MLOps Engineer - DevOps and Platform Expert (Fully Remote)

About the Role

We are seeking an experienced MLOps Engineer to join our dynamic team in a fully remote capacity. As an MLOps Engineer, you will play a crucial role in designing, building, and supporting Machine Learning platforms that harness the power of AI capabilities. This position offers the opportunity to work on a variety of projects in the eGaming, trading, and payments sectors, providing you with a chance to make a significant impact in the tech consultancy and software development field.

What You'll Do

• Design and deploy high-quality, scalable platforms for running production Machine Learning software.
• Define the overall strategy and roadmap for Machine Learning and AI initiatives.
• Support platform deployments and CI/CD tools and processes.
• Collaborate with the Data Platforms team to enhance platform capabilities.
• Utilize your expertise in Kubernetes, KubeFlow, and various cloud services to optimize operations.

Requirements

• Proven experience as an MLOps Engineer with a strong background in DevOps.
• Good knowledge of cloud platforms such as AWS, Azure, GCP, and OpenStack.
• Strong experience with Kubernetes, Infrastructure as Code (IaC), and CI/CD practices.
• Hands-on experience with KubeFlow and Machine Learning frameworks.
• Proficient coding and scripting skills in Python and Bash.
• Solid understanding of software development and modern tech frameworks.
• Excellent Linux knowledge is a plus.

Nice to Have

• Experience with Spark, MLlib, TensorFlow, and FastAPI.
• Familiarity with Docker, Terraform, and Ansible.
• Knowledge of GitOps practices.

What We Offer

• Fully remote work environment with flexible hours.
• Competitive salary ranging from $120,000 to $150,000 per year.
• Opportunities for professional growth and development.
• Access to cutting-edge technologies and tools.
• Collaborative and innovative team culture.