Machine Learning Operations Engineer
Machine Learning Operations Engineer
Posted on :
03-01-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
03-01-2025
Job Description
Description:
Note to Suppliers: Each supplier may submit up to 1 candidate. Please ensure you present only your TOP candidates DO NOT submit just to meet the quota.
Fieldglass Comments Section: Provide a snapshot of key information. (Do not include this on the resume.)
Candidate s Location: Specify the city.
Skillset Alignment: Highlight how the candidate s skills align with the role s requirements.
Requested Time Off: Mention any requested time off such as vacation.
Work Authorization Status: Indicate the candidate s work authorization status.
Is the candidate comfortable with working Pacific Time Zone hours regardless of physical location
Location: Must be able to work Pacific Time Zone hours regardless of physical location.
Work location: 2011 N. Soto St Los Angeles CA 90032
Campus or Medical Enterprise: Medical Enterprise
Working Job Title: Machine Learning Engineer
Number of needs: 1
Duration of Assignment: This contract is for a duration of 12 months with a possibility of extension. However no guarantees are provided regarding the extension
Max Bill Rate: XX115 XX124.00 (based on experience)
Mark up: 40 %
Work hours: 85
2 3 steps Video/ Teams interview process
Dress code: Business Casual
MustHaves for the Role:
Must be able to work Pacific Time Zone hours regardless of physical location.
Education:
Bachelor s degree in computer science artificial intelligence informatics or a closely related field.
Master s degree is a plus.
Experience:
***At least 3 years of relevant experience as a Machine Learning Engineer.
Proven experience in deploying and maintaining productiongrade machine learning models ensuring realtime inference scalability and reliability.
Technical Expertise:
Proficiency in developing endtoend scalable ML infrastructures using onpremise or cloud platforms such as AWS GCP or Azure.
Strong skills in creating and optimizing CI/CD pipelines for machine learning models including automating testing and deployment processes.
Experience in developing AI pipelines for data ingestion preprocessing search and retrieval.
Competence in setting up monitoring and logging solutions for tracking model performance system health and anomalies.
Familiarity with version control systems for tracking changes in ML models and associated code.
Understanding of security and compliance standards related to machine learning systems including data protection and privacy regulations.
Leadership and Collaboration:
Ability to lead engineering efforts in ML/GenAI model development LLM advancements and optimizing deployment frameworks aligned with business strategies.
Demonstrated ability to collaborate with crossfunctional teams including data scientists data engineers analytics teams and DevOps teams.
Documentation and Process Management:
Skilled in maintaining clear and comprehensive documentation of ML Ops processes workflows and configurations.
Preferred Qualifications:
Proficiency in containerization technologies such as Docker and Kubernetes.
Knowledge of healthcare standards regulations and systems including integrating ML models with Electronic Health Records (EHR) systems.
Certifications in machine learning or related fields.
Medical Enterprise NonClinical Onboarding Must complete all onboarding requirements prior to the start date with no exceptions.
Medical Enterprise NonClinical Onboarding Requirements:
Background Education and Employment
Background Check:
Social Security Trace: 7 years worked and lived found by SSN Trace
County Criminal F&M: 7 years
Federal Criminal: 7 years
Widescreen Plus National Criminal Search
National Sex Offender Registry
Healthcare Sanctions State
OIG/SAM
Education:
SEE JD
Employment:
Verification of 3 Employers with 2 out of 3 verified
Other Requirements:
HIPAA Training
Application
Temporary Worker Agreement
Harassment & Discrimination Pamphlet
Medical Requirements:
Immunizations:
MMR (Measles Mumps Rubella): Proof of immunity or series of 2 shots
Varicella (Chickenpox): Proof of immunity or series of 2 shots
Hepatitis B: Proof of immunity or series of 3 shots; worker can decline with a declination form on file
TB Test:
Annual test required; results must be read within 24 to 48 hours
Positive TB history requires chest xray results
Drug Screen:
Must be taken within 72 hours or the offer is rescinded.
10panel drug test including:
o Amphetamines
o Barbiturates
o Benzodiazepines
o metabolite
o Opiates (Codeine Morphine)
o Hydrocodone
o Hydromorphone
o Oxycodone
o Phencyclidine
o Methadone
o Propoxyphene
Influenza Vaccination:
Required for the current flu season (11/1 through 5/30)
Workers starting after May 1st should wait until after September 1st for the next flu shot season
Accepts signed personal/medical exemption
COVID Vaccinations:
Fully vaccinated with Covid202425 Vaccine
Accepts signed religious/medical exemption
Note: All items are billable except for the drug screen.
Qualified Applicants with arrest or Conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act
Fieldglass Comments Section: Provide a snapshot of key information. (Do not include this on the resume.)
Candidate s Location: Specify the city.
Skillset Alignment: Highlight how the candidate s skills align with the role s requirements.
Requested Time Off: Mention any requested time off such as vacation.
Work Authorization Status: Indicate the candidate s work authorization status.
Is the candidate comfortable with working Pacific Time Zone hours regardless of physical location
Location: Must be able to work Pacific Time Zone hours regardless of physical location.
Work location: 2011 N. Soto St Los Angeles CA 90032
Campus or Medical Enterprise: Medical Enterprise
Working Job Title: Machine Learning Engineer
Number of needs: 1
Duration of Assignment: This contract is for a duration of 12 months with a possibility of extension. However no guarantees are provided regarding the extension
Max Bill Rate: XX115 XX124.00 (based on experience)
Mark up: 40 %
Work hours: 85
2 3 steps Video/ Teams interview process
Dress code: Business Casual
MustHaves for the Role:
Must be able to work Pacific Time Zone hours regardless of physical location.
Education:
Bachelor s degree in computer science artificial intelligence informatics or a closely related field.
Master s degree is a plus.
Experience:
***At least 3 years of relevant experience as a Machine Learning Engineer.
Proven experience in deploying and maintaining productiongrade machine learning models ensuring realtime inference scalability and reliability.
Technical Expertise:
Proficiency in developing endtoend scalable ML infrastructures using onpremise or cloud platforms such as AWS GCP or Azure.
Strong skills in creating and optimizing CI/CD pipelines for machine learning models including automating testing and deployment processes.
Experience in developing AI pipelines for data ingestion preprocessing search and retrieval.
Competence in setting up monitoring and logging solutions for tracking model performance system health and anomalies.
Familiarity with version control systems for tracking changes in ML models and associated code.
Understanding of security and compliance standards related to machine learning systems including data protection and privacy regulations.
Leadership and Collaboration:
Ability to lead engineering efforts in ML/GenAI model development LLM advancements and optimizing deployment frameworks aligned with business strategies.
Demonstrated ability to collaborate with crossfunctional teams including data scientists data engineers analytics teams and DevOps teams.
Documentation and Process Management:
Skilled in maintaining clear and comprehensive documentation of ML Ops processes workflows and configurations.
Preferred Qualifications:
Proficiency in containerization technologies such as Docker and Kubernetes.
Knowledge of healthcare standards regulations and systems including integrating ML models with Electronic Health Records (EHR) systems.
Certifications in machine learning or related fields.
Medical Enterprise NonClinical Onboarding Must complete all onboarding requirements prior to the start date with no exceptions.
Medical Enterprise NonClinical Onboarding Requirements:
Background Education and Employment
Background Check:
Social Security Trace: 7 years worked and lived found by SSN Trace
County Criminal F&M: 7 years
Federal Criminal: 7 years
Widescreen Plus National Criminal Search
National Sex Offender Registry
Healthcare Sanctions State
OIG/SAM
Education:
SEE JD
Employment:
Verification of 3 Employers with 2 out of 3 verified
Other Requirements:
HIPAA Training
Application
Temporary Worker Agreement
Harassment & Discrimination Pamphlet
Medical Requirements:
Immunizations:
MMR (Measles Mumps Rubella): Proof of immunity or series of 2 shots
Varicella (Chickenpox): Proof of immunity or series of 2 shots
Hepatitis B: Proof of immunity or series of 3 shots; worker can decline with a declination form on file
TB Test:
Annual test required; results must be read within 24 to 48 hours
Positive TB history requires chest xray results
Drug Screen:
Must be taken within 72 hours or the offer is rescinded.
10panel drug test including:
o Amphetamines
o Barbiturates
o Benzodiazepines
o metabolite
o Opiates (Codeine Morphine)
o Hydrocodone
o Hydromorphone
o Oxycodone
o Phencyclidine
o Methadone
o Propoxyphene
Influenza Vaccination:
Required for the current flu season (11/1 through 5/30)
Workers starting after May 1st should wait until after September 1st for the next flu shot season
Accepts signed personal/medical exemption
COVID Vaccinations:
Fully vaccinated with Covid202425 Vaccine
Accepts signed religious/medical exemption
Note: All items are billable except for the drug screen.
Qualified Applicants with arrest or Conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act
Additional Details
- Managers Requested Bill Rate : 124.00
- Does the position allow for the worker to be virtual/remote : Yes
- Shore Options Available for this Position : Onshore Only
- Critical Position : No
- Kelly Job Code : DT05
- Operations Group : USC Medical Enterprise IS Department
- Working Job Title : Machine Learning Operations Engineer
- Markup Category : Information Technology
- Shift Details/Expected Working Days and Hours : SEE JD
- Dress Code/Special Attire : Business Casual
- Does this position require driving : No
- Will resource have direct patient contact : No
- HIPAA training required : Yes
- Nearest Parking Location : SEE JD
- Will job responsibilities include working directly with minors : No
Employment Type
Full Time
Key Skills
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