Data Scientist
Actively Reviewing the ApplicationsCapgemini
India, Karnataka, Bengaluru
Internship
INR 1–4 LPA
Posted 1 week ago
•
Apply by April 27, 2026
Job Description
Job Description
Required Skills
Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
Job Description - Grade Specific
Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
Required Skills
- Experience in AI/ML, Applied Data Science, or related fields.
- Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
- Strong experience with Git, GitHub workflows, and collaborative development.
- Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
- Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
- Experience building AI Agents and Multi-Agent Systems.
- Strong understanding of software scalability, distributed systems, and enterprise patterns.
- Practical knowledge of Azure cloud services or other major cloud providers.
- Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
- Exposure to MLOps, CI/CD, monitoring tools, and production workflows.
- Experience with MCP (Model Context Protocol) for agent-based tooling.
- Databricks, Spark, Delta Lake, and enterprise data platforms.
- Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
- Experience with autonomous workflow tools like n8n, Airflow, or Temporal.
Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
Job Description - Grade Specific
Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
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