Senior Data Scientist

Senior Data Scientist / Machine Learning Engineer

Location: Remote

Contract: 6 months initial

Rate: $75-$90 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.