Description

You will design, build, and deploy production-ready AI/ML applications, coding 50–70% of the time. You own the end-to-end implementation from data preparation to model integration and system deployment.

This role is on-site.

Responsibilities

• Design and implement scalable AI/ML systems using APIs, microservices, and event-driven patterns.
• Develop production-ready solutions in Python, handling structured and unstructured data with Pandas/NumPy.
• Deploy and tune AI workloads on cloud platforms (Azure/AWS) using DevOps practices like CI/CD, Git, logging, and monitoring.
• Translate system designs into working code, ensuring robust performance and debugging in live environments.

Required Skills

• 10+ years of experience in designing and developing AI/ML applications.
• Strong hands-on programming in Python; experience with JS/NodeJS or .NET/C# is a plus.
• Practical experience with ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
• Proven track record in architecture and system design with direct hands-on implementation.
• Cloud-native experience with Azure or AWS for deployment and performance tuning.
• Solid software engineering and DevOps practices including CI/CD pipelines and production readiness.

Preferred Skills

• Experience with event-driven architectures and microservices.
• Background in data preparation and integration into broader applications.

Key Skills

Education

Bachelor's degree