Machine Learning Engineer

Burtch Works; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

Burtch Works is seeking an experienced ML engineer to design scalable ML infrastructure, deploy models, and collaborate with clients to deliver Generative AI solutions in the cloud. You will monitor production models and ensure security while preprocessing data and refining model performance.

The role emphasizes Python and R programming, cloud services (AWS/Azure/GCP), and DevOps practices within a dynamic consulting environment.

Qualifications

• Proven ML engineering experience, including model hosting, inference optimization, and model registry management.
• Experience designing and building cloud-native AI solutions (AWS, Azure, GCP).
• Strong programming in Python and R for data analysis and modeling.
• Familiar with CI/CD and DevOps practices across ML pipelines.
• Knowledge of model evaluation and common ML libraries (TensorFlow, PyTorch).

Responsibilities

• Design scalable machine learning infrastructure, including CI/CD pipelines for model training and deployment
• Monitor models in production
• Develop Generative AI solutions, including LLM-based applications, RAG infrastructure, and common search paradigms
• Ensure security and compliance
• Preprocess and analyze datasets
• Develop and fine-tune ML models to optimize performance
• Collaborate with client stakeholders to define and build robust AI solutions

Skills

Strong software engineering principles

CI/CD & DevOps familiarity

Strong programming skills

Agile methodologies

Cloud-native AI solutions

Tools

AWS

Azure

GCP

Docker

Kubernetes

TensorFlow

PyTorch

Job description

About The Company

Our client is a consulting firm that gives its people a platform to shape the future of their clients’ businesses. They look for people who think differently, build boldly, lead with impact, and they value individual perspective and ambition.

• Growth through challenge: The firm holds itself to high standards of excellence and accountability. You’ll work alongside elite consultants who push you to expand your skills and think more creatively, and you’ll own your work and its impact.
• Autonomy to do your best work: The firm cares about outcomes more than outputs. You’ll have room to shape your work, drive decisions, and anticipate client needs, in a culture that rewards bold thinking and challenges conventional wisdom.
• Diverse perspectives driving innovation: The firm champions inclusivity and authenticity and believes diverse perspectives lead to better solutions. The culture is energetic and collaborative, and the team believes great work should be fun.
  

What You’ll Do

• Design scalable machine learning infrastructure, including CI/CD pipelines for model training and deployment
• Monitor models in production
• Develop Generative AI solutions, including LLM-based applications, RAG infrastructure, and common search paradigms
• Ensure security and compliance
• Preprocess and analyze datasets
• Develop and fine-tune ML models to optimize performance
• Collaborate with client stakeholders to define and build robust AI solutions

What You’ll Bring

• Strong software engineering principles
• Experience designing and building cloud-native AI solutions (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Familiarity with model evaluation and libraries like TensorFlow and PyTorch
• Proven ML engineering experience, including model hosting, inference optimization, and model registry management
• Strong programming skills (Python, R)
• Experience with infrastructure as code and cloud services (networking, IAM, compute platforms, databases)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Understanding of Agile methodologies