AI Systems Architect

6 days ago

Mount Abu, Rajasthan, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

We're at the forefront of developing intelligent AI agents that revolutionize industrial automation and engineering.

As a key member of our team, you'll play a pivotal role in designing and building robust, scalable, and intelligent AI systems that redefine complex engineering workflows.

We're pioneers in collaborative requirement assessment, leveraging our founder's expertise, OEM partnerships, and multi-patented AI technologies to position ourselves as leaders in requirement intelligence.

  • Design and develop ML models for intelligent requirement understanding and automation.
  • Develop 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 ML systems in production.

We seek an experienced professional with:

  • 3+ years of experience in ML/AI engineering with shipped products.
  • Proficiency 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 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 attractive compensation, work on impactful AI products solving real-world challenges, a collaborative team culture, flexible work hours, and opportunities to lead, learn, and shape the AI roadmap.

We believe in empowering our team members to take ownership of their projects and contribute to the company's growth. If you're passionate about AI and want to be part of a dynamic team, we encourage you to apply.

Please submit your resume and a cover letter explaining why you're the ideal candidate for this role.

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