Artificial Intelligence Engineer Specialist

2 days ago

Salem, Tamil Nadu, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

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

Our team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues.

Founded in 2020, we pioneered collaborative requirement assessment in industry with an OEM partnership with Siemens, multi-patented AI technologies and VC backing.

Key Responsibilities:
  • Design, build, and optimize machine learning models for intelligent requirement understanding and automation.
  • Develop scalable, production-grade AI pipelines and APIs.
  • Owning 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 machine learning systems in production.

Requirements:

  • 3+ years of experience in machine learning/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:

  • Attractive compensation package.
  • 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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