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 our new Machine Learning Engineer you will play a key role in developing 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 new ML features that deliver measurable business value 

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

• Develop integrate and maintain microservices within larger applications 

• Apply the latest advancements in ML including Large Language Models (LLMs) 

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

• Collaborate closely with other ML engineers backend engineers and product owners to continuously improve the products 

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

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

• Actively participate in Agile/Scrum processes contributing insights and feedback 

Qualifications :

You Offer 

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

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

• Expert-level Python skills and solid 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 

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

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

• 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