MLops Program Manager
Seattle, WA · On-site
MLops Program Manager • Location Redmond, WA (Remote for initial 3 months) Start Date Immediate Duration 6+ months Skills Required Experience & Skills: * Experience with Azure Machine Learning or ...
MLops Program Manager
Seattle, WA · On-site
MLops Program Manager • Location Redmond, WA (Remote for initial 3 months) Start Date Immediate Duration 6+ months Skills Required Experience & Skills: * Experience with Azure Machine Learning or ...
MLOPS Engineer
Malvern, PA · On-site
$50 - $60/hr
Role: MLOps Engineer Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite) Duration ... Knowledge in the life cycle management of Machine Learning models. * Proficiency with Machine ...
Quick apply
MLOPS Engineer
Malvern, PA · On-site
$50 - $60/hr
Role: MLOps Engineer Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite) Duration ... Knowledge in the life cycle management of Machine Learning models. * Proficiency with Machine ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
MLOps Engineer
Dallas, TX · Hybrid
$55.50 - $74/hr
Ability to design and implement MLOPs cloud solutions, considering scalability, security, and ... Ability to manage permissions and access control using Identity and Access Management. o Lambda:
MLOps Engineer
Dallas, TX · Hybrid
$55.50 - $74/hr
Ability to design and implement MLOPs cloud solutions, considering scalability, security, and ... Ability to manage permissions and access control using Identity and Access Management. o Lambda:
MLOps Platform Engineer
Chicago, IL · Hybrid
MLOps Platform Engineer MLOps Platform | AI/ML Lifecycle | Enterprise Data & Analytics Full-Time | ... Management, and more! Salary Expectations: 125,000-133,000 per year
MLOps Platform Engineer
Chicago, IL · Hybrid
MLOps Platform Engineer MLOps Platform | AI/ML Lifecycle | Enterprise Data & Analytics Full-Time | ... Management, and more! Salary Expectations: 125,000-133,000 per year
MLOps Engineer
Raleigh, NC · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Raleigh, NC · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Charlotte, NC · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Charlotte, NC · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Richmond, VA · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Richmond, VA · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Orlando, FL · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Orlando, FL · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Baltimore, MD · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Baltimore, MD · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM ... Key Responsibilities Deploy, manage, and scale ML/DL models in production Build and operate ...
MLOps Engineer MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM ... Key Responsibilities Deploy, manage, and scale ML/DL models in production Build and operate ...
MLOps Architect
Arlington, VA · On-site
$117K - $189K/yr
MLOps & GenAI Platform Architecture * Design and implement scalable ML and LLM infrastructure on ... Managed services (e.g., SageMaker endpoints, Bedrock-style APIs) * Containerized custom inference ...
Quick apply
MLOps Architect
Arlington, VA · On-site
$117K - $189K/yr
MLOps & GenAI Platform Architecture * Design and implement scalable ML and LLM infrastructure on ... Managed services (e.g., SageMaker endpoints, Bedrock-style APIs) * Containerized custom inference ...
MLOps Engineer
Nashville, TN · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Nashville, TN · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Fort Lauderdale, FL · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Fort Lauderdale, FL · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Atlanta, GA · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Atlanta, GA · On-site
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
Mlops Manager information
What is the difference between Mlops Manager vs Data Scientist?
| Aspect | Mlops Manager | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Engineering, or related; certifications in cloud platforms or MLOps tools | Bachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning |
| Work Environment | Collaborates with engineering, DevOps, and data teams to deploy and maintain ML systems | Analyzes data, builds models, and provides insights to inform business decisions |
| Employer & Industry Usage | Tech companies, AI startups, enterprises implementing ML pipelines | Research institutions, tech firms, finance, healthcare, and marketing sectors |
The Mlops Manager focuses on deploying, maintaining, and optimizing machine learning systems within an organization, working closely with engineering and DevOps teams. In contrast, a Data Scientist primarily analyzes data, develops models, and provides insights. While both roles require knowledge of machine learning, the Mlops Manager emphasizes operationalizing ML solutions, whereas the Data Scientist emphasizes data analysis and modeling.
What are the key skills and qualifications needed to thrive as an MLOps Manager, and why are they important?
To thrive as an MLOps Manager, you need expertise in machine learning, software engineering, and DevOps practices, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and certifications such as AWS Certified Machine Learning or Google Cloud Professional ML Engineer are highly beneficial. Strong leadership, problem-solving, and cross-functional communication skills help manage teams and bridge the gap between data science and IT operations. These abilities are crucial for ensuring reliable, scalable, and efficient deployment of machine learning solutions in production environments.
What are some common challenges an MLOps Manager faces when integrating machine learning models into production environments?
MLOps Managers often encounter challenges such as ensuring seamless collaboration between data science and engineering teams, managing model versioning, and maintaining reliable deployment pipelines. Balancing rapid experimentation with the need for robust, scalable, and secure production systems can be complex. Additionally, monitoring model performance post-deployment and handling data drift or model degradation are ongoing responsibilities. Effective communication and establishing standardized processes are key to overcoming these challenges and ensuring successful model operations.
What are MLOps Managers?
MLOps Managers are professionals responsible for overseeing the deployment, operation, and scaling of machine learning models in production environments. They coordinate teams to ensure seamless collaboration between data scientists, engineers, and IT staff, facilitating the automation of machine learning workflows. Their role involves managing infrastructure, optimizing processes for model monitoring and maintenance, and ensuring compliance with organizational and industry standards. MLOps Managers play a key role in bridging the gap between model development and operationalization, ensuring that machine learning solutions are reliable, reproducible, and scalable.
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Full-time
Posted 4 days ago
Job description
MLops Program Manager
• Location
Redmond, WA (Remote for initial 3 months)
Start Date
Immediate
Duration
6+ months
Skills Required
Experience & Skills:
Nice to have: knowledge on Docker, Bash, Open AI model catalogues
Detailed JD / Responsibility
Roles & Responsibilities:
• Location
Redmond, WA (Remote for initial 3 months)
Start Date
Immediate
Duration
6+ months
Skills Required
Experience & Skills:
- Experience with Azure Machine Learning or MLOps, Machine Learning algorithms & concepts, Ability to create, optimize and deploy models.
Nice to have: knowledge on Docker, Bash, Open AI model catalogues
- Excellent communication & collaboration skills
- Technical project management experience in technology services context
- Very strong analytical thinking ability is required. Crucial aspect of this role is the ability to anticipate potential risks, dependencies & conflicts.
Detailed JD / Responsibility
Roles & Responsibilities:
- Develop and track plan, deliverable timelines & dependencies
- Coordinate with various systems engineering teams to validate plan, manage risks and issues
- Build deep understanding of system processes and business impact, coordinate with various business stakeholders to ensure alignment of deliverables to business needs and priorities
- Coordinate with Business stakeholders / Offshore team