As an MLOps Engineer at Centric Software, you will be responsible for bridging the gap between data science and operations, ensuring seamless integration and efficient deployment of machine learning solutions. You will work closely with data scientists, software engineers, and DevOps teams to streamline the ML lifecycle and automate processes for model training, testing, deployment, and monitoring.  Responsibilities :   Architect scalable and reliable infrastructure for model training, testing, and deployment in collaboration with DevOps teams.  Work closely with data science teams to understand model requirements, assess feasibility, and optimize models for deployment.  Operate models in production : Establish monitoring and alerting systems to track model performance, detect anomalies, and ensure reliability.  Optimize resource allocation and utilization for model training and inference to maximize efficiency and cost-effectiveness.  Implement security best practices and ensure compliance with relevant regulations.  Stay updated with the latest advancements in ML technologies to drive innovation and best practices within the team.  Qualifications :   You completed your bachelor's degree or have equivalent experience in computer science, engineering, mathematics, or similar.  5+ years of hands-on experience in data science, DevOps, or data engineering roles.  Proficiency in ML frameworks such as TensorFlow, MLFlow, or scikit-learn.  Familiarity with infrastructure-as-code concepts and configuration management to evolve the existing infrastructure.  Expertise in monitoring and logging tools (Datadog, Prometheus, etc.).  Security-minded approach to infrastructure and model deployment.  Excellent problem-solving skills and attention to detail. Persuasive communication and collaboration abilities.  Fluent in English.  What we offer :   Competitive salary.  Flexible work schedule and remote work options.  Professional development opportunities.  Modern, collaborative, and innovative work environment.  Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information. Powered by JazzHR