Cloud AI/ML Solutions Engineer

2 days ago

Dindigul, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

As a highly skilled machine learning engineer with a focus on MLOps, you will play a key role in designing and deploying scalable AI/ML solutions.

Key Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • 3-5 years of hands-on experience in AI/ML engineering and Python, with a strong focus on building production-ready models.
  • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques.
  • Proven ability to deploy and manage AI/ML solutions on major cloud platforms.
  • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
  • Expertise in MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, containerization using Docker and Kubernetes, and OpenShift.

Key Responsibilities:

  • Prepare, clean, and process large datasets; build and maintain data pipelines.
  • Develop and implement machine learning models for various applications (classification, regression, clustering, recommendations, etc.).
  • Engineer features and optimize model performance through hyperparameter tuning and validation.
  • Automate model building, training, and deployment by building CI/CD/CT pipelines.
  • Stay updated on new tools and techniques in machine learning and AI.

Benefits include working with cutting-edge technology, opportunities for professional growth, and collaboration with experienced professionals in the field.

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