About this role
As a ML Engineer, you will be part of a high performing team working on exciting opportunities in AI/ML. We are looking for a highly skilled, technical, hands-on ML engineer with a solid background in building end-to-end AI/ML applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AI/ML. The candidate should also be proficient with AI literacy including Gen AI.
- Bachelor’s degree in computer science or related field.
- 5+ years of relevant work experience in solution, application, and ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations.
- Very strong with programming in Python.
- 5+ years of hands-on experience in Analytics, MLOps and Engineering Solutions for ML based models.
- Knowledge of enterprise frameworks and technologies.
- Strong in engineering design patterns, experience with secure interoperability standards and methods, engineering tools and processes.
- Strong in containerization using Docker/Podman.
- Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.
- Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc.
- Understanding of microservices architecture.
- Strong leadership, communication, interpersonal, organizing, and problem-solving skills.
- Strong in AI Engineering
- The candidate needs to possess necessary Cloud experience (necessary) - preferably in GCP.
- Demonstrated industry experience in developing end to end production grade AI/ML systems in both Traditional ML and Generative AI.
- Proficiency in Agentic AI frameworks.