Sr Data Scientist (Gen AI, LLM)

Job Description

• Education: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred
• 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems
• 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM)
• 1+ year of experience building NLP, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
• Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
• Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
• Knowledge in Python or C++ / C#, and SQL, object oriented programming, service oriented architectures
• Strong scripting skills with Shell script and SQL
• Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or Scala.
• Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.)
• Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow
• experience building Vector DB, NLP, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
• Demonstrated experience with SQL and relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.
• Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis
• Demonstrated experience with machine learning techniques including natural language processing, BERT, RoBERT, GPT and Large language Models.