Key Facts

Remote From:

Indiana (USA)

Category: ML Ops Engineer

Full time

Senior (5-10 years)

English

Hard Skills

Azure Databricks Scala (Programming Language) Python (Programming Language) Apache Spark Data Engineering Amazon Web Services Version Control CI/CD MLflow Workflow Engine +2 more

Other Skills

•
Mentorship
•
Analytical Skills
•
Problem Solving
•
Communication

Roles & Responsibilities

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

Requirements:

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

ICONMA

Human Resources, Staffing & Recruiting

About ICONMA

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 type: Large

Industry: Human Resources, Staffing & Recruiting

Founded: 2018

Company size: 1001 - 5000

Website LinkedIn See all jobs →

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