Verified Job
IT / Software / Data Analyst
Data Engineer- AWS AI
IT / Software / Data Analyst
#16485
Remote / WFH
InfoCepts
Job Description
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 (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
Bachelors degree in computer science engineering, or related field (masters degree is a plus)
3+ years of experience across AI/ML and Data Engineering.
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
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 (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
Bachelors degree in computer science engineering, or related field (masters degree is a plus)
3+ years of experience across AI/ML and Data Engineering.
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
