This role is ideal for individuals who are passionate about applying their expertise in AI Engineering, Data Engineering, programming, data analysis, and problem-solving to real-world challenges.

As a key member of our engineering team, you will support clients on their AI journey by developing solutions that drive measurable business value.

This position plays a critical role in advancing Infocepts' strategic goals by delivering data-driven insights and enabling transformative AI/ML programs.

Key Result Areas and Activities :

Data & Cloud Engineering :

- Design and maintain high-performance ETL/ELT pipelines on AWS using PySpark, Python, SQL across EMR, Glue, Lambda, Step Functions, Redshift, and S3.

Applied AI - LLM, RAG, Agentic Workflows :

- Develop, fine-tune, and deploy LLMs (GPT-4 class, BERT, T5) for enterprise applications.

- Implement RAG using FAISS, Elasticsearch, LangChain, LlamaIndex, or similar frameworks for grounding, vector search, and knowledge retrieval.

AI Platform & Tooling (Modern Stack) :

- Work with emerging enterprise AI platforms including : Snowflake Cortex for secure LLM inferencing, embeddings, and feature pipelines; Databricks Lakehouse AI / Databricks Genie for model training, inference, and agentic workloads.

Architecture, Governance & Collaboration :

- Contribute to solution architecture, AI governance, data security, and model lifecycle frameworks.

Essential Skills :

- Expert-level skills in Python, PySpark, Scala and advanced SQL.

- Hands-on experience with AWS (EMR) services.

- Working experience with LLMs, RAG, vector databases, and transformer-based architectures.

- Solid understanding of distributed systems, data modeling, and data platform design.

Desirable Skills :

- Experience with Snowflake Cortex for secure enterprise LLM workloads.

- Experience with Databricks Genie / Lakehouse AI, Unity Catalog, Delta Live Tables.

- Good functional knowledge of Media & Entertainment domain.

- Knowledge of prompt engineering, safety guardrails, and agent tooling.

- Familiarity with feature stores, model registries, MLflow, or similar tooling.

- Knowledge of statistical methods, deep learning, NLP techniques.

Qualifications :

- 3+ years of experience across AI/ML and Data Engineering.

- Bachelors degree in computer science engineering, or related field (masters degree is a plus).

Qualities :

- Strong collaboration across cross-functional and cross-time-zone teams.

- Persuasive communicator with strong presentation and storytelling skills.

Location :

- Pune, Maharashtra, India

Years Of Exp :

- 3 to 7 years