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Machine Learning Specialist

Role overview

Qualifications

  • 6+ years of experience using statistical and programming languages for data analysis and ML
  • 6+ years of experience building analytical and quantitative models
  • 6+ years of experience preparing data for predictive and prescriptive modeling
  • Strong understanding of data analysis methods and statistical techniques

Responsibilities

  • Design, develop, train, and evaluate machine learning models
  • Analyze large and complex datasets to generate actionable insights
  • Prepare, clean, normalize, and organize data for predictive and prescriptive modeling
  • Build analytical reports, dashboards, and visualizations

About the company

Workiy Inc. logo

Workiy Inc.

IT Services & IT Consulting

Workiy provides digital solutions and staffing services, utilizing our patented delivery model and a unique and flexible, client-centric approach to tackling technology's biggest challenges. We don’t have “clients” we have partners! Our mission is to enable your talented teams and amazing systems to assist your business in optimally achieving its goals. The Workiy team, brings to the table, more than 20+ years of experience in the technology industry across many verticals in both the private and public sector.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description

This is a remote position.

We are looking for a Machine Learning Specialist with strong experience in AI, machine learning, data science, and analytics to support the design and development of analytical data products and services. The role involves working with cross-functional teams to build predictive models, generate insights, and deliver data-driven solutions.

Requirements

  • Design, develop, train, and evaluate machine learning models.
  • Analyze large and complex datasets to generate actionable insights.
  • Prepare, clean, normalize, and organize data for predictive and prescriptive modeling.
  • Build analytical reports, dashboards, and visualizations.
  • Integrate ML models into applications and workflows.
  • Gather and document business and technical requirements.
  • Collaborate with data engineers, analysts, and project teams.
  • Provide technical leadership and guidance on data and AI initiatives.
  • Ensure privacy, accountability, transparency, and ethical AI practices.
  • Develop and share analytical models and data products.
  • Support development of full-stack data analytics or AI applications when required.
  • Escalate risks and issues appropriately within a multi-vendor environment.

Required Experience

  • 6+ years of experience using statistical and programming languages for data analysis and ML.
  • 6+ years of experience building analytical and quantitative models.
  • 6+ years of experience preparing data for predictive and prescriptive modeling.
  • 6+ years of experience applying AI/ML to real-world business or enterprise problems.
  • Strong understanding of data analysis methods and statistical techniques.


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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