Machine Learning Engineer
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Job Summary
We are seeking a Machine Learning Engineer 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.
Identify and uncover new use cases for ML/AI across Varahas 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.
Skills & Qualifications
4-10 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.
Join a small ambitious and international team and enjoy the following benefits:
Competitive salaryand 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
Please note this job description is not designed to contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without notice.
Varaha is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices based on race sex age handicap religion national origin or any other basis prohibited by applicable law. Hiring transferring and promotion practices are performed without regard to the above listed items.
If you are interested in becoming a part of this venture then we would love to know your story write to us at
- Machine learning
- Data science
- MLOps
- ML Tools
Required Experience:
IC
