AI Engineering Pioneer

4 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time US$ 1,20,000 - US$ 1,60,000
">Transformative AI Engineer Role">

We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for manufacturing and automotive sectors. You'll play a key role in building robust, scalable, and intelligent AI products that redefine complex engineering and requirements workflows.

">

Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding numerous patents and publications at prestigious scientific venues like ICML, ICLR, and AAAI.

">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.">
  • Stay current with the latest AI/ML research and translate innovations into product enhancements.">
">Required Skills 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">
  • 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.">
">Join Our Team Today">"]},

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