We are seeking a Senior Data Scientist with strong expertise in transformer based models, generative AI, and deep learning to join our advanced AI team. This role involves leading end-to-end model development, from data preparation and training to deployment and monitoring, while driving innovation in real world AI applications.

REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience with large scale neural networks, deep learning, and reinforcement learning.
• Proven hands-on experience with GenAI projects and related frameworks (e.g., RAG apps, vector databases, LangChain, LlamaIndex, agentic frameworks).
• Advanced programming skills in Python and ML/DL libraries: SciPy, scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy.
• Hands-on expertise with AWS SageMaker and familiarity with broader cloud ecosystems (Azure, AWS, GCP).
• Strong understanding of probabilistic graphical models (Bayesian Networks, Markov Random Fields, Factor Graphs).
• Experience with MLOps and automation of data/model pipelines.
• Strong analytical mindset, problem-solving skills, and attention to detail.
• Excellent communication skills and fluency in English.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: €54,000.00-€120,000.00 per year

Experience:

• Data Scientist: 4 years (required)

Work Location: Remot

• Design, develop, and train transformer-based models for text and image tasks.
• Lead the entire ML lifecycle: data preparation, model design, training, validation, deployment, and monitoring.
• Collaborate with cross functional teams (data scientists, engineers, and domain experts) to deliver AI-driven business solutions.
• Stay up to date with the latest advancements in AI, GenAI, and machine learning, applying new techniques as appropriate.
• Contribute to scalable and reliable MLOps/DataOps practices for model productionization.