MLOps Engineer

Company DescriptionCozen Technology Solutions Inc. is a leading IT services provider focused on delivering transformative and affordable digital solutions across various industries. With decades of expertise and a strong emphasis on efficiency and innovation, we empower businesses to optimize their operations and stay ahead in the rapidly evolving digital landscape. Our diverse competencies include application development, artificial intelligence, cloud solutions, data management, cybersecurity, and business intelligence. Guided by our commitment to reliability and adaptability, we craft tailored solutions to meet the unique needs of our clients. Join us and be part of a team that transforms challenges into opportunities through cutting-edge technology and strategic collaborations.Role DescriptionThis is a on-site role for an MLOps Engineer based in Chicago, IL. The MLOps Engineer will oversee the deployment and operationalization of machine learning models, ensuring seamless integration of AI/ML solutions into the production environment. Daily responsibilities include developing and maintaining CI/CD pipelines for machine learning, monitoring model performance, optimizing data pipelines, automating workflows, and collaborating with data scientists, software developers, and DevOps teams to enhance machine learning operations. This role plays a critical part in driving operational efficiency, scalability, and resilience for technology solutions.QualificationsProficiency in deploying and managing machine learning models, with knowledge of MLOps frameworks and best practices.Experience in building and maintaining CI/CD pipelines, containerization tools (e.g., Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).Strong programming skills in Python, SQL, and other relevant languages, with expertise in automation and scripting.Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn and managing model lifecycles.Solid understanding of data engineering, data pipelines, and big data tools (e.g., Spark, Kafka).Knowledge of system monitoring, logging tools, and troubleshooting production issues effectively.Strong collaboration and communication skills to work across multi-functional teams, including data scientists and developers.Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Relevant certifications are a plus.Experience in the IT, AI/ML, or cloud services industry is advantageous.A proactive and problem-solving mindset with a commitment to innovation and excellence.