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