AI ML Engineer (Senior)
Weekday AI (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 80โ100 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and deploy scalable end-to-end machine learning workflows including data ingestion to inference.
- Develop and fine-tune agentic AI models that adapt autonomously, integrated via cloud-native microservices and APIs.
- Lead technical mentoring, model governance, continuous optimization, and collaborate cross-functionally to meet SLAs in a production environment.
Minimum Requirements
- 10+ years experience in machine learning and data science with production deployment track record.
- Proficiency in cloud platforms (AWS, Azure, GCP) and Kubernetes container orchestration.
- Strong coding skills in Python, Java, or Go with knowledge of frameworks like TensorFlow, PyTorch, or JAX.
- Work Experience Required: 10+ years
Ideal Candidate Profile
- Deep expertise in agentic AI solutions utilizing reinforcement learning, NLP, or multimodal models.
- Experience building and integrating RESTful and gRPC APIs in enterprise platforms including data lakes and event-driven architectures.
- Background in leading teams with code reviews, mentoring, and driving technical excellence in high-impact, fast-moving environments.