Jobot Consulting
Overview
Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by Robert Reyes. Salary $120,000 - $180,000 per year. Base pay range: $120,000.00/yr - $180,000.00/yr. This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Responsibilities
Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications
Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field. Master’s degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., 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. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Employment Type
Contract Job Functions & Industry
Engineering and Information Technology IT Services and IT Consulting and Software Development 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 these protected categories. Jobot reserves the right to conduct background checks as allowed by law. Information collected as part of your Jobot candidate profile is subject to Jobot’s Privacy Policy and related notices, available at jobot.com/legal. If you’re interested in hearing more, Easy Apply by clicking the button and sending your resume. By applying for this job, you agree to receive communications from Jobot and its partners. Message and data rates may apply. You can opt out at any time.
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Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by Robert Reyes. Salary $120,000 - $180,000 per year. Base pay range: $120,000.00/yr - $180,000.00/yr. This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Responsibilities
Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications
Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field. Master’s degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., 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. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Employment Type
Contract Job Functions & Industry
Engineering and Information Technology IT Services and IT Consulting and Software Development 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 these protected categories. Jobot reserves the right to conduct background checks as allowed by law. Information collected as part of your Jobot candidate profile is subject to Jobot’s Privacy Policy and related notices, available at jobot.com/legal. If you’re interested in hearing more, Easy Apply by clicking the button and sending your resume. By applying for this job, you agree to receive communications from Jobot and its partners. Message and data rates may apply. You can opt out at any time.
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