MLOps Engineer Manager

🕒 April 8

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models. • Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring. • Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models. • Implements real-time inference with high availability and low latency. • Creates strategic plans within span of control and implements them across one to two business domains. • Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows. • Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models) • Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems • Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders • Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports • Uses advanced knowledge of code management principles to follow architectural and governance guidelines

🎯 Requirements

• 5 years of experience required in deploying and managing machine learning pipelines, or related work. • Full English Fluency • Experience in a leadership role within a fast-paced, technology driven environment • Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports • Insurance (PLUS), Healthcare, heavily regulated, audit • Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries. • Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust • Familiar with DevOps practices and tools for continuous integration and deployment. (MUST) ** • Experience in Production Support (Maintaining Models, Bug Fixes) MUST • Collaborative with other areas, Translate, strong communication • Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior. (MUST) ** • Small volumes of data but fast execution • Automated software and Model Testing (how to know model is behaving properly) **

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally reknowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development