AI Innovation Lead

Role : Data Science Manager

Experience :

5+ years (with at least 2 years managing a technical team) Location : Bengaluru /

Remote within India Compensation : 38-40 LPA Based on experience

Role Overview :

We are seeking an experienced

Data Science Manager

to lead and grow our data science function, driving cutting-edge machine learning initiatives that power Rocket Learning’s education platform. The ideal candidate will bring strong hands-on experience in deep learning and MLOps, along with demonstrated leadership in managing technical teams. This role will be instrumental in scaling our generative AI and predictive modeling capabilities, supporting impactful interventions across our programs and communities.

Key Areas of Responsibility Team Leadership and Management Lead and mentor a team of data scientists, fostering a culture of collaboration, innovation, and accountability. Provide day-to-day technical guidance, career development, and performance feedback to team members. Take full ownership of the

mentorship and management

of the data science team. Machine Learning and AI Innovation Design and implement scalable ML / DL models to support program delivery and engagement. Build and manage infrastructure to

serve predictions at scale

ensuring reliability and performance. Drive adoption of

generative modeling

and large language model (LLM) use cases relevant to education. MLOps and Deployment Collaborate with engineering and product teams to deploy ML models using

FastAPI, Docker, Kubernetes

• Own and improve

CI / CD pipelines

for model development and deployment. Ensure model performance monitoring and retraining workflows are in place Strategic Collaboration Work with analytics, product, and engineering to identify high-leverage ML opportunities. Stay ahead of emerging AI trends and translate them into actionable innovations for the organization.

Responsibilities in Detail Develop and refine machine learning models for real-time and batch prediction. Implement deep learning solutions using frameworks like

PyTorch

TensorFlow

large language models

for use in community engagement, content generation, and personalization. Optimize model deployment pipelines to ensure low latency and high throughput. Integrate ML solutions into our product and data infrastructure. Maintain strong documentation, reproducibility, and experiment tracking. Champion ethical and inclusive AI practices in educational applications

Critical Success Factors Technical Expertise :

Strong understanding of

machine learning, deep learning,

generative AI concepts

PyTorch

TensorFlow

for model development. Hands-on experience with

FastAPI

Docker

Kubernetes

for model deployment. Familiarity with

MLOps

CI / CD, and infrastructure for scaling AI systems. Experience with

LLM fine-tuning

and model serving at scale. Strategic Thinking :

Ability to translate organizational needs into practical AI solutions. Strong judgment around trade-offs between accuracy, interpretability, and scalability. Collaboration Skills :

Excellent communication skills to work with technical and non-technical stakeholders. Comfort working in a fast-paced, mission-driven, and agile environment.