Production ML/AI Engineer - Cloud & MLOps

HAVI

Chicago (IL)

Hybrid

USD 105,000 - 125,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

401(k) with company match
Paid parental and medical leave
Tuition reimbursement

Job summary

HAVI in Chicago seeks an AI Engineer to design and deploy machine learning solutions for analytics. Ideal candidates should possess a Bachelor's in computer science and 2+ years in Azure Databricks. Responsibilities include managing supply chain data needs and collaborating with cross-functional teams to innovate solutions. The salary range is competitive, with a hybrid work model and generous benefits, making HAVI an excellent opportunity for growth in AI engineering.

Qualifications

  • Bachelor’s degree in relevant field; advanced degree preferred.
  • 2+ years with Azure Databricks (PySpark/Scala).
  • Strong SQL expertise for large datasets.

Responsibilities

  • Work with data management and technology teams on supply chain needs.
  • Design and train ML and DL models.
  • Deploy models into production environments.

Skills

Azure Databricks
SQL
Python
Machine Learning
Data Engineering

Education

Bachelor’s degree in computer science or related field

Tools

TensorFlow
PyTorch
Azure Data Factory

Job description

HAVI in Chicago seeks an AI Engineer to design and deploy machine learning solutions for analytics. Ideal candidates should possess a Bachelor's in computer science and 2+ years in Azure Databricks. Responsibilities include managing supply chain data needs and collaborating with cross-functional teams to innovate solutions. The salary range is competitive, with a hybrid work model and generous benefits, making HAVI an excellent opportunity for growth in AI engineering.
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

AI Engineer
AI Engineer

HAVI • Chicago (IL)

Hybrid
USD 105,000 - 125,000
401(k) with company match
Paid parental and medical leave
Tuition reimbursement
Azure ML Engineer: Deploy & Monitor AI at Scale
Azure ML Engineer: Deploy & Monitor AI at Scale

Chevron • Houston (TX)

On-site
USD 100,000 - 130,000
AI/ML Engineer: Design, Deploy & Scale AI Solutions
AI/ML Engineer: Design, Deploy & Scale AI Solutions

Web-Tronix • Chicago (IL)

On-site
USD 90,000 - 120,000
AI Engineer: ML Innovation & MLOps Lead
AI Engineer: ML Innovation & MLOps Lead

Avid Technology Professionals • Maryland

On-site
USD 90,000 - 120,000
AI/ML Lead — Databricks & MLOps Architect
AI/ML Lead — Databricks & MLOps Architect

Persistent Systems • Los Angeles (CA)

On-site
USD 180,000 - 240,000
Competitive salary and benefits package
Quarterly promotion cycles
Company-sponsored education and certifications
+2
Senior AI/ML DevOps Engineer (MLOps, Cloud)
Senior AI/ML DevOps Engineer (MLOps, Cloud)

Highbrow LLC • Atlanta (GA)

On-site
USD 100,000 - 130,000
Azure AI Engineer: Build LLMs, Lakehouse & Auto-Agents
Azure AI Engineer: Build LLMs, Lakehouse & Auto-Agents

Cambro Manufacturing Co. • Huntington Beach (CA)

On-site
USD 103,000 - 135,000
ML Engineer: GenAI & Data Infra | Remote | Stock Options
ML Engineer: GenAI & Data Infra | Remote | Stock Options

Shipwell • United States

Remote
USD 130,000 - 163,000
Home office reimbursement
Unlimited Paid Time Off
401K with company match
+5
Data Engineer – Azure Databricks & DataOps for Supply Chain
Data Engineer – Azure Databricks & DataOps for Supply Chain

HAVI • Chicago (IL)

Hybrid
USD 100,000 - 115,000
Medical, Dental, Vision
401(k) with match & profit sharing
15 days paid time off
+2
Azure AI Engineer: Design & Deploy Autonomous LLM Solutions
Azure AI Engineer: Design & Deploy Autonomous LLM Solutions

Cambro Manufacturing Company • United States

On-site
USD 103,000 - 135,000