onsite
AI Engineer - Diverse Lynx
AI Engineer
AI Engineer responsible for designing, developing, and deploying machine learning models using Python and leading frameworks such as TensorFlow, PyTorch, and Scikit-learn, while handling structured and unstructured data with SQL, Pandas, and NumPy.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning and deep learning models for diverse business problems.
- Develop end‑to‑end data pipelines, ingesting structured and unstructured data, and perform feature engineering.
- Collaborate with data scientists and software engineers to integrate models into production systems.
- Conduct model validation, performance monitoring, and continuous improvement.
- Document model architecture, code, and results for reproducibility and compliance.
Requirements
- Proficiency in Python and experience with TensorFlow, PyTorch, and Scikit-learn.
- Strong foundation in machine learning algorithms, statistics, and data processing.
- Hands‑on experience with SQL, Pandas, and NumPy for data manipulation.
- Ability to work with both structured and unstructured data at scale.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningtensorflowpytorchsqlpandasnumpy