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<p>Data Modeler</p><b>Project Role : </b>Data Modeler<br/><b>Project Role Description : </b>Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.                                                                                                                                                                                                                                                                                                                                                                                                     <br/><b>Must have skills : </b>Data Architecture Principles<br/><b>Good to have skills : </b>NA<br/>Minimum <b>5</b> year(s) of experience is required<br/><b>Educational Qualification : </b>15 years full time education<br/><br/>Summary: 
As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices in data architecture, facilitating discussions to gather requirements, and providing insights that drive data-driven decision-making across the organization. Your role will be pivotal in bridging the gap between technical and non-technical teams, ensuring that data is effectively utilized to meet business goals and enhance operational efficiency.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate training sessions for junior team members to enhance their understanding of data modeling.
- Continuously evaluate and improve data modeling processes to ensure efficiency and effectiveness.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong understanding of data modeling techniques and methodologies.
- Experience with data governance frameworks and best practices.
- Ability to translate business requirements into technical specifications.
- Familiarity with data integration tools and ETL processes.
 
Additional Information: 
- The candidate should have minimum 5 years of experience in Data Architecture Principles.
- This position is based at our Chennai office.
- A 15 years full time education is required.

Accenture India Private Limited

Data Engineer

<p>Data Engineer</p><b>Project Role : </b>Data Engineer<br/><b>Project Role Description : </b>Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.                                                                                                                                                                                                                                                                                                <br/><b>Must have skills : </b>Python (Programming Language)<br/><b>Good to have skills : </b>NA<br/>Minimum <b>3</b> year(s) of experience is required<br/><b>Educational Qualification : </b>15 years full time education<br/><br/>Summary: 
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible and reliable for decision-making purposes.
 
Roles &amp; Responsibilities: 
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Develop and optimize data pipelines to enhance data processing efficiency.
- Collaborate with data scientists and analysts to understand data needs and provide necessary support.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Python (Programming Language).
- Strong understanding of data structures and algorithms.
- Experience with ETL tools and data integration techniques.
- Familiarity with database management systems and SQL.
- Knowledge of data quality frameworks and best practices.
 
Additional Information: 
- The candidate should have minimum 3 years of experience in Python (Programming Language).
- This position is based at our Gurugram office.
- A 15 years full time education is required.

<p>I&F Decision Sci Practitioner Sr Analyst</p><b>Skill required:</b> Delivery - Data Analytics<br/><b>Designation:</b> I&amp;F Decision Sci Practitioner Sr Analyst<br/><b>Qualifications:</b>BSc/MSc  <br/><b>Years of Experience:</b>5 to 8 years  <br/><b>About Accenture</b><br/>Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and  Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.  We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and  communities.Visit us at www.accenture.com <br/><b>What would you do?</b> Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
A Data Scientist is a professional who analyzes and interprets complex data to help organizations make informed decisions. They use statistical methods, algorithms, and machine learning to extract insights, identify trends, and solve problems. Their work involves data collection, cleaning, modeling, and visualization.
Analyze, inspect, clean, transform, and model data.<br/><b>What are we looking for?</b> • 1+ year of experience in Data Analytics
• Knowledge on Wealth/Wholesale Banking domain
• SQL (Structured Query Language)/ SAS code development (SAS Enterprise Guide)
• Snowflake
• Tableau/Power BI/Sigma
• Matillion
• Python
• Passion to learn and quickly upskill on Technologies and Good team player
• Self-learning capabilities
• Adaptable flexible and problem-solving skills
• Good communication, analytical and presentation skill <br/><b>Roles and Responsibilities:</b> • Designing BAU and Adhoc Reports/Dashboard using tools like SAS, Tableau, PowerBI, etc
• To take ownership of the reports and deliver BAU reports on high priority
• Automate and Document reports, dashboards, and data dictionaries
• Create data pipelines and schedule ETL workflows
• Stakeholder interaction and requirement gathering

Data Scientist

<p>Analytics and Modeling Analyst</p><b>Skill required:</b> Analytics - Reporting Analytics<br/><b>Designation:</b> Analytics and Modeling Analyst<br/><b>Qualifications:</b>Any Graduation  <br/><b>Years of Experience:</b>3 to 5  <br/><b>About Accenture</b><br/>Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and  Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.  We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and  communities.Visit us at www.accenture.com <br/><b>What would you do?</b> The  Business  Intelligence  &amp;  Analytics  (BI&amp;A)  function  is  part  of  CF  Operations  under  Accenture  Operations  and  is  engaged  in  an  ongoing  program  to  support  Markets  and  Services.  BI&amp;A  team  member  is  part  of  the  team  that  provides  operations  support  to  Markets  and  Services  leadership.  He/she  will  be  responsible  for  delivering  data  driven  analytics  to  Market  &amp;  Services  leadership.    The  Analytics  and  Modeling  Senior  Analyst  will  be  responsible  to  deliver  analytics  to  one  of  the  Markets/  Services.  Whether  you    re  measuring  sales  performance,  analyzing  trends,  data  mining,  or  optimizing  SQL  queries,  the  Senior  Analyst  will  be  working  with  the  cutting-edge  technology  and  big  datasets.  Working  in  the  Business  Operations  Data  Integration  team  is  a  premier  opportunity  to  develop  a  career  in  Business  Analytics.At  their  core,  Analytics  and  Modeling  Senior  Analysts  are  not  only  required  to  be  strong  in  quantitative  analysis,  data  visualization,  enjoy  coding  but  also  want  to  balance  that  with  their  interest  in  business.  The  role  requires  them  to  think  critically  to  tackle  complex  challenges,  thrive  in  a  fast-paced  environment  and  seeking  a  high-growth  opportunity  where  they  will  have  an  immediate  impact  on  day  one.<br/><b>What are we looking for?</b> QUALIFICATIONS•  Any  graduate  degree  (or  equivalent)  required,  full  time  MBA  preferred•  4  –  6  years  of  post-education  experience,  with  at  least  4-5  years  of  relevant  experience•  Strong  knowledge  of  advanced  Excel,  PowerPoint  and  at  least  one  of  the  data  visualization  tools  such  as  Power  BI•  Strong  Knowledge  of  SQL,  SSRS,  Access,  VBA  will  be  highly  preferredTOP  REQUIRED  BEHAVIORS  AND  SKILLS•  Preferably  handled  projects  in  the  areas  of  data  visualization  and  analytics•  Good  understanding  of  dashboards  and  scorecards  for  leadership  review  •  Preferably  an  expert  on  MS  Excel  &amp;  Macros  and  with  prior  experience  or  hands  on  in  either  one  or  more  of  the  following  -  SFDC,  SQL  Server,  Sales  Analytics,  SAP  BI  or  any  other  Business  intelligence  platforms•  Ability  to  multitask  to  meet  deadlines  and  quality  expectations  •  Analytical/problem  solving  skills•  Accuracy  and  attention  to  detail;  prioritizes  and  plans  work  activities•  Good  communication  in  English  (written  and  oral)  and  interpersonal  skills.  Ability  to  interact  with  international  stakeholders•  Experience  in  handling  global  clients  preferred•  Willing  to  go  the  extra  mile  for  the  team  when  required•  Ability  to  work  under  minimal  supervision  and  guidance•  Willingness  to  learn  and  deliver  with  a  positive  attitude <br/><b>Roles and Responsibilities:</b> ACCOUNTABILITIESBusiness  operations  support  to  Services/  Markets  including  •  Business  Intelligence  &amp;  Analytics    to  produce  analytics  across  multiple  dimensions  of  business  -  Finance,  Sales,  Talent,  Quality,  Delivery,  external  competition  and  others  as  needed  by  the  Market/  Service  leadership•  Data  Visualization•  Reporting  &amp;  Analytics•  Driving  adoption  of  Standard  Accenture  tools•  Working  in  an  agile  way  –  on  demand  change  request,  real  time  support  for  ad  hoc  reporting  requestsRESPONSIBILITIES•  Act  as  a  business  partner  to  provide  analytics,  management  operations  support  and  reporting  to  Market/  Service  Leads  to  help  them  run  their  portfolios,  understand  key  performance  metrics  and  drive  performance  improvements•  Provide  analysis  for  programs  jointly  as  needed  that  include  pipeline  improvement,  win/loss,  account  planning,  profitability  improvement  analysis,  chargeability  analysis•  Use  latest  analytics  and  data  visualization  tools  such  as  Power  BI,  for  effective  data  representation  to  provide  insights  to  business•  Identify  process  improvement  opportunities  to  develop  effective  business  solutions•  Develop  process  documentation,  communications,  and  reports  required  to  support  leadership•  Foster  relationships  and  partner  with  internal  teams,  and  external  business  functions  to  deliver  business  results  •  Work  with  different  stakeholders  to  gain  input  needed  to  drive  key  business  discussions  /outcomes•  Build  functional  and  technical  skills  foundation•  Participate  and  contribute  to  regular  team  discussions  and  process  improvement  initiatives•  Take  responsibility  for  personal  skill  development  and  career  management

Senior Analyst

<p>I&F Decision Sci Practitioner Sr Analyst</p><b>Skill required:</b> Delivery - Customer Insights<br/><b>Designation:</b> I&amp;F Decision Sci Practitioner Sr Analyst<br/><b>Qualifications:</b>Any Graduation  <br/><b>Years of Experience:</b>5 to 8 years  <br/><b>About Accenture</b><br/>Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and  Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.  We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and  communities.Visit us at www.accenture.com <br/><b>What would you do?</b> We’re Accenture Marketing Operations. We’re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations. Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client’s business while accelerating time-to-market and operating efficiently at scale. We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.
You will be working as part of the Marketing Operations team, collecting, processing, and analyzing consumer and market data to uncover trends and deliver actionable insights that support informed decision-making. This role will involve developing dashboards, scorecards, and recurring reports that clearly communicate findings to stakeholders, while ensuring accuracy, consistency, and reliability through robust QA practices.
You will partner with cross-functional teams to align insights with business priorities, optimize reporting processes for efficiency and scalability, and provide both recurring and ad-hoc analyses to guide strategy and execution. You will also be responsible for breaking down the end-to-end process to identify automation/improvement opportunities and create automation / transformation roadmaps.<br/><b>What are we looking for?</b> • Primary skillset should be storytelling, data visualization, customer and consumer insight generation
• 3-5 years of experience in consumer insights / analytics, preferably with a MNC or a research agency
• Proven experience in consumer and market research tools (brand tracking, panel/sales, segmentation)
• Strong quantitative and qualitative insights toolkit with the ability to synthesize inputs
• Strong commercial acumen with a deep understanding of consumer needs, attitudes, and behaviors
• Agency/third-party management and stakeholder steering experience
• Excellent communication skills (verbal and written)
• Attention to detail and ability to work in high pressure environment
• Familiarity with BI tools (Power BI/Tableau/Looker) and Askia Explorer (or similar platforms) is a plus
• Knowledge of QA practices, documentation, and version control
• Familiarity with international work environments and English-speaking stakeholders
• Experience applying consumer insights to CRM or digital personalization strategies
• Exposure to advanced analytics tools and emerging data technologies <br/><b>Roles and Responsibilities:</b> • Deliver end-to-end consumer insights: scope briefs, coordinate with data team, ensure data accuracy, and provide decision-ready outputs
• Translate data into clear reports, dashboards, and presentations tailored to stakeholders
• Act as SPOC for Insights requests, prioritizing and managing timely delivery with high quality
• Maintain data hygiene, documentation standards, and track service KPIs
• Support insights strategy and identify opportunities for process improvement
• Build strong cross-functional relationships to align priorities and share knowledge
• Present insights to management, linking findings to strategic and actionable recommendations

<p>EY - GDS Consulting - AI And DATA - AWS/Azure Databricks - Senior</p><span class="jobdescription"> <p> <span> <span>    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.   </span> </span> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> <strong> <span>    Job Description for Senior Data Engineer   </span> </strong> </p> <p> <strong> <span>    Rank – Senior   </span> </strong> </p> <p> </p> <ul> <li> <p> <strong> <span>      Objectives and Purpose     </span> </strong> </p> <p> <strong> <span> </span> </strong> </p> <ul> <li> <span>      The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs.     </span> </li> <li> <span>      The Senior Data Engineer will:     </span> <ul> <li> <span>        Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses.       </span> </li> <li> <span>        Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools.       </span> </li> <li> <span>        Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes.       </span> </li> </ul> </li> </ul> <p> </p> <p> <strong> <span>      Your key responsibilities     </span> </strong> </p> <p> <strong> <span> </span> </strong> </p> <ul> <li> <span>      Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity.     </span> </li> <li> <span>      Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment.     </span> </li> <li> <span>      Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity.     </span> </li> <li> <span>      Implement processes and systems to provide accurate and available data to key stakeholders, downstream systems, and business processes.     </span> </li> <li> <span>      Partner with Business Analysts and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.     </span> </li> <li> <span>      Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.     </span> </li> <li> <span>      Mentor and coach junior Data Engineers on data standards and practices, promoting the values of learning and growth.     </span> </li> <li> <span>      Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.     </span> </li> </ul> <p> </p> <p> <strong> <span>      To qualify for the role, you must have the following:     </span> </strong> </p> <p> <strong> <span> </span> </strong> </p> <p> <strong> <span>      Essential skillsets     </span> </strong> </p> <ul> <li> <span>      Bachelor's degree in engineering, Computer Science, Data Science, or related field     </span> </li> <li> <span>      6+ years of experience in software development, data engineering, ETL, and analytics reporting development     </span> </li> <li> <span>      Experience in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines.     </span> </li> <li> <span>      Proven track record of designing and implementing complex data solutions     </span> </li> <li> <span>      Demonstrated understanding and experience using:     </span> <ul> <li> <span>        Python &amp; PySpark: Ability to write efficient scripts for data transformation, and pipeline orchestration, knowledge of Spark or any distributing frameworks       </span> </li> <li> <span>        Knowledge of data modelling and data architecture principles       </span> </li> <li> <span>        Familiarity with event-driven architectures , API -based data sources , data quality validation, archival strategies, and incremental loading.       </span> </li> <li> <span>        Distributed Data Framework (e.g., Spark). Good understanding of Spark architecture       </span> </li> <li> <span> </span> <span>        Cloud platform services (AWS / Azure).       </span> <span> </span> <span>        AWS services (AWS Glue, Lambda, S3 , Stepfunctions)       </span> </li> <li> <span>        Proficiency in SQL and relational database management systems       </span> </li> <li> <span>        Optimize and tune database performance, including indexing, query optimization, and storage management.       </span> </li> <li> <span>        CICD - Terraform or CloudFormation, Jenkins ,Bitbucket : For infrastructure-as-code and deployment automation.       </span> </li> <li> <span>        Experience with database design concepts: schema definition, normalization, relationships, indexing, constraints.       </span> </li> <li> <span>        Knowledge of Data lakes, Data warehouses       </span> </li> <li> <span>        Databricks/Delta Lakehouse architecture       </span> </li> <li> <span>        Code management platforms like Github/ Gitlab/ etc.,       </span> </li> </ul> </li> <li> <span>      Understanding of database architecture, Data modelling concepts and administration.     </span> </li> <li> <span>      Handson experience of Spark Structured Streaming for building real-time ETL pipelines.     </span> </li> <li> <span>      Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases.     </span> </li> <li> <span>      Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals.     </span> </li> <li> <span>      Strong organizational skills with the ability to work multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.     </span> </li> <li> <span>      Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners     </span> </li> <li> <span>      Strong problem solving and troubleshooting skills     </span> </li> <li> <span>      Ability to work in a fast-paced environment and adapt to changing business priorities     </span> </li> </ul> <strong> <span> <span> <br/></span> </span> </strong> <p> <strong> <span>      Desired skillsets     </span> </strong> </p> <ul> <li> <span>      Master's degree in engineering specialized in Computer Science, Data Science, or related field     </span> </li> <li> <span>      Experience working with pharma clients, preferably in commercial pharma, marketing and medical affairs     </span> </li> <li> <span>      Demonstrated understanding and experience using:     </span> <ul> <li> <span>        Job orchestration tools like Tidal/Airflow/ or similar       </span> </li> <li> <span>        Knowledge on No SQL       </span> </li> </ul> </li> <li> <span>      Databricks Certified Data Engineer Associate     </span> </li> <li> <span>      AWS Certified Data Engineer - Associate     </span> </li> </ul> </li> </ul> <p> </p> <p> <span> <span> <b>     EY | Building a better working world    </b> </span> </span> </p> <p> <br/><span> <span> <br/>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.   </span> </span> </p> <p> <br/><span> <span> <br/>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.   </span> </span> </p> <p> <br/><span> <span> <br/>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.   </span> </span> </p></span>

Ernst & Young LLP ( EY India )

<p>Senior Machine Learning Engineer(AI)</p><div class="section page-centered" data-qa="job-description"><div><b><u>About Us:</u></b></div><div><span>Paytm is India’s largest digital payments and financial services platform, leading the mobile QR revolution. We power millions of businesses and individuals, and we’re building scalable, resilient systems to serve half a billion Indians and beyond.</span></div><div><br/></div><div><span>Here at Paytm, technology isn't just about keeping up, it's about building the future. We believe the next generation of engineers must not only scale systems to billions but also leverage AI and GPT tools to accelerate innovation</span></div><div><br/></div><div><b><u>About the Role:</u></b></div><div><span>We're looking for a Senior AI engineer with 3-6 years of experience, who can build production-grade agentic AI systems. You'll be working at the intersection of cutting-edge AI research and scalable engineering, creating autonomous agents that can reason, plan, and execute complex tasks reliably at scale</span></div><div><br/></div><div><b><u>What We're Looking For:</u></b></div><div><br/></div><div><span>Agentic AI &amp; LLM Engineering</span></div><div><br/></div><div><b>You should have hands-on experience with:</b></div><div><br/></div><div><b>1) Multi-agent systems</b><span>: Building agents that coordinate, communicate, and work together on complex workflows.</span></div><div><b>2) Agent orchestration</b><span>: Designing systems where AI agents can plan multi-step tasks, use tools, and make autonomous decisions.</span></div><div><b>3) LLMOps Experience</b><span>: End-to-End LLM Lifecycle Management - hands-on experience managing the complete LLM workflow from prompt engineering and dataset curation through model fine-tuning, evaluation, and deployment. This includes versioning prompts, managing training datasets, orchestrating distributed training jobs, and implementing automated model validation pipelines. Production LLM Infrastructure - experience building and maintaining production LLM serving infrastructure including model registries, A/B testing frameworks for comparing model versions, automated rollback mechanisms, and monitoring systems that track model performance, latency, and cost metrics in real-time.</span></div><div><b>4) AI Observability</b><span>: Experience implementing comprehensive monitoring and tracing for AI systems, including prompt tracking, model output analysis, cost monitoring, and agent decision-making visibility across complex workflows.</span></div><div><b>5) Evaluation frameworks</b><span>: Creating comprehensive testing for agent performance, safety, and goal achievement.</span></div><div><b>6) LLM inference optimization</b><span>: Scaling model serving with techniques like batching, caching, and efficient frameworks (vLLM, TensorRT-LLM)</span></div><div><br/></div><div><span>Systems Engineering</span></div><div><br/></div><div><b>Strong backend development skills including:</b></div><div><br/></div><div><b>1) Python expertise</b><span>: FastAPI, Django, or Flask for building robust APIs that handle agent workflows</span></div><div><b>2) Distributed systems</b><span>: Microservices, event-driven architectures, and message queues (Kafka, RabbitMQ) for agent coordination</span></div><div><b>3) Database strategy</b><span>: Vector databases, traditional SQL/NoSQL, and caching layers optimized for agent state management</span></div><div><b>4) Web-scale design</b><span>: Systems handling millions of requests with proper load balancing and fault tolerance</span></div><div><br/></div><div><b>DevOps (Non-negotiable)</b></div><div><br/></div><div><b>1) Kubernetes</b><span>: Working knowledge required - deployments, services, cluster management</span></div><div><b>2) Containerization</b><span>: Docker with production optimization and security best practices</span></div><div><b>3) CI/CD</b><span>: Automated testing and deployment pipelines</span></div><div><b>4) Infrastructure as Code</b><span>: Terraform, Helm charts</span></div><div><b>5) Monitoring</b><span>: Prometheus, Grafana for tracking complex agent behaviors</span></div><div><span>Programing Language : Java , Python</span></div><div><br/></div><div><b><u>What You'll Build</u></b></div><div><br/></div><div><span>You'll architect the infrastructure that powers our autonomous AI systems:</span></div><div><br/></div><div><b>Agent Orchestration Platform</b><span>: Multi-agent coordination systems that handle complex, long-running workflows with proper state management and failure recovery.</span></div><div><b>Evaluation Infrastructure</b><span>: Comprehensive frameworks that assess agent performance across goal achievement, efficiency, safety, and decision-making quality.</span></div><div><b>Production AI Services</b><span>: High-throughput systems serving millions of users with intelligent resource management and robust fallback mechanisms.</span></div><div><b>Training Systems</b><span>: Scalable pipelines for SFT and DPO that continuously improve agent capabilities based on real-world performance and human feedback.</span></div><div><br/></div><div><b><u>Ideal Profile:</u></b></div><div><br/></div><div><b>1)</b><span> You've spent serious time in production environments building AI systems that actually work. You understand the unique challenges of agentic AI - managing state across long conversations, handling partial failures in multi-step processes, and ensuring agents stay aligned with their intended goals.</span></div><div><b>2)</b><span> You've dealt with the reality that the hardest problems aren't always algorithmic. Sometimes it's about making an agent retry gracefully when an API call fails, or designing an observability layer that catches when an agent starts behaving unexpectedly, or building systems that can scale from handling dozens of agent interactions to millions.</span></div><div><b>3)</b><span> You're excited about the potential of AI agents but pragmatic about the engineering work required to make them reliable in production.</span></div><div><br/></div><div><b>Preferred Qualifications:</b><span> Bachelor's/Master's Degree in Computer Science or equivalent</span></div></div>

Paytm Services Private Limited

<p>Sr Data Scientist</p>Should have the hands on experience to train computer vision and deep learning models to solve computer vision use cases.
•	Should be able to create and optimize algorithms for image and video analysis, for tasks such as object detection, image recognition, segmentation and video analytics.
•	Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
•	Should be able to articulate camera calibration and region of interest extraction.
•	Should have experience working on a large-scale implementation with 100+ stream in real time
•	Fine-tune deep learning models like CNNs, vision transformers using frameworks such as Tensorflow, PyTorch, onnx etc.
•	Should have used NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment.
•	Should have knowledge of optimizing inferencing pipelines to work on edge 
•	Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it.
•	Should have experience working on action recognition with temporal analysis 
•	Should have knowledge on pruning the model for deploying on edge/ARM devices
•	Collaborate with Business and IT teams

Infosys

<p>Data Science - Lead</p>•	Proficiency in programming languages such as Python.
•	Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
•	Strong understanding of machine learning algorithms and statistical methods.
•	Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
•	Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets. •	Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
•	Experience: Minimum of 3 years of experience in AI, generative AI, and analytics. •	Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
•	Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
•	Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
•	Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
•	Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
•	Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
•	Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.

<p>Analytics Programmers</p>ROLE AND RESPONSIBILITIES
•	As a Programmer Analyst, lead the engagement efforts at different stages from problem definition to diagnosis to solution design, development &amp; deployment in large implementation and support program. 
•	Connect with senior client business and IT stakeholders, demonstrating thought leadership in domain, process, and technology.  
REQUIRED SKILLS AND EXPERIENCE

•	At least 5 years of pure analytics experience programming in languages Python, R, 
•	Experience of working with advanced AI Libraries like Caffe, TensorFlow, Keras, etc. in at least one project.
•	Good understanding of Agile methodologies. 
•	Preferred understanding of business processes in the airlines domain / government clients
SKILLS
•	Proactive approach to problem solving.  
•	Experience in working in Global delivery model (GDM) will be an added advantage.
•	Excellent team management skill
•	High analytical skills
•	A high degree of initiative and flexibility
•	High customer orientation
•	High quality awareness

Programmer Analyst

<p>Celonis Data Engineer/Consultant</p>Celonis
•	You have 2+ years of relevant work experience in process and data modelling.
•	You have worked with data from ERP systems like SAP.
•	You have a proven track record in using SQL and Python.
•	You are a team player and can communicate data structural concepts and ideas to both technical and non-technical stakeholders.
•	You have strong analytical skills and have an affinity with business concepts.
•	Celonis Data Engineer/Implementation Professional certification will be an advantage.
•	Celonis project experience will be a big plus. •	You will be part of an innovative team that drives our Celonis initiatives and to dive into business processes to determine root causes, quantify potential, and establish and drive improvement initiatives that make businesses more efficient.
•	You will set up and maintain data models that will be the basis of the analyses and work together closely with the business analysts to generate the customized set of analytics that serve as a single source of truth for business performance measurement as well as data-driven decision making.
•	You are responsible for setting data dictionary and maintaining data governance on the created structure.
•	You identify the best possible strategy for data collection, ensure the data quality and work together with the stakeholders responsible for the data input to ensure we can correctly measure and track all necessary information.
•	Collaborate with source system experts to ensure the source systems are set up correctly to gather all relevant information and support the most effective data structures.
•	Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing.

<p>Consultant - Business Consulting (Data Science/Engg)</p>5 – 10 years of Python data engineering experience
• Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc., on AZURE.
• Experience in developing ETL, OLAP based and Analytical Applications.
• Experience in ingesting batch and streaming data from various data sources.
• Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
• Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
• Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services
• Experience of DevOps and CD/CD tools.
• Familiarity with Rest APIs
• Experience with CI/CD pipelines, branching strategies, &amp; GIT for code management
• Comfortable working in Agile projects 
• Bachelor's degree in computer science, information technology, or a similar field. • Clear and precise communication skills You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
• Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
• You will be confronted with a large variety of Data Engineer tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
• Design and develop world-class technology solutions to solve business problems across multiple client engagements.
• Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
• Work closely with AI and A team to build world-class solutions and to define AI strategy.
• You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
• Strong verbal, written and presentation skills

Business Intelligence Engineer

<p>Axiom Developer</p>Axiom, Regulatory Reporting, Unix. Contribute to estimation and design forums. Ability to prioritise and meet deadlines in highly innovative and fast paced environment.
Work in a geographically dispersed team.
Support automated system testing, user testing, and production implementation.
Proactively working/managing system performance enhancement.
Good coordination/communication with client to understand their requirements.
Functional knowledge for Regulatory Reporting will be added advantage.

Junior Software Developer

<p>Quantexa Engineers</p>Scala and Spark hands-on.
· Quantexa certification and experience of Quantexa project delivery.
· Quantexa ETL
· Quantexa Scoring Strong Design and Development exposure
· Strong communication skills, both written and verbal.
· Highly motivated self-driven with a positive attitude.
· Basic understanding of MS Azure.
· CI/CD pipelines using Jenkins.
· Kubernetes.

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