We’re Hiring: Machine Learning Engineer at DataSentics (Part-Time or Full-Time)

Are you passionate about Python and machine learning? Do you enjoy solving real-world problems with modern open-source tools and cloud technologies? If you’re a creative thinker who’s ready to build and deploy meaningful AI solutions, we’d love to hear from you.

What You’ll Do
As a Machine Learning Engineer at DataSentics, your focus will be on turning prototypes into scalable, reliable ML solutions. You’ll work closely with clients and cross-functional teams to design and build machine learning pipelines that deliver real business value — not just in notebooks, but in production.

• Engineer robust solutions: Develop and optimize end-to-end ML workflows using Python and PySpark, from data ingestion and transformation to model development.
• Test and validate: Run experiments and POCs to evaluate model performance and potential.
• Deploy and scale: Bring models into production with tools like Git, CI/CD, and model registries. You’ll work in cloud environment to automate deployment, monitor performance, and ensure maintainability.

Why Join Us?
At DataSentics, we’re a fast-growing team of data scientists, engineers, and consultants working on high-impact AI projects across industries. We combine deep technical skills with a practical, product-focused mindset.

Our Projects & Technology Stack

• We work on real-world challenges across diverse industries like banking, insurance, manufacturing, pharmaceuticals, and e-commerce, using a wide range of customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics. These are just a few examples, the scope of our work is broad and constantly evolving as new data and technologies emerge.
• Tech we love: Python, SQL, Pandas, PySpark, Databricks. We deploy on Azure, AWS and Google Cloud Platform.
• How we work: Small, focused teams (2–5 people), agile workflows, and strong collaboration between engineers, analysts, scientists, and PMs.
• Remote-first culture: Work where you’re the most productive, at home, in the office, or a mix of both. Most of our work happens remotely, with optional offices in Prague (near Muzeum metro) and Brno (ImpactHub).
• Flexible working: Part-time roles available starting at 30 hours/week.

What We’re Looking For

• Strong Python skills and hands-on experience with data processing and modeling.
• Familiarity with machine learning workflows and real-world datasets.
• Awareness of engineering best practices (such as version control, testing, and clean code).
• Experience in cloud-based environments is a plus.

What You’ll Get

• The chance to work on exciting, AI-powered solutions that make a real difference.
• A collaborative environment where learning and professional growth are a priority.
• Flexibility, remote work options, and a supportive team culture.

Curious to know more? If you’re excited about building ML solutions and working with a team that values learning and innovation, get in touch!