Artificial Intelligence Engineer

Job Title : AI / ML Engineer (with Python & LLM Ops focus)

Location : [Pan India-Remote]

Experience : 2–4 years

Core Responsibilities

Develop and optimize data pipelines using Python, Pandas, and Scikit-learn .

Support prompt engineering initiatives for LLM-based applications.

Conduct model evaluation and testing , ensuring accuracy, reliability, and performance.

Work with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval.

Secondary Responsibilities

Assist in fine-tuning small and domain-specific models for production use.

Write automation scripts for data preparation, cleaning, and feature engineering.

Collaborate with product and engineering teams to enable API integrations for ML services.

Must-Have Skills

Strong programming skills in Python with hands-on experience in Pandas and Scikit-learn .

Basic knowledge of prompt engineering for LLMs.

Understanding of model evaluation metrics and testing techniques .

Exposure to Vector Databases (Pinecone, FAISS, or similar).

Good-to-Have Skills

Experience with fine-tuning smaller ML or LLM models .

Familiarity with REST APIs / GraphQL and integrating ML models into production workflows.

Knowledge of data preprocessing pipelines and automation scripts.

Soft Skills

Strong problem-solving and analytical mindset.

Ability to work in a collaborative environment with cross-functional teams.

Curiosity to explore and learn new AI / ML tools and frameworks.