Applied AI/ML Engineer

Job Description :

Only Tier-1 college candidates preferred.

Key Responsibilities :

- Understand customer requirements and translate them into AI/ML use cases.

- Design end-to-end system architectures for AI/ML solutions.

- Build and prototype AI/ML applications using LLMs, RAG, agents, or traditional ML.

- Work with customers and engineering teams to deliver tangible outcomes.

- Evaluate models and approaches based on accuracy, performance, cost, and feasibility.

- Create technical documentation, architecture diagrams, and solution designs.

- Stay hands-on with emerging AI/ML technologies.

Requirements :

- Strong Python and AI/ML fundamentals.

- Good understanding of LLMs, RAG, embeddings, agents, and model evaluation.

- Understanding of software architecture, APIs, databases, and deployment.

- Strong problem-solving and communication skills.

- Ability to quickly prototype a working solution to production deployment.

- Ability to learn quickly and work on ambiguous, real-world problems.

Candidate must be from a Tier-1 college only.

Skills

Artificial Intelligence, Machine Learning, LLM, RAG, Python, Agentic AI