Data Engineer - AI/ML (f/m/d)

We're seeking a Data Engineer - AI/ML to research, design, build, and automate predictive models, and establish metrics to monitor model performance and accuracy.

Requirements

• Bachelor’s degree or higher in Data Science, Data Engineering or a related field
• 2+ years experience as data engineer on AI/ML project with Python
• Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS)
• Solid understanding of Scrum practices and a strong Agile mindset
• Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)
• Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases
• Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development
• Strong knowledge of cloud platforms (Azure and AWS) and relevant services
• Hands on experience with big data technologies, including Databricks and Spark
• Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget
• Very strong understanding of the principles of machine learning
• Create mind-set to bring new ideas and push the machine learning project to next level
• Willing to change, learn and start initiatives
• Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed
• Very strong communication and interaction skills
• Very strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results
• Team player, willing to improve yourself

Benefits

• Flexi-Week and Work-Life Balance
• Remote Working Allowance
• Flexi-Office
• Meal Vouchers
• Health & Wellbeing
• Remote Working Furniture Package
• Appreciation