AI Solutions Engineer

5 days ago

Jodhpur, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
\AI Solutions Engineer\

In this role, you will design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.). You will also build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.

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Collaboration with cross-functional teams across the globe is key to integrating AI solutions into real-world products. Ensuring high-performance, scalable, and production-ready deployment using MLOps practices is crucial.

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Optimizing models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization) is expected. Contributing to research initiatives and adopting the latest innovations in LLMs, generative AI, and automation frameworks is a must.

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Key Responsibilities:

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  • \
  • Design and develop custom machine learning and deep learning models\
  • Build and maintain scalable AI/ML pipelines\
  • Collaborate with cross-functional teams\
  • Optimize models using advanced techniques\
  • Contribute to research initiatives\\
    • \
    • Requirements:\
      • \
      • Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field\
      • 5+ years of hands-on experience in developing AI/ML solutions\
      • Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face\
      • Proven track record in building and managing ML pipelines\
      • Proficiency in data preprocessing, feature engineering, and model evaluation techniques\
      • Hands-on experience with cloud AI/ML platforms\
      • Familiarity with containerization and orchestration\\
        • \
        • Preferred Skills:\
          • \
          • Experience in fine-tuning Large Language Models\
          • Exposure to real-time/streaming data processing\
          • Knowledge of microservices and API development\
          • Experience with generative AI and reinforcement learning techniques\\

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