AI / ML Engineer

About Us

Innodata is a global leader in digital transformation, Our AI-driven platforms and expert teams empower clients in healthcare, life insurance, and other industries to identify risks, improve efficiency, and make smarter decisions. By combining proprietary technology with deep domain expertise, we help businesses unlock the full potential of their data.

About the Role

We’re seeking a passionate AI / ML Engineer with deep expertise in Large Language Models (LLMs) to help design, fine-tune, and deploy domain-specific AI systems. You’ll work across the ML lifecycle—from data preparation and model adaptation to scalable deployment—building cutting-edge solutions that drive impact in high-stakes, regulated environments.

Key Responsibilities

Fine-tune and adapt LLMs (e.g., Llama, Mistral, Gemma) using LoRA / QLoRA and related methods.

Prepare and structure complex medical and clinical data for AI training.

Develop scalable ML pipelines using Docker, Kubernetes, and CI / CD.

Evaluate and benchmark open-source models and new architectures.

Monitor model performance and ensure ethical, explainable AI.

What We’re Looking For

Degree in Computer Science, Data Science, or related field.

3+ years of experience

Proven experience in ML development and deployment.

Strong Python + PyTorch / TensorFlow skills.

Hands-on experience with LLM frameworks (Hugging Face, DeepSpeed, vLLM).

Familiarity with RAG, LangChain, and vector databases.

Cloud experience (Oracle Cloud Infrastructure a plus).