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Data Science - Lead•	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.

Infosys

Data Scientist

Machine Learning EngineerPreferred Qualifications:
•	Experienced in Agile way of working, manage team effort and track through JIRA
•	High Impact client communication 
•	Domain experience in Retail, CPG and Logistics 
•	Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. EEO/About Us :
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Roles &amp; Responsibilities:
•	Understand the requirements from the business and translate it into an appropriate technical requirement.
•	Responsible for successful delivery of MLOps solutions and services in client consulting environments; 
•	Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.
•	Assist clients with operationalization metrics to track performance of ML Models
•	Help team with ML Pipelines from creation to execution
•	Guide team to debug on issues with pipeline failures
•	Understand and take requirements on Operationalization of ML Models from Data Scientist
•	Engage with Business / Stakeholders with status update on progress of development and issue fix
•	Setup Standards related to Coding, Pipelines and Documentation
•	Research on new topics, services and enhancements in Cloud Technologies

Data Annotation Engineer

Consultant - Data Governance/Syniti MDM/STIBO/RiversandYears of experience: - 7+ years of experience 1. Experience in either Syniti, Syndigo/Riversand, STIBO OR Data Governance 
2. Understand the various data model templates and work experience using those templates in projects.
3. Good in technical Issue resolutions owning complex technical configurations.
4. Handle complex workflows and complex business rules.
5. Business Opportunity is open for all Infosys Off-shore locations.

Data Analyst Intern

Sr Data ScientistShould 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

AI/DNA-Data ScientistsRequired Skills &amp; Experience
•	4+ years of relevant in advanced analytics and model development.
•	4+ years of hands-on experience in Python and other open-source analytical tools.
•	Strong expertise in data analytics, data handling, and statistical programming using modern IT tools.
•	Understanding of Data Warehousing, Business Intelligence, and AI-based solutions.
•	Proven experience in Agile methodologies, including iterative development and sprint planning.
•	Experience working in highly regulated environments, ensuring data governance and compliance.
•	Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
•	Exposure to cloud platforms (AWS, Azure, GCP).
•	Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA).
________________________________________ . Key Responsibilities
•	Work on end-to-end data science engagements from problem definition to solution development.
•	Design and implement advanced analytical models and process frameworks.
•	Collaborate with different stakeholders, providing domain and technical thought.
•	Perform Fit/Gap analysis and translate business needs into actionable data solutions.
•	Ensure compliance with release governance and manage incidents using industry-standard tools.
•	Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs).
________________________________________

Axiom DeveloperAxiom, 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

Python ML developers"	•	2+ years Python/Data Science skillset
	•	5 years of experience with building data pipelines, data processing and reporting using Python
	•	Python libraries  numpy, Pandas,  matplotlib, seaborn, Scikitlearn Data Science  Data Manipulation, Wrangling, time series forecasting etc prior experience in any data science project building data pipelines, data processing and reporting
	•	Experience of using Agile based development methodologies
	•	Good understanding software development and Enterprise architecture patterns
	•	Hands-on experience with open source big data technologies
	•	Data processing experience with Streaming, data wrangling, crawling using Python libraries
	•	Expertise and understanding of common methods in data transformation
	•	Ability to understand API Specs, determine relevant API calls,
	•	ETL i.e. Extract-&gt;Transform-&gt;Load data and implement SQL friendly data structures "Python application development - 4+ in python/scala
Python - experience in using, file operation , OOPS, multiprocessing and threading
SQL and PL/SQL development
RDBMS and Data modelling
Experience in REST service development
Experience in docker and kubernetes deployments
Basic idea of Cloud architecture and services -  Excellent Python programming and debugging skills. (Refer to Pytho JD given below)
-  Proficiency with SQL, relational databases, &amp; non-relational databases
-  Passion for API design and software architecture.
-  Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners
-  Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch).
 - Experience unsupervised ML algorithms.
 - Experience in Timeseries models and Anomaly detection problems.
-  Experience with modern large language model (Chat GPT/BERT) and applications.
-  Expertise with performance optimization.
-  Experience or knowledge in public cloud AWS services - S3, Lambda.
-  Familiarity with distributed databases, such as Snowflake, Oracle.
-  Experience with containerization and orchestration technologies, such as Docker and Kubernetes.

Python Developer

AI/ML• Data collection, profiling, EDA &amp; data preparation 
• AI Model development, tuning &amp; validation 
• Visualization tools (e.g., PowerBI, tableau) 
• Present findings to business users &amp; project management teams 
• Propose ML based solution approaches and estimates for new use cases 
• Contribute to AI based modules in Infosys solutions development 
• Explore new advances in AI continuously and execute PoCs 
• Mentoring: guide other team members 
• ML algorithms 
• AI domains: NLP, speech, computer vision 
• Supervised, Unsupervised, Reinforcement learning 
• Tools for data analysis, auto ML, model deployment and scaling 
• Knowledge of datasets 
• Programming: Python 
• Databases
• Knowledge of cloud platforms: Azure/AWS/GCP. Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.

Data Science Intern

FHIR Data Analyst• At least 1 year of experience in HL7 FHIR implementation.
• Deep knowledge of HAL7 FHIR 4.0.1 standard
• Knowledge of FHIR implementation guides like DaVinci, CARIN, US Core etc.
• Experience performing data mapping of Source data sets to FHIR resources
• Analyzes the business needs, defines detailed requirements, and provides potential solutions/approaches with the business stakeholders
• Strong experience and understanding of Agile Methodologies
• Strong written and oral communication and interpersonal skills
• Strong analytical, planning, organizational, time management and facilitation Skills
• Strong understanding and experience of SDLC and documentation skills
• Proficiency in Microsoft Suite (Word, Excel, Access, PowerPoint, Project, Visio, Outlook), Microsoft SQL Studio, JIRA A day in the life of an Infoscion
•	As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. 
•	You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
•	You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
•	You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
•	You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Insurance Analyst

Data Science PractitionerProject Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization.
 
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 knowledge sharing and mentorship within the team to enhance overall performance.
- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Strong analytical skills with the ability to interpret complex data sets.
- Experience with programming languages such as Python or R for data analysis.
- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.
- Knowledge of data visualization tools to effectively communicate insights.
 
Additional Information: 
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

Accenture India Private Limited

Measurement & Report SpecialistSkill required: Business Reporting &amp; Governance - Reporting Analytics Designation: Measurement &amp; Report Specialist Qualifications:Any Graduation Years of Experience:7 to 11 years About Accenture 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 What would you do? The Business Reporting and Governance vertical helps to deploy and deliver robust tracking mechanism for SLA/KPI or any other operations on a day-to-day basis. The Governance team will be responsible for contractual compliance of various aspects of contract like Governance, Reporting, Incident Management, Change Management and Survey Management along with driving automation and analytics. Assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information through a system of decision rights and accountabilities for information related processes, executed according to agreed-upon models which describe who can take what actions, with what information, when, under what circumstances and using what methods. What are we looking for? •	Effective communication and organization skills with Polished, professional presence
•	Client and Stakeholder Management experience.
•	Experience in reporting of contractual metrics and operational KPIs
•	Demonstrate ability to achieve customer satisfaction through a managed service framework.
•	Facilitation skills and Virtual teaming experience
•	Adaptability to change.
•	Effective collaboration skills and experience
•	Adept in working across a heavily matrixed organization.

Skills
•	Proficient in MS Office with advance knowledge in excel formulas.
•	Ability to create Nice &amp; User friendly excel / Bi dashboards. 
•	Ability to create meaningful presentation through PowerPoint.
•	Knowledge in Power Automate, Power Apps, Powerbi
•	Automation abilities using VBA Macro’s
•	Good Understanding of processes like (e.g., F&amp;A, Marketing Operations, HR, Procurement and Supply Chain)
•	People / Team Management Roles and Responsibilities: •	Work on one or more projects. 
•	Ensure Daily / Weekly / Monthly Reports are delivered on time with accuracy.
•	Deliver ad hoc reports.
•	Connect with stakeholders to understand the business requirement and deliver the reports accordingly.
•	Should have ability to perform Analysis on historical data and generate insights by finding trends in data to spot any anomaly to the stake holders.
•	Drive Value Add’s by automating reports / processes to drive and bring in efficiency.
•	Connect with Stakeholders and drive governance around performance metrics.
•	Individual Contributor or Manage a team dedicated for the assignment and drive performance.

Quality Control Inspector

Data ScientistExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
•	Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
•	Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
•	Familiarity with real-time data processing and streaming analytics.
•	Passion for learning and staying at the forefront of data science and machine learning advancements. Good knowledge on software configuration management systems
•	Strong business acumen, strategy and cross-industry thought leadership
•	Awareness of latest technologies and Industry trends
•	Logical thinking and problem solving skills along with an ability to collaborate
•	Two or three industry domain knowledge 
•	Understanding of the financial processes for various types of projects and the various pricing models available
•	Client Interfacing skills
•	Knowledge of SDLC and agile methodologies 
•	Project and Team management Master's degree in Computer Science, Statistics, Mathematics, or a related field.
•	7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
•	Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
•	In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees

Senior BI - GenAI LeadNice to Have (Preferred):
•	Proficiency in SSIS and DAX for advanced data manipulation and analysis.
•	Basic to intermediate experience with Python for AI solution development.
•	Exposure to generative AI and graph databases.
•	Understanding of Microsoft Fabric and its application in BI environments.
•	Proven track record in leading BI projects and driving innovation. Good to Have Skills:
•	API Services understanding(Basic), Microsoft Azure, Agentic AI
Minimum Qualifications:
•	B.Tech or M.Tech in a related field.
•	5+ years of experience with SQL, Data Modelling, ETL, SSAS, and Power BI. Key Responsibilities:
•	Lead and transform the design and implementation of data models and ETL processes to support business intelligence needs.
•	Develop and maintain SSAS and Power BI solutions, ensuring data accuracy and availability.
•	Utilize SQL for data extraction and manipulation, ensuring efficient and effective data handling.
•	Collaborate with cross-functional teams to integrate generative AI solutions into existing BI frameworks.
•	Drive the adoption of best practices in data governance and quality management.
•	Mentor and guide junior team members in BI and AI technologies.

Business Intelligence Developer

AI/ML3+ years in MLOps or related roles - Data Science
- Hands-on experience with ML model deployment and monitoring - System Administration
- Proven track record of implementing CI/CD pipelines - Automation Tools
- Experience with version control systems (Git). Assess the complete ML development process.
- Data Engineering
- Evaluate the maturity level of ML systems.	
- Software Development
- Provide recommendations for improvement - DevOps
- Implement and maintain CI/CD pipelines for ML models.	 
- Monitor and manage model performance in production.

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