Senior Machine Learning Engineer

Role Overview:

We are seeking a highly experienced Senior Machine Learning Engineer with a strong engineering foundation and deep expertise in building, deploying, and scaling Machine Learning and Generative AI solutions in production environments.

The ideal candidate will have 5+ years of experience across the complete ML lifecycle, from data acquisition and model development to MLOps, deployment, monitoring, and business impact measurement. The candidate should have demonstrated success in delivering commercial AI products and building production-grade AI applications leveraging modern LLMs and Generative AI frameworks.

Key Responsibilities:

Machine Learning & Data Science

Design, develop, and deploy end-to-end ML solutions at scale.

Build and optimize predictive models, recommendation systems, NLP solutions, and deep learning applications.

Drive the complete data science lifecycle:

Problem formulation

Data exploration

Feature engineering

Model training

Evaluation

Production deployment

Monitoring and retraining

Generative AI

Build enterprise-grade GenAI applications using:

OpenAI

Azure OpenAI

Anthropic Claude

Llama

Mistral

Gemini

Design and implement:

RAG architectures

Agentic AI systems

Multi-agent frameworks

Prompt engineering strategies

Fine-tuning pipelines

Key Responsibilities:

Design, build, deploy, and monitor production-grade ML solutions

Develop AI/ML applications using modern ML and GenAI frameworks

Build and optimize end-to-end ML pipelines

Collaborate with Product and Engineering teams to deliver business impact

Drive best practices in MLOps, model governance, and scalability

Preferred Skills:

Python, SQL, Spark

ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn)

LLMs, RAG, Agentic AI

Docker, Kubernetes, Cloud Platforms (AWS/Azure/GCP)

MLOps and model deployment

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting