Artificial Intelligence Specialist

2 weeks ago

Delhi, Delhi, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Us

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We are a pioneering force in industrial automation and engineering, developing intelligent AI agents for the manufacturing and automotive sectors.

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Our team comprises researchers, technologists, entrepreneurs, and developers with a strong track record of innovation and excellence.

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Job Overview

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We seek a seasoned Machine Learning Engineer to design, build, and optimize ML models for intelligent requirement understanding and automation.

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You will develop scalable, production-grade AI pipelines and APIs, own the deployment lifecycle, and collaborate with data engineers and product teams.

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Key Responsibilities

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  • Design and develop ML models for intelligent requirement understanding and automation.">
  • Create 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 ML systems in production.">
  • Stay current with the latest AI/ML research and translate innovations into product enhancements.">
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Requirements

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  • 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 environment; proactive and curious mindset.">
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Preferred Skills

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  • 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.">
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What We Offer

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  • A competitive compensation package.">
  • The 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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