Prague I Brno
Part-Time I 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 youre a creative thinker whos ready to build and deploy meaningful AI solutions wed love to hear from you.
What Youll Do
As a Machine Learning Engineer at DataSentics your focus will be on turning prototypes into scalable reliable ML solutions. Youll 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. Youll work in cloud environment to automate deployment monitor performance and ensure maintainability.
Why Join Us
At DataSentics were 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 onAzureAWSandGoogle Cloud Platform.
- How we work: Small focused teams (25 people) agile workflows and strong collaboration between engineers analysts scientists and PMs.
- Remote-first culture: Work where youre the most productive at home in the office or a mix of both. Most of our work happens remotely with optional offices inPrague(near Muzeum metro) andBrno(ImpactHub).
- Flexible working: Part-time roles available starting at 30 hours/week.
What Were 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 Youll 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 moreIf youre excited about building ML solutions and working with a team that values learning and innovation get in touch!
Required Experience:
IC
Prague I Brno Part-Time I Full-TimeAre you passionate about Python and machine learning Do you enjoy solving real-world problems with modern open-source tools and cloud technologies If youre a creative thinker whos ready to build and deploy meaningful AI solutions wed love to hear from you.What You...
Prague I Brno
Part-Time I 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 youre a creative thinker whos ready to build and deploy meaningful AI solutions wed love to hear from you.
What Youll Do
As a Machine Learning Engineer at DataSentics your focus will be on turning prototypes into scalable reliable ML solutions. Youll 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. Youll work in cloud environment to automate deployment monitor performance and ensure maintainability.
Why Join Us
At DataSentics were 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 onAzureAWSandGoogle Cloud Platform.
- How we work: Small focused teams (25 people) agile workflows and strong collaboration between engineers analysts scientists and PMs.
- Remote-first culture: Work where youre the most productive at home in the office or a mix of both. Most of our work happens remotely with optional offices inPrague(near Muzeum metro) andBrno(ImpactHub).
- Flexible working: Part-time roles available starting at 30 hours/week.
What Were 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 Youll 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 moreIf youre excited about building ML solutions and working with a team that values learning and innovation get in touch!
Required Experience:
IC
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