Sr. Data Science / Sr. ML Engineer
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Sr. Data Science / Sr. Machine Learning Engineer
The impact you will have:
Build and increase customer data science + machine learning workloads and apply the best MLOps to productionize these workloads across a variety of domains
Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
Advise data teams on several data science areas such as architecture, tooling, and best practices
Provide technical mentorship to the larger ML Subject Matter Expert community
What we look for:
5+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud Platform including drift monitoring
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
Experience communicating and teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving value through ML
[Required] Experience working with Apache SparkTM to process large-scale distributed
datasets
[Required] Experience working with the Databricks platform, mlFlow and popular data
science libraries.
[Required] CI/CD experience with Git, Azure pipelines, DevOps
[Required] 2+ years customer-facing experience
Can meet expectations for technical training and role-specific outcomes within 1 month of hire
Preferred Certifications:
Databricks Associate ML Engineer
Databricks Professional ML Engineer
Databricks Associate GenAI Engineer
Databricks Data Engineer