This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
A growing mid-market organization is expanding its AI capabilities and is seeking a Senior AI/ML Developer to help build and operationalize real-world AI solutions. This role is for someone who enjoys writing code, solving complex technical problems, and bringing AI models into production environments. You will play a key role in implementing machine learning and Generative AI capabilities while ensuring models are reliable, scalable, and properly integrated into enterprise systems. You will also partner closely with business teams that are building predictive models but need engineering expertise to deploy and operationalize them.
Job Responsibility:
Maintain and optimize existing ML and predictive models
Improve model retraining, validation, and monitoring
Strengthen modeling pipelines to ensure reliability and repeatability
Help design and implement real-world GenAI applications, including Retrieval-Augmented Generation (RAG), Prompt orchestration and evaluation, Monitoring and tuning LLM outputs
Integrate vendor-delivered GenAI capabilities into the organization’s data ecosystem
Building and maintaining data and AI pipelines
Integrating models with enterprise systems and APIs
Supporting CI/CD processes and model versioning
Ensuring solutions can scale in production environments
Partner with teams such as Actuarial and Underwriting
Help operationalize models built by business experts
Ensure models follow proper MLOps and governance standards
Implement monitoring and controls to ensure model performance and drift are tracked, systems remain reliable and cost efficient, AI solutions meet audit and governance requirements
Requirements:
7+ years of experience in AI engineering, machine learning, or software development
Strong programming skills in Python
Experience working with modern ML frameworks
Experience deploying models into production environments
Experience building data pipelines and API-based integrations
Ability to work in environments where requirements evolve quickly
Nice to have:
Experience with LLMs or Generative AI platforms
Exposure to RAG architectures or agent-based systems
Experience integrating vendor-delivered AI platforms
Background working in regulated industries
What we offer:
Base salary plus yearly bonus and long-term incentive plan