Mlops Engineer - Mendoza, Argentina - Wakapi
Descripción
The Role:
Responsibilities:
- Design and implement infrastructure for deploying and managing ML models, mainly focused on AWS services. This involves choosing orchestration tools for automating the ML workflow.
- Containerize models to ensure consistency and portable deployment across environments.
- Setup monitoring and tracking systems to track the health of ML models in production.
- Automate the process of deploying ML models from dev to prod.
- Models' version control.
- Datasets version control.
- Collaborate with data scientists, AI engineers and data engineers to understand the models and their requirements.
- Document the ML workflows, including deployment procedures, monitoring practices, and retraining strategies.
- Implement security measures to protect sensitive information used in ML models and during deployment.
- Ensure data privacy regulations are adhered to throughout the ML lifecycle.
- Develop monitoring dashboards to visualize model performance and identify potential issues proactively.
Requirements:
- Bachelor or Masters degree in Computer Science.
- Experience of at least 5 years in DevOps and MLOps.
- Strong understanding of machine learning concepts, algorithms, and techniques.
- Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikitlearn.
- Experience in model development, training, evaluation, and optimization.
- Ability to translate machine learning models into productionready code.
- Deep knowledge of AWS services relevant to machine learning, such as Amazon SageMaker, AWS Lambda, AWS Glue, AWS Step Functions, AWS Batch, and Amazon EMR.
- Familiarity with AWS storage and database services such as Amazon S3, Amazon RDS.
- Expertise in containerization technologies such as Docker and container orchestration with Kubernetes.
- Proficiency in managing infrastructure as code using tools like AWS CloudFormation or Terraform.
- Experience in continuous integration and continuous deployment (CI/CD) pipelines for machine learning models.
- Ability to monitor and troubleshoot production machine learning systems, ensuring high availability, scalability, and performance.
- Understanding of DevOps principles and practices, including automation, version control, and collaboration.
- Excellent communication, collaboration, and problemsolving skills.
- AWS certifications relevant to machine learning and operations, such as AWS Certified Machine Learning
- Specialty, AWS Certified DevOps Engineer Professional, or AWS Certified Solutions Architect
- Professional, would be highly beneficial
Más ofertas de trabajo de Wakapi
-
Ios Software Engineer
Mendoza, Argentina - hace 4 días
-
Full-satck Developer Node/react
Mendoza, Argentina - hace 1 semana
-
NET Developer
Mendoza, Argentina - hace 5 días
-
Android Software Engineer
Mendoza, Argentina - hace 1 semana
-
PHP Full Stack Developer
Mendoza, Argentina - hace 1 día
-
Business Partner
Mendoza, Argentina - hace 1 semana