Senior Manager Data Science (AI/ML)

Responsibilities :
Lead AI Strategy: Oversee AI/ML projects from development to deployment, ensuring alignment with business goals.Model Development & Fine-tuning: Lead the fine-tuning of LLMs and advanced NLP models to meet enterprise needs.Team Leadership: Manage and mentor data science teams, fostering growth and innovation.Cross-functional Collaboration: Work with engineers, product teams, and leadership to drive AI initiatives.Optimization & Deployment: Ensure efficient workflows, containerization (Docker), and scalable model deployment.Client Engagement: Provide strategic insights and translate AI capabilities into business solutions.Good to Have:Cloud Platform Expertise: Experience working with AWS, Azure, or GCP on large-scale AI/ML projects.Enterprise Solutions: Familiarity with enterprise Knowledge Management Systems and their integration with AI-driven tools.Advanced MLOps: Deep understanding of MLOps principles and tools to ensure efficient model deployment and monitoring.Problem-Solving: Ability to break down complex problems into manageable components and design effective solutions.Innovation: A passion for experimenting with cutting-edge AI/ML technologies and applying them to real-world business problems.Required Skills:Technical Skills:Proficiency in Python, with strong expertise in libraries such as PyTorch, Pandas, and NumPy.Extensive experience in fine-tuning large language models (LLMs) and applying advanced NLP techniques.Strong background in handling both structured and unstructured data, with hands-on experience working on complex data transformations.Proficiency in MLOps tools, including Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).In-depth knowledge of model optimization, deployment pipelines, and scalable production environments.Ability to design and implement AI/ML workflows that balance speed and quality in a fast-paced environment.Leadership Skills:Proven ability to lead and manage teams of data scientists, driving results through mentorship and strategic guidance.Strong project management skills, with experience handling multiple AI projects simultaneously and ensuring timely delivery.Exceptional communication skills to work with cross-functional teams and explain complex AI concepts to non-technical stakeholders.