AI & Machine Learning Engineer

Schneider Llp
Green Bay, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Green Bay, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
C++
Cloud Computing
Code Review
Information Systems
Continuous Integration
Python
Linux Servers
Machine Learning
NumPy
Software Engineering
Software Systems
SQL Databases
Data Streaming
Data Processing
Google Cloud Platform
Feature Engineering
Model Validation
GIT
Pandas
Containerization
Scikit Learn
Kubernetes
Information Technology
Kafka
Machine Learning Operations
Software Version Control
Docker
Programming Languages
Microservices

Job description

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives., * Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.

  • Develop and optimize data processing and feature engineering pipelines.
  • Build APIs and microservices that support machine learning models.
  • Implement model performance monitoring and drift detection.
  • Write high-quality, efficient and well-documented code.
  • Conduct code reviews and mentor junior engineers on best practices for software development.
  • Perform data analysis and generate insightful reports to support business decisions.

Requirements

  • Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
  • A minimum of 2 years of experience in software engineering, data science or a related field in IT.
  • Proficient in programming languages such as Python, Java or C++.
  • Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
  • Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
  • Experience with SQL, database management and application development in a Linux server environment
  • Proficiency with version control systems (e.g., Git).
  • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
  • Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance, Pay and benefits:
  • Medical, dental and vision insurance.
  • Company paid life insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.
  • Tuition reimbursement.
  • See full list of information technology benefits.

Apply for this position