Job Description.

- Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
- Run proof-of-concepts (PoCs) to test feasibility of recent ideas.
- Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
- Create scalable AI pipelines that can be integrated into existing systems.
- Collaborate with data, engineering, and software development teams.

Minimum Yrs of Experience, Skills, and Qualifications

- Possesses raw knowledge and skillset through coursework with some hands on
- work experience in the following areas:
- Strong Python, familiarity with Java / C++ / Go for production environments
- Object-oriented programming & design patterns
- Unit testing, CI/CD, Git, containerization (Docker)
- Data pipelines (Airflow, Prefect, or cloud-native equivalents)
- Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
- AWS / Azure / Google Cloud Platform / OCI AI services
- Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML)
- Kubernetes for scalable inference

Pay: ₹2,000,000.00 - ₹4,000,000.00 per year

Work Location: Remote

📌 ML Engineer (India)
🏢 Expertshub.ai
📍 India