Machine Learning Engineer 0 to 4 Years Climate Tech Startup
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
7 Vacancies
Job Summary
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 LPA) Total Cash Compensation (includes a 10% Variable component).
2 - 4 Years Experience: Up to (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.
Required Skills:
learningagentic airagsmachine learninggenerative aimlopsmlllmaws
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
