Senior Machine Learning Engineer

Akeneo is the Product Experience (PX) company and global leader in Product Information Management (PIM), creating a world where every product interaction is an experience that guides consumers and professionals to the best purchase, anytime, anywhere.

We’re all about experience - from the best-in-class product we build to the inspiring environment we create for our employees. You’ll grow in a dynamic environment where your ideas and expertise will make an impact from day one. Our flexible work model empowers you to thrive, balancing professional success with personal fulfillment. At Akeneo, you’ll be part of a supportive and collaborative team that values open communication, shared successes, and meaningful relationships.

Learn more about our culture and values via our Career page.

Job Description

We are seeking a talented Senior Machine Learning Engineer to join our Core AI team at Akeneo. Our mission is to identify, experiment with, and develop cutting-edge AI models that enhance both customer experience and product experience within our PIM solutions. As a cross-functional team, we collaborate with various Impact Teams to integrate AI-powered features into our products, ensuring that our customers benefit from the latest advancements in machine learning and artificial intelligence.

At Akeneo, engineers work across the full stack while maintaining deep expertise in their preferred discipline, whether that’s AI/ML, backend, or infrastructure. We embrace a ‘you build it, you run it’ philosophy, meaning you'll own AI-driven features from development through production and long-term maintenance, while having the opportunity to contribute across our entire platform.

You will report directly to the Impact Owner of the Core AI team, collaborating closely with engineers, product managers, designers, data scientists, and external stakeholders.

Responsibilities

• AI Model Development & Integration: Design, implement, and optimize AI/ML models to enhance product experience and customer experience (e.g., developing an LLM-powered product classification model to improve catalog enrichment accuracy). Work on integrating AI-driven solutions into Akeneo’s PIM system, ensuring scalability and efficiency (e.g., implementing automated product attribute extraction using computer vision models).
• AI Infrastructure & MLOps: Develop and maintain AI infrastructure, ensuring efficient model training, deployment, and monitoring (e.g., setting up an ML pipeline using Kubernetes and Terraform to automate model retraining and deployment). Leverage GCP, Kubernetes, and Terraform to build scalable and robust AI services.
• Impact & Customer Centricity: Collaborate with product teams and designers to define, prototype, and deploy AI-driven solutions that solve real customer problems (e.g., participating in customer calls to gather feedback on AI-powered recommendation features). Identify areas where AI can improve customer workflows and drive the adoption of AI-based solutions within Akeneo’s products.
• Code Quality & System Reliability: Write clean, maintainable, and efficient code, following best practices in software engineering and AI/ML development. Ensure AI models are performant, explainable, and auditable (e.g., implementing bias detection and explainability features in AI models).
• Team Work & Knowledge Sharing: Participate in code reviews and provide constructive feedback to other developers (e.g., reviewing pull requests for an AI-powered search ranking algorithm). Collaborate with data scientists and backend engineers to bridge the gap between research and production.
• Mentorship & Innovation: Mentor engineers in AI and ML best practices, guiding less experienced team members through technical challenges. Stay up-to-date with emerging AI/ML trends and technologies, bringing innovative ideas to enhance Akeneo’s AI strategy (e.g., researching and proposing the adoption of foundation models for automated catalogue enrichment).

Qualifications

Experience:

• You have 6+ years of experience in software development, with at least 3+ years of experience in AI/ML development and a strong background in AI/ML model development, deployment, and optimization within a SaaS environment.

Technical Expertise:

• Expertise in Python, Go, or PHP for AI/ML and backend development, with hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face

• Strong knowledge of MLOps practices, including model versioning, monitoring, and CI/CD pipelines.

• Experience working with GCP, Kubernetes, Terraform, and Datadog for AI infrastructure.

• Understanding of data pipelines, feature engineering, and AI ethics.

Track Record:

• Proven ability to deliver AI/ML-powered features end-to-end, from research and prototyping to production deployment.

• Experience optimizing AI models for performance and cost efficiency in cloud environments.

Communication Skills:

• Ability to explain complex AI/ML concepts to non-technical stakeholders.

• Strong collaboration skills, working effectively with cross-functional teams.

Adaptability & Mindset:

• Passion for customer-driven AI innovation and solving real-world problems with AI.

• Ability to handle uncertainties and adapt to changing requirements in a fast-paced environment.

Mentorship & Leadership:

• Experience mentoring engineers and promoting AI/ML best practices within an organization.