[Hiring] MLOps Engineer Manager @Capgemini

Role Description

This position leads the deployment, implementation, and optimization of machine learning pipelines to solve complex business challenges. The role involves both hands-on work and supervising a team to deliver effective machine learning engineering solutions for a line of business. The position applies in-depth knowledge of policies, procedures, and business objectives to make decisions and guide the team. Performs work independently while receiving limited guidance.

Key Responsibilities

• 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 the 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.
• Supports and maintains solutions in production (fixing bugs, making 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.

Qualifications

• 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.

Requirements

• 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 renowned group.
• Private Health Insurance.
• Pension Plan.
• Paid Time Off.
• Training & Development.