AI Solutions Developer

1 day ago

Coimbatore, Tamil Nadu, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,50,000

Job Title: AI Expert

Job Description

We're seeking an expert in artificial intelligence to develop innovative solutions for industrial automation and engineering.

  • Design, build, and optimize AI 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 AI systems in production.
  • Stay current with the latest AI research and translate innovations into product enhancements.
Requirements
  • 3+ years of experience in 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 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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