Artificial Intelligence Software Engineer

2 weeks ago

Solapur, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 25,00,000 - ₹ 35,00,000

We're building the future of industrial automation by developing intelligent AI agents tailored for manufacturing and automotive sectors.

Our team includes researchers, technologists, and developers with 15 patents and 20+ publications at ICML, ICLR, and AAAI.

We're pioneering collaborative requirement assessment in industry. Our deep industry expertise, OEM partnership with Siemens, multi-patented AI technologies, and VC backing make us the thought leaders in requirement intelligence.

Key Responsibilities:

  • Design, build, and optimize ML 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.
  • Collaborating with data engineers and product teams to ensure data integrity, performance, and scalability.
  • Working on large-scale data processing and real-time pipelines.
  • Contributing to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
  • Analyzing and improving the efficiency and scalability of ML systems in production.
  • Staying current with the latest AI/ML research and translating innovations into product enhancements.

Requirements:

  • 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:

  • 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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