AI/Machine Learning Subject Matter Expert III

Job Description:

The person MUST be strong on GENAI implementation in PROD and not just having experience doing POC.

Key Responsibilities:

• Develop and design scalable and efficient GenAI solutions tailored to our requirements.

• Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant.

• Work closely with cross-functional teams, including engineers and product managers, to integrate AI solutions into existing systems.

• Stay up-to-date with the latest advancements in AI and apply this knowledge to drive innovation within the company.

• Create comprehensive documentation for AI solutions, including design specifications, implementation guides, and user manuals.

• Provide training and mentorship to junior team members and clients on GenAI technologies and best practices.

• Possess a deep understanding of cloud systems and various services available in cloud systems.

• Experience working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, MLOps/GenAIOps.

• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.

• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.

• Employ technical knowledge and hands-on experience with Anthropic Claude, Llama models, and other AWS LLM foundational models, BERT, Transformers, etc.

• Have problem-solving abilities combined with good communication skills.

• Deploy knowledge of AWS DevOps, YAML, Shell scripting, Terraform, and pipelines.

• Understand how to fine-tune models, quantize models, and deploy models.

• Design integrations between various cloud-based services through APIs, keeping modular designs in mind.

• Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines.

• Scope, manage, and drive complex GenAI projects and programs to successful completion.

• Design and implement GenAI frameworks and patterns tailored to specific needs.

• Architect and lead the implementation of GenAI use cases, projects, and POCs.

• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks.

• Utilize best practices and creativity to address challenges and deliver impactful solutions.

• Conduct market research, formulate perspectives, and communicate insights to stakeholders.

• Establish strong client relationships, gaining insights into project requirements and challenges.

• Communicate complex technical concepts clearly to non-technical audiences.

• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.

• Apply business acumen to analyze data, develop insightful reports, and solve problems.

• Perform ad hoc analyses based on evolving business needs.

• Participate in the analysis and resolution of issues related to information flow and data content.

• Collaborate with data stakeholders to address challenges and enhance data quality.

• Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.

• Conduct training sessions to enhance overall skills within the organization.

Basic Qualifications:

• Minimum of 5 years of experience in AI/ML, with a focus on generative models.

• Proven track record of successfully implementing GenAI projects in real-world settings.

• Experience in managing the end-to-end lifecycle of GenAI projects, from conception to deployment.

• Proficiency in programming languages such as Python and other AI frameworks.

• Strong analytical and problem-solving skills, with the ability to think critically and creatively.

• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• Proven leadership abilities, with experience managing and mentoring technical teams.

• Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements.

• Experience with cloud platforms such as AWS.

• Experience in optimizing vector queries.

• Proficiency in SQL.

• Familiarity with natural language processing (NLP) concepts.

• 1 years of experience architecting high-impact GenAI solutions for diverse projects.

• 10 years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.

• 3 years of experience using Python.

Preferred Skills:

• Experience with deploying and managing AI models at scale.

• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.

• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.

• Maintains a flexible “can-do” attitude and a commitment to success.

• Professional verbal and written communication.

• Undergraduate or Graduate degree preferred.