SaT-DnA-Data Science Gen AI-Assistant Director

Job Description

We are looking for a highly skilled and experienced Assistant Director to lead our AI/GenAI team, responsible for developing and implementing industry-specific solutions using Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, with a strong background in Python programming. ### Roles and Responsibility Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere, etc.) Large Language Models (LLMS). Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, identify whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, ensuring smooth service delivery on assigned products, engagements, and/or geographies. Collaborate with project managers to study resource needs and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Communicate effectively with cross-functional/competencies teams and manage go-to-market/stakeholder relationships. ### Job Requirements Experience guiding teams on Projects focusing on AI/Data Science and communicating results to clients. Familiarity with implementing solutions in Azure Cloud Framework. Excellent Presentation Skills. Minimum 6 years of experience in working with NLG, LLM, DL Techniques. Relevant understanding of Deep Learning and neural network techniques. Expertise in implementing applications using open source and proprietary LLM models. Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools. Minimum of 6-9 years of programming in Python. Experience with the software development life cycle (SDLC) and principles of product development. Willingness to mentor team members. Solid thoughtfulness, technical and problem-solving skills. Excellent written and verbal communication skills. Ability to think strategically/end-to-end with a result-oriented mindset. Ability to build rapport within the firm and win the trust of clients. Willingness to travel extensively and to work on client sites/practice office locations.