Sr. Data Science / Sr. Machine Learning Engineer - REMOTE

Overview

Remote
$60 - $65
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Machine Learning (ML)
Databricks
Data Science
Machine Learning Operations (ML Ops)
TensorFlow
scikit-learn
MLflow
PySpark

Job Details

*NOTE: This is client facing role, need an excellent communicator and strong with ML/ Data Science.

*NOTE: This is client facing role, need an excellent communicator and strong with ML/ Data Science.

*NOTE: This is client facing role, need an excellent communicator and strong with ML/ Data Science.

Position: Sr. Data Science / Sr. Machine Learning Engineer
Location: REMOTE
Duration: 6-12+ Months Contract

Key Skills

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

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