Key Responsibilities
Designing and implementing machine learning pipelines in Azure cloud environment Developing and deploying models for classification, regression, time series, recommendation, or NLP use cases  Working with structured and unstructured data, and applying feature engineering, model tuning, and evaluation techniques  Packaging and deploying models using containerization (e.g., Docker, Kubernetes)  Automating and monitoring ML workflows using MLflow, Airflow, or cloud-native tools (SageMaker, Vertex AI, Azure ML)  Collaborating with data scientists, engineers, and product teams to translate business problems into ML solutions  Contributing to MLOps practices: model versioning, CI/CD for ML, performance monitoring, and rollback strategies 
Requirements
At least 5 years of professional experience.  Advanced proficiency in English (minimum B2 level in speaking, writing, listening, and reading).  A bachelor’s degree in Computer Science, Software Engineering, or a related field.  Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost  Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP  Familiarity with ML pipeline orchestration and CI/CD practices  Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations  Familiarity with HuggingFace Transformers, LangChain, or RAG architectures  Exposure to Responsible AI, explainability, or ethical ML practices  Background in MLOps tooling: MLflow, DVC, Tecton, Feast  Experience with data labeling tools or ML observability platforms  Solid understanding of software engineering principles and cloud infrastructure  Experience working with APIs, data lakes, and distributed systems is a plus  Comfortable in Agile environments and cross-functional teams 

What We Offer
Competitive Compensation: Salary tailored to your skills and experience.  Generous Time Off: 25 paid vacation days (based on a 40-hour work week).  Relocation Support: A relocation and travel budget to ease your transition.  Tax Benefits: Eligibility for the 30% ruling.  Travel Reimbursement: We've got your daily commute covered.  Top-Notch Equipment: A high-quality device to ensure you work efficiently.  Professional Development: Financial support for certifications, technical training, and language courses—because we value your long-term career growth.  Family: Visa sponsorship for your partner and children under 18.  Temporary Accommodation: Stay in temporary housing while we help you find your permanent home.  Comprehensive Relocation Assistance: Extensive support to help you settle in smoothly.  Community & Fun: Enjoy team events and connect with developers from around the globe! 

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