AI/ML Engineer

IDEAL CANDIDATE PROFILE & PREFERENCES

Domain: Finance, banking, or investment sector

· Local candidates only (Must reside in Tamil Nadu).

Must-have Skills:

· Local candidates only

· Finance, banking, or investment sector domain preferred.

· Exceptional Communication skills required.

· 5+ years of professional experience in machine learning, deep learning, or applied AI engineering.

· Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

· Hands-on experience working with LLMs (OpenAI, Anthropic, open-source models) via APIs or self-hosted deployment.

· Practical experience with RAG architectures, embeddings, and vector databases (e.g., Pinecone, Weaviate, FAISS, pgvector).

· Solid understanding of the ML lifecycle: data preprocessing, feature engineering, training, evaluation, and deployment.

· Experience deploying models as REST/GraphQL services using frameworks such as FastAPI or Flask.

· Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).

· Working knowledge of containerization and orchestration (Docker, Kubernetes) for model deployment.

· Experience with MLOps tooling such as MLflow, Weights & Biases, or similar for experiment tracking.

· Strong understanding of prompt engineering, fine-tuning, and model evaluation techniques.

· Proficiency with Git-based version control and collaborative development workflows.

· Strong analytical and problem-solving skills, with the ability to work…

Skills

• Machine Learning
• LLMs
• Deep Learning
• Python
• PyTorch