Job Description
Key Responsibilities:
- Develop, train, and deploy machine learning and NLP models using Python and relevant libraries (scikit-learn, Databricks).
- Apply LLMs, RAG, vector databases, and embeddings to solve enterprise use cases.
- Build APIs to serve ML models and integrate them into applications.
- Apply supervised, unsupervised learning, time-series forecasting, and statistical analysis on large datasets.
- Collaborate with stakeholders and present analytical findings clearly.
- Work independently, prioritizing tasks and driving projects to completion.
Required Skills:
- 5+ years of Python programming with data science libraries.
- 3+ years of production experience with NLP (transformers, GPT, etc.).
- 2–3 years working with LLMs, RAG, embeddings, and vector DBs.
- Strong analytical, problem-solving, and quantitative skills.
- Excellent communication and presentation skills.
Nice-to-Have:
- Experience with GenAI models for vision and speech applications.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.