Sr Machine Learning Engineer (GCP)

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

About the Role:

We are on the lookout for a seasoned Senior Machine Learning Engineer to enhance our talented team. The role demands an individual with significant expertise in both Machine Learning engineering and infrastructure, with an emphasis on Machine Learning systems. A thorough knowledge of public cloud platforms, specifically GCP, is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.

What you will be doing:

• Develop and implement automation and DevOps methodologies, including CI/CD, Infrastructure as Code (IaC), and containerization, to establish a scalable Machine Learning infrastructure.
• Design and execute automation strategies, encompassing DevOps pipelines, scripting, and Terraform-based Infrastructure as Code.
• Engage actively in client sessions to understand and address their needs.
• Prepare and maintain detailed technical documentation.

Requirements:

• Experienced with machine learning frameworks (TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
• Expertise in public cloud services, particularly in GCP.
• Experienced working with vertexAI, Automl and other GCP AI and Machine learning services.
• Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems are critical.
• Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
• Has knowledge in containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications.
• Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
• Proven experience in engineering machine learning systems at scale.
• Strong programming abilities in Java and Python.
• Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.

Must Have:

• Google Google Cloud Professional level certification, Devops and machine learning.
• 4+ years of experience in customer-facing software/technology or consulting
• 4+ years of experience with “on-premises to cloud” migrations or IT transformations
• 4+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure
• Technical degree: Computer Science, software engineering or related