Description

Must Have Technical/Functional Skills

•       Strong expertise in AI/ML concepts including supervised, unsupervised, deep learning, NLP, and generative AI.

•       Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.

•       Proficiency in programming languages like Python, R, or Java.

•       Experience in designing end-to-end AI solutions including model development, validation, deployment, and monitoring.

•       Knowledge of cloud platforms (Azure, AWS, GCP) with AI/ML services (e.g., Azure AI, SageMaker, Vertex AI).

•       Experience with MLOps practices, CI/CD pipelines, model versioning, and lifecycle management.

•       Strong understanding of data engineering concepts (ETL pipelines, big data technologies like Spark, Hadoop).

•       Familiarity with APIs, microservices architecture, and integration of AI models into enterprise systems.

•       Knowledge of data governance, security, and compliance in AI solutions.

•       Experience with BI and visualization tools (Power BI, Tableau) for AI insights.

•       Exposure to domain-specific AI applications (publishing, retail, finance, etc.) is a plus.

•       Experience in agentic development design and platform knowledge

Key Skills

Education

Bachelor's or Master's degrees