Machine Learning Engineer
4 weeks ago
At Amber Labs, we are a cutting-edge technology consultancy that prioritizes empowering autonomy, promoting experimentation, and facilitating rapid learning to deliver exceptional value to our clients. Our company culture is centered around collaboration, where all colleagues work together to minimize risk and shorten delivery times.
Key Responsibilities:- Design, implement, and manage CI/CD pipelines for ML models, ensuring smooth deployment to production environments.
- Automate end-to-end machine learning workflows, including data preparation, training, model validation, and deployment.
- Collaborate with data scientists, machine learning engineers, software developers, and DevOps teams to ensure scalable, reliable, and secure ML model deployments.
- Set up and maintain cloud-based or on-premise ML infrastructure using platforms like AWS, Azure, GCP, or Kubernetes.
- Optimize resource usage and manage costs related to ML workloads.
- Implement and maintain logging, monitoring, and alerting for deployed models to ensure reliability and performance.
- Ensure data privacy, security, and compliance are maintained throughout the ML lifecycle.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in MLOps, DevOps, or software engineering roles with a focus on machine learning or AI.
- Strong experience with cloud platforms (AWS, Azure, GCP) and tools for deploying ML models.
- Proficiency in programming languages such as Python and familiarity with ML libraries and frameworks.
- Knowledge of data versioning and tracking tools like MLflow, DVC, or similar.
- Experience with monitoring tools like Prometheus, Grafana, or similar.
At Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
We are committed to building a workplace that reflects and celebrates the diversity of our employees and communities.
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