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
- 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.
Required Qualifications
- 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.
Compensation & Benefits
- 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.
Skills: llm,machine learning,aws,learning,generative ai,mlops,agentic ai,ml,rags