AI Data Solution Engineer

For our Client, we are looking for an experienced professional to lead advanced AI and data-driven initiatives within a fast-growing, technology-focused environment. This role combines project leadership, technical understanding, and close collaboration with multidisciplinary teams to deliver high-quality AI and data solutions from concept to production.

What we offer:

• A B2B cooperation model with Get IT Together.

• Long-term cooperation.

• Remote work model.

• Access to all necessary work tools.

• Opportunity to work in international environment, on projects for a fast-growing, AI-innovation-based startup.

• Continuous professional development and growth opportunities.

Key Responsibilities:

• Translate business and technical requirements into scalable data and AI solutions.

• Collaborate with commercial and delivery teams to assess feasibility, define scope, and support pre-sales activities.

• Design, build, and maintain data pipelines, evaluation frameworks, and quality controls supporting AI-driven workflows.

• Develop, validate, and enhance datasets, including synthetic data used for model training and testing.

• Support deployment and operationalisation of machine learning solutions in production environments.

• Resolve technical challenges, optimise existing processes, and improve delivery efficiency.

• Contribute to the evolution of internal standards, tools, and methodologies.

• Identify opportunities to extend project scope and add long-term value for clients.

Required Skills & Experience:

• At least 5 years of hands-on experience in data science, data engineering, or closely related roles.

• Strong command of Python and SQL, with practical experience using analytical and visualization libraries such as pandas, Plotly, Streamlit, or Dash.

• Experience working with machine learning systems, including model deployment and evaluation.

• Ability to work with APIs and interpret technical documentation effectively.

• Strong analytical thinking, problem-solving skills, and the ability to communicate complex topics clearly to both technical and non-technical stakeholders.

• Proficient English and international working experience.