Overview
On Site
$70 - $71 hr
Contract - Independent
Contract - W2
Contract - 12+ mo(s)
Skills
MLOPS ENGINEER
MLOPS PLATFORM ENGINEER
MACHINE LEARNING ENGINEER
ML ENGINEER
MLOPS
MACHINE LEARNING OPERATIONS
MLFLOW
KUBEFLOW
SELDON
PYTHON
GOLANG
JAVA
AWS
AMAZON WEB SERVICES
DOCKER
KUBERNETES
CI/CD
DEVOPS
TERRAFORM
CLOUDFORMATION
MONITORING
OBSERVABILITY
MODEL MONITORING
DATA DRIFT
CONCEPT DRIFT
Job Details
Payrate: $70.00 - $71.00/hr.
Position s Contributions to Work Group:
Typical task breakdown:
Education & Experience Required:
Required Technical Skills:
Nice to Have:
Soft Skills:
Pay Transparency: The typical base pay for this role across the U.S. is: $70.00 - $71.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#26-00162
Position s Contributions to Work Group:
- The MLOps Platform Team works within the Enterprise Data and Analytics Organization.
- Driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production.
- Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models.
- We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow.
- The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
- You have ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models.
Typical task breakdown:
- Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
- Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training.
- Collaborate with internal stakeholders to build a comprehensive MLOps Platform
- Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Develop standards and examples to accelerate the productivity of data science teams.
- Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift
- Create way to automate the testing, validation, and deployment of data science models
- Provide best practices and execute POC for automated and efficient MLOps at scale
Education & Experience Required:
- Bachelors degree with 5+ years experience
- Master s degree with 3+ years experience
Required Technical Skills:
- 5+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
- Experience with MLOps frameworks like MLflow, Kubeflow, etc.
- Proficiency in programming (Python, R, SQL)
- Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
- Experience with containerization technologies like Docker and Kubernetes
- Strong communication and collaboration skills
- Ability to help work with a team to create User Stories and Tasks out of higher-level requirements.
Nice to Have:
- Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow.
- Knowledge of inference systems like Seldon, Kubeflow, etc.
- Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile.
- Knowledge of infrastructure orchestration using ClodFormation or Terraform
- Exposure to observability tools (such as Evidently AI)
Soft Skills:
- Someone who takes the initiative on their own
- Someone who does not need to be micromanaged.
Pay Transparency: The typical base pay for this role across the U.S. is: $70.00 - $71.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#26-00162
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.