We are seeking a Machine Learning Lead with deep expertise in applying ML/AI to complex real-world challenges, with preference towards geospatial and climate data solutions.

You will be responsible for defining and executing our ML/AI strategy, building and managing a high-performing team of ML Engineers and Data Scientists, and driving company-wide adoption of ML tools and models to enhance our carbon intelligence platform, field operations, and verification processes.

This role requires 6-10 years of experience or more in the ML/AI domain.

Responsibilities :

- Identify and uncover new use cases for ML/AI across Varaha's business, from carbon estimation and geospatial analysis to operational efficiency for field agents.

- Drive the adoption of ML tools and best practices across engineering and data science teams, establishing MLOps pipelines for scalable model deployment and monitoring.

- Lead the architecture and development of scalable, resilient ML systems for processing high-throughput geospatial and carbon data.

- Build and manage a team of Machine Learning Engineers and Data Scientists, fostering a culture of innovation, rigor, and production-readiness.

- Collaborate with product, engineering, and operations teams to embed ML capabilities into core products and internal tools.

- Oversee model lifecycle management, including experimentation, training, validation, deployment, and performance monitoring in a production environment.

Qualifications :

Skills Qualifications :

- 6-10+ years of experience in Machine Learning, Data Science, or a related field, with a focus on real-world application and deployment.

- Proven experience in building, mentoring, and managing a technical team (ML Engineers/Data Scientists).

- Strong knowledge of MLOps, system design for distributed ML pipelines, and cloud-native services (AWS, GCP, or Azure).

- Deep proficiency in machine learning frameworks, libraries, and best practices (Python, PyTorch, TensorFlow, etc.

- Experience with large-scale data processing, data modeling, and feature engineering for complex datasets, especially geospatial data.

- Demonstrated ability to translate vague business problems into structured, high-impact ML solutions and drive their adoption.

Bonus Points If You Have:

- Advanced experience with geospatial data processing (Satellite imagery, GDAL, rasterio, GeoJSON, etc.
) or remote sensing.

- Familiarity with real-time stream processing for ML features (Kafka, Redis Streams).

- Experience in climate-tech, agriculture, sustainability domains, or a background of ML / CV / Geo-Spatial research groups in renowned institutions like IISc, IIT Bombay, IIIT Bangalore, Microsoft Research, Google Research, etc.

Additional Information :

What We Offer :

Join a small, ambitious, and international team and enjoy the following benefits :

- Competitive salary and benefits package (ESOP).

- Key role in shaping a fast-growing climate tech startup.

- Support for learning & professional development.

- A culture of undogmatic, unbureaucratic creativity and collaboration.