Senior MLOps Engineer

IF YOU ARE

• A holder of a master's degree in computer science or a related field
• Having 6+ years of relevant experience
• Hands‑on with Python and traditional Python data science and machine learning (DS/ML) stack
• An expert in ML solutions, design patterns, and operationalization
• Skilled with AI/ML and data engineering tools in any major cloud platform
• Familiar with setting up continuous integration, continuous delivery, and continuous testing (CI/CD/CT) pipelines for ML
• Well‑versed in Kubeflow, MLflow, or similar
• Competent with containers and container orchestration platforms (Kubernetes)
• Experienced with Databricks platform
• Experience working with healthcare data – it would be a plus
• Strong in requirements gathering and estimation
• Experienced with designing and building feature stores
• Knowledgeable of the Hadoop ecosystem and Apache Spark
• Familiar with workflow orchestration platforms such as Airflow
• Demonstrating an upper‑intermediate English level to cover daily project needs

• Communicate use cases, requirements, and expectations with stakeholders
• Guide engineering and data science teams through the ML systems production lifecycle
• Collaborate with Data Science teams on model operationalization strategies
• Work closely with product teams to deliver and operate ML systems
• Implement end‑to‑end production pipelines for ML solutions
• Support and continuously enhance ML software infrastructure, including CI/CD, data stores, cloud services, network configuration, security, and system monitoring
• Set up scalable monitoring systems for data pipelines and ML models
• Operationalize AI solutions by applying best practices in machine learning, MLOps, Dev Ops, and software engineering
• Maintain synergy among data scientists, Dev Ops, and ML Engineers to build infrastructure, set up processes, and productize machine learning pipelines
• Work as a consultant on different projects with a flexible schedule

• Be part of a team shaping the future of AI and data science through innovation and shared growth
• Advance the frontier of Agentic AI by shaping intelligent multi‑agent ecosystems that drive autonomy, scalability, and measurable business value
• Have access to world‑class training, cutting‑edge research, and collaborate with top industry partners
• Maintain synergy among Data Scientists, Dev Ops team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Communicate with the world‑leading companies from our logos portfolio
• Enjoy the opportunity to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting‑edge technologies
• Have access to powerful educational and mentorship programs
• Revolutionize the software industry and drive innovation in adaptive self‑learning technologies by leveraging multidisciplinary expertise

Soft Serve is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.