AI & Data Engineering Specialist

Position: AI/ML Engineer

Location: Pune/Nagpur

Type of Employment: FTE

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.
• AI Platform & Tooling (Modern Stack): -Work with emerging enterprise AI platforms including:
• Architecture, Governance & CollaborationContribute to solution architecture, AI governance, data security, and model lifecycle frameworks.

Essential Skills

• 5+ years of experience across AI/ML and Data Engineering.
• Expert-level skills in Python, PySpark, Scala and advanced SQL.
• Hands-on experience with AWS data and AI services.
• Working experience with LLMs, RAG, vector databases, and transformer-based architectures.
• Solid understanding of distributed systems, data modeling, and data platform design.
• Experience with modern AI frameworks such as LangChain, FAISS, or Elasticsearch.
• Experience with Productivity Improvement Tools like Github Copilot

Desirable Skills

• Good functional knowledge of Media & Entertainment domain
• Experience with Snowflake Cortex for secure enterprise LLM workloads.
• Experience with Databricks Genie / Lakehouse AI, Unity Catalog, Delta Live Tables.
• 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

• Bachelor’s degree in computer science engineering, or related field (master’s degree is a plus)
• Demonstrated continued learning through one or more technical certifications or related methods

Qualities

• Strong collaboration across cross-functional and cross-time-zone teams.
• Persuasive communicator with strong presentation and storytelling skills.
• Domain understanding to contextualize AI in real business processes.
• Iterative, feedback-driven, and committed to delivering high-impact results.