AI/ML Engineer

We are seeking an AI/ML Engineer to design, develop, train, and deploy production-grade ML and GenAI models across use cases, leveraging frameworks such as TensorFlow, Keras, PyTorch, and LangChain. The successful candidate will work across global teams to build scalable deep learning and LLM-based solutions, integrating with APIs and external systems, and collaborating with data engineers to access and transform large-scale datasets.

Requirements

• Design, develop, train, and deploy production-grade ML and GenAI models
• Leverage frameworks such as TensorFlow, Keras, PyTorch, and LangChain
• Develop and maintain end-to-end ML pipelines with reusable, modular components
• Implement and manage models on cloud platforms such as AWS, GCP, or Azure
• Apply MLOps best practices using tools like MLflow, Kubeflow, Weights & Biases, Airflow, DVC, and Prefect
• Incorporate CI/CD pipelines to automate testing, packaging, and deployment of ML workloads
• Containerize applications using Docker and orchestrate scalable deployments via Kubernetes
• Collaborate closely with data engineers to access, prepare, and transform large-scale datasets
• Build monitoring and retraining workflows to ensure models remain performant and robust in production
• Evaluate and integrate third-party GenAI APIs or foundational models to accelerate delivery
• Maintain rigorous experiment tracking, hyper parameter tuning, and model versioning

Benefits

• Competitive salary
• Opportunities for growth and professional development
• Collaborative and dynamic work environment