Senior Software Engineer

About the role

The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.

Job Description

• Train and fine-tune machine learning models using LoRA and other parameter-efficient fine-tuning techniques.
• Design, develop, train, and evaluate multimodal AI models from the ground up.
• Apply reinforcement learning (RL) techniques to improve model performance and optimize outcomes.
• Develop solutions for audio and speech machine learning tasks, including:
  • Speaker diarization
  • Speaker identification
  • Speech-related AI applications
• Optimize model inference pipelines using techniques such as:
  • TensorRT
  • Quantization
  • Pruning
• Deploy, troubleshoot, and maintain distributed AI systems in cloud environments.
• Monitor production models and ensure operational reliability by:
  • Detecting and addressing data drift
  • Managing model degradation
  • Resolving system failures
• Gather, clean, curate, and maintain high-quality datasets for model training and evaluation.
• Work within gated Continuous Integration/Continuous Deployment (CI/CD) workflows, ensuring appropriate:
  • Unit testing
  • Component testing
  • Integration testing

Required Qualification

• Extensive experience and deep understanding of digital and broadcast production operations and workflows.
• 5+ years of experience with AWS Cloud Services.
• 1+ year of experience with Microsoft Azure Cloud Services.
• Strong understanding of industry trends, emerging technologies, and best practices.
• Proven experience creating architecture documentation using the C4 Model and other traditional design artifacts.
• Experience working in Agile development environments.
• Demonstrated ability to define technical direction and deliver large-scale, strategic initiatives.

Desired Qualification

• 7+ years of programming experience in one or more of the following languages: Python, Java, Golang, JavaScript.
• Experience with broadcast production systems or video content management platforms.
• Familiarity with modern web technologies, including: React, Angular, JavaScript, HTML, CSS.
• Experience with Continuous Integration and Continuous Deployment (CI/CD) practices.
• Knowledge of containerization and orchestration technologies, including: Docker, Kubernetes.
• Bachelor's degree in: Computer Science (CS), Electrical Engineering (EE) or equivalent professional experience.

Pay

The base compensation range for this role in the posted location is: $73,150 to $174,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F)
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

Other benefits as provided by local policy and eligibility.