We are seeking an MLOps / DevOps Engineer with experience in cloud platforms and machine learning workflows. As part of the Digital Data Science team, you will support the development, automation, and deployment of next-generation ML models and data-driven solutions. Your work will directly impact how machine learning models are built, deployed, and scaled across production environments. You will collaborate closely with Data Scientists and Engineering teams to ensure seamless integration of ML workflows into scalable systems. This role requires a balance of technical skills, problem-solving abilities, and a proactive mindset to deliver efficient and reliable solutions. You will have the opportunity to contribute to high-impact projects for a Fortune 500 client while growing your expertise in modern MLOps practices.
Responsibilities
Building tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
Automating infrastructure deployments and tool configurations using Terraform or similar IaC tools
Writing clean, maintainable and testable code using Python, Go or other object-oriented programming languages (e.g., Java)
Troubleshooting and resolving issues related to ML workflow deployments in production environments
Generating and maintaining operational reporting pipelines using tools such as BigQuery, Looker and Tableau
Collaborating closely with Data Scientists to improve developer workflows and ensure seamless integration with tools
Working cross-functionally with global teams to support ML systems and deployments
Skills:
Hands-on experience with Vertex AI or similar platforms (e.g., Amazon SageMaker)
Understanding of ML models, model deployment, monitoring and scaling in production environments
Proficiency in Python (1-3 years of experience)
Basic experience with GCP or AWS
Experience with Kubernetes or other container orchestration platforms
Familiarity with CI/CD pipelines and infrastructure automation
Basic knowledge of SQL and reporting tools (BigQuery, Looker, Tableau)
Understanding of cloud technologies and distributed systems
Familiarity with security best practices in cloud and containerized environments
Ability to write unit tests and integration tests, delivering clean and reusable code
Strong problem-solving and debugging skills
Nice to Have
Experience with eCommerce / digital platforms
Exposure to Terraform or other Infrastructure as Code tools
Experience working with ML workflows and data pipelines
Familiarity with GenAI tools to optimize and automate processes
Experience collaborating in cross-functional teams (Data Science + Engineering)
Soft Skills
Pragmatism. Ability to prioritize, simplify and focus on delivering results
Proactive mindset. Takes ownership and initiative without needing constant direction
Strong communication skills to collaborate with technical and non-technical stakeholders
Ability to work in a fast-paced, dynamic environment
Attention to detail and strong analytical thinking
Education: B.S. or M.S. degree in Computer Science or comparable experience
We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz
