Job Opportunities API

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   Staff AI/ Data Scientist – Supply Chain AI (Small Language Models)   At  Avathon , we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in  small, focused, high-performance models —deeply grounded in domain context—not just large, generic systems.   We’re looking for an experienced Data Scientist  to join our  Supply Chain AI  team in India. In this role, you’ll design, fine-tune, and deploy optimized  Small Language Models (SLMs)  that power production-grade AI features across logistics, planning, inventory, and demand forecasting.   What Makes This Role Unique   This is a  product-first data science role . You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes.   What You’ll Do   Build and fine-tune SLMs/LLMs  for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights.  Optimize models  for performance, cost, and latency using PEFT, quantization, and efficient inference techniques   Embed supply chain knowledge  into models by working closely with domain experts and product teams   Enable agentic workflows , allowing AI Assistants to execute planning, optimization, and decision-support tasks   Integrate models into products  using custom Lambdas, and a Graph-based microservices architecture    Apply vector search and semantic reasoning  to help customers navigate complex supply chain relationships   Work with real enterprise data —ERP, logistics, inventory, supplier, and contract datasets   Deploy and operate models  using strong MLOps practices on platforms like AWS, GCP or AZURE   Measure and improve quality , reducing hallucinations and improving reliability through continuous evaluation   Partner with engineering, product, and operations teams  to ship impactful AI features end-to-end   What We’re Looking For   Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations.