- Develop analytics within well-defined projects to address customer needs and opportunities.
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing and data analytics
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Share and discuss findings with team members.
The Ideal Candidate
- Ideal candidate should have experience in NLP, LLM, Image Analytics, Python and cloud platforms
Required Qualifications:
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
- 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.