Machine Learning Engineer - 0 to 4 Years - Climate Tech Startup
Machine Learning Engineer
Location: Bangalore (Work from Office)
Type: Full-time
Experience: 0 - 4 Years
About The Company
We are the #1 Carbon Accounting Platform for Industrial Manufacturing, dedicated to transforming how heavy industries (like Steel, Cement, and Utilities) manage their environmental footprint. Our AI-driven SaaS platform helps global industrial leaders measure, report, and reduce their carbon emissions across the entire value chain.
Founded by industry veterans from McKinsey, our mission is to solve the $1-2 trillion climate crisis by turning complex operational data into actionable sustainability roadmaps. Backed by top-tier investors like Avaana Capital and RPG Ventures, we are a fast-growing, product-led team building the digital backbone for global industrial sustainability.
The Role
As a Machine Learning Engineer, you will be at the heart of our mission, building the models that predict emissions, identify reduction levers, and automate complex industrial data analysis. Whether you are a fresh graduate from the 2024-25 batch or an experienced professional with up to 4 years of tenure, you will have the opportunity to build foundational AI solutions with real-world environmental impact.
Key Responsibilities
Location: Bangalore (Work from Office)
Type: Full-time
Experience: 0 - 4 Years
About The Company
We are the #1 Carbon Accounting Platform for Industrial Manufacturing, dedicated to transforming how heavy industries (like Steel, Cement, and Utilities) manage their environmental footprint. Our AI-driven SaaS platform helps global industrial leaders measure, report, and reduce their carbon emissions across the entire value chain.
Founded by industry veterans from McKinsey, our mission is to solve the $1-2 trillion climate crisis by turning complex operational data into actionable sustainability roadmaps. Backed by top-tier investors like Avaana Capital and RPG Ventures, we are a fast-growing, product-led team building the digital backbone for global industrial sustainability.
The Role
As a Machine Learning Engineer, you will be at the heart of our mission, building the models that predict emissions, identify reduction levers, and automate complex industrial data analysis. Whether you are a fresh graduate from the 2024-25 batch or an experienced professional with up to 4 years of tenure, you will have the opportunity to build foundational AI solutions with real-world environmental impact.
Key Responsibilities
- Model Development: Design, train, and deploy machine learning models to analyze complex industrial datasets and predict carbon intensity.
- Data Engineering: Build and optimize data pipelines to handle large-scale, high-velocity data from global industrial manufacturing sites.
- Feature Engineering: Extract meaningful features from raw operational and supply chain data to improve model accuracy and interpretability.
- Deployment & Monitoring: Integrate ML models into our cloud-native platform (AWS/Azure) and monitor their performance in real-world production environments.
- Research & Innovation: Stay at the forefront of AI/ML research, particularly in areas like Time-Series forecasting, NLP for sustainability reporting, and industrial process optimization.
- Education: Degree in Computer Science, AI/ML, Data Science, or a related Engineering field. 2024 or 2025 pass-outs are highly encouraged to apply.
- Experience: 0 - 4 years of experience. For freshers, prior internship experience in AI/ML or Data Science is mandatory.
- Technical Foundation: Strong proficiency in Python and its ML ecosystem (Scikit-learn, TensorFlow, PyTorch, Pandas).
- Analytical Mindset: Deep understanding of linear algebra, probability, and statistical modeling.
- Cloud & Tools: Familiarity with AWS (preferred) or Azure and experience with SQL databases (PostgreSQL/MySQL).
- Soft Skills: Ability to translate technical findings into clear insights for product and business teams.
- 0 - 1 Year Experience (2024-25 Batch): Up to ₹15,00,000 (15 LPA) Total Cash Compensation (includes a 10% Variable component).
- 2 - 4 Years Experience: Up to ₹40,00,000 (40 LPA) Total Cash Compensation.
- Impact: Work on solutions that directly address global climate change.
- Culture: High-performance, collaborative startup environment with mentorship from world-class industry experts.