Machine Learning Engineer - 0 To 4 Years - Bangalore

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