Data Science Manager -

Job Summary :

We are seeking an experienced and visionary Data Science Manager to lead and mentor a high-performing data science team. In this pivotal role, you will drive the execution of end-to-end Machine Learning (ML) and Generative AI (GenAI) projects, from ideation and experimentation to production deployment and continuous improvement. You will define and implement data strategies that align with business goals, working in close collaboration with engineering, product, and business Responsibilities : Team Leadership & Mentoring : Lead, mentor, and inspire a team of data scientists, ML engineers, and analysts to deliver high-impact AI solutions. Foster a culture of innovation, collaboration, and continuous Project Ownership : Own and manage the complete lifecycle of ML and GenAI projects, including problem definition, data acquisition, model development, validation, deployment, and Data Strategy & Governance : Define and execute data strategies in alignment with organizational objectives. Ensure high standards of data integrity, security, and governance across all Cross-functional Collaboration : Work closely with software engineers, product managers, and business leaders to prioritize initiatives, integrate AI solutions into products, and drive measurable MLOps & Infrastructure : Implement and manage MLOps practices including CI / CD for models, automated monitoring, retraining pipelines, and versioning. Ensure scalable and reliable infrastructure for experimentation and Innovation & Research : Stay ahead of the curve with the latest advancements in AI, GenAI, and ML. Evaluate and integrate emerging technologies such as large language models (LLMs), vector databases, and prompt engineering best Skills & Qualifications :

• Proven experience leading and managing data science teams in a production environment.
• Strong hands-on experience in Python, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
• Experience with Generative AI tools and technologies (e.g., OpenAI, LLaMA, LangChain, Hugging Face).
• Proficient in deploying ML models on cloud platforms such as AWS, GCP, or Azure.
• Solid understanding of MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
• Strong understanding of data engineering concepts, data governance, and scalable architecture.
• Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
• Masters or PhD in Computer Science, Data Science, AI / ML, or a related Qualifications :
• Experience working with GenAI use cases like summarization, content generation, or conversational agents.
• Prior experience in a startup or product-led organization.
• Familiarity with model interpretability, ethical AI, and responsible AI Join Us?
• Be at the forefront of GenAI innovation.
• Work with cutting-edge technologies and tools.
• Lead transformative AI initiatives in a collaborative and inclusive environment.
• Enjoy the serene work-life balance in Trivandrum, Kerala.

(ref : hirist.tech)