Envision Employment Solutions is looking for a Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
What You'll Do
- Design and develop end-to-end machine learning models, with a strong focus on NLP applications
- Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
- Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
- Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
- Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks
- Evaluate and optimize prompt engineering strategies and context efficiency
- Develop data pipelines using tools such as Airflow, Spark, or Dataiku
- Perform data wrangling and preprocessing using pandas and NumPy
- Design and manage feature stores
- Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
- Build and maintain RESTful APIs for serving ML models in production
- Deploy scalable AI services and manage CI/CD pipelines
- Monitor model performance, drift detection, and lifecycle management
- Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
- Apply advanced statistics, probability theory, and experimental design
- Conduct hypothesis testing and data-driven analysis to support business decisions
- Work closely with product and engineering teams to embed AI solutions into production systems
- Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
What We're Looking For
- Proven experience designing, building, and deploying production machine learning and NLP solutions
- Strong production experience with a focus on the full ML lifecycle
- Deep expertise in transformer-based architectures and large language models
- Ability to lead technical initiatives from research to deployment
- Experience with data pipeline tools such as Airflow, Spark, or Dataiku
- Proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras
- Practical experience with vector databases such as Pinecone, FAISS, or Chroma
- Strong skills in Python data manipulation with pandas and NumPy
- Experience building and maintaining RESTful APIs for model serving
- Knowledge of model monitoring, A/B testing, and explainability techniques
- Strong foundation in advanced statistics, probability theory, and experimental design
- Excellent collaboration skills with product, engineering, and cross-functional teams
Technical Stack
- Machine Learning Frameworks: TensorFlow, PyTorch, Keras
- Data Pipeline & Engineering: Airflow, Spark, Dataiku
- Data Manipulation: pandas, NumPy
- Vector Databases: Pinecone, FAISS, Chroma
Envision Employment Solutions is an equal opportunity employer.
