Description

•Strong experience in AI architecture, machine learning, and deep learning concepts.
•Hands on knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikit learn).
•Experience with GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, open source models).
•Expertise in MLOps tools and practices (CI/CD, model registries, monitoring).
•Experience with data platforms (Data Lakes, Snowflake, BigQuery, Databricks).
•Knowledge of API based AI integration, MCP, microservices, and event driven architectures.
Cloud & DevOps
•Strong experience with at least one major cloud platform: Azure, AWS, or GCP.
•Familiarity with containerization and orchestration (Docker, Kubernetes).
•Understanding of infrastructure as code and DevSecOps practices.
Experience
•8–12+ years of overall IT experience, with 3–5+ years in AI/ML solution or platform architecture roles.
•Proven experience delivering AI solutions into production at scale

Key Skills

Education

Bachelor's degree