Role Overview:
- Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI.
- Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains.
- Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency.
- Deploy NLP models into production environments, ensuring scalability and robustness.
- Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques.
- Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects.
- Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
- Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning.
- Develop and maintain documentation for NLP models, algorithms, and processes.
- Collaborate with product managers and engineers to integrate NLP solutions into products and services.
- Conduct code reviews and ensure adherence to coding standards and best practices.
- Participate in the development of data collection and annotation strategies to improve model performance.
- Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI
The Ideal Candidate
- Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms
Required Qualifications:
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 5+ experience in data science
- Demonstrated skill in the use of Python and / or other analytic software tools or languages
- Demonstrated skill in guiding teams to solve business problems
- Strong communication, interpersonal and leadership skills
Preferred Qualification
- Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems.
- Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy.
- Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure).
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with transfer learning, fine-tuning, and prompt engineering for LLMs.
- Knowledge of agentic AI principles and their application in real-world scenarios.
- Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL.
- Publications or contributions to the NLP and AI research community.