Machine Learning Engineer Contract

Job description

THE COMPANY

We’re rapidly growing and looking for driven and customer-obsessed professionals to help our team revolutionize the career-services industry.

Career.io is dedicated to creating a better landscape for job seekers everywhere. Through our community of career experts and data insights, our brands —we empower professionals to take control of their careers, tell the best version of their career stories, and reach their full potential.

We’re committed to helping job seekers write the next chapter of their careers and we want to help write yours, too! We hire for growth and longevity because we value the happiness and well-being of our employees.

This is a 100% remote/work-from-home role. This is a temporary 6 month contract position.

THE ROLE

Career.io is seeking a highly experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems and drive data-driven decision-making. You will collaborate closely with data scientists, software engineers, and other stakeholders to deploy machine learning solutions in production environments.

MUST HAVE:

  • ML experience with both classical ML  and deep learning (PyTorch/TensorFlow), with a proven track record shipping ML products end-to-end
  • Optimization and causal inference expertise including multi-objective optimization, constraint satisfaction, and counterfactual/scenario modeling for decision support systems
  • Familiarity with LLMs and generative AI with basic understanding of how to integrate LLM APIs, or willingness to quickly learn prompt engineering and RAG concepts
  • Strong software engineering fundamentals with ability to handle messy real-world data, build scalable systems, and communicate technical concepts to non-technical stakeholders
  • Experience with data preprocessing, feature engineering, and data visualization.
  • Understanding of supervised and unsupervised learning techniques.
  • Familiarity with deep learning architectures and neural networks.
  • Proficiency in using cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling.
  • Strong problem-solving skills and the ability to work with complex, unstructured data.
  • Excellent communication and teamwork skills to collaborate with cross-functional teams.
  • Experience with version control systems like Git.
  • Knowledge of data privacy and security considerations in machine learning.
  • Ability to work independently and adapt to fast-paced, evolving projects.

NICE TO HAVE:

  • Experience with reinforcement learning.
  • Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Contributions to open-source machine learning projects or publications in the field.
  • Experience with automated machine learning (AutoML) tools and platforms

At Career.io, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer.

Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.

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