Industrial Automation AI Specialist

1 day ago

Allahabad, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Drive Innovation in Industrial Automation

We're driving the future of industrial automation and engineering by developing intelligent AI agents tailored for manufacturing and automotive sectors.

Our team consists of researchers, technologists, entrepreneurs, and developers with a strong track record of innovation, holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI.

We're pioneers in collaborative requirement assessment in industry.

Our highly skilled team combines deep industry expertise, OEM partnerships, multi-patented AI technologies, and VC backing to position us as thought leaders in the field of requirement intelligence.

Key Responsibilities:
  • 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.
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.

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