Position: Data Engineer - AWS AI

Location: Pune/Nagpur/Chennai/Bangalore

Type of Employment: Full-time

Purpose of the Position: 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 (Up-to-date 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

📌 Data Engineer - AWS AI (India)
🏢 InfoCepts
📍 India