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ML-ops Engineer
Metafolks
posted 2hr ago
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Flexible timing
Key skills for the job
Job Description
We are seeking an experienced Machine Learning Engineer with 6+ years of expertise to join our dynamic team. The ideal candidate will possess in-depth knowledge of machine learning frameworks and tools, coupled with experience in deploying and managing ML models at scale. This is a remote position offering the opportunity to work on challenging projects in a collaborative environment.
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines using TensorFlow, PyTorch, and Scikit-learn.
- Build and optimize ETL workflows for large-scale data processing.
- Integrate and manage CI/CD pipelines for seamless model deployment.
- Collaborate with cross-functional teams to define requirements and deliver high-quality ML solutions.
- Containerize ML applications using Docker and manage orchestration with Kubernetes.
- Leverage cloud platforms (AWS, Azure) for scalable ML model training and deployment.
- Implement and manage distributed computing frameworks like Apache Spark.
- Monitor and improve model performance, addressing issues like drift and retraining.
- Document best practices, frameworks, and workflows to support knowledge sharing within the team.
Required Skills and Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- 6+ years of experience in machine learning engineering and deployment.
- Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Proficiency in cloud platforms such as AWS and Azure.
- Hands-on experience with Docker and Kubernetes for containerization and orchestration.
- Expertise in CI/CD tools like Jenkins and version control systems like Git.
- Solid understanding of ETL processes and distributed computing frameworks such as Apache Spark.
- Strong problem-solving skills and the ability to work effectively in a remote setting.
- Excellent communication skills to collaborate with cross-functional teams and stakeholders.
Preferred Skills:
- Experience with MLflow for model tracking and monitoring.
- Familiarity with data versioning tools and feature stores.
- Knowledge of infrastructure-as-code tools like Terraform or Ansible.
- Certification in relevant cloud platforms or ML-related domains.
- Awareness of ethical considerations and data privacy regulations in ML.
Employment Type: Full Time, Permanent
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