Industrial Ai/ml Model Developer

1 week ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 12,00,000 - ₹ 18,00,000

Unlock the Power of Artificial Intelligence

We are seeking a highly skilled Ai/ml Engineer to join our team. In this role, you will have the opportunity to design and optimize advanced AI models and agent architectures that interact with complex, real-world industrial data.

The Role:

This is an exciting opportunity to push the technical boundaries of what's possible with industrial Gen AI. You'll be working closely with solution engineers, product teams, and customer data to build smart, scalable AI components that power next-generation industrial workflows.

Your Key Responsibilities:

  • Model Development: Design and apply foundation models to domain-specific tasks, focusing on prompt engineering, reasoning workflows, and tool use with attention to accuracy, robustness, and real-world applicability.
  • Agent Architecture Design: Develop modular, production-ready agent workflows integrated with CDF and ATLAS AI, leveraging tools, memory, reasoning chains, and APIs.
  • Tech Exploration & Integration: Evaluate and integrate new Gen AI tools, open-source frameworks, and APIs into ATLAS AI workflows.
  • System Optimization: Benchmark performance, tune retrieval and reasoning pipelines, and ensure scalability in real-world industrial deployments.

What We're Looking For:

Must-Have Skills
  • 6+ years of experience in AI/ML engineering, with hands-on delivery of models.
  • Proficiency in working with foundation models (LLMs), including: Prompt engineering, evaluation, and (when relevant) fine-tuning.
  • RAG pipelines and integration with knowledge bases or vector databases.
  • Strong Python skills with experience using frameworks such as Lang Chain, Transformers, or similar.
  • Understanding of cloud-native development, model training workflows, and ML pipeline orchestration (e.g., data labeling, feature selection, model retraining).
  • Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
Bonus Skills
  • Experience with Cognite Data Fusion (CDF).
  • Experience integrating AI workflows with time series, asset hierarchies, or knowledge graphs.
  • Deep learning or traditional ML background (e.g., model architecture selection, hyperparameter tuning, evaluation pipelines).
  • Understanding of industrial data types (e.g., time series, contextual events, industrial knowledge graphs).
  • Experience labeling industrial datasets, including annotation strategies and working with imperfect or sparse labels.

About This Role

This role offers a unique blend of technical challenge and business impact. As an AI/ML Engineer, you will be at the forefront of driving innovation in industrial Gen AI, working closely with cross-functional teams to deliver cutting-edge solutions that drive business results.

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