Machine Learning Engineer

Job Description

AI/ML ENGINEER

Who We Are?

Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation.

Location

Chennai

What We Offer

Opportunity to join a top-notch, collaborative team of professionals
Fantastic team environment and collaborative culture
Professional development opportunities to grow into an industry leader
Medical Insurance for the employee and family
Spot Recognition bonus for exceptional performance
Long Term Incentive policy
Regular team outings, events, and activities to foster a positive work environment

Our Commitment to Diversity

At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered.

Position Summary

We are looking for an AI/ML Engineer to build and optimize machine learning models for GIS-based spatial analysis and data-driven decision-making. This role involves working on geospatial AI models, data pipelines, and Retrieval-Augmented Generation (RAG)-based applications for zoning, county sentiment analysis, and regulatory insights. The engineer will also work closely with the data team, leading efforts in data curation and building robust data pipelines to collect, preprocess, and analyse extensive datasets from various geospatial and regulatory sources to generate automated reports and insights.

Core Responsibilities

Machine Learning for GIS & Spatial Analysis:

Develop and deploy ML models for geospatial data processing, forecasting, and automated GIS insights.
Work with large-scale geospatial datasets (e.g., satellite imagery, shapefiles, raster/vector data).
Create AI models for land classification, feature detection, and geospatial pattern analysis.
Optimize spatial data pipelines and build predictive models for environmental and energy sector applications.
Retrieval-Augmented Generation (RAG) & NLP Development:

Develop RAG-based AI applications to extract insights from zoning, permitting, and regulatory documents.
Build LLM-based applications for zoning law interpretation, county sentiment analysis, and compliance predictions.
Implement document retrieval and summarization techniques for legal, policy, and energy development reports.
Data Engineering & Pipeline Development:

Lead the creation of ETL pipelines to collect and preprocess geospatial data for ML model training.
Work with PostGIS, PostgreSQL, and cloud storage to manage structured and unstructured data.
Collaborate with the data team to design and implement efficient data processing and storage solutions.
AI Model Optimization & Deployment:

Fine-tune LLMs for domain-specific applications in renewable energy and urban planning.
Deploy AI models using cloud-based MLOps frameworks (AWS, GCP, Azure).
Optimize ML model inference for real-time GIS applications and geospatial data analysis.
Collaboration & Continuous Improvement:

Work with cross-functional teams to ensure seamless AI integration with existing business processes.
Engage in knowledge sharing and mentoring within the company.
Stay updated with latest advancements in AI, GIS, and NLP to improve existing models and solutions.

Education Requirements

Master’s in Computer Science, Data Science, Machine Learning, Geostatistics, or related fields.

Technical Skills and Experience

Software Proficiency:

Programming: Python (TensorFlow, PyTorch, scikit-learn, pandas, NumPy), SQL.
Machine Learning & AI: Deep learning, NLP, retrieval-based AI, geospatial AI, predictive modeling.
GIS & Spatial Data Processing: Experience with PostGIS, GDAL, GeoPandas, QGIS, Google Earth Engine.
LLM & RAG Development: Experience in fine-tuning LLMs, retrieval models, vector databases (FAISS, Weaviate).
Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, FastAPI.
Big Data Processing: Experience with large-scale data mining, data annotation, and knowledge graph techniques.
Database & Storage: PostgreSQL, NoSQL, vector databases, cloud storage solutions.
Communication: Strong ability to explain complex AI/ML concepts to non-technical stakeholders.
Project Management:

Design experience in projects from conception to implementation.
Ability to coordinate with other engineers and stakeholders.
Renewable Energy Systems:

Understanding of solar energy systems and their integration into existing infrastructure

Experience

2-4 years of experience
Experience in developing AI for energy sector, urban planning, or environmental analysis.
Strong understanding of potential prediction, zoning laws, and regulatory compliance AI applications.
Familiarity with spatiotemporal ML models and satellite-based geospatial analytics.

Psychosocial Skills /Human Skills/Behavioural Skills

Strong analytical, organizational, and problem-solving skills.
Management experience a plus.
Must be a go-getter with an enterprising attitude
A self-starter, able to demonstrate high levels of initiative and motivation
Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion.
Technical understanding of clean energy business processes
Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders.
Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Conditions

The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes.

Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.