onsite
AI Engineer - partimus
AI Engineer
Lead end‑to‑end AI development, building scalable ML models and NLP solutions using Python, TensorFlow/PyTorch, and AWS services.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready machine learning models for diverse business use cases.
- Implement deep learning architectures (CNNs, RNNs, Transformers) and fine‑tune pre‑trained models for NLP tasks.
- Collaborate with data engineers to build robust data pipelines and feature stores.
- Integrate models into cloud environments (AWS SageMaker, Lambda) and monitor performance in production.
- Document model logic, performance metrics, and best practices for reproducibility.
Requirements
- Strong programming skills in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience with NLP techniques and libraries (spaCy, Hugging Face Transformers).
- Proficiency in cloud services (AWS, GCP, or Azure) for model deployment and scaling.
- Solid understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonmachine learningdeep learningtensorflowpytorchnatural language processingaws