Revolutionize Industrial Automation with AI Engineering Expertise

2 weeks ago


Mangalore, Karnataka, India beBeeAI Full time ₹ 55,00,000 - ₹ 88,00,000

Industrial AI Engineering Professional

The role involves developing, optimizing, and deploying intelligent AI solutions for industrial applications. Our team focuses on building robust and scalable AI systems that improve complex engineering and requirements workflows.

Key Responsibilities:

  • Design, build, and optimize ML models for intelligent requirement understanding and automation.
  • Develop 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.

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.

We Offer:

  • A collaborative, agile, and supportive team culture.
  • Flexible work hours and location (hybrid/remote).
  • Opportunities to lead, learn, and shape the AI roadmap.

Apply Now:

Ready to shape the future of industrial AI?


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