Senior Data Scientist - Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer (Databricks Experience Essential) Location: Remote Contract: 6 months initial Rate: $75-$95 per hour Impact of Your Role As a Senior Data Scientist / Machine Learning Engineer, you will: • Develop innovative solutions utilizing Large Language Models (LLMs) on customer data, including Retrieval-Augmented Generation (RAG) and agentic architectures, to enhance enterprise knowledge repositories. • Implement natural language querying for structured data and facilitate content generation. • Expand customer data science capabilities by applying best practices in MLOps to ensure successful deployment across diverse domains. • Provide strategic guidance to data teams on architecture, tools, and best practices in data science. • Offer technical mentorship to the broader Machine Learning Subject Matter Expert community. Required Experience: • Proficiency in advanced natural language processing techniques, including vector databases, LLM fine-tuning, and deployment using tools such as HuggingFace, Langchain, and OpenAI. • 5 to 6+ years of hands-on experience in production data science, utilizing tools such as pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch. • Proven track record of building production-grade machine learning solutions on cloud platforms like AWS, Azure, or GCP. • Strong ability to communicate complex technical concepts effectively to both technical and non-technical audiences. • Experience with Apache Spark™ for processing large-scale distributed datasets. • Familiarity with the Databricks platform. • At least 2 years of customer-facing experience in a pre-sales or similarly technical role.