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ML Ops Engineer

ICONMA

Role overview

Qualifications

  • At least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/Python
  • Experience in handling unstructured data processing and transformation with programming knowledge
  • Hands on experience in building data pipelines using Scala/Python
  • Big data technologies such as Apache Spark, Structured Streaming, Advanced SQL, Databricks, Delta Lake, Azure/AWS

Responsibilities

  • Troubleshoot spark applications and resolve data pipeline issues
  • Build end-to-end data and ML solutions
  • Familiarity with version control systems like Git, CICD pipelines
  • Good understanding of ML workflows, model development, and evaluation

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

Our Client, an IT Services and Consultant company, is looking for a ML Ops Engineer for their Remote location.
 
Requirements:
  • At least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/Python.
  • Experience in handling unstructured data processing and transformation with programming knowledge.
  • Hands on experience in building data pipelines using Scala/Python
  • Big data technologies such as Apache Spark, Structured Streaming, Advanced SQL, Databricks, Delta Lake, Azure/AWS
  • Strong analytical and problem-solving skills with the ability to troubleshoot spark applications and resolve data pipeline issues.
  • Familiarity with version control systems like Git, CICD pipelines.
  • Experience with Azure Databricks and MLflow
  • Good understanding of ML workflows, model development, and evaluation
  • Knowledge of MLOps fundamentals such as CI/CD, versioning, and monitoring
  • Ability to build end-to-end data and ML solutions
  • Exposure to production ML or AI systems
  • Understanding of data engineering and data modeling basics
  • Ability to work independently on loosely defined problems
  • Strong problem-solving and communication skills
  • Mentoring experience is a plus
  • 10.00 Years of Experience
 
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MR

Marcus Rivera

Chief Revenue Officer

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