Expert Machine Learning Engineer

1 week ago

Hyderabad Secunderabad Telangana Gurgaon Gurugram, India beBeeMachine Full time

Job Title: Expert Machine Learning Engineer

About the Job:

We are seeking an experienced Machine Learning Engineer to join our team. The successful candidate will have a strong background in building and deploying machine learning models, as well as hands-on experience with various tools and technologies.

Key Responsibilities:
  • Model Development: Design, build, and deploy scalable machine learning models using Python and various libraries such as ENSO, Kubeflow or MLFlow.
  • Data Preparation: Prepare and analyze large datasets to train and validate machine learning models.
  • Model Training and Validation: Train and validate machine learning models using various algorithms and techniques.
  • Containerization and Deployment: Containerize machine learning models using Docker and deploy them using Kubernetes, Openshift, or other container orchestration platforms.
  • Monitoring and Maintenance: Monitor and maintain machine learning models in production, including data quality checks, model performance monitoring, and issue resolution.
Required Skills and Qualifications:
  • Programming Languages: Proficiency in Python and experience with other programming languages such as Java, C++, or R.
  • Machine Learning Libraries: Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Data Storage and Management: Familiarity with NoSQL databases such as MongoDB or Document DB.
  • Containerization and Orchestration: Experience with containerization using Docker and orchestration using Kubernetes, Openshift, or other platforms.
  • Monitoring and Logging: Knowledge of monitoring and logging tools such as Splunk, Grafana, or Prometheus.
What We Offer:
  • Competitive Salary: A competitive salary based on industry standards.
  • Opportunities for Growth: Opportunities for career growth and professional development.
  • Collaborative Environment: A collaborative and dynamic work environment.
How to Apply:

Please submit your resume and cover letter to apply for this position. We look forward to hearing from you

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