Senior MLOps Engineer

Senior MLOps Engineer – Machine Learning in Production We are looking for a talented Senior MLOps Engineer to join a forward-thinking technology consultancy. This is an exciting opportunity for someone passionate about building and maintaining machine learning systems in production environments, with a blend of software engineering, ML expertise, and operational know-how. About the Role: You will design, develop, and implement scalable and reliable systems for deploying machine learning models into production. You’ll work closely with cross-functional teams, translating complex ML concepts into actionable solutions, automating processes, and ensuring models perform at their best throughout the ML lifecycle. Key Responsibilities: • Build and deploy ML models into production, ensuring scalability and reliability. • Architect and maintain tools and pipelines to enhance the Model Development Life Cycle (MDLC). • Implement CI/CD pipelines for seamless updates and releases of ML models. • Monitor system health, model performance, and data drift, with robust alerting systems. • Collaborate with stakeholders to understand requirements and provide clear technical guidance. Requirements: • 5+ years of experience in MLOps or similar roles. • Hands-on experience delivering and leading data science and ML projects. • Experience with Databricks or similar platforms. • Cloud expertise in AWS, Azure, or GCP, including cloud architecting for ML. • Strong programming skills: Python, Java, or Scala. • Containerization and orchestration experience: Docker, Kubernetes. • DevOps and monitoring tools: Jenkins, Ansible, Grafana, Prometheus, Elastic. • Familiarity with CI/CD deployment practices and automated testing. • Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar. • Excellent ability to communicate complex technical concepts to non-technical audiences. This role is ideal for someone who is curious, collaborative, and driven to implement ML solutions that make an impact.