applied ai researcher (optimization & domain models)

data analytics engineer - software engineer ii

data scientist / ai engineer / analytics engineer

(immediate joiner) mern/full stack developers

ai / ml engineer

applied ai researcher (optimization & domain models) Jobs in India

data analytics engineer - software engineer ii Jobs in India

data engineer

data scientist / ai engineer / analytics engineer Jobs in India

data scientist

Ujjivan Small Finance Bank

<div>
 <p>
  The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  </li>
  <li>
   Design accurate and scalable prediction algorithms
  </li>
  <li>
   Collaborate with engineering team to bring analytical prototypes to production
  </li>
  <li>
   Generate actionable insights for business improvements
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  Work closely with business teams to identify, define, collect and track key business metrics and inform strategic decisions.
 </p>
 <ol>
  <li>
   2+ years of experience Data Analytics
  </li>
 </ol>
 <p>
  2. Take initiatives and implement analytics projects which have scope of incremental revenue / reducing cost/increased operational efficiency.
 </p>
 <p>
  3. Tool and fetch data required to conduct business analysis, build and automate reports and dashboards to monitor business performance and generate business insights.
 </p>
 <p>
  4. Collaborate with business leaders for requirement gathering and presenting data insights.
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  1. Bachelor&rsquo;s in engineering, Mathematics Or Statistics from a reputed Institute
 </p>
 <p>
  2. Python/SAS/R with Basic Data modelling knowledge.
 </p>
 <p>
  3. Basic SQL with ability to fetch, Transform data from tables.
 </p>
 <p>
  4. Any Visualization tool experience(Tableau, PowerBi. .etc) is an added advantage.
 </p>
 <p>
  5. Knowledge on Statistical Modelling.
 </p>
 <p>
 </p>
</div>


Data Scientist

Great Learning

<div><div><p>Job Description</p>
<p></p><ul><li>Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome.</li><li>Develop data and AI-powered solutions &mdash; predictive models, automated pipelines, intelligence layers &mdash; that drive real outcomes and reduce the need for manual intervention.</li><li>Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.</li><li>Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders.</li></ul><br>
</div><p></p><div><p>Qualifications</p><br>
<div><br>
<ul><li>1+ years of applied experience working on analytics or data science projects</li><li>Advanced problem-solving capabilities, with a track record of navigating ambiguous questions to identify root causes rather than simply executing requested queries.</li><li>Strong Python and SQL, and solid data-management fundamentals.</li><li>Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on experience building AI-powered operational workflows.</li><li>Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy learning</li><li>The ability to work independently &mdash; you can take a problem, scope it, and run with it without being handed every step.</li></ul></div></div></div>

Data Scientist / AI Engineer / Analytics Engineer

Collabera

<p><b>Position Details:-</b></p><p><b>Experience: 6-9 Years</b></p><p><b>Work Location: Gurugram (Hybrid)</b></p><p><b>Mode: Full Time Permanent</b></p><p><b>Job Description:</b></p><p>We are hiring mid-to-senior level Agentic / Generative AI Engineers (6&ndash;9 years&rsquo; experience) to design and deliver production-grade LLM-powered and agentic systems. This role is ideal for engineers with a strong Data Engineering / Data Science foundation who have transitioned into hands-on GenAI delivery&mdash;building real-world solutions such as RAG based assistants, document intelligence platforms, and agent-driven workflows. You will collaborate across data, platform, and business teams to build secure, scalable, and measurable AI applications for enterprise use cases.</p><p><b>Key Responsibilities :</b></p><p> Design and develop LLM-powered applications using agentic patterns (single/multi agent) for business use cases</p><p> Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)</p><p> Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)</p><p> Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications</p><p> Integrate LLM solutions with enterprise systems, data platforms, and workflows  Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage</p><p> Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling</p><p> Contribute to reusable components, documentation, and engineering best practices</p><p><b>Experience &amp; Core Requirements (Must-Have) </b></p><p>Overall Experience<br/> 6&ndash;9 years total experience</p><p> 1&ndash;3+ years in hands-on GenAI / LLM application development (production use cases)</p><p><b>LLM / GenAI &amp; Agentic Engineering </b></p><p><b> Strong hands-on experience with: </b></p><p>o LLMs (Claude, OpenAI, etc.)</p><p>o RAG pipelines and retrieval optimisation</p><p>o GPT + Agentic AI implementation experience</p><p><b> Experience with: </b><br/>o LangChain, LangGraph, or similar frameworks<br/>o Agent orchestration and tool-calling architectures</p><p><b> Deep understanding of: </b><br/>LLM limitations, evaluation, and optimisation strategies</p><p>Pay: ₹2,000,000.00 - ₹3,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Senior AI Data Engineer

Target

<div><p>About the Role<br>
<br>
Join the <b>Data Analytics (DA)</b> team at <b>TII </b>across domains such as <b>Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance</b> and more<b>.</b> Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. You&rsquo;ll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems.<br>
This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques.<br>
<br>
Behind one of the world&rsquo;s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data &amp; Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We&rsquo;re also the source of the data and analytics behind Target&rsquo;s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.</p><p></p><p>
Key Responsibilities:<br>
 Demonstrate thought leadership in the application of data, analytics, and AI to<br>
influence merchandising strategy and outcomes<br>
 Independently translate ambiguous business problems into structured analytical<br>
approaches, including scenario, decision, and action modelling<br>
 Partner with Target business stakeholders to understand priorities and roadmaps,<br>
validate analytical requirements, and present insights and recommendations with<br>
clarity and impact<br>
 Design, develop, and deliver analytical and AI-driven solutions (including GenAI,<br>
Agent, and Agentic approaches) that enable decision support, forecasting,<br>
optimization, and automation<br>
 Apply advanced analytics techniques, including causal, predictive, and prescriptive<br>
analytics, to drive deeper understanding of business levers and inform optimal<br>
actions<br>
 Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and<br>
SQL-based data warehouses; build and maintain reliable data pipelines using Airflow<br>
or similar orchestration tools<br>
 Evaluate and monitor AI-driven analytical workflows, defining quality metrics (e.g.,<br>
accuracy, relevance), assessing reliability, and measuring tangible business impact<br>
 Synthesize complex analyses into compelling narratives; act as a strong storyteller<br>
who can influence executive and merchant audiences using data<br>
 Develop strong business acumen and cultivate trusted relationships with internal<br>
clients and partners<br>
 Create high-quality analytical and AI solution artifacts, documenting methodologies,<br>
assumptions, models, and decision logic<br>
 Contribute to knowledge-sharing systems that support reuse, iteration, and<br>
continuous improvement of analytical models and approaches<br>
 Ensure compliance with corporate data protection standards and embed responsible<br>
AI practices, including data privacy, bias mitigation, and explainability<br>
 Stay current with industry trends, emerging methodologies, and best practices in<br>
analytics, AI, and retail decision science</p></div><p></p>

Lead Data Analyst

Hitachi Energy

<div><p><b>Location:
</b></p>Chennai, Tamil Nadu, India
<p></p><p><b>Job ID:
</b></p>R0124753
<p></p><p><b>Date Posted:
</b></p>2026-07-01
<p></p><p><b>Company Name:
</b></p>HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED
<p></p><p><b>Profession (Job Category):
</b></p>Engineering &amp; Science
<p></p><p><b>Job Schedule:
</b></p>Full time
<p></p><p><b>Remote:
</b></p>No
<p></p><p><b>Job Description:
</b></p><p><b>Your Responsibilities:
</b></p><ul><li>Display technical expertise in data analytics focusing on a team of diversified technical competencies.
</li><li>Build and maintain accurate and scalable data pipeline and infrastructure such as SQL Warehouse, Data Lakes, etc. using Cloud platforms (e.g.: MS Azure, Databricks).
</li><li>Proactively work with business stakeholders to understand data lineage, definitions, and methods of data extraction.
</li><li>Write production-grade SQL and PySpark code to create data architecture.
</li><li>Consolidate SQL databases from multiple sources, data cleaning, and manipulation in preparation for analytics and machine learning.
</li><li>Use data visualization tools such as Power BI to create professional quality dashboards and reports.
</li><li>Write good quality documentation for data processing for different projects to ensure reproducibility.
</li><li>Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
</li></ul><p><b>Your Background:
</b></p><ul><li>BE / B.Tech in Computer Science, Data Science, or related discipline and at least 5 years of related working experience.
</li><li>5 years of data engineering experience, with understanding lake house architecture, data integration framework, ETL/ELT pipeline, orchestration/monitoring, star schema data modeling.
</li><li>5 years of experience with Python/PySpark and SQL(Proficient in PySpark, Python, and Spark SQL)
<ul><li>2-3 years of hands-on data engineering experience using Databricks as the main tool (meaning &gt;60% of their time is using Databricks instead of just occasionally).
</li><li>2-3 years of hands-on experience with different Databricks components (DLT, workflow, Unity catalog, SQL warehouse, CI/CD) in addition to using notebooks.
</li></ul></li><li>Experience in Microsoft Power BI.
</li></ul><p><b>Additional Insights:
</b></p><ul><li>Basic understanding of Machine Learning algorithms.
</li><li><b>Enhanced Data Processing </b>: AI/ML can automate and improve data processing tasks, making them more efficient and accurate.
</li><li><b>Predictive Analytics </b>: Integrating AI/ML can help in building predictive models that can forecast trends and outcomes, providing valuable insights for decision-making.
</li><li><b>Personalization </b>: AI/ML can be used to create personalized experiences for users by analyzing their behavior and preferences.
</li><li><b>Automation </b>: AI/ML can automate repetitive tasks, freeing up time for more complex and creative work.
</li><li>Ability to quickly grasp concepts from a field that is not one's core competency; A fast learning generalist capable of solving problems independently and resourceful in a matrixed corporate environment.
</li><li>Proficiency in both spoken &amp; written English language is required.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a </b><b>general inquiry form </b><b>on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
</b></h2><p></p><h2 class="jobSectionHeader"><b>This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</b></h2></div><p></p>

Data Engineer

Infosys

<div>
 <ul>
  <li>
   Primary skills:Domain-&gt;Turbomachinery-&gt;Steam Turbine-&gt;Rotor
   <br/>
   <br/>
  </li>
 </ul>
 Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain data pipelines for training and inference Work on supervised and unsupervised learning algorithms Implement NLP, Computer Vision, or Deep Learning solutions Optimize models for performance, scalability, and accuracy Collaborate with data engineers, analysts, and product teams Deploy models using cloud platforms (AWS/Azure/GCP) Monitor model performance and perform continuous improvements Conduct data preprocessing, feature engineering, and model evaluation Document models, processes, and experiments Required Skills &amp; Qualifications Technical Skills Strong proficiency in Python Experience with Machine Learning libraries: Scikit-learn TensorFlow / PyTorch Knowledge of data manipulation tools (Pandas, NumPy) Experience with ML algorithms (regression, classification, clustering) Familiarity with Deep Learning frameworks Knowledge of NLP or Computer Vision techniques Experience in model deployment (APIs, microservices) Strong understanding of statistics and probability
 <br/>
 <br/>
 Preferred Skills (Nice-to-Have) Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face) Knowledge of MLOps tools (MLflow, Kubeflow, Airflow) Experience with Docker and Kubernetes Familiarity with Big Data tools (Spark, PySpark) Experience with REST APIs and microservices architecture Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI) Understanding of vector databases and embeddings (FAISS, Pinecone) Exposure to CI/CD pipelines and DevOps practices
</div>


AI Engineers

Deloitte

<p></p><div><div><div><div><div><div><div><div><p><b>Data Analytics Engineer </b><b>&ndash; </b><b>Software Engineer II</b></p><p><b>
Role Overview</b><b>:</b> We are seeking a proactive and solutions-oriented <b>Data Analyst</b> with 2.5&ndash;4 years of hands-on experience in data analytics and applied AI/ML techniques. In this role, you will leverage your strong technical foundation and business acumen to transform complex datasets into meaningful insights that guide decision-making and strategy. You will demonstrate expertise in modern data analytics tools (such as Python, SQL) and show enthusiasm for learning next-generation analytics platforms like Adobe Customer Journey Analytics (CJA). The ideal candidate is passionate about turning data into value, comfortable collaborating across diverse teams, and committed to staying at the forefront of emerging analytics and AI trends. You excel at translating business needs into actionable analysis, communicating findings effectively to technical and non-technical audiences, and driving measurable outcomes through data.</p><p></p><p><b>
Work you will do</b></p><ul><li>
Conduct data analysis and prepare reports to support business decision-making using statistical and machine learning techniques.
</li><li>Utilize Python and/or R, along with AI-powered coding tools such as Cursor AI or GitHub Copilot, to accelerate scripting and enhance analytics workflows.
</li><li>Extract, clean, and transform data from various sources&mdash;applying SQL and data wrangling skills to ensure data quality and readiness for analysis.
</li><li>Collaborate with team members to understand data requirements, ensure alignment to business objectives, and contribute to project deliverables.
</li><li>Participate in requirements gathering and solution workshops with stakeholders and senior analysts.
</li><li>Communicate analytical findings clearly to both technical and non-technical audiences via presentations, dashboards, or written summaries.
</li><li>Demonstrate curiosity and initiative by proactively learning new tools and technologies, such as Adobe Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), and similar digital analytics solutions.
</li><li>Support ongoing enhancements to analytics processes, documentation, and team best practices.
</li><li><ul><li>oriented team culture by sharing knowledge and supporting others.</li></ul></li></ul><p></p><p><b>
Key Responsibilities</b><b>:</b></p><p><b>
Outcome-Driven Accountability: </b>Aligns with: Delivering business outcomes, transforming business needs into analytical solutions, upholding quality in analytics and code as stated in your technical and professional skills.</p><p><b>
Technical Leadership and Advocacy: </b>Aligns with: Supporting technical best practices, code integrity, and active participation in key SDLC phases (requirement analysis, development, testing) in Python/R, SQL, and relevant analytics tasks. Collaboration with senior team members aligns well with the CL3 role.</p><p><b>
Engineering Craftsmanship: </b>Aligns with: Clean code, adherence to standards, data wrangling, preparing documentation, and commitment to best practices. Directly supports your expectations for &ldquo;Programming,&rdquo; &ldquo;Data Wrangling,&rdquo; and &ldquo;AI Coding Assistants&rdquo; skills, and continuous learning.</p><p><b>
Customer-Centric Engineering: </b>Aligns with: Focus on delivering what stakeholders need, rapid prototyping, experimentation, and direct engagement with business/product teams, reflecting &ldquo;Analytical Thinking&rdquo; and &ldquo;Ability to transform business needs into analytical solutions&rdquo;.</p><p><b>
Incremental and Iterative Delivery: </b>Aligns with: Agile methodologies, growth mindset, and continuous improvement. Supports &ldquo;Commitment to continuously improving analytics workflows&rdquo; and your requirement for contributing to maintainable, supportable solutions.</p><p><b>
Cross-Functional Collaboration and Integration: </b>Aligns with: Collaboration, working with diverse teams, and integrating multiple perspectives. Matches &ldquo;Collaboration,&rdquo; &ldquo;Communication,&rdquo; and &ldquo;Working across functions and with diverse teams.&rdquo;</p><p><b>
Advanced Technical Proficiency: </b>Aligns with: Python/R for analytics and ML, SQL, AI coding assistants, adopting new analytics tools like Adobe CJA, and embracing SDLC and Agile practices. Encourages continuous technical improvement per your &ldquo;Willingness to learn&rdquo; and &ldquo;Technical Skills&rdquo; requirements.</p><p><b>
Domain Expertise: </b>Aligns with: Quickly acquiring business-relevant knowledge, understanding data designs, and supporting business use cases with technical solutions. Supports &ldquo;Domain knowledge,&rdquo; &ldquo;Transform business needs into analytical solutions,&rdquo; and related technical skills.</p><p><b>
Effective Communication and Influence: </b>Aligns with: Excellent communication skills, presenting complex ideas to varying audiences (technical/non-technical), and contributing to team and stakeholder discussions.</p><p><b>
Engagement and Collaborative Co-Creation: </b>Aligns with: Building strong team and stakeholder relationships, collaborative mindset, and co-creation of value-driven analytics/workflows&mdash;underpinning &ldquo;Collaboration,&rdquo; &ldquo;Participation in hackathons,&rdquo; and your supportive team culture.</p><p></p><p><b>
The team</b><b>:</b> US Deloitte Technology Product Engineering drives Deloitte&rsquo;s success by delivering innovative analytics and data science solutions through a modern, scalable, and value-focused delivery model. As the firm&rsquo;s premier internal development team, we empower business units and internal operations to make smarter, data-driven decisions by transforming complex business needs into actionable insights and robust digital products. Leveraging advanced analytics tools, machine learning, and a responsive talent structure, our team consistently delivers measurable outcomes that enhance Deloitte&rsquo;s efficiency, effectiveness, and market leadership&mdash;upholding our tradition of excellence and commitment to impactful results.</p><p></p><p><b>
Key Qualifications</b><b>:</b></p><ul><li>
2.5&ndash;4 years of professional experience in data analytics or data science
</li><li>Proficiency in Microsoft Fabric and SAC</li><li>
Proficiency in Python and/or R for analytics and machine learning
</li><li>Strong SQL skills for data querying and transformation
</li><li>Hands-on experience with AI-powered coding tools (e.g., Cursor AI, GitHub Copilot)
</li><li>Excellent communication and collaboration skills
</li><li>Ability to transform business needs into analytical solutions</li></ul><p></p><p><b>
Good to have skills:
</b></p><div><ul><li>Experience with cloud analytics (AWS, Azure, GCP)</li></ul>
</div><p>2. Knowledge on BI tools like Tableau, SAP BOE is preferred</p><div>
<ul><li>Exposure to unstructured data or MLOps</li></ul>
<ul><li>Participation in analytics competitions, hackathons, or holding relevant certifications</li></ul>
<ul><li>Domain knowledge in a relevant business vertical</li></ul>
</div><p></p><p><b>How You will Grow:</b></p><ul><li>
Opportunity to work on impactful analytics projects</li><li>
Support for ongoing professional development and learning new technologies</li><li>
Collaborative environment with experts across analytics and business domains</li></ul></div><br>
<p></p>
</div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 357466</p></div></div></div></div>

Data Analytics Engineer - Software Engineer II

Explore 51+ Data scientist in India this July. Find roles across top companies and apply now to boost your career.