Applied AI Engineer

Required Skills

Python
Machine Learning
JSON

Job Description

Job Title: Applied AI Engineer


Job Type: Contractual


Location: Remote


Job Summary

Join our customer’s team as an Applied AI Engineer, where you will drive real-world impact by developing and deploying advanced AI solutions. You will collaborate with forward-thinking engineers and domain experts, leveraging your technical expertise to turn data into actionable insights. This is a unique opportunity to contribute to cutting-edge projects in a dynamic and fully remote environment.


Key Responsibilities

  1. Design, develop, and implement machine learning models to solve diverse business challenges.
  2. Collaborate cross-functionally to identify opportunities for AI integration and innovation.
  3. Preprocess, analyze, and interpret complex datasets using Python and related data tools.
  4. Develop APIs and data pipelines for seamless model integration and operationalization.
  5. Optimize models for performance, scalability, and robustness in production environments.
  6. Document methodologies, results, and workflows with clear, concise written communication.
  7. Communicate technical concepts to both technical and non-technical stakeholders effectively.


Required Skills and Qualifications

  1. Strong proficiency in Python for data analysis, modeling, and automation.
  2. Extensive hands-on experience with machine learning frameworks and libraries.
  3. Expertise in working with JSON data structures and API integrations.
  4. Ability to translate business requirements into deployable AI solutions.
  5. Excellent written and verbal communication skills, demonstrating a "care a lot" mindset for clarity and collaboration.
  6. Experience with version control systems and collaborative development tools.
  7. Self-driven, detail-oriented, and adaptable to a fast-paced remote work environment.


Preferred Qualifications

  1. Background in deploying machine learning solutions in cloud environments.
  2. Familiarity with MLOps tools and best practices.
  3. Previous experience working with distributed remote teams.

Apply now

Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

Have any questions? See FAQs

Refer and Earn$100