Machine Learning Engineer

Machine Learning Engineer

Posted 5 days ago by 1750840898

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Negotiable
Outside
Remote
USA
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Agility Apache Spark Artificial Intelligence AWS SageMaker Big Data Data Analysis Data Science Docker (Software) Feature Engineering Generic Programming Github Machine Learning Predictive Analytics Predictive Modeling Python (Programming Language) Software Development SQL (Programming Language)

Summary: The Machine Learning Engineer/Data Scientist role focuses on delivering actionable insights to clients by developing advanced data science and machine learning solutions. The position requires strong collaboration skills and the ability to analyze complex datasets to drive business outcomes. Candidates will leverage their expertise in machine learning and data analysis to tackle significant challenges and enhance client missions. This fully remote position offers the opportunity to make a meaningful impact in the field of data science.

Key Responsibilities:

  • Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges.
  • Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data.
  • Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
  • Manage and analyze large and/or complex datasets.
  • Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
  • Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.
  • May coach and review the work of less-experienced professionals.

Key Skills:

  • Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI.
  • Able to create complex queries in SQL for testing and data analysis.
  • Experience developing ML pipelines and with ML Operations.
  • Experience with Model Tuning and Governance.
  • Experience with the following tools: MLFlow, GitHub, Docker.
  • Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: Machine Learning Engineer/Data Scientist
Location: Fully Remote

Job Description:
Machine Learning Engineer/Data Scientist:

Deliver insights to help our clients turn data into action as a Data Scientist Advisor. Your work will provide transformative solutions to our clients big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients mission and on your career.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

HOW A DATA SCIENTIST ADVISOR WILL MAKE AN IMPACT

  • Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges.
  • Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data.
  • Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
  • Manage and analyze large and/or complex datasets.
  • Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
  • Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.
  • May coach and review the work of less-experienced professionals.

WHAT YOU LL NEED TO SUCCEED:

Education: Masters of Science in Data Science, or similar degree

Required Experience: 8+ years of related experience

Required Technical Skills: **Specific skill sets required**

  • Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI
  • Able to create complex queries in SQL for testing and data analysis
  • Experience developing ML pipelines and with ML Operations
  • Experience with Model Tuning and Governance
  • Experience with the following tools: MLFlow, GitHub, Docker

Required Skills

  • Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator
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