Machine Learning Engineer

Description
As a Machine Learning Engineer you'll work alongside the data annotation platform team dedicated to addressing our evolving annotation data needs for training and evaluating LLMs. We value expertise in data science paired with a robust data engineering foundation. Together we'll architect data pipelines delve into advanced data analysis and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation analysis and model creation. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets then you're the one we've been searching for! We believe in proactive problem-solving minimal supervision and being exceptional teammates who collaborate think and learn as one unit. Let's make a difference together!

What youll be doing:
* Develop and implement ML models: Design develop and deploy scalable machine learning models and algorithms that address complex business challenges
* Improve and experiment with new directions and provide ML solutions in data annotation platform.
* Build models and algorithms to understand user interest user intent and improve content relevancy.
* Responsible for end-to-end design and development starting from requirements gathering with business and engineering partners to deployment to product systems using Agile development methodology.
* Architect solutions for complex data platforms and large scale CI/CD data pipelines using a variety of technologies relational and non-relational databases and data warehouse solutions for data-driven marketing and compliance requirements.
* Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect clean pre-process and transform large and wide datasets. Conduct exploratory data analysis EDA to uncover insights and identify patterns that boost the model performance.
* Collaborate with multidisciplinary teams: Collaborate with product engineers data scientists and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:
* Bachelors Degree in Computer Science or related field or equivalent experience.
* Expertise as a Machine Learning Engineer or a similar role with a consistent record of successfully delivering ML solutions.
* Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow PyTorch or scikit-learn.
* Proficiency in data manipulation analysis and visualization using tools like NumPy pandas and matplotlib.
* Deep understanding of machine learning algorithms statistical models and data structures.
* Familiarity with software development practices and version control systems e.g. Git.
* Ability to run with experimental design A/B testing and evaluation metrics for ML models.

Ways to stand out from the crowd:
* Experience in data annotation platforms synthetic data generation techniques and excellent data analysis skills.
* First-hand experience deploying and maintaining deep learning systems and services in production at scale.
* Demonstrated skills with large language models natural language processing and multi-modal models.
* Self-motivated with a goal to stay updated on the latest methodologies and machine learning technologies.
Job Type & Location
This is a Contract position based out of Santa Clara, CA.
Pay and Benefits
The pay range for this position is $55.40 - $90.65/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Santa Clara,CA.
Application Deadline
This position is anticipated to close on Feb 27, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.