onsite
Senior AI/ML Engineer - R Systems
ML Engineer
Lead the design, development, and deployment of advanced AI/ML solutions, focusing on deep learning and NLP/LLM applications using Python and modern frameworks.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines for predictive and generative AI solutions.
- Design, train, and optimize deep learning models, including transformer‑based NLP and large language models.
- Collaborate with data engineers and product teams to integrate AI services into production systems.
- Conduct experiments, perform model evaluation, and iterate to improve accuracy and scalability.
- Mentor junior engineers and promote best practices in code quality, version control, and model reproducibility.
Requirements
- 5+ years of hands‑on experience in AI/ML engineering, with a strong focus on deep learning and NLP.
- Proficiency in Python and major ML frameworks such as TensorFlow or PyTorch.
- Demonstrated experience building, fine‑tuning, and deploying large language models or transformer architectures.
- Solid understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Ability to translate complex business problems into scalable AI solutions and communicate results to technical and non‑technical stakeholders.
Skills
pythontensorflowpytorchnatural language processingdeep learning