Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more, please visit thenewcadent.com.

Right now, we are looking for a highly motivated Associate Machine Learning Engineer to help power our Data Science department. You will be responsible for assisting in the process of scaling, deploying, and maintaining our advanced machine learning models. This role is the critical bridge between data science research and production-grade software. You will work on architecting and implementing big data solutions, support data and model governance, and apply software development best practices to machine learning systems.

Associate Machine Learning Engineers collaborate directly with Business, Product, Data Engineering, Data Science, and QA team members to productize AI/ML research and drive business growth. Output from this role will be leveraged by business, engineers, and by senior executives to define the future of Cadent.

• Assist in Deploying, Maintaining, and Scaling Production ML Models: Work with data scientists to adapt, containerize, and deploy model prototypes. You will help build and manage the CI/CD pipelines that automate model training, evaluation, and deployment, ensuring they are robust and efficient.
• Contribute to Cloud and Big Data Infrastructure: Help build and maintain the cloud infrastructure (GCP) needed to process data and serve models at scale. You will use Infrastructure as Code (IaC) tools and cloud SDKs to manage resources in a repeatable and secure way.
• Support Model and Data Governance: Assist in implementing and monitoring the frameworks that ensure our models are performant, stable, and transparent. You will help track model metrics and contribute to the documentation of our data pipelines and ML systems.
• Apply Software Engineering Best Practices: Write clean, testable, and maintainable code. You will participate in code reviews and apply best practices for version control (Git), testing, and verification to the machine learning lifecycle.
• Drive Impact Through Collaboration: Work closely with data scientists, data engineers, DevOps, CloudOps, NetOps, SRE, and FinOps to ensure models are successful, reliable, and cost-effective when integrated into our business software products. Participate actively in the Agile/Scrum process to align on team goals and deliver value iteratively.
  
  

• M.S. in Computer Science, Engineering, or a related quantitative field; or a B.S. with the equivalent of 1-2 years of experience in a software engineering, data engineering, or machine learning-focused role.
• Strong proficiency in Python and a solid understanding of object-oriented programming. Experience with SQL for querying and manipulating data.
• Experience with a major cloud platform (AWS/GCP) is required. Hands-on experience with Infrastructure as Code (e.g., Terraform) or cloud SDKs (e.g. Google Cloud Client Libraries) is a strong plus.
• A solid understanding of the end-to-end machine learning process, from data preparation and model training to evaluation and deployment. Practical experience with ML frameworks like scikit-learn or PyTorch is preferred.
  Knowledge of version control (Git), containerization (Docker), and CI/CD concepts.
• A passion for technology and a desire to learn. The ideal candidate is someone who seeks to understand how things work, takes ownership of their tasks, and is eager to grow their skills in MLOps / ML Engineering, cloud computing, and software engineering.
• The ability to communicate effectively with both technical and non-technical stakeholders and to collaborate with a diverse team of engineers and scientists.

So, if the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!

Cadent is an Equal Opportunity Employer and is committed to supporting all it’s employees when it comes to Inclusion & Diversity. Cadent’s policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations.

Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally.