Optimizing Model Performance and Scalability Specialist

3 days ago

Jodhpur, Rajasthan, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a seasoned Machine Learning Operations Engineer, you will be responsible for ensuring the smooth operation of our machine learning pipelines from data ingestion to model deployment.

Key Responsibilities:
  • Design and Implement Monitoring Systems: Develop and maintain monitoring systems using tools like Prometheus and Grafana to track model performance and identify areas for improvement.
  • Experiment Tracking and Workflow Orchestration: Utilize MLflow, Kubeflow, and Weights & Biases to manage experiments, track results, and orchestrate workflows.
  • Collaborate with Data Scientists: Work closely with data scientists to design, implement, and deploy machine learning models, ensuring seamless integration into our production environment.

With 7+ years of experience in machine learning operations, a strong background in programming languages like Python, and expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), you will be well-equipped to optimize model performance and scalability.

Requirements:
  • Experience in ML Ops: 7+ years of experience in machine learning operations, with a strong background in programming languages like Python.
  • Programming Skills: Proficiency in scripting languages, data engineering, and workflow orchestration.
  • Machine Learning Frameworks: Knowledge of TensorFlow, PyTorch, and Scikit-learn, with experience in designing and implementing machine learning models.

We are looking for a skilled Machine Learning Operations Engineer who can drive innovation by collaborating with our data science team and ensuring the smooth operation of our machine learning pipelines. If you have a passion for machine learning, data engineering, and operations, we would love to hear from you

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