Machine Learning Engineer

Position Overview

We are seeking a highly motivated Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI.

• Translate complex business problems into mathematical or computational models.
• Design, implement, and optimize machine learning algorithms and data mining workflows.
• Collaborate directly with customers to understand business needs, define requirements, and deliver proof‑of‑concept AI solutions.
• Build, integrate, and test AI‑driven prototypes and applications for real‑world use cases.
• Support internal teams by designing and implementing novel machine learning algorithms.
• Apply recent research breakthroughs to practical problems to create measurable business value.
• Contribute to continuous improvement of system scalability, performance, and explainability.
• Clearly communicate complex results and insights to both technical and non‑technical stakeholders.
• Work cross‑functionally with product, engineering, and research teams to drive AI adoption.

• Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field.
• 1–3 years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects).
• Strong background in machine learning, deep learning, data mining, and/or optimization.
• Proficiency with Python and machine learning libraries (e.g., PyTorch, Tensor Flow, scikit‑learn).
• Experience working with real‑world datasets, data preprocessing, and model deployment.
• Familiarity with cloud environments (AWS, Azure, GCP).
• Ability to translate abstract business challenges into concrete AI solutions.
• Strong analytical, problem‑solving, and mathematical modeling skills.
• Curiosity and initiative in exploring new AI techniques and applications.
• Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks.
• Write production‑grade Python code.
• Excellent communication and collaboration skills, especially in customer‑facing environments.
• Commitment to ethical and explainable AI practices.
• Familiarity with agile software development methods.

We are an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor.

This is a fixed‑term 6‑month paid contract. The role offers exposure to diverse problem domains and allows for variable working hours to accommodate a global team.

• Variable working hours with flexibility to collaborate with a global team.
• Constant learning and skill growth opportunities.
• Competitive benefits package and focus on employee health and well‑being.