Jobot
Machine Learning Engineer – Remote, Full‑Time
Fully remote position with excellent benefits, located in the USA. Applicants must live in the PST or MDT time zones; CST candidates considered, EST candidates not eligible.
Base Pay Range $150,000 – $180,000 per year.
Minimum Education
Bachelor’s degree in computer science, artificial intelligence, informatics, or a closely related field.
Master’s degree in computer science, engineering, or a closely related field preferred.
Minimum Experience
3 or more years of relevant Machine Learning Engineer experience.
Proven experience with AI/ML platforms (AWS, Azure, GCP), containerization (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions), programming languages (Python, R, SQL), MLOps principles, agile methodologies, and DevOps lifecycle management.
Healthcare data and machine learning use cases, including understanding healthcare regulations, standards, and EHR systems.
Required Qualifications
Experience managing end‑to‑end ML lifecycle.
Experience managing automation with Terraform.
Containerization technologies (Docker) or orchestration platforms (Kubernetes).
CI/CD tools (GitHub Actions).
Programming languages (Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes.
Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP.
Ability to articulate the advantages and applications of the RAG framework with LLMs.
Accountabilities
Production deployment and model engineering – deploy and maintain production‑grade ML models with real‑time inference, scalability, and reliability.
Scalable ML infrastructure – develop end‑to‑end scalable ML infrastructures on cloud platforms (AWS, GCP, Azure).
Engineering leadership – lead efforts in creating and implementing workflow methods for ML/GenAI model engineering, LLM advancements, and deployment frameworks aligned with business strategy.
AI pipeline development – build AI pipelines for data ingestion, preprocessing, and retrieval, ensuring solutions meet technical and business requirements.
Collaboration – work with data scientists, engineers, analytics teams, and DevOps to design robust deployment pipelines.
CI/CD pipeline expertise – implement and optimize CI/CD pipelines for ML models, automating testing and deployment.
Monitoring & logging – set up monitoring and logging solutions to track model performance, system health, and anomalies.
Version control – implement version control for models and code.
Security & compliance – ensure ML systems meet security and compliance standards, including data protection and privacy regulations.
Documentation – maintain clear and comprehensive documentation of ML Ops processes.
Equal Opportunity Employer Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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Base Pay Range $150,000 – $180,000 per year.
Minimum Education
Bachelor’s degree in computer science, artificial intelligence, informatics, or a closely related field.
Master’s degree in computer science, engineering, or a closely related field preferred.
Minimum Experience
3 or more years of relevant Machine Learning Engineer experience.
Proven experience with AI/ML platforms (AWS, Azure, GCP), containerization (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions), programming languages (Python, R, SQL), MLOps principles, agile methodologies, and DevOps lifecycle management.
Healthcare data and machine learning use cases, including understanding healthcare regulations, standards, and EHR systems.
Required Qualifications
Experience managing end‑to‑end ML lifecycle.
Experience managing automation with Terraform.
Containerization technologies (Docker) or orchestration platforms (Kubernetes).
CI/CD tools (GitHub Actions).
Programming languages (Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes.
Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP.
Ability to articulate the advantages and applications of the RAG framework with LLMs.
Accountabilities
Production deployment and model engineering – deploy and maintain production‑grade ML models with real‑time inference, scalability, and reliability.
Scalable ML infrastructure – develop end‑to‑end scalable ML infrastructures on cloud platforms (AWS, GCP, Azure).
Engineering leadership – lead efforts in creating and implementing workflow methods for ML/GenAI model engineering, LLM advancements, and deployment frameworks aligned with business strategy.
AI pipeline development – build AI pipelines for data ingestion, preprocessing, and retrieval, ensuring solutions meet technical and business requirements.
Collaboration – work with data scientists, engineers, analytics teams, and DevOps to design robust deployment pipelines.
CI/CD pipeline expertise – implement and optimize CI/CD pipelines for ML models, automating testing and deployment.
Monitoring & logging – set up monitoring and logging solutions to track model performance, system health, and anomalies.
Version control – implement version control for models and code.
Security & compliance – ensure ML systems meet security and compliance standards, including data protection and privacy regulations.
Documentation – maintain clear and comprehensive documentation of ML Ops processes.
Equal Opportunity Employer Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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