Senior ML Engineer
2 weeks ago
This is an exciting opportunity for an experienced AI/ML engineer to join Infraveo in a remote position.
The ideal candidate will have a strong background in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Experience with cloud platforms like AWS, Azure, or Google Cloud is highly desirable, as well as knowledge of containerization using Docker and orchestration with Kubernetes.
The successful candidate will be responsible for designing, building, and maintaining scalable ML infrastructure using cloud platforms, developing and implementing CI/CD pipelines, and collaborating with data scientists, data engineers, and software engineers to integrate ML models into production systems.
Key Responsibilities:
- Design and implement scalable ML infrastructure using cloud platforms
- Develop and implement CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI
- Collaborate with data scientists, data engineers, and software engineers to integrate ML models into production systems
- Monitor and maintain the performance of ML models in production using monitoring tools like Prometheus, Grafana, or the ELK stack
- Manage the versioning and lifecycle of ML models using tools like MLflow, DVC, or TFX
Requirements:
- Ability to adapt to new technologies, tools, and methods in the rapidly evolving MLOps landscape
- Constant drive to innovate and apply the latest ML research to improve processes and solve complex problems
- Proficiency in Python and SQL for scripting, data manipulation, and programming using tools like Jupyter Notebooks and Pandas
- Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn for model development and training
Benefits:
- 5 days a week work schedule
- Flexible remote work arrangement
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