Hiring Alert: Sr AIML Engineer

Location: Bangalore, India (Hybrid 3 Days)

Type: Full-Time Employment

Experience: 4+Years

Fine-tune and train LLMs, SLMs and VLMs using frameworks like Hugging Face, PyTorch, or TensorFlow

Hands-on with Data Engineering & MLOps, LLMs, embeddings, transformers, and vector databases.

Hands-on with LLMs, embeddings, transformers, and vector databases.

Logical thinking and hands-on projects with realtime problem statements

Python Fast API Hands-on

Experience with prompt tuning, prompt chaining, and agent-based design patterns, Scikit-learn, Pandas, PyTorch/TensorFlow. Yes, Agents

Strong command of any cloud matching AWS AI/ML stack (SageMaker, Bedrock, Lambda, etc) Yes, Has limited exposure to AWS

Knowledge of LLM evaluation techniques and prompt guardrails

Containerization (Docker) and workflow orchestration tools (Airflow, Step Functions).

Artificial Intelligence Engineer