MLOps and CI/CD automation * Cloud infrastructure and DevOps * Data lifecycle management * Risk and dependency management * Resource planning and forecasting * Executive reporting and stakeholder ...
MLOps and CI/CD automation * Cloud infrastructure and DevOps * Data lifecycle management * Risk and dependency management * Resource planning and forecasting * Executive reporting and stakeholder ...
$147K - $211K/yr
Account for any GCP implementation with MLOps and Agentic AI tools in Vertex AI * Enhance ... GCP Professional certifications (Cloud Architect, DevOps Engineer, or Data Engineer). * Experience ...
$147K - $211K/yr
Account for any GCP implementation with MLOps and Agentic AI tools in Vertex AI * Enhance ... GCP Professional certifications (Cloud Architect, DevOps Engineer, or Data Engineer). * Experience ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. * 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model ...
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. * 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model ...
OR · On-site
$104K - $143K/yr
Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and ... data integrity, traceability, and operational reliability * Evaluate and integrate emerging MLOps ...
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. * 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model ...
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. * 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer - Databricks
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer - Databricks
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Palantir
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Palantir
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation * Experience with machine learning operations (MLOps) or large language model ...
Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation * Experience with machine learning operations (MLOps) or large language model ...
Senior Forward Deployed Engineer, Snowflake
Portland, OR · On-site
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Snowflake
Portland, OR · On-site
$110K - $152K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site +1
$121K - $167K/yr
Design end-to-end ML pipelines including Data ingestion, feature engineering, model training ... MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site +1
$121K - $167K/yr
Design end-to-end ML pipelines including Data ingestion, feature engineering, model training ... MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or ...
$55.75 - $74.50/hr
Partner with Data & AI teams to operationalize AI workloads safely and compliantly within Google Cloud environments. DevOps, Automation & MLOps Foundations * Build secure CI/CD pipelines for ...
$55.75 - $74.50/hr
Partner with Data & AI teams to operationalize AI workloads safely and compliantly within Google Cloud environments. DevOps, Automation & MLOps Foundations * Build secure CI/CD pipelines for ...
Senior Backend Software Engineer, ObservoAI
OR · Remote
$122K - $161K/yr
Medical
Dental
Vision
Life
Retirement
Drive the development and optimization of ML-driven data routing and transformation engines to ... and MLOps practices for production ML systems. * Expert knowledge of observability tools and ...
Senior Backend Software Engineer, ObservoAI
OR · Remote
$122K - $161K/yr
Medical
Dental
Vision
Life
Retirement
Drive the development and optimization of ML-driven data routing and transformation engines to ... and MLOps practices for production ML systems. * Expert knowledge of observability tools and ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site
$121K - $167K/yr
Design end-to-end ML pipelines including Data ingestion, feature engineering, model training ... MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site
$121K - $167K/yr
Design end-to-end ML pipelines including Data ingestion, feature engineering, model training ... MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or ...
AI Engineer, Sr
$109K - $150K/yr
Implement data pipelines and feature engineering processes to support reliable model training and ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
AI Engineer, Sr
$109K - $150K/yr
Implement data pipelines and feature engineering processes to support reliable model training and ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
AI Engineer, Sr
Newberg, OR · On-site
$109K - $150K/yr
Implement data pipelines and feature engineering processes to support reliable model training and ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
AI Engineer, Sr
Newberg, OR · On-site
$109K - $150K/yr
Implement data pipelines and feature engineering processes to support reliable model training and ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
AI Engineer, Sr
Newberg, OR · On-site
$109K - $150K/yr
Required : • Bachelor's degree in computer science, engineering, data science, mathematics, or a ... with MLOps practices including model monitoring, versioning, and lifecycle management • ...
AI Engineer, Sr
Newberg, OR · On-site
$109K - $150K/yr
Required : • Bachelor's degree in computer science, engineering, data science, mathematics, or a ... with MLOps practices including model monitoring, versioning, and lifecycle management • ...
OR · On-site
Dental
Vision
Retirement
PTO
You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow for enterprise-scale ML.
Mlops Data Engineer information
What is the difference between Mlops Data Engineer vs Data Scientist?
| Aspect | Mlops Data Engineer | Data Scientist |
|---|---|---|
| Required Skills | Machine learning deployment, cloud platforms, scripting, data pipelines | Statistical analysis, programming, data visualization, machine learning modeling |
| Certifications | Cloud certifications, ML engineering courses | Data science certifications, statistical courses |
| Work Environment | Data pipelines, cloud infrastructure, ML deployment systems | Data analysis, modeling, research environments |
| Industry Usage | Tech companies, AI-focused firms, cloud service providers | Research institutions, analytics firms, tech companies |
The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.
Are MLOps Data Engineers in demand?
What are the key skills and qualifications needed to thrive as an MLOps data engineer?
What are some common challenges MLOps data engineers face when deploying machine learning models into production?
What is an MLOps data engineer?
What is the salary of MLOps Data Engineer?
Aptive Environmental rating
5.6
Based on 39 frontline employees who took The Breakroom Quiz
30th of 35 rated pest control companies
Job description
We are seeking a highly organized and technically savvy Program Manager with expertise in AI pipeline management to support Department of Veterans Affairs (VA) initiatives focused on AI/ML operations, healthcare analytics, automation, and scalable digital transformation. This role will oversee the planning, coordination, execution, and optimization of AI development pipelines across data engineering, model development, deployment, governance, cybersecurity, and operational monitoring within a federal healthcare environment.
The ideal candidate combines strong program management capabilities with hands-on understanding of AI workflows, MLOps, cloud infrastructure, federal compliance requirements, and enterprise-scale healthcare technology delivery practices. The Program Manager will work closely with VA stakeholders, clinical and business teams, engineers, architects, and federal leadership to ensure successful delivery of secure, compliant, and mission-driven AI solutions that improve Veteran outcomes and operational efficiency.
Primary ResponsibilitiesProgram & Portfolio Management
- Lead enterprise AI initiatives from planning through deployment and operationalization.
- Manage timelines, budgets, dependencies, risks, and stakeholder communications across multiple AI programs.
- Coordinate cross-functional teams including data scientists, ML engineers, software engineers, cloud architects, security, and business stakeholders.
- Establish program governance frameworks, KPIs, and reporting structures.
AI Pipeline Management
- Design, optimize, and oversee AI/ML lifecycle pipelines including:
- Data ingestion and preprocessing
- Model training and validation
- CI/CD for ML models
- Model deployment and monitoring
- Retraining and performance management
- Collaborate with engineering teams to improve automation, scalability, and reliability of AI workflows.
- Ensure integration of AI systems with enterprise platforms and business applications.
- Drive implementation of MLOps best practices and standardized delivery frameworks.
Operational Excellence
- Monitor AI pipeline performance, SLAs, and operational metrics.
- Identify bottlenecks and implement process improvements.
- Ensure compliance with security, privacy, governance, and responsible AI standards.
- Support incident management and root cause analysis related to AI systems.
Stakeholder Engagement
- Translate technical AI concepts into business-focused updates and recommendations.
- Facilitate executive-level reporting and strategic planning.
- Align AI program objectives with organizational goals and digital transformation initiatives.
- Master's degree in Computer Science, Engineering, Information Systems, Business, or related field.
- PMP, PgMP, Scrum Master, SAFe, or Agile certification.
- 5+ years of program or project management experience.
- 3+ years managing AI/ML, data engineering, or MLOps initiatives.
- Strong understanding of AI/ML lifecycle management and cloud-based AI platforms.
- Experience with Agile, Scrum, SAFe, or hybrid delivery methodologies.
- Proven experience managing enterprise-scale technical programs.
- Excellent communication, organizational, and leadership skills.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with tools and technologies such as:
- MLflow
- Airflow
- Databricks
- Jenkins/GitHub Actions
- Python
- Terraform
- Snowflake
- Knowledge of AI governance, model risk management, and responsible AI practices.
- Experience in VA or other Federal Agencies
Technical Skills
- AI/ML pipeline orchestration
- MLOps and CI/CD automation
- Cloud infrastructure and DevOps
- Data lifecycle management
- Risk and dependency management
- Resource planning and forecasting
- Executive reporting and stakeholder management
Soft Skills
- Strategic thinker with strong analytical abilities
- Strong leadership and team coordination capabilities
- Excellent problem-solving and decision-making skills
- Ability to manage competing priorities in fast-paced environments
- Strong collaboration and communication skills across technical and non-technical teams
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.
We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.
Founded: 2012Employees: 300+ nationwide
EEO StatementAptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.
Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.
Employment Type: FULL_TIMEWhat Aptive Environmental employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Aptive Environmental
Sourced by ZipRecruiter
Industry
Chemical manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Provo, UT, US
Year founded
2015