Description

Minimum 10+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications.

Strong hands‑on programming experience (Python required) with the ability to design and implement production‑ready solutions (experience in JS/NodeJS or .NET/C# is a plus)

Architecture and system‑design experience, with a proven track record of translating designs into working code (must still code 50–70% of the time)

Practical experience implementing AI/ML solutions end‑to‑end, including data preparation, model usage, and integration into applications (using frameworks like Scikit‑Learn, TensorFlow, or PyTorch)

Experience designing and building scalable ML/AI systems using APIs, microservices, and event‑driven patterns — with direct hands‑on implementation responsibility

Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems

Cloud‑native experience (Azure/AWS) with hands‑on deployment, debugging, and performance tuning of AI workloads

Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness

Individual contributor role — no people management; must personally design, code, debug, and support solutions

Key Skills

Education

Bachelor's degree