Industrial AI Scientist

Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at:  avathon.com

 

About the Role

As a Industrial AI Scientist at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI, Large Language Models (LLMs) and ML. You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, Normal behaviour modelling, anomaly detection, and predictive maintenance. You are expected to bring strong expertise in statistical modelling, Advanced ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.

The work is equal parts applied research and production delivery. You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers. You will report into the Data Science org and work closely with product and engineering.

You Will

Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems

Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications

Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization

Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams

Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications

Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions

Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift

Contribute to model governance, responsible AI practices, and performance monitoring in production environments

Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions

Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance

Integrate cross-domain signals from Avathon's Computational Knowledge Graph 

Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services

Mentor junior data scientists on technical depth and AI/ML fundamentals

You'll Have

Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field

Prior experience applying AI solutions in industrial asset-intensive environments

Hands-on industry experience in AI engineering, Advance Machine learning, data science, or applied AI roles

Experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)

Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems

Understanding of statistical modelling, experimentation, and model evaluation methodologies

Experience building and deploying Advance ML models into production environments

Strong problem-solving skills with the ability to work independently on complex and ambiguous problem statements

Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders

Strong foundation in statistical modeling with sound judgment on when simple methods outperform complex ones

Experience deploying models into production environments

Preferred Qualifications

Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field

Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent)

Domain experience in energy, mining, manufacturing, aerospace, or logistics or Track record of publishing or presenting applied OR/ML work as plus

Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.