Key Responsibilities
- Design, develop, and deploy machine learning and AI models to solve real-world business problems
- Build and optimize ML pipelines and data processing workflows for scalable AI solutions
- Train, test, and fine-tune machine learning models using NLP, Generative AI, Deep Learning, or Computer Vision techniques
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions
- Integrate AI models into production environments and applications with robust API integrations
- Monitor model performance, troubleshoot issues, and improve system accuracy over time
Requirements
- Strong proficiency in Python and core machine learning concepts
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn frameworks
- Knowledge of NLP, LLMs, Deep Learning, or Generative AI technologies
- Experience with APIs, model deployment, and cloud platforms is highly desirable
- Solid understanding of data structures, algorithms, and statistical modeling