Senior Machine Learning Engineer

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

Cybersecurity • Compliance • SaaS

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Develop and deploy Artificial Intelligence applications, including intelligent agents, ensuring code quality, scalability, and maintainability; • Build and expose inference endpoints for consumption by different applications and services; • Implement MLOps practices, including experiment tracking, model versioning, CI/CD and automated testing; • Develop and maintain data and training pipelines, including data validation, feature extraction and drift monitoring; • Integrate Machine Learning models with APIs, gateways, authentication mechanisms and observability tools; • Optimize performance and costs of training and inference processes through appropriate processing techniques and resource utilization; • Support and maintain AI solutions, assisting in incident resolution, root cause analysis and reliability improvements; • Produce technical documentation, diagrams and runbooks to support solution maintenance and evolution; • Participate in code reviews and knowledge-sharing initiatives across teams; • Collaborate with Product, Data, Platform and Engineering teams to define and implement solutions; • Ensure adoption of best practices for security, privacy, compliance and Responsible AI throughout the development lifecycle.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science or related fields, or equivalent experience; • Experience developing Machine Learning or Artificial Intelligence solutions; • Advanced knowledge of Python; • Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face or similar; • Knowledge of Generative AI and Agentic AI; • Experience with Prompt Chaining, Tool Calling and Human-in-the-loop approaches; • Knowledge of the full Machine Learning model lifecycle; • Experience with model deployment, serving and inference; • Knowledge of API development and consumption for model serving; • Experience with version control using Git; • Knowledge of experiment tracking and model monitoring; • Practical experience with MLOps concepts and practices; • Knowledge of software development best practices and production engineering; • Advanced/Fluent conversational English.

🏖️ Benefits

• Multi-benefits card – choose how and where to use it. • Scholarships for undergraduate, graduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Opportunity for international career development. • Wellhub and TotalPass. • Private pension plan. • Childcare allowance. • Health insurance. • Dental care. • Life insurance.