About the Company

Enverus is a leading energy-focused SaaS company dedicated to making energy more affordable and accessible worldwide. The organization leverages advanced analytics and generative AI technologies to provide actionable insights that help businesses optimize energy production, distribution, and consumption. With a strong presence across renewables, utilities, oil and gas, and financial sectors, Enverus continues to innovate and drive efficiency across the global energy ecosystem.

Introduction

Enverus is hiring a Product Intern – Machine Learning & Generative AI for its Bangalore (Hybrid) office. This 6-month internship is ideal for candidates passionate about AI, machine learning, and solving real-world problems using cutting-edge technologies. As an intern, you will collaborate with experienced engineers and data scientists to build intelligent, production-ready AI solutions and contribute to impactful product features.

Key Responsibilities

Machine Learning & AI Development

Assist in designing and developing machine learning and AI-based solutions.
Work on generative AI use cases such as text analysis, summarization, and chatbot applications.
Contribute to building intelligent product features powered by AI models.

Data Processing & Analysis

Clean, preprocess, and analyze datasets to support model development.
Ensure data quality and relevance for training and testing AI models.

Model Testing & Optimization

Support testing, evaluation, and performance tuning of machine learning models.
Identify opportunities for improving model accuracy and efficiency.

Research & Experimentation

Participate in experiments and proof-of-concepts for new AI ideas.
Explore emerging technologies and frameworks in generative AI.

Collaboration & Communication

Work closely with cross-functional teams including ML engineers, data scientists, and product teams.
Communicate technical findings effectively to both technical and non-technical stakeholders.

Required Qualifications

Strong understanding of core machine learning concepts.
Proficiency in Python and experience with ML/AI model development.
Familiarity with generative AI concepts such as prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflows.
Basic knowledge of LLM frameworks and AI agent development.
Working knowledge of Git for version control.
Strong analytical thinking and problem-solving skills.
Good communication and collaboration abilities.

Preferred Qualifications

Hands-on experience with generative AI projects or personal AI applications.
Exposure to NLP tasks such as text classification, summarization, or chatbot development.
Familiarity with AI frameworks and tools used for building scalable ML systems.
Interest in energy, sustainability, or SaaS-based analytics platforms.

Why Join Us / Benefits

Hands-on experience working on real-world AI and generative AI projects.
Opportunity to collaborate with experienced ML engineers and data scientists.
Exposure to production-level AI systems and cutting-edge technologies.
Work in a fast-growing, innovation-driven SaaS company.
Contribute to impactful solutions that support global energy sustainability.
Hybrid work model offering flexibility and collaboration.