Machine Learning Engineers
Contract, Contract-to-Hire, and Direct Hire ServicesCareful Introductions By People
Who Understand Machine Learning
At ProFocus, we bring experience to the table when it comes to placing Machine Learning Engineers. Our track record of success in helping clients find the talent they need speaks for itself. With a strong background in Fortune 500 companies, we’ve consistently delivered results in critical environments, giving you the confidence that we can do the same for you.
Since 2014, we’ve been specializing in technology roles, accumulating a decade’s worth of experience and a deep understanding of the intricacies involved:
- We zero in on the right candidates. Not all Machine Learning Engineers are the same and we understand the differences. You’ll benefit when we find the right candidates and not send you the wrong ones.
- We understand nuances of Machine Learning, such as the variety of frameworks and the domain knowledge necessary for each project.
- We understand your Machine Learning role may have other titles such as Data Scientist, NLP Engineer, Computer Vision Engineer, Robotics Engineer, etc. We dig in to understand the key differences.
- We have an extensive network of talent. We’re constantly engaged in filling Machine Learning roles for our clients, which ensures that our talent pool remains fresh and dynamic.
- We pay attention to the details. You need specific skills and background and culture fit. We carefully consider these in candidates and only introduce accurately matched candidates.
Our unique business approach emphasizes quality over quantity, resulting in fewer introductions but better candidates. We’re all about technology – it’s the one thing we do, and we do it exceptionally well. This focus on technology allows us to make superior candidate matches for our clients while providing a top-notch experience for our consultants.

We are not just recruiters; we are true analysts of tech job roles.
We understand the nuances of technologies, tech skills, job roles, team dynamics, pay levels, talent availability, and much more. With us, you get a partner who goes beyond just finding candidates – we help you build high-performing tech teams.
FAQ Product Professionals
What questions will we ask about your machine learning roles?
- Does your Product Manager position also hold the function of Product Owner?
- Would an experienced PM or Business Analyst be a potential candidate?
- Do you have an established Product Manager function at your company or will this person need to create the role?
- How technical do you expect your Product Manager to be?
- Do you want an Agile purist or would you prefer someone more flexible on process?
What are typical roles we fill?
- Product Manager/Owner for a software product at a software company
- Product Manager/Owner for a data analytics system
- Product Manager/Owner for a Generative AI initiative
- Product Manager/Owner for an ERP such as Workday, SAP, Oracle, Dynamics Product Manager/Owner for a CRM such as Salesforce, Microsoft CRM
- Product Manager/Owner for ecommerce shopping cart or checkout
What are our typical client environments?
- Corporate Applications – ERP, CRM, HRIS, Accounting, Finance, Marketing, Sales, Logistics, Operations, Supply Chain Management (SCM), Enterprise Asset Management (EAM), Electronic Medical Records (EHR), etc
- Software Development and Engineering
- Data Analytics – Business Intelligence
- E-commerce
- Generative AI – Machine Learning (ML), Data Science
- Information Security
- IT Infrastructure – Networking, Data Center, Telecom
- Tech Applications – VR, AR, Robotics, etc
- Software Companies
- Tech Devices
- Cloud – Microsoft Azure, Amazon AWS, Google GCP
- SAP, Workday, Salesforce, Oracle, Microsoft Dynamics, Netsuite
What are typical industries we serve?
- Government
- Education
- Agriculture
- Energy / Natural Resources
- Services
- Manufacturing
- Financial / Banking / Insurance / Real Estate
- Healthcare
- Retail / E-commerce
- IT & Telecom
Do we offer product manager and product owner consulting?
- Product Best Practice Consultants
- Agile Transformation Consultants
- Agile Coaches
- Agile Consultants
- Executive Coaching for Improving Product processes and systems
What skill levels do you offer?
- Junior
- Mid-Level
- Senior
- Architect
- Lead
- Supervisor
- Manager
- Director
- VP
Do you provide talent onsite?
- On-Site
- Remote
- Hybrid
- Nearshore
- Offshore
Amazon AWS
Micfrosoft Azure
Google Cloud Platform GCP
Typical Deployment Platforms
AWS SageMaker
Google AI Platform
Microsoft Azure Machine Learning
Typical Cloud Environments
Typical Data Pipelines
Apache Airflow
Luigi
Prefect
Typical Machine Learning Languages & Frameworks
Python
TensorFlow
PyTorch
scikit-learn
pandas
R
NumPy
Ruby on Rails
Keras
MXNet
Caffe
XGBoost and LightGMB
H20.ai
Fastai
Apache Spark
Express.js
Typical Backend Environments
Java
.NET
Node
Ruby
Python
PHP & More!
Typical Industries We Serve
- Manufacturing
- Financial / Banking / Insurance / Real Estate
- Healthcare
- Retail / Ecommerce
- IT & Telecom
- Government
- Education
- Agriculture
- Energy / Natural Resources
- Services
Typical Tech Stacks
- Microservices
- Cloud Native
- Mobile
- Agile
- CI/CD – Continuous Integration and Deployment
- TDD and BDD
- DevOps
- API
- Integrations
- Application Customization
- Functional programming
Talent Anywhere
On-Site
Remote
Hybrid
Talent at Any Level
- Junior
- Mid-Level
- Senior
- Architect
- Lead
- Supervisor
- Manager
- Director
- VP

Ways We Help Tech Hiring Managers
We partner with hiring managers and tech leaders to only carefully introduce talent. They trust us to introduce them to talent that matches their tech stack and culture. We support hiring managers and talent every step of the way.
Introduce you to vetted talent
Find talent in your budget
Setup interviews for you
Coordinate onboarding
Provide coaching & feedback
Provide career support
Talent Satisfaction
- ProFocus Net Performer Score (NPS) 87.5%
- Average Staffing Industry 18%
Client Satisfaction
- ProFocus Net Performer Score (NPS) 83.3%
- Average Staffing Industry 41%
ClearlyRated’s Best in Staffing surveys calculate a Net Promoter Score (NPS) based on how likely a person is to recommend a company to a friend or colleague on a scale of 0-10, with ten being extremely likely and zero not likely at all.
Talent Success Stories
Consultant Benefits
When you contract with us, you are part of the ProFocus team. We offer a great benefits package which includes health insurance, disability, life insurance, EAP, 401k, and education reimbursements.
Award-Winning Tech Staffing & Services





