Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.
MLOps Engineer
Remote
UE
B2B
Senior
Implement and fine-tune GenAI models and pipelines to enhance performance and accuracy
Deploy and manage machine learning models in production environments using MLOps best practices
Monitor and maintain the health, performance, and accuracy of deployed models to ensure they meet operational standards
Ensure efficient and scalable deployment of models while optimizing resource usage
Evaluate the performance of large language models within specific domains to ensure relevance and effectiveness
Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver tailored solutions
Communicate technical concepts and project status effectively to non-technical stakeholders
Seamlessly integrate GenAI models with existing systems and workflows to enhance overall functionality
Engage in consulting projects of varying durations, from simple proofs of concept to production-grade solutions
Develop and maintain scalable MLOps infrastructure, including continuous integration and deployment (CI/CD) pipelines, version control systems, and automated testing processes
Manage cloud-based infrastructure and resources for model training and deployment, ensuring optimal performance and efficient use of resources
Stay updated on MLOps and GenAI advancements, ensure models and data pipelines meet regulatory and security standards, and uphold ethical AI practices
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company
Chance to participate in interesting projects and work with the latest information technologies
Attractive remuneration rates offered
Involvement in the most prestigious international projects
Access to Multisport benefits and private healthcare services
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
Proficiency in programming languages such as Python or R
Experience with machine learning integration frameworks like Langchain, Llamaindex, or similar
Strong understanding of MLOps principles, including CI/CD, version control, and automated testing
Familiarity with cloud platforms such as AWS, GCP, or Azure and their MLOps tools (e.g., SageMaker, Vertex AI, Azure ML Studio)
Proven experience in deploying and managing machine learning models in production environments
Track record of working in complex consulting engagements and delivering enterprise solutions
Commitment to ethical AI practices and addressing biases
Hands-on experience with GenAI technologies and applications is a plus
Strong background in data engineering and pipeline development
Excellent problem-solving abilities and attention to detail
Strong communication and collaboration skills, with the ability to work independently and as part of a team
Experience with Kubernetes and containerization
Knowledge of data governance and compliance standards
