People Prime Worldwide
Website:
people-prime.com
Job details:
About Client:
Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.
Job Title: Data Scientist
Location: Hyderabad
Experience: 5+ yrs
Job Type: Contract to hire(Min 1+ yr)
Notice Period: Immediate joiners
Job Description:
About the Role
We are looking for AI Enthusiasts—applied data scientists who thrive on learning, experimenting, and building the future of AI.
This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.
If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes—you will feel at home here.
Key Responsibilities:
- Explore and Build with LLMs
- Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).
- Try out new prompting patterns, fine-tuning methods, and retrieval strategies.
- Turn ideas into prototypes—quickly and creatively.
- Play, Learn, and Create with Orchestrator Frameworks
- Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.
- Build multi-step workflows, context managers, memory modules, and tool-based actions.
- Try different agent architectures and communication patterns.
- Design Multi-Agentic Systems
- Build agents that collaborate, debate, plan, and execute tasks autonomously.
- Experiment with A2A (Agent-to-Agent) interaction workflows.
- Convert experimental agents into enterprise-ready pipelines.
- Grow into Enterprise-Scale AI
- Learn how to scale your prototypes into real applications.
- Use Azure services—Azure OpenAI, App Service, Functions, AKS, ADLS—to deploy AI workloads.
- Work with Git, CI/CD, microservices, Docker, and cloud best practices.
- Constant Learning & Innovation
- Read research papers, follow AI trends, and test new libraries.
- Participate in internal hackathons and AI/GenAI forums.
- Regularly bring fresh ideas, PoCs, and innovative techniques to the team.
Required Skills
- 5–7 years of experience in data science / applied ML / AI engineering.
- Strong Python development background.
- Experience with Git/GitHub workflows.
- Practical exposure to LLMs, embeddings, and RAG pipelines.
- Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).
- Experience building AI Agents and/or multi-agent systems.
- Knowledge of cloud platforms (Azure preferred).
- Understanding of scalable and enterprise application development.
Good to Have :
- MCP (Model Context Protocol) experimentation.
- Databricks, Delta Lake, or Spark exposure.
- Contributions to open-source AI tools or repos.
- Automation experience with n8n or agent frameworks.
- Experience with structured + unstructured data pipelines.
Click on Apply to know more.