Machine Learning Specialist

4 days ago

Noida, India Dailoqa Full time

We are seeking a talented and innovative Machine Learning Specialist to join our Data AI company. As a key member of our team, you will design, develop, and deploy cutting-edge machine learning solutions to solve complex business problems.


Role Overview

As an MLOps Engineer / Specialist, you will bridge the gap between data science and IT operations, ensuring seamless integration of machine learning models into our operational workflows. You will work closely with data scientists, software engineers, and DevOps teams to automate and streamline the entire machine learning lifecycle


Key Responsibilities

  1. Design and implement cloud-based MLOps solutions on platforms such as AWS, Azure, or GCP
  2. Develop and maintain CI/CD pipelines for machine learning models using tools like GitLab CI, GitHub Actions, or Circle CI
  3. Automate model deployment, monitoring, and retraining processes
  4. Containerize models using Docker and deploy them on cloud platforms
  5. Set up monitoring tools to track metrics such as response time, error rates, and resource utilization
  6. Collaborate with data scientists to review, refactor, and optimize machine learning code
  7. Implement version control and governance for models and data


Required Qualifications :

·      Bachelor's degree in Computer Science, Software Engineering, or a related field

·      3-7 years of experience in MLOps, DevOps, or related roles

·      Strong programming skills in Python, with experience in Go, Ruby, or Bash as a plus

·      Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform

·      Experience with MLOps frameworks such as Kubeflow, MLflow, or Airflow

·      Solid understanding of Docker, Kubernetes, and container orchestration

·      Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch

·      Strong knowledge of Linux operating systems


Desired Skills:

·      Experience with experiment tracking and model versioning tools

·      Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect

·      Familiarity with software testing and test automation practices

·      Understanding of ethical considerations in machine learning deployments

·      Strong problem-solving skills and ability to work in a fast-paced environment

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