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Mlops Engineer Jobs
Company | neXt Era Technologies |
Address | Jakarta Raya, Indonesia |
Employment type | OTHER |
Salary | |
Expires | 2023-09-06 |
Posted at | 8 months ago |
neXt Era Technologies is an innovative company that leverages cutting-edge technology and data-driven solutions to transform and digitally transform our clients business operations. We are committed to delivering innovative products and services that drive growth and efficiency for our clients. As we continue to expand, we are seeking a talented MLOps Engineer to join our dynamic team and contribute to our success.
:
We are looking for a skilled MLOps Engineer to join our team and support the development and deployment of machine learning models and algorithms. As an MLOps Engineer, you will play a crucial role in bridging the gap between data science and software engineering, ensuring the seamless integration and operationalization of machine learning models into our production systems.
Responsibilities:
- Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy robust machine learning pipelines and models.
- Design, implement, and maintain scalable and reliable MLOps infrastructure and frameworks.
- Build and optimize data ingestion, data preprocessing, and model training pipelines.
- Develop and implement monitoring and alerting systems to ensure the performance, availability, and reliability of machine learning models in production.
- Continuously improve and automate the model deployment process, including versioning, testing, and rollback strategies.
- Work closely with cross-functional teams to identify and address performance bottlenecks and scalability challenges.
- Stay up-to-date with the latest advancements in MLOps tools, technologies, and best practices, and proactively recommend improvements to enhance our ML operations.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as an MLOps Engineer or similar role, with a strong understanding of machine learning concepts, algorithms, and frameworks.
- Proficiency in programming languages such as Python, Java, or Scala, along with experience working with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid knowledge of cloud platforms (e.g., Google Cloud, AWS, Azure) and experience with containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Strong understanding of software engineering principles and best practices, including agile methodologies and test-driven development.
- Excellent problem-solving skills and the ability to troubleshoot complex issues in production environments.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred Qualifications:
- Experience with big data technologies and distributed computing frameworks.
- Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and configuration management systems.
- Familiarity with data governance, security, and compliance standards.
Joining neXt Era Technologies as an MLOps Engineer offers an exciting opportunity to work on cutting-edge projects, collaborate with talented professionals, and contribute to the advancement of our industry-leading solutions. We provide a competitive salary, comprehensive benefits package, and a supportive work environment that encourages growth and development.
If you are passionate about transforming machine learning models into production-ready systems and enjoy working in a fast-paced, innovative environment, we would love to hear from you. Apply now and be part of our exceptional journey!
To apply, please submit your resume and cover letter to [email protected].
:
We are looking for a skilled MLOps Engineer to join our team and support the development and deployment of machine learning models and algorithms. As an MLOps Engineer, you will play a crucial role in bridging the gap between data science and software engineering, ensuring the seamless integration and operationalization of machine learning models into our production systems.
Responsibilities:
- Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy robust machine learning pipelines and models.
- Design, implement, and maintain scalable and reliable MLOps infrastructure and frameworks.
- Build and optimize data ingestion, data preprocessing, and model training pipelines.
- Develop and implement monitoring and alerting systems to ensure the performance, availability, and reliability of machine learning models in production.
- Continuously improve and automate the model deployment process, including versioning, testing, and rollback strategies.
- Work closely with cross-functional teams to identify and address performance bottlenecks and scalability challenges.
- Stay up-to-date with the latest advancements in MLOps tools, technologies, and best practices, and proactively recommend improvements to enhance our ML operations.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as an MLOps Engineer or similar role, with a strong understanding of machine learning concepts, algorithms, and frameworks.
- Proficiency in programming languages such as Python, Java, or Scala, along with experience working with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid knowledge of cloud platforms (e.g., Google Cloud, AWS, Azure) and experience with containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Strong understanding of software engineering principles and best practices, including agile methodologies and test-driven development.
- Excellent problem-solving skills and the ability to troubleshoot complex issues in production environments.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred Qualifications:
- Experience with big data technologies and distributed computing frameworks.
- Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and configuration management systems.
- Familiarity with data governance, security, and compliance standards.
Joining neXt Era Technologies as an MLOps Engineer offers an exciting opportunity to work on cutting-edge projects, collaborate with talented professionals, and contribute to the advancement of our industry-leading solutions. We provide a competitive salary, comprehensive benefits package, and a supportive work environment that encourages growth and development.
If you are passionate about transforming machine learning models into production-ready systems and enjoy working in a fast-paced, innovative environment, we would love to hear from you. Apply now and be part of our exceptional journey!
To apply, please submit your resume and cover letter to [email protected].
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