Senior/Middle Machine Learning Engineer (FinTech)

Top 3 reasons to join us

• Attractive salary package and valuable benefits
• Get the opportunity to access global L&D programs
• Hybrid and flexible working environment

Job description

HRS PAY is a “tech fin” in that we provide the technology that powers the payment workflow as well as delivers the highest level of available payment data to enable our customers to make intelligent decisions around their program spending. Only HRS PAY offers this powerful combination of automation, data optimization, and payment on-the-go technology all in one platform. 

We are looking for a (Senior) Machine Learning Engineer, who will be responsible for building and maintaining the next generation of our ML Product. You will have the power to lead your initiatives geared toward making the ML Engineers and Applied Scientists at HRS Fintech more productive.

• Work with a wid range of systems, processes, and technologies to own and solve problems from end-to-end.
• Assist in building back-end infrastructure, data pipelines, and ML models for our products.
• Experiment with ML techniques to create and test new program features.
• Assist in extending and improving existing ML models.
• Work alongside data engineers to create data and model pipelines and embed AI and analytics into the business decision processes.
• Integrate ML models to end-users and run experiments.
• Run tests, perform statistical analysis, interpret test results, and perform tuning and scaling.

Your skills and experience

• Bachelor's degree or higher in computer science, mathematics, or a related field.
• Experience with DevOps, MLOps, or LLMOps tools and methodologies, such as Git, Docker, Kubernetes, Jenkins, Airflow, Kubeflow, etc.
• Proficiency in Python, SQL.
• Solid understanding of fundamental statistics, probability theory, and the scientific method.
• Experience in deploying machine learning models to production environments, including containerization (e.g., Docker) and orchestration tools (e.g., Kubeflow, MLflow), for batch and real-time inference.
• Strong software engineering principles, including modular code design, code optimization, and familiarity with software development best practices.
• Practical working experience with Azure cloud technologies (Azure AI) is a plus.
• Experience with MLOps to build production-ready pipelines.
• Strong English verbal and written communication skills, with a high level of comfort explaining complex technical topics to stakeholders.

Why you'll love working here

• Open and flat environment, highly appreciate your idea and constantly supporting your skill development.
• Innovative and international learning and development program, we dedicate to supporting employees’ growth and development of skills.
• Challenging products with onsite opportunities in Europe (Germany, Australia, Poland, etc.)
• Full salary and benefits as an official employee on probation.
• 13th-month salary & short-term incentives: we offer incentives as defined by the company’s success in the previous year.
• 15+ annual leaves per year.
• Full healthcare compliance.
• Premium healthcare for employees.
• Gifts for every special occasion.
• Supportive working conditions: Laptop, MS Surface Hub.
• Free and unlimited snacks, tea, coffee, and by-choice request.
• Premium company trip & business traveling programs and other exciting activities.