• 8+ years of experience in AI/ML engineering, data science, or solution architecture.
• Strong knowledge of machine learning, deep learning, NLP, generative AI, and associated frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Solid understanding of MLOps, including MLflow, Kubeflow, Sagemaker, Vertex AI, or Azure ML.
• Expertise with cloud technologies (AWS, Azure, GCP) and modern data platforms (Databricks, Snowflake, BigQuery).
• Proficiency with programming languages such as Python, Node JS, and experience with API development (FastAPI, Flask, Node.js).
• Experience with data pipelines (Airflow, Spark, Kafka) and big data environments.
• Knowledge of microservices, containerization (Docker), and orchestration (Kubernetes).
• Strong understanding of architectural patterns and best practices (event-driven architecture, distributed systems, security frameworks).