onsite
Applied AI Engineer - Internal Tools - alegeus
AI Engineer
Lead the design and deployment of AI-driven internal tools, leveraging Python, Machine Learning, and AWS to automate data workflows and enhance business intelligence.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI solutions that streamline internal processes and deliver actionable insights.
- Collaborate with data scientists and product teams to translate business requirements into scalable ML models.
- Deploy models on AWS infrastructure, ensuring high availability, security, and performance.
- Maintain and optimize data pipelines, performing feature engineering and data quality checks.
- Document solutions, provide training, and support cross‑functional teams in adopting AI tools.
Requirements
- Strong proficiency in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience building and deploying models on AWS (SageMaker, Lambda, ECS).
- Solid understanding of data engineering concepts and experience with ETL pipelines.
- Knowledge of NLP techniques and libraries is a plus.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsnlp