Experience &Education
- Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred.
- 6 months+ of experience.
- Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments.
- Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc.
- Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development.
- Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment.
- Capable of rapid self-learning of new software applications and programming languages.
- Effective written and verbal communication skills, including technical documentation.
- Excellent technical, analytical, time management, and organizational skills
- Requires excellent collaboration, presentation and communication skills.
Technical Skills & Competencies
- Strong proficiency in Python, PyTorch and preferably PySpark.
- Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering.
- Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs.
- Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques.
- Strong understanding of integration of Gen AI applications with with backend systems.
- Goodindeveloping and consuming RESTful APIs.
- Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains.
- Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.
