AI ML Engineer

Job Profile:

An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI)

Knowledge of Computer vision related projects.

LLM Expertise:

• Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks.
• Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
• Structured prompt templates
• Refinement (prompt chaining, decomposition, and verification strategies)
• Safety, Guardrails & Compliance
• Experience building conversational flows (chatbots).

Retrieval-Augmented Generation (RAG) :

• Work with embedding models, vector databases, context windows, and chunking strategies
• Work experience in Vector database (FAISS, Milvus, Pinecone or any)

Machine Learning:

• Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems. 
• Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks. 
• Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.

Software Engineering:

• Python proficiency.
• Very good understanding and work experience with REST APIs, JSON, YAML.
• Ability to integrate LLM prompts into production applications.
• Familiarity with Git, version control, and experiment tracking.