Tech S and T-AI-ML senior-GDSN02

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Job Title : Senior Consultant – AI/ML Experience : 6–8 Years   Job Summary We are seeking a Senior Consultant with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and cloud-based AI platforms. The ideal candidate will have hands-on experience in AI/ML assessments, solution design, model development, and enterprise-scale AI transformation initiatives. The role requires a blend of consulting, solution architecture, and technical delivery capabilities to help clients adopt and operationalize AI-driven solutions.   Key Responsibilities

Lead and execute AI/ML assessments to evaluate current-state analytics, automation, and AI maturity across client organizations. Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption. Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies. Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures. Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks. Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria. Lead proof-of-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance. Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks. Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery. Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients.

Required Skills & Experience

6–8 years of overall IT experience with strong focus on AI, Machine Learning, Data Science, and Generative AI solutions. Proven, hands-on experience in: Machine Learning model development and deployment NLP, Deep Learning, and Generative AI solutions LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or equivalent RAG architectures, Vector Databases, Prompt Engineering, and AI Agents Python, ML frameworks (Scikit-Learn, TensorFlow, PyTorch) MLOps and AI deployment practices Strong experience in AI opportunity assessmen ts and AI adoption strategies. Demonstrated experience delivering AI transformation initiatives from ideation through production deployment. Experience building enterprise AI applications, copilots, intelligent assistants, and automation solutions. Good understanding of AI governance, Responsible AI, security, compliance, and model monitoring. Strong client-facing consulting skills with the ability to present recommendations and technical solutions. Excellent communication, presentation, and documentation skills.

Good to Have

Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture. Hands-on experience with Azure AI Foundry, Azure Machine Learning, Databricks, or equivalent AI platforms. Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or other agentic AI frameworks. Exposure to knowledge management, enterprise search, and intelligent document processing solutions.

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