Machine Learning Engineer (Remote)
We have an immediate need for a contract Machine Learning Engineer to join our client, a world-class medical center.
Location: Remote working Pacific Time Zone hours
This job expects to pay about $70 – 80 per hour plus benefits.
What Gets You The Job:
- Bachelor's Degree in computer science, artificial intelligence, informatics, or a closely related field. Master's preferred.
- 3 or more years of relevant Machine Learning Engineer experience.
- Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
- Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
- Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
- AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
- Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
- Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
- Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
- Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
- Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
- Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
- Proficiency in Containerization Technologies: Experience with Docker, Kubernetes, or similar tools.
- Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
- Certification(s) in Machine Learning a plus.
Irvine Technology Corporation (ITC) is a leading provider of technology and staffing solutions for IT, Security, Engineering, and Interactive Design disciplines servicing startups to enterprise clients, nationally. We pride ourselves in the ability to introduce you to our intimate network of business and technology leaders – bringing you opportunity coupled with personal growth and professional development! Join us. Let us catapult your career!
Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
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