Associate Director – Artificial Intelligence

Associate Director – Artificial Intelligence

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred.
• 8+ years of experience in AI and related domains, with a proven track record of leading AI projects.
• Experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, and computer vision solutions.
• 4+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• 2+ experience in managing AI teams and cross-functional initiatives.
• Expert ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving skills with expertise in AI/ML techniques.
• Excellent leadership and communication skills to guide teams and align goals.
• Ability to translate complex technical concepts into actionable business strategies.

Responsibilities

• Lead in operationalizing the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering.
• Identify opportunities to leverage AI technologies to improve efficiency, productivity, and innovation.
• Work across AI and ML team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, and UAT.
• Collaborate closely with business stakeholders, data scientist, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Responsible for the partnering on the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
• Oversee the development and deployment of AI models and algorithms to solve complex problems.
• Ensure the robustness, scalability, and performance of AI systems and solutions.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Supervise a team of data scientists, machine learning engineers, and AI specialists.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Ensure stakeholder needs are met through effective communication and collaboration.
• Promote understanding of AI capabilities and limitations across the organization.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Develop policies that promote transparency and accountability in AI applications.

Preferred Qualifications

• Experience designing and deploying Gen AI solutions at scale.
• Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation.
• Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g: DPO.
• Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.