AI Transformation Specialist

1 week ago


Jamnagar, Gujarat, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Industrial AI Engineer

At the forefront of industrial automation, we're pioneering intelligent AI agents for the manufacturing and automotive sectors. As a key member of our team, you'll play a pivotal role in developing robust, scalable, and intelligent AI products that redefine complex engineering workflows.

We're a highly skilled team of researchers, technologists, entrepreneurs, and developers with 15 patents and 20+ publications at prestigious scientific venues. Founded in 2020, we've established ourselves as thought leaders in requirement intelligence through our innovative solutions and OEM partnerships.

Our Ideal Candidate

  • Designs, builds, and optimizes ML models for intelligent requirement understanding and automation.
  • Develops scalable, production-grade AI pipelines and APIs.
  • Owns the deployment lifecycle, including model serving, monitoring, and continuous delivery.
  • Collaborates with data engineers and product teams to ensure data integrity, performance, and scalability.
  • Works on large-scale data processing and real-time pipelines.
  • Contributes to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
  • Analyzes and improves the efficiency and scalability of ML systems in production.
  • Remains current with the latest AI/ML research and translates innovations into product enhancements.

What We're Looking For

  • 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

  • Competitive compensation.
  • Opportunity to work on 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.


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