About the Role :
We are seeking an experienced and dynamic Data Science Manager to lead and mentor a high-performing team of data scientists. In this pivotal role, you will drive end-to-end machine learning (ML) and Generative AI (GenAI) projectsfrom ideation through deploymentensuring alignment with our broader business objectives. You will collaborate closely with cross-functional teams, including engineering, product, and business stakeholders, to leverage data-driven insights that fuel innovation and strategic growth.
Key Responsibilities :
- Lead, develop, and mentor a talented data science team to deliver impactful ML and GenAI solutions.
- Oversee the entire lifecycle of ML and GenAI projects, ensuring timely delivery and robust deployment.
- Define and execute comprehensive data strategies that align with company goals and market demands.
- Collaborate cross-functionally with engineering, product management, and business units to translate requirements into scalable data solutions.
- Ensure data integrity, governance, and the implementation of scalable data infrastructure.
- Establish and manage MLOps best practices including CI / CD pipelines, model monitoring, and automated retraining workflows.
- Stay abreast of the latest developments in AI, GenAI, and ML technologies, integrating innovative approaches where applicable.
Required Skills & Experience :
Proven leadership experience managing data science or ML teams.Strong proficiency in Python and key ML frameworks such as TensorFlow and PyTorch.Hands-on experience with Generative AI tools, including large language models (LLMs).Expertise in cloud platforms such as AWS, GCP, or Azure.Deep understanding of MLOps pipelines and productionizing ML models.Excellent communication and collaboration skills, with a business-focused mindset.Join us to drive cutting-edge AI initiatives that shape the future of our business.
(ref : hirist.tech)