Machine Learning Engineer

🔧 What You’ll Be Working On:
✔️ Designing, developing, and deploying machine learning models for real-world problems
✔️ Building scalable data pipelines and integrating models into production systems
✔️ Working with structured and unstructured data across domains (e.g., text, image, tabular)
✔️ Conducting feature engineering, model evaluation, and hyperparameter tuning
✔️ Collaborating with product, data, and engineering teams to deliver end-to-end ML solutions
✔️ Leveraging MLOps tools for versioning, deployment, and monitoring of models

🎯 What We’re Looking For:
✔️ Solid experience with ML algorithms, model development, and applied data science
✔️ Proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, LightGBM)
✔️ Hands-on experience with cloud services (AWS, GCP, or Azure) and containerization (Docker/Kubernetes)
✔️ Familiarity with MLOps tools like MLflow, SageMaker, or Vertex AI is a plus
✔️ Degree in Computer Science, Machine Learning, Data Science, or related field (MSc or PhD preferred)
✔️ Strong analytical mindset and ability to translate business needs into ML solutions