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 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. 

Location: Bangalore (onsite).

Work Mode: Onsite 5 days

Experience: Atleast 5+ years

Industry Background Preferred: Enterprise AI Technology, Manufacturing, Energy (conventional and renewables), Aerospace & Defense, Supply Chain and Transportation, Industrial Technology

About the Role

We are looking for a marketing professional with the ability to manage projects across conceptualising, researching, writing, and editing content for our B2B audience. This includes website copy, thought leadership pieces, presentations, white papers, articles/blog posts, videos, social media, and more.

You will be responsible for maintaining the voice of the Avathon brand, its products, and solutions.

You must have the ability to work both independently and collaboratively to meet deadlines and develop cohesive and well researched concepts. This role involves close collaboration with teams across sales, product development, and marketing to help generate leads, conduct Marketing research and promote content. If you can quickly absorb, analyze, and translate complex information, research and technologies into compelling content, we want to talk to you!

What You’ll Do

• Monitor competitor strategies, products and marketing efforts to identify potential market opportunities

• Translate complex data into easy-to-understand reports, graphs, and presentations for stakeholders.

• Bring to life the concept and execution of our artificial intelligence (AI) products and solutions for marketing and sales initiatives.

• Research and compile information to prepare moderately complex documents.

• Create and/or facilitate the production of content to support current sales, demand generation, and marketing efforts.• Help maintain a library of current content and ensure timely updates when necessary.

• Predict future sales trends and market shift, provide insights into customer demands, identify customer needs and content gaps, and recommend new content formats and channels.

• Ensure consistency across all content in terms of style, tone, format, nomenclature, and brand voice.

What You Bring

• 5+ years of content writing experience, preferably in the AI or enterprise technology field as industry domains listed above.

• Degree in Marketing, English, Communications, Journalism, or a related field.

• Understanding of data science, advanced analytics, and/or related technologies.

• Preferably but not limited to a background in energy, oil & gas, manufacturing, automotive, aerospace and defence, and supply chain is a plus.

• Experience conducting research using multiple reputable sources.

• Proficiency with Microsoft Office suite.

• Excellent written and verbal communication skills in English with strong grammar and attention to detail.

• Ability to take direction, manage time independently, and work collaboratively with cross-functional teams.

• Comfort working in a dynamic, fast-paced environment with stakeholders across multiple departments.

Marketing Programs Specialist

Location: Bangalore (onsite). Candidates are expected to report to the office 5 days a week.

Experience: 3–5 years

Type: Full-Time

We’re looking for a versatile and results-driven Marketing Programs Specialist to join our growing global marketing team in Bangalore. This role is ideal for a hands-on marketer with a blend of skills in campaign execution, event coordination, and cross-functional collaboration. You’ll play a key role in bringing integrated marketing programs to life—ranging from field events and webinars to demand generation campaigns and digital content. This is a full-time, onsite position in our Bangalore office, offering broad exposure across the marketing function in a fast-paced, innovation-driven environment.

What You’ll Do

• Execute integrated marketing campaigns across digital, email, events, and partner channels to drive awareness and lead generation.
• Support planning and execution of field marketing events, including industry tradeshows, customer events, executive roundtables, and regional activations.
• Coordinate end-to-end execution of webinars, including setup, promotion, hosting, and post-event reporting.
• Support cross-functional marketing campaigns by aligning with sales, product, content, and global marketing teams.
• Assist with planning and logistics for event deliverables including event materials, swag, signage, demos, and lead capture forms.
• Coordinate basic social media content publishing (LinkedIn, Twitter) in collaboration with the content team.
• Track event performance and KPIs, prepare post-event summaries, and contribute to ongoing improvements.
• Maintain marketing calendars, event schedules, and campaign checklists to ensure timely execution.
• Stay up-to-date with event and webinar best practices and contribute creative ideas for improving audience engagement.

What You Bring

• 3–5 years of experience in marketing management—preferably in B2B or tech environments.
• Proven track record in executing marketing campaigns and coordinating field marketing events.
• Proven ability to manage event logistics, communications, and virtual event platforms (e.g., Zoom, LinkedIn, Microsoft Teams, Riverside.fm).
• Strong project management and organizational skills with a keen eye for detail.
• Excellent communication skills in English—both written and spoken.
• Experience using marketing tools like HubSpot, Salesforce, Canva, or Asana is a plus.
• A self-starter who enjoys working independently and cross-functionally to meet tight deadlines.
• Strong time management and adaptability in a fast-paced, dynamic work environment.

Why Join Us?

• Collaborate with a global marketing team on high-visibility programs across key industries.
• Be part of a fast-growing company that’s redefining the future of industrial AI and innovation.
• Gain exposure to a wide range of marketing functions and growth opportunities.
• Enjoy a supportive culture, and a mission-driven environment.

Position Summary:

Avathon’s Industrial AI Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing Aviation, Manufacturing, Mining, Renewable and Oil & gas energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our Data Engineering and Science platform works across multiple capital intensive industrial asset types to offer insights to our customers.

Join us in developing and applying cutting-edge Enterprise Data Engineering solutions for commercial and industrial AI SaaS applications. We are looking for candidates with strong expertise in large scale Data Engineering, building scalable ETL pipelines to enable our AI enabled Saas Asset Performance Management. As a Senior Data platform Engineer you will be working closely with team members across domains with deep technical skills and Industrial AI domain. 

What you will do:

• Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems (data lakes, warehouses, pipelines) to ensure secure, efficient data flow and accessibility for analytics and AI/ML
• Building robust ETL pipelines and automating data workflows. Focus on automating data management, implementing DevOps principles (CI/CD, monitoring), and collaborating on data architecture.
• Utilise Key tools include Python, SQL, Cloud platforms (AWS/Azure/GCP), Kafka, Spark, and Docker. 
• Developing and maintaining scalable ETL and MLOps pipelines and workflows.
• Enforcing data quality rules to ensure consistency, completeness, and accuracy across ETL processes.
• Designing, constructing, testing, and maintaining highly scalable data management systems.
• Mentoring a team of Data Analysts, Data Engineers, and Data Quality Specialists.
• Fostering a culture of continuous learning, collaboration, and data-driven decision-making.

You’ll have:

• Excellent programming skills in Python, along with deep expertise in relational databases (MSSQL/MySQL/Postgres).
• 5+ years of hands-on experience in data engineering with a solid foundation in architecture principles.
• 1+ years of leadership or mentorship experience of data teams.
• Strong understanding of serverless architectures and building scalable ETL pipelines.
• Effective communication and leadership skills, capable of driving projects to completion.
• People and project management experience is a plus.

It would be great if you had:

• Experience in Industrial Engineering Systems like IoT time series data or even old legacy systems e.g. PLC, SCADA systems.
• Experience with cloud-native tools, particularly AWS or GCP.
• Willingness to adopt new technologies to enhance data quality and ETL processes.
• Hands-on experience in DevOps, focusing on cloud-native technologies.
• Expertise in debugging and troubleshooting ETL pipelines, data transformations, and integrity issues.

Other requirements:

This is 5 days onsite work week schedule

A design/ coding challenge is a prerequisite for this position.

We are seeking a Senior Accountant Associate to join our rapidly expanding team of seasoned finance professionals. This position shall report to the Finance Head (India) and play an important role in helping shape the accounting team as the company grows. This role presents an incredible learning opportunity and will include exposure to a variety of accounting processes and business process optimization (for the US parent company and our India subsidiary) in a global, fast-paced, and growing environment.

Location: Bangalore (Onsite 5 day workweek)

Key Responsibilities

Revenue Accounting

- Ensure accurate revenue recognition in line with applicable accounting standards (Ind AS / IFRS / ASC 606).

- Review customer contracts and support revenue assessment including accruals, deferrals, and adjustments.

- Maintain revenue schedules and reconcile billed vs recognized revenue.

- Support monthly revenue close and audit requirements.

Accounts Payable

- Manage end-to-end AP process including vendor onboarding, invoice processing, and payment runs.

- Ensure correct accounting, GST compliance, and timely settlements.

- Reconcile vendor statements and resolve discrepancies.

Group & Intercompany Accounting

- Record and reconcile intercompany transactions including AR/AP, cost allocations, and recharges.

- Support group reporting and eliminations during monthly close.

- Assist in consolidation schedules and coordination with group finance teams.

Month-End Close & Compliance

- Support monthly, quarterly, and annual close activities.

- Prepare balance sheet reconciliations and ensure timely closure of open items.

- Assist with statutory audits, internal audits, and information requests.

- Ensure compliance with internal controls and accounting policies.

Desired Skills & Qualifications

- Total at-least 5 years experience (3 to 4 years of experience in accounting roles with exposure to revenue accounting)

- Bachelor’s degree in commerce, Accounting, or Finance. Professional accounting qualification (CA Inter / ACCA / CMA – pursuing or completed) is preferred.

- Strong understanding of accounting principles and month-end close processes.

- Hands-on experience with AP and intercompany accounting.

- Working knowledge of GST and basic compliance requirements.

- Proficiency in Excel and familiarity with ERP systems (Intacct & Zoho Books)

- Ability to work independently and manage multiple priorities.

What We Are Looking For

- Strong attention to detail and ownership mindset.

- Clear communication and ability to coordinate with cross-functional teams.

- Comfortable working in a fast-paced, growing organization.

- Willingness to learn and adapt to evolving accounting requirements.

Position Summary

As a Sales Director, you will be responsible for driving new business growth and expanding Avathon’s footprint within strategic enterprise accounts. You will own the complete sales cycle — from market engagement and C-suite relationship building to structuring complex, high-value deals. In this leadership role, you will partner with product, marketing, and solution engineering teams to deliver tailored SaaS enabled AI-driven solutions that directly address client challenges, while also shaping Avathon’s go-to-market strategy through market feedback.

Key Responsibilities

• Develop and execute enterprise sales strategies to acquire new logos and expand existing accounts, consistently achieving or exceeding ARR and TCV targets.
• Leverage deep understanding in any of the following Industrial Domains - Supply Chain and Logistics operations, Renewal Energy / Oil & Gas or Sales experience in AI / machine vision products for Health & Safety compliance in manufacturing. Across all these domains, Avathon builds AI solutions that enhance planning, operational efficiency, risk management, and compliance across complex industrial ecosystems.
• Build trusted C-suite and senior stakeholder relationships across target industries, positioning Avathon as a strategic partner.
• Lead complex deal cycles including RFPs, tenders, pilots, and enterprise-scale rollouts across APAC, EMEA, and NAM regions.
• Collaborate with product and engineering teams to influence roadmap direction based on enterprise customer needs, industry trends, and competitive positioning.
• Leverage partnerships with hyperscalers and OEMs (Microsoft, AWS, Google, etc.) and global system integrators to drive co-selling opportunities and pipeline growth.
• Provide market intelligence and pipeline insights to the leadership team, presenting forecasts and deal strategies with clarity and accuracy.
• Champion cross-sell and up-sell strategies across verticals to maximize customer lifetime value.
• Represent Avathon at industry forums and client workshops, showcasing our leadership and AI solutions in the above mentioned domain/ technology and enterprise AI adoption.

Qualifications & Experience

• 10+ years of experience in enterprise SaaS / AI sales, with a proven track record of exceeding multi-million-dollar quotas.
• Demonstrated success in complex enterprise sales across industries such as Oil & Gas, Energy, Manufacturing, SCM, Automotive, and Retail.
• Experience selling SaaS based AI solutions is strongly preferred.
• Strong background in navigating long deal cycles, tenders, and global RFPs.
• Proven ability to engage and influence C-suite executives and senior decision-makers.
• Experience in building new markets and scaling regions through partner alliances and channel strategies.
• Bachelor’s degree required (MBA or technical background preferred).
• Excellent communication, negotiation, and presentation skills with the ability to translate complex technology into business impact.

Position Summary:

We are seeking an experienced DevOps Engineer to join our dynamic team operating in an agile development environment. The ideal candidate will have a solid foundation in DevOps across building software pipelines, creating repeatable deployments, and experience with various infrastructure components in the cloud. As a Sr. DevOps Engineer you will be working closely with team members across domains with deep technical skills and passion for AI.

You Will:

• Design and continuously improve the infrastructure for cloud-based services and client interfaces
• Manage the day-to-day operations of our build, testing, and continuous integration environment
• Work with internal IT, Software Engineers, Cloud Architects, and fellow DevOps Engineers to build & maintain dev & prod environments
• Implement best practices for always-up, always-available services
• Proactively communicate project & task status to project stakeholders
• Occasional on-call support and customer meetings may include irregular hours as needed

You'll Have Skills:

• Kubernetes Architecture & Operations: 2+ years of experience managing production-grade clusters (GKE preferred), including expertise in K8s internals, Helm chart creation, Service Mesh (Istio), and autoscaling strategies (HPA/VPA).
• GitOps & CI/CD: Proven ability to design container-native pipelines and manage cluster state using GitOps methodologies (ArgoCD) alongside standard CI tools.
• Infrastructure as Code (IaC): Experience on Terraform for provisioning cloud resources and bootstrapping clusters.
• Observability & Reliability: Hands-on experience on full-stack observability for microservices using Prometheus, Grafana, ELK/Loki, and distributed tracing to ensure system reliability and rapid incident response.
• Core Engineering Foundation: 2+ years in DevOps/Linux Administration with strong scripting proficiency (Python, Bash, or Go) and a track record of automating workflows in fast-paced cloud environments.

**A PLUS if you provide the link to your GitHub Website

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 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. 

As a Senior Data Engineer in the Engineering team: 

Data engineering team builds the robust pipelines that feed the analytics driving the renewable energy sector, enabling real-time monitoring, forecasting, predictive maintenance, and grid optimization for solar, wind, and other sources, ensuring efficiency, reliability, and effective integration into smart grids by managing massive data flows from IoT devices, PLC systems and smart meters. In essence, data engineers create the "data highways" that allow data scientists and AI to turn raw energy data into actionable intelligence, making renewable energy systems smarter, more efficient, and more reliable for a sustainable future

Join us in:

• Building and optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems.
• Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains
• Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.
• Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.
• Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.

You'll have:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.
• Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.
• Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.
• Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.
• Familiarity with workflow orchestration tools like Airflow or Prefect.
• Proven ability to lead data engineering teams and mentor junior engineers.

It would be great if you have:

• Experience working with IoT or real-time streaming data.
• Knowledge of data governance frameworks and best practices.
• Exposure to MLOps workflows and integrating data with machine learning models.
• Experience in the energy or manufacturing sector or familiarity with time-series data.
• A strong understanding of data warehousing concepts, including Kimball model design.
• A deep understanding of data security and compliance requirements, particularly in cloud environments.

**A PLUS if you provide the link to your GitHub Website