Machine Learning Engineer İş İlanı

Junior Machine Learning Engineer Location: Hybrid (Istanbul Office) — This role requires regular in-person collaboration at our Istanbul Hub - İTÜ ARI3 Teknokent. ABOUT CEIBA Founded in 2016, Ceiba is a global leader in healthcare technology, pioneering advancements that transform healthcare—particularly in critical care—through innovative AI, big data, and our state-of-the-art inpatient virtual care platform. Our revolutionary solutions enhance the lives of clinicians, nurses, and patients by providing intelligent tools that streamline workflows and enable data-driven decisions. Ceiba's products are globally recognized and used across five continents and more than ten countries. What began as a small team has now grown to nearly 80 people, with offices in New York and Istanbul. POSITION OVERVIEW We are looking for a Junior Machine Learning Engineer who is eager to grow and contribute to the development of medical machine learning models. In this role, you will primarily support projects involving multi-variate time-series analysis, with opportunities to expand into Computer Vision and Natural Language Processing as you grow. You will move beyond code to see the real-world impact of your work, collaborating directly with medical stakeholders to understand clinical problems and translate them into life-saving ML tasks. We highly value coachability and a learning-first mindset. We are looking for someone who wants to deeply understand the "why" behind solutions, actively seeks feedback, and iterates quickly. RESPONSIBILITIES Support the development and improvement of Medical ML models, with a primary focus on multi-variate time-series data, gradually expanding into Computer Vision and NLP projects. Assist with the full model lifecycle: data preparation, model training, evaluation, and detailed error analysis. Collaborate with medical staff and internal stakeholders to bridge the gap between clinical needs and technical implementation. Help maintain and improve model-serving pipelines (e.g., APIs), monitoring basics, and production reliability. Contribute to experiment tracking and reproducibility (e.g., logging runs, documenting datasets, saving artifacts). Write and maintain clear documentation for experiments, model behavior, and project learnings. Take ownership of small-to-medium scoped tasks and proactively suggest improvements as you learn the system. QUALIFICATIONS Education: Bachelors or Masters degree in Computer Science, Bioinformatics, or a related field (or equivalent practical experience). Programming: Solid Python skills and software fundamentals (clean code, debugging, basic testing mindset). ML Fundamentals: Familiarity with machine learning basics and at least one major framework (PyTorch, TensorFlow, or Scikit-learn). Workflow: Solid understanding of the model development workflow: data training evaluation iteration. Experience: 3+ years of programming experience and 3+ years of hands-on machine learning experience (including internships, academic research, or significant personal projects). Soft Skills: Strong self-learning ability: You pick up new concepts quickly and enjoy continuous learning. Coachability: You actively seek feedback, apply it, and improve fast. Communication: Excellent communication skills in English. NICE TO HAVE (BONUS) Familiarity with experiment tracking tools (e.g., Weights & Biases). Exposure to API development (e.g., FastAPI) and basic deployment concepts (Docker, Linux, Cloud basics). Any prior exposure to healthcare data, clinical terminology, CV, or NLP. JOIN US If you are passionate about healthcare technology and want to make a tangible difference in the industry, we encourage you to apply. Join us in our mission to transform healthcare through innovation and excellence! Work Arrangement: Ceiba embraces a hybrid work structure that combines office collaboration with flexibility. Fully remote work is not available for this role.