Machine Learning Engineer
Varaha →Machine Learning Engineer at Varaha is a full time role based in Bengaluru, Karnataka-17, India-101. The listing asks for 3–8 yrs of experience. Listed skills: Machine learning, Data science, MLOps and ML Tools. It was published on 23 June 2026 and was open at last check.
| Role | Machine Learning Engineer |
|---|---|
| Company | Varaha |
| Location | Bengaluru, Karnataka-17, India-101 |
| Employment type | Full Time |
| Experience asked | 3–8 yrs |
| Skills listed | Machine learning, Data science, MLOps and ML Tools |
| Published | 23 June 2026 |
| Status | Open at last check |
Company Introduction
Varaha is a global, leading climate-tech venture focused on carbon removal solutions such as regenerative agriculture, afforestation, biochar, and enhanced rock weathering – supporting smallholder land stewards at scale. In just our third year of operation, we are removing and avoiding more than 1 million tons of CO₂, distributing the majority of revenues to over 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Backed by leading global investors, our founding and management team has a stellar track record of scaling impactful projects and products across agri-tech and sustainability sectors.
Position: Machine Learning Engineer
About the Role
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.
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.
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.
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
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 careers@varahaag.com
Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 23 Jun 2026.
Machine Learning Engineer at Varaha — questions answered
What does the Machine Learning Engineer role at Varaha pay?
Varaha does not publish a salary on this Machine Learning Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Machine Learning Engineer role at Varaha based?
Varaha lists this Machine Learning Engineer role in Bengaluru, Karnataka-17, India-101, advertised as full time work at that location and asking for 3–8 yrs of experience. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Varaha before you apply.
What skills does the Machine Learning Engineer role at Varaha require?
The Machine Learning Engineer at Varaha listing names Machine learning, Data science, MLOps and ML Tools. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
How much experience do you need for the Machine Learning Engineer role at Varaha?
Varaha asks for 3–8 yrs of experience on this Machine Learning Engineer posting, alongside Machine learning, Data science and MLOps. Employers commonly consider candidates slightly under a stated band when the listed skills line up.
Is the Machine Learning Engineer role at Varaha still open?
The Machine Learning Engineer posting at Varaha was open at OnJob's last check of the employer's careers page, having been published on 23 June 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Machine Learning Engineer role at Varaha?
Apply to the Machine Learning Engineer at Varaha role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile. Creating a profile is free and needs no card.
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