MLOps DevOps Engineer
MLOps DevOps Engineer
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INR INR 2900000 - 3100000
1 Vacancy
Job Description
Role Details
- Experience: 7 9 Years
- Location: Bangalore or Remote
Responsibilities
- Design implement and maintain MLOps pipelines to support endtoend machine learning workflows.
- Build scale and troubleshoot production systems on AWS cloud infrastructure.
- Develop and maintain DevOps pipelines using CI/CD best practices for reliable deployment of ML systems.
- Work extensively with Docker and Kubernetes to containerize and orchestrate applications in cloud environments.
- Set up and manage workflow orchestration frameworks such as Kubeflow Airflow or Argo.
- Collaborate with data scientists and engineers to translate business needs into technical requirements.
- Automate cloudbased system integrations using APIs and custom solutions.
- Develop and optimize machine learning models using frameworks like PyTorch TensorFlow and Keras.
- Implement monitoring benchmarking and testing strategies to ensure system performance and reliability.
Requirements
- Core Skills:
- Proven experience as a Platform Engineer MLOps Engineer or Data Engineer.
- Strong programming skills with proficiency in Python and experience in multilanguage systems.
- Solid understanding of Linux administration and cloud computing infrastructure (AWS preferred).
- Handson experience with Docker and Kubernetes in production environments.
- Familiarity with workflow orchestration frameworks like Kubeflow Airflow or Argo.
- Knowledge of machine learning methodology and best practices.
- Experience in deep learning frameworks (e.g. PyTorch TensorFlow Keras).
- Exposure to database systems and APIdriven integrations.
- Ability to independently set up MLOps pipelines from scratch.
Soft Skills
- Strong problemsolving abilities and attention to detail.
- Excellent communication skills for crossfunctional collaboration.
- Ability to work in a fastpaced dynamic environment.
- Opportunity to work on cuttingedge MLOps and DevOps projects.
- Flexible location options: Bangalore or Remote.
- A collaborative and growthoriented work culture.
kubeflow,tensorflow,machine learning,api development,apis,airflow,devops,python,deep learning models,kubernetes,keras,troubleshooting,pytorch,ci/cd,operations,argo,aws,docker,linux,mlops,software testing
Employment Type
Full Time
Company Industry
Key Skills
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