Description

Technical Skills

• 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