Senior Machine Learning Engineer
WeSoftYou Inc.
full-time
Posted on:
Location Type: Remote
Location: Ukraine
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Job Level
About the role
- Lead the development, deployment, and operationalization of AI and machine learning solutions across initiatives
- Own the end-to-end machine learning lifecycle — from system architecture and data pipelines to model training and production deployment
- Design and fine-tune LLM-based pipelines to parse regulatory and technical documentation
- Develop time-series forecasting models for material demand, cost trends, and spend categories
- Optimize inference performance through quantization and efficient model architectures
- Implement monitoring and retraining workflows to detect model drift
Requirements
- 5+ years of experience in Machine Learning Engineering with production-grade deployments
- Python expertise and strong hands-on experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy
- Deep understanding of NLP and Generative AI, including transformer architectures (BERT, GPT, LLaMA)
- Experience with Hugging Face, LangChain, or similar NLP/LLM frameworks
- Solid MLOps experience, including Docker, Kubernetes, experiment tracking, and CI/CD for ML
- Ability to design data pipelines for structured data (SQL, tabular) and unstructured data (text, PDFs)
- Strong algorithmic thinking with experience implementing custom logic (e.g. graph traversal, optimization, geometric or rule-based computations)
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine Learning EngineeringPythonPyTorchTensorFlowScikit-learnPandasNumPyNLPGenerative AIMLOps
Soft Skills
algorithmic thinking