Senior ML Engineer

Responsibilities

• check_circle Support data ingestion, dataset management, model training, and inference workflows
• check_circle Design and implement MLOps infrastructure for traditional ML and large language models (LLMs)
• check_circle Develop and maintain scalable ML systems and pipelines
• check_circle Collaborate with cross-functional teams to deploy and monitor ML models in production

Basic qualifications

• Expert in Python + strong coding skills
• Working knowledge of PyTorch
• 5+ years of ML engineering experience
• Experience with AWS cloud services
• Experience developing ML infrastructure and pipelines
• Strong hands-on experience with Kubernetes for ML workloads
• Experience deploying and managing containerized ML applications in production
• Bachelor’s/Master’s degree in Computer Science/ Engineering or a related field.
• Hands-on experience with LLMs and generative AI
• Experience with other Big Data processing technologies
• CI/CD experience for ML workflows
• Experience with model versioning and experiment tracking tools
• Experience with Ray for ML training or inference
• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

About the company