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

Work arrangement
No