AI Engineering Specialist

6 days ago

Gulbarga, Karnataka, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Unlock the Power of Industrial AI

At our organization, we are driving innovation in industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you'll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved.

We are pioneers in collaborative requirement assessment in industry. The combination of deep industry expertise, OEM partnerships, patented AI technologies, and VC backing positions us as the thought leader in the field of requirement intelligence.

Role Description

  • Design, build, and optimize ML models for intelligent requirement understanding and automation.
  • Develop scalable, production-grade AI pipelines and APIs.
  • Own the deployment lifecycle, including model serving, monitoring, and continuous delivery.
  • Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability.
  • Work on large-scale data processing and real-time pipelines.
  • Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
  • Analyze and improve the efficiency and scalability of ML systems in production.
  • Stay current with the latest AI/ML research and translate innovations into product enhancements.

Requirements

  • 3+ years of experience in ML/AI engineering with shipped products.
  • Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong software engineering practices: version control, testing, documentation.
  • Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques.
  • Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
  • Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.).
  • Good understanding of microservices, distributed systems and model performance optimization.
  • Comfortable in a fast-paced startup environment; proactive and curious mindset.

Bonus Points:

  • Experience with natural language processing, document understanding, or LLM (Large Language Model).
  • Experience with Knowledge Graph technologies.
  • Experience with logging/monitoring tools (e.g., Prometheus, Grafana).
  • Knowledge of requirement engineering or PLM systems.

What We Offer:

  • A challenging role in impactful AI products solving real industrial challenges.
  • A collaborative, agile, and supportive team culture.
  • Flexible work hours and location (hybrid/remote).
  • Opportunities to lead, learn, and shape the AI roadmap.

Ready to Shape the Future of Industrial AI?

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