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Senior Data Engineer <ul><li>Architect and optimize large-scale data pipelines</li><li>Work with cutting-edge tools like MWAA, ECS, Glue, Redshift, Airflow, Terraform</li><li>Collaborate in Agile teams and integrate CI/CD workflows</li><li>Drive innovation with AI/ML workflows and modern observability tools</li></ul> What We’re Looking For:<ul><li>8+ years of hands-on experience in Data Engineering</li><li>Deep knowledge of AWS services and distributed systems</li><li>Strong experience with Databricks (PySpark, Delta Lake), DBT, and data modeling</li><li>Bonus: Experience with Meltano, AI/ML pipelines, and tools like Datadog or Prometheus</li></ul> Share your resume now.

GSPANN Technologies

Data Engineer

Big Data Pyspark Engineer Impetus is actively seeking skilled individuals to join our dynamic team. We currently have below job opening and would be thrilled to explore opportunities with you! Open Position: Big Data Pyspark EngineerSkills: Python, Apache Spark, Pyspark, SQL, Big Data ecosystem, CloudExperience: 4 to 7 years

Impetus Technologies India Pvt Ltd

Cloud Automation Engineer

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

Xoriant

Product Lead

ML Tech Lead, Sensor Intelligence<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li>5 years of experience testing, and launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience in machine learning, deep learning, and AI development, with a proven track record of building and deploying production-level models and ML-Infra.</li><li>Ability to work effectively with teams, including Product Managers, ML Software Engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring effective collaboration between local and US-based teams to deliver AI-driven solutions.</li><li>Ability to work with distributed teams across multiple time zones, fostering excellent communication, collaboration, and a sense of shared purpose even in a remote work environment.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Do research on sensor technologies and evaluate large-scale sensor data for training sensor foundation models.</li><li>Build new sensor foundation models and write and test product or system development code.</li><li>Collaborate with researchers and translate research findings from sensor data into practical applications for Fitness and health.</li><li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li><li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Data Scientist

Staff Data Scientist I We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics.&nbsp;The performance of our models and experiments are seen astonishingly quickly – the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate – you see the value of your work incredibly fast. Who Are You?<ul><li>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</li><li>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</li><li>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</li><li>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists – a rock-star data scientist can come from any academic field.</li></ul> Required:<ul><li>Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</li><li>7-10 years of work experience in a quantitative field, with model building and validation experience.</li><li>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</li><li>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</li><li>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</li><li>Comfortable collaborating with cross-functional teams.</li><li>Familiarity with challenges of the identity-less world, particularly for iOS and Android&nbsp;</li><li>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</li><li>Possess a high degree of curiosity and ability to rapidly learn new areas.</li></ul>&nbsp;What will you do?<ul><li>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</li><li>This will also include designing, development, testing of product experiments.</li><li>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</li><li>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.&nbsp;</li><li>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi’s work.</li><li>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</li><li>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</li><li>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</li><li>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</li><li>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences – there are many opportunities for you to shine.</li></ul>

Inmobi Technology Services Pvt Ltd

Bigdata + GCP Engineer We're on the lookout for talented individuals to join our expanding tech team: Position: Bigdata + GCP EngineerExperience: 3.5 to 6.5 yearsSkills: Python, Pyspark, SQLMust-have: GCP If you fit the bill and are ready to dive into exciting opportunities, send your resume, and we're seeking immediate joiners only!

Tableau Developer We are looking for a skilled Tableau Developer to join our team. The ideal candidate will have hands-on experience in creating, maintaining, and optimizing dashboards, reports, and visualizations that enable data-driven decision-making across the organization. Key Responsibilities:<ul><li>Develop and maintain Tableau dashboards &amp; reports</li><li>Translate business needs into data visualizations</li><li>Work with SQL &amp; multiple data sources for insights</li><li>Optimize dashboards for performance &amp; usability</li><li>Collaborate with stakeholders for BI solutions</li></ul> <ul><li>Experience: 5+ Years</li><li>Notice Period: Immediate Joiners or 15 Days (Only immediate joiners &amp; candidates serving notice period)</li></ul> Share your updated resume now.

Deqode

Technical Business Analyst Mandatory Skills: SQL, Data Analysis, Business AnalysisExperience: 7–15 Years hare your resume only if you fall in experience range and an early joiner.

Coforge

Technical Analyst

Associate Lead Data Scientist - AI/ML JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI/ML Technical Lead We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 10–12 Years Job Type: Full-time Responsibilities:<ul><li>End-to-end delivery ownership of ML and GenAI use cases.</li><li>Architect RAG pipelines and build enterprise-scale GenAI accelerators.</li><li>Collaborate with architects and presales teams.</li><li>Ensure code modularity, testability, and governance.</li><li>Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions.</li><li>Provide guidance and mentorship to junior team members.</li><li>Manage project timelines, resources, and risk assessments.</li><li>Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions.</li><li>Stay updated with advancements in AI/ML technologies and best practices</li></ul> Required Skills:<ul><li>Strong background in AI/ML model development and deployment</li><li>Proficient in Python, R, and other AI-related programming languages.</li><li>Experience managing cross-functional teams in an Agile environment.</li><li>Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.).</li><li>LangChain, LangGraph, embedding techniques, prompt engineering.</li><li>Classical ML: XGBoost, Random Forest, time-series forecasting.</li></ul>  At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Mid Level

Yash Technologies Private Limited

Senior Software Automation Engineer

Data EngineerJob Description﻿﻿Years of Experience:5 to 8Years ﻿Duration: 3 Months and further extendable﻿Working shift timing: 7:30 am - 4:30 pm IST Selection Process: 2 rounds ﻿<ul><li>Experience in ETL tools, data warehouse design, data modeling, and visualization</li><li>Proficient knowledge of SQL and Relational Database: able to write, execute, and interpret queries</li><li>Hands-on experience with Python scripting for data analysis</li><li>Familiar with AWS stack, especially ETL/Data services such as Glue, Redshift, DMS</li><li>and workflow management platforms such as Airflow</li><li>Familiar with BI reporting tools such as PowerBI, Data Studio etc.</li></ul><h4>Experience Level</h4>Entry Level

Pradeepit Global Consulting Private Limited

Machine Learning Data Scientist About the Role Join our dynamic team to design, develop &amp; deploy ML models for Time Series/Deep Learning Predictive Modeling, Forecasting. Work with large datasets, optimize models for scale, and drive real-world impact. You’ll Work On: <ul><li>Predictive analytics, classification, Time Series/Deep Learning, Forecasting</li><li>Large-scale data wrangling &amp; model optimization</li><li>Cross-functional collaboration with Data Eng, Product &amp; Business</li><li>Staying ahead with the latest ML tools &amp; techniques</li></ul> You Bring: <ul><li>5 years in ML/Data Science</li><li>Python, SQL, Scikit-learn, TensorFlow/PyTorch</li><li>Time Series/Deep Learning Predictive Modeling, Forecasting</li><li>Strong stats &amp; model evaluation skills</li><li>Cloud Azure along with AWS &amp; GCP</li></ul> <ul><li>5-12 Years Experience</li><li>Immediate Joiners Only (Serving NP or &lt;15 Days)</li></ul> Share your updated resume now.

Advanced Analytics Senior Analyst - Fraud & Scams CoEOrganization: At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.Job Title: Senior Analyst Fraud &amp; Scams AnalyticsLocation:  BangaloreBusiness &amp; Team: The Fraud &amp; Scams Analytics teamImpact &amp; contribution:Fraud Analytics is responsible with defining and execution of robust fraud analytics procedures for the Group.Our team’s diverse backgrounds means we can draw on one another’s experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia’s largest real-time transaction monitoring system, handling millions of transactions per day.Roles &amp; Responsibilities:<ul><li>Develop data features for fraud and scam detection models.</li><li>Enhance scripts to improve feature and profile accuracy.</li><li>Collaborate with analytics staff.</li><li>Liaise with Data Scientists and rule writers on how features can be used to improve the overall fraud detection for the bank.</li><li>Use self-service tools to schedule and monitor written script.</li></ul>Essential Skills: <ul><li>6+ years of experience in Data Analytics. </li><li>Conduct thorough analysis on large datasets using sophisticated statistical and machine learning techniques. Employ tools such as Python, R, SQL, advanced Excel functions, and AI virtual assistants for data manipulation and predictive modelling</li><li>An analytical mindset with the ability to solve problems in creative ways</li><li>Ability to understand fraudster behavior and psychology </li><li>Develop, validate, and deploy predictive models and machine learning algorithms to forecast trends, identify opportunities, optimize operations, and mitigate risks.</li><li>Ability to collaborate effectively within the analytics community and stakeholders </li><li>Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.</li><li>An understanding of data engineering concepts would be beneficial.</li></ul>Education Qualifications: Bachelor’s or master’s degree in computer science, Engineering, Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 25/09/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

Senior Analyst

Senior Analyst, Workforce IntelligenceDate Posted:2025-04-14Country:IndiaLocation:1st Flr, Wing B, North Gate Phase-II, Modern Asset, Sy.No.2/2, Venkatala Village, Yelahanka Hobli, Bangalore – 560064, KarnatakaPosition Role Type:UnspecifiedRTX is looking for a Senior Analyst, Workforce Intelligence to join the Workforce Intelligence (WFI) team. WFI is chartered with delivering data-driven, integrated solutions that drive action to support our greatest asset: our people. You will work and collaborate with a team of diverse experts and build solutions that transform RTX, HR and its services. The Senior Analyst, Workforce Intelligence will be responsible for at least the following:<ul><li>Conduct recurring and ad hoc data analysis using workforce data &amp; report packages that identify, interpret, and communicate (graphically, quantitatively, and qualitatively) key trends and insights about the workforce in clean and concise deliverables</li><li>Recurring deliverables may include but are not limited to business reviews, other reports, and metric packages for senior leaders</li><li>Examples of ad hoc deliverables include examining workforce attributes, organization structures, functional and/or process metrics</li><li>Prepare supporting material and documentation for deliverables (inclusive of data and other reference sheets when creating a final package in PPT)</li><li>Develop, maintain, and advance existing workforce dashboards using Microsoft Power BI</li><li>Collaborate with stakeholders to develop and scale workforce dashboards for use across the enterprise</li><li>Participate in the peer review process by preparing and having deliverables reviewed; may provide peer review to others as needed where qualified</li><li>Support colleagues as needed, including ad hoc analysis, training and consultation to other partners</li><li>Other job-related duties as assigned </li></ul>Required Skills, Knowledge and Experience:<ul><li>4 to 6 years directly related experience with relevant Bachelors’ degree</li><li>Relevant experience using analytic, business intelligence, and/or data mining tools such as Alteryx, Power BI, and Qlik (role will heavily utilize Alteryx, Power BI) to manipulate, prepare, and visualize data</li><li>Ability to work in a fast-paced environment, collaborate across multiple time zones, effectively manage multiple simultaneous deliverables, and meet tight deadlines</li><li>Proven ability to synthesize complex information in a short timeframe</li><li>Moderate to advanced knowledge of Microsoft Excel (template &amp; forecast generation &amp; charts)</li><li>Moderate to advanced knowledge of Microsoft PowerPoint (slide master, branding, desktop publishing, object/shape manipulation and restraint)</li><li>Moderate to advanced knowledge of algebraic and statistical methods and concepts</li><li>Discretion and good judgement in preparing highly sensitive data and analysis, inclusive of preparing executive-ready material </li></ul>Desired Skills, Knowledge and Experience:<ul><li>Interest in research and a natural intellectual curiosity</li><li>Experience in human resources, talent acquisition, workforce planning, business analysis, industry research, management consulting, strategic planning, and/or quantitative analysis </li></ul>Security Clearance &amp; Other Requirements:<ul><li>This role will be primarily virtual</li><li>This role supports HR and business leaders primarily residing in the United States </li></ul>Required Education (including degree):<ul><li>Bachelor’s degree (relevant degrees may include Human Resources, Business, Finance, I-O Psychology, Mathematics),</li></ul>RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.   Privacy Policy and Terms:Click on this <a href="http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice" rel="noopener noreferrer" target="_blank">link</a> to read the Policy and Terms<h4>Experience Level</h4>Senior Level

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