Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services.
This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
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Your Role
As a Senior Lead Analyst, you will:
• Anchor the engagement effort from business process consulting and problem definition to solution design, development, and deployment.
• Lead the discovery and definition of AI/ML solutions and guide teams on project processes and deliverables.
• Act as a thought leader in your domain, advising on architecture and design reviews.
• Drive business pursuit initiatives, client training, and in-house capability building.
• Shape value-adding consulting solutions that help clients meet evolving business needs.
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Responsibilities
• Develop the core Python Programs using oops Concepts.
• Design and develop scalable AI/ML solutions using Python and cloud platforms.
• Lead the implementation of Generative AI models, LLMs, and agentic frameworks.
• Collaborate with stakeholders to define problem statements and solution approaches.
• Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines.
• Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines.
• Ensure high-quality delivery and adherence to best practices in AI/ML engineering.
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Required
• Minimum 7 years of experience in Information Technology.
• Miming 2+ years of strong experience in Gen AI, Agentic AI
• Minimum 5+ years of ML, data Science,
• Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development.
• Minimum 5 years in Big Data technologies (e.g.,, Hadoop).
• Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Minimum 5 years in ML model development, data engineering, and software engineering.
• Minimum 3 years in MLOps and AI/ML deployment.
• Minimum **2 years in Generative AI, LLMs, and agentic frameworks.
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Preferred
• Experience with API Gateway development and deployment on Azure/GCP.
• Hands-on experience with vector databases and RAG pipelines.
• Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
• Strong problem-solving and stakeholder management skills.
• Domain expertise in Banking, Finance, or Capital Markets.
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Personal Attributes
• High analytical skills
• Strong initiative and flexibility
• High customer orientation
• Strong quality awareness
• Excellent verbal and written communication skills
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