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Machine Learning Engineer
Hire Hangar GlobalMachine Learning Engineer developing and deploying ML models and data pipelines while working remotely with global companies. Responsibilities include data sourcing, cleaning, and collaboration with various teams.
Tech Stack
Tools & technologiesETLPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering
- Develop, train, evaluate, and iterate on machine learning models across classification, regression, clustering, and NLP tasks
- Fine-tune and adapt pre-trained LLMs and foundation models for specific use cases and datasets
- Build and manage MLOps infrastructure including model versioning, experiment tracking, and deployment pipelines
- Work with structured and unstructured data at scale — including text, tabular, and time-series data
- Monitor model performance in production and implement retraining and drift-detection strategies
- Collaborate with engineering and product teams to translate data insights into actionable AI features
- Document data schemas, model architectures, and pipeline logic clearly and thoroughly
Requirements
What you’ll need- Strong Python skills with hands-on experience in core ML libraries (scikit-learn, PyTorch, TensorFlow, or similar)
- Solid data engineering experience — SQL, ETL pipelines, and working with large-scale datasets
- Practical experience with model training, evaluation, hyperparameter tuning, and deployment
- Familiarity with LLMs and transformer-based architectures; experience with fine-tuning or prompt engineering in production contexts
- Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC, or similar)
- Strong grasp of statistical concepts, data quality principles, and model performance metrics
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Benefits
Comp & perks- Competitive pay
- Remote work options
ATS Keywords
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Hard Skills & Tools
Pythonmachine learningscikit-learnPyTorchTensorFlowSQLETLmodel traininghyperparameter tuningdata engineering
Soft Skills
collaborationcommunicationremote work experience