The application window is expected to close on March 15, 2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.
As aSenior Software Engineeryou willdevelop and deploy ML models, work ontransformer-based architectures, and contribute toend-to-end AI solutions. You will collaborate with, helping tobuild and scale AI applicationsthat addressreal-world industry challenge
- Build andoptimizeML modelsfor diverse applications
- Develop andmaintainML infrastructure, pipelines, and deployment systems
- Work acrossmodeling, ML infra, and system developmentto deliver AI-driven solutions
- Engage withcustomers and internal teamsto refine AI models based on real-world feedback
- Collaborate withcross-functional teamsto ensure AI solutions are scalable and production-ready
- Solve complexML and AI system design challenges
- degree with 5+ years (or)Mastersdegree with 3+ years (or) PhD degree with 1+ year of software development industry experience
- 2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production
- Experience in Python or Goand ML frameworks (PyTorch, TensorFlow)
- Strong understanding ofML Fundamentals, classic ML algorithms,moderntransformer-basedmodelsand deep learning architectures
- Knowledge ofLangChain,LlamaIndex, and Hugging Face models
- Background inAI security, risk detection, or fraud detection(a plus, but notrequired)
- Research experience or contributions to open-source ML projects
- Self-starter with a strong problem-solving skills and ability to work independently
technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.