Asks for

The ad says“Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE”
The ad says“Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE”
The ad says“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”
The ad says“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”
The ad says“Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment”
The ad says“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”
The ad says“Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE”
The ad says“Integrate models into products using custom Lambdas, and a Graph-based microservices architecture”
The ad says“Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases”
The ad says“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”
The ad says“Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights.”
The ad says“Integrate models into products using custom Lambdas, and a Graph-based microservices architecture”
The ad says“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.”
The ad says“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”
The ad says“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.”
The ad says“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.”
The ad says“Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE”
The ad says“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.”
The ad says“Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights.”
The ad says“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”
The ad says“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.”
The ad says“Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases”
The ad says“Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases”
The ad says“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.”
The ad says“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”
The ad says“Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search.”
The ad says“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”
The ad says“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.”
The ad says“Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases”
The ad says“Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases”
The ad says“Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships”

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.

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

You’ll work on core AI products, not experiments—solving 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.

Asks for

Values