Staff Data Scientist R&D at Avathon, Inc – Austin, Texas

Avathon, Inc
Position Title: Staff Data Scientist R&D

Who We Are & Why Join Us

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extensionall tailored to the complexities of industrial environments.

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

Staff 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 modelsdeeply grounded in domain contextnot just large, generic systems.

Were looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, youll 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 wont just build modelsyoull 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 Youll 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 dataERP, 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 Were 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.

Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems)

Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights.

Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases

8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products

Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search.

Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment

Experience taking models from prototype to production

Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling

Clear communication skills and a strong sense of product ownership

Why Avathon

Youll work on core AI products, not experimentssolving complex supply chain problems for global enterprises, while building from India as a key innovation hub.

If you enjoy shipping AI that delivers measurable business value, this role is for you.

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.