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

Roles & Responsibilities

•       Define and design AI-driven solution architectures aligned with business objectives.

•       Collaborate with stakeholders to translate business requirements into AI use cases and technical solutions.

•       Lead end-to-end AI solution development, from data ingestion to model deployment.

•       Design scalable and robust AI/ML pipelines and architectures.

•       Provide technical leadership and guidance to data scientists, engineers, and developers.

•       Evaluate and recommend appropriate tools, platforms, and frameworks for AI implementation.

•       Ensure best practices in MLOps, including model monitoring, retraining, and performance optimization.

•       Identify and mitigate risks associated with AI models, including bias, drift, and scalability issues.

•       Work closely with cross-functional teams to ensure seamless integration with enterprise applications.

•       Drive innovation and continuous improvement by staying updated with latest AI trends and technologies.

•       Support pre-sales, solutioning, and proposal development where required.

•       Generic Managerial Skills, If any

•       Strong stakeholder management and communication skills.

•       Ability to lead cross-functional teams and drive collaboration.

•       Excellent problem-solving and decision-making abilities.

•       Experience in project planning, estimation, and delivery management.

•       Strong analytical thinking and strategic mindset.

•       Ability to mentor and coach team members.

•       Effective risk management and escalation handling

Key Skills

Education

Bachelor's degree