AI/ML Solutions Deployment Specialist

3 days ago

Udaipur, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Machine Learning Engineer Opportunity

Achieve success as a seasoned AI/ML engineer with experience in building production-ready models, utilizing your expertise to deploy and manage AI/ML solutions on major cloud platforms.

Collaborate with cross-functional teams to implement machine learning models for various applications and automate model building, training, and deployment through CI/CD pipelines.

We seek a highly skilled ML engineer with strong MLOps background to design, develop, and maintain data pipelines, build and optimize machine learning models, and stay updated on new tools and techniques in machine learning and AI.

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.
  • Automating model building, training, and deployment by building CI/CD/CT Pipelines.
  • Stay updated on new tools and techniques in machine learning and AI.

Requirements:

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

What We Offer:

Dynamic work environment where you can utilize your skills to contribute to innovative projects. Collaborate with experienced professionals and expand your knowledge in machine learning and AI.

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