Senior Machine Learning Engineer

About You 

Are you looking for an opportunity to work on meaningful cutting-edge projects in machine learning Did you wonder what it would be like to work at a company where your contribution has a real measurable impact and you are rewarded for it 

If you have a knack for data and aspire to contribute to ethical tech development then this is the perfect role for you! We value autonomy allowing you to bring your innovative ideas to fruition in an inclusive feedback-oriented environment. Your work on NLP will directly contribute to advancing corporate responsibility through technology.

Your Responsibilities 

As a Senior Machine Learning Engineer you will play a key role in developing and scaling state-of-the-art Machine Learning applications within RepRisks Entities team. You will contribute to the design implementation and operation of Machine Learning products as part of our global Data division. Moreover you will: 

• Design and implement advanced ML features that deliver measurable business value taking end-to-end ownership from ideation to production 

• Architect build and optimize multifaceted search engines that aggregate and retrieve data across multiple sources (meta-search) 

• Design scalable system architectures and drive technical decisions to ensure long-term maintainability and performance 

• Develop integrate and maintain microservices within larger applications 

• Apply and guide the adoption of the latest advancements in ML including Large Language Models (LLMs) 

• Train evaluate and optimize models for performance scalability and reliability in production environments 

• Mentor and support other ML engineers fostering a collaborative and high-performing engineering culture 

• Collaborate closely with ML engineers backend engineers and product owners to continuously improve the products acting as a technical lead in cross-functional initiatives 

• Contribute to a well-balanced tech stack prioritizing both simplicity maintanability and efficiency  

• Ensure high-quality maintainable code through thorough code reviews and engineering best practices  

• Actively contribute in Agile/Scrum processes sharing insights and feedback 

Qualifications :

You Offer 

• Masters degree (preferred) in Computer Science Engineering Statistics or a related STEM field  

• 5 years of hands-on experience as an ML Engineer in a production environment  

• Expert-level Python skills and strong proficiency in SQL 

• Proven experience developing and deploying NLP models information retrieval systems and search engines  

• Hands-on experience integrating AI and LLMs into ML pipelines  

• Strong foundation in software engineering best practices with a focus on clean maintainable and scalable code  

• Proven track record of designing and delivering scalable production-grade ML systems and architectures 

• Experience working with cloud platforms CI/CD workflows and containerized environments  

• Experience leading technical initiatives with a high degree of ownership and accountability 

• Strong mentoring skills and ability to support and guide more junior team members 

• Proactive mindset with the ability to take ownership drive solutions forward and navigate ambiguity 

• Strong analytical thinking structured problem-solving and highly efficient execution  

• Excellent communication skills and fluency in English  

Additionally the following are a plus:  

• Experience in low-code languages like C or Java 

• Experience working with AWS particularly SageMaker 

• Prior experience fine-tuning or training LLMs 

• Practical experience building and managing data pipelines 

Additional Information :

Please note that we will only consider candidates with a valid work permit. 

Remote Work :

No

Employment Type :

Full-time