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Seasonal Machine Learning Consultant Jobs (NOW HIRING)

3B Staffing LLC

Machine Learning SME

Manhattan, NY · On-site

Azure Databricks Machine Learning Professional Certificate The consultant will apply engineering disciplines to cloud computing and bring a systematic approach to concerns of commercialization ...

New

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 ...

1872 Consulting

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you will work with a tight, highly skilled machine learning / data science team dedicated to the ...

1872 Consulting

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you will work with a tight, highly skilled machine learning / data science team dedicated to the ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their ...

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Machine Learning SME

3B Staffing LLC

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning SME

A leading utility provider located in New York, NY is looking for a Machine Learning SME to join their team for a long-term contract role on a hybrid basis.
Our client is looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus.

Mandatory Requirements:

  • 3+ years of experience with creating stored procedures in SQL Azure Databricks
  • Azure Databricks
  • Bayesian Machine Learning
  • Machine Learning Operations
  • Experience with Pandas
  • Experience with PySpark
  • Quantitative Statistical Analysis

Desirable Requirements:

  • Azure Databricks Data Engineer Professional Certification
  • Azure Databricks Machine Learning Professional Certificate

The consultant will apply engineering disciplines to cloud computing and bring a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. They will leverage the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions and uses the economics of cloud resources to solve business problems.
Key Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Databricks.
  • Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
  • Apply ML Ops best practices to ensure robust and scalable model deployment.
  • Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
  • Collaborate with data scientists and engineers to integrate ML models into production environments.
  • Optimize and maintain existing ML models to ensure high performance and scalability.
  • Utilize PySpark, Python, and SQL for data processing and analysis.
  • Conduct statistical analysis to support data-driven decision-making.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • 7+ years of experience in ML model deployment using Azure Databricks.
  • Proficiency in PySpark, Python, and SQL.
  • Experience with Azure Databricks ML Flow and ML Ops best practices.
  • Experience with deploying and managing LLMs and GenAI models on Databricks.
  • Experience with statistical analysis is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

Education:

  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).

Apply