Intelligent Engineering Specialist

4 days ago

Thiruvananthapuram, Kerala, India beBeeMachine Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

At the forefront of industrial automation and engineering, we're developing intelligent AI agents tailored for the manufacturing and automotive sectors.

This is your chance to join a growing team in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved.

We have a highly skilled team consisting of researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI.

Founded in 2020, our pioneering work in collaborative requirement assessment has positioned us as the thought leader in the field of requirement intelligence.

About This Role
  • You'll design, build, and optimize ML models for intelligent requirement understanding and automation.
  • You will develop scalable, production-grade AI pipelines and APIs.
  • Owning the deployment lifecycle, you'll include model serving, monitoring, and continuous delivery.
  • You'll collaborate with data engineers and product teams to ensure data integrity, performance, and scalability.
  • You'll work on large-scale data processing and real-time pipelines.
  • You'll contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
  • You'll analyze and improve the efficiency and scalability of ML systems in production.
  • You'll stay current with the latest AI/ML research and translate innovations into product enhancements.
Requirements and Qualifications
  • 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 dynamic and agile work environment.
  • The opportunity to work on impactful AI products solving real industrial challenges.
  • A collaborative and supportive team culture.
  • Flexible work hours and location (hybrid/remote).
  • Opportunities to lead, learn, and shape the AI roadmap.
Work Environment

We value flexibility and autonomy. Our hybrid/remote work policy allows you to choose where you're most productive.

Our office provides a collaborative and stimulating environment for learning and growth.

We foster an open-door policy for communication and feedback.

We prioritize diversity, equity, and inclusion in our workplace.

We strive to create a work-life balance that supports your well-being.

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