Machine Learning Engineer

📋 Description

• Design, build, maintain data pipelines for ingestion, transformation, and feature engineering
• Develop, train, evaluate, and iterate ML models across classification, regression, clustering, NLP
• Fine-tune and adapt pre-trained LLMs and foundation models for specific use cases
• Build and manage MLOps infra for versioning, tracking, and deployment
• Work with structured and unstructured data at scale (text, tabular, time-series)
• Monitor model performance in production and implement retraining and drift detection

🎯 Requirements

• Strong Python skills with hands-on experience in core ML libraries (scikit-learn, PyTorch, TensorFlow)
• Solid data engineering experience — SQL, ETL pipelines, and large-scale datasets
• Practical experience with model training, evaluation, hyperparameter tuning, and deployment
• Familiarity with LLMs and transformer-based architectures; fine-tuning or prompt engineering in production contexts
• Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC, or similar)
• Must have remote work experience and fluency with remote collaboration tools (Slack, Zoom, Google Workspace, Asana, etc.)

🎁 Benefits

• Fully remote role with US time zones
• Global company collaborations
• Long-term remote career
• Remote collaboration tooling with Slack, Zoom, and Google Workspace