Erwartungsmanagement Anforderungen Mehrjahrige Erfahrung als MLOps Engineer, ML Engineer oder Data ... Engineer Sehr gute Kenntnisse in Kubernetes-/OpenShift-basierten Umgebungen Erfahrung mit ML ...
Erwartungsmanagement Anforderungen Mehrjahrige Erfahrung als MLOps Engineer, ML Engineer oder Data ... Engineer Sehr gute Kenntnisse in Kubernetes-/OpenShift-basierten Umgebungen Erfahrung mit ML ...
Data Engineer
Milwaukee, WI · On-site
$112K - $135K/yr
The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations ...
Data Engineer
Milwaukee, WI · On-site
$112K - $135K/yr
The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations ...
Google Senior Data Engineer
Milwaukee, WI · On-site
$94K - $266K/yr
Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...
Google Senior Data Engineer
Milwaukee, WI · On-site
$94K - $266K/yr
Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...
Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem. 520 - 560 a day Rahmenbedingungen Start: Marz/April ...
Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem. 520 - 560 a day Rahmenbedingungen Start: Marz/April ...
Google Data Specialist
Milwaukee, WI · On-site
$70K - $196K/yr
Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery ... establish MLOps processes (monitoring, retraining, deployment). * Support prompt engineering ...
Google Data Specialist
Milwaukee, WI · On-site
$70K - $196K/yr
Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery ... establish MLOps processes (monitoring, retraining, deployment). * Support prompt engineering ...
Lead Forward Deployed Engineer - AWS
$101K - $133K/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 ...
Lead Forward Deployed Engineer - AWS
$101K - $133K/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- AWS
$103K - $141K/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- AWS
$103K - $141K/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 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 ...
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
Senior AI Engineer
Milwaukee, WI · On-site
$103K - $141K/yr
The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure ... Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and ...
Senior AI Engineer
Milwaukee, WI · On-site
$103K - $141K/yr
The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure ... Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and ...
The Director, Applied AI & ML Engineering will lead the strategy, architecture, and deployment of ... Implement best practices in MLOps, data management, and continuous delivery pipelines. * Deliver ...
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The Director, Applied AI & ML Engineering will lead the strategy, architecture, and deployment of ... Implement best practices in MLOps, data management, and continuous delivery pipelines. * Deliver ...
Senior Forward Deployed Engineer, Microsoft AI&Data
Milwaukee, WI · On-site
$104K - $141K/yr
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...
Senior Forward Deployed Engineer, Microsoft AI&Data
Milwaukee, WI · On-site
$104K - $141K/yr
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...
Ai Engineer
Milwaukee, WI · On-site
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
Ai Engineer
Milwaukee, WI · On-site
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
Ai Engineer
Milwaukee, WI · On-site
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
Ai Engineer
Milwaukee, WI · On-site
This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... MLOps practices (CI/CD, Docker, model serving). * Familiarity with data science libraries and ...
Senior Data Scientist
Milwaukee, WI · On-site
Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...
Senior Data Scientist
Milwaukee, WI · On-site
Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...
Principal Data Architect
Milwaukee, WI · Hybrid
$160K - $190K/yr
You will work closely with engineering, analytics, and platform teams to design scalable data ... Exposure to AI/ML data pipelines or MLOps frameworks * Financial services or investment domain ...
Principal Data Architect
Milwaukee, WI · Hybrid
$160K - $190K/yr
You will work closely with engineering, analytics, and platform teams to design scalable data ... Exposure to AI/ML data pipelines or MLOps frameworks * Financial services or investment domain ...
WI · On-site
$130 - $160/hr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
WI · On-site
$130 - $160/hr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
WI · On-site
$120 - $180/hr
... data, digital infrastructure, and AI-powered innovation. What You Will Do ... Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning ...
WI · On-site
$140 - $190/hr
... data, digital infrastructure, and AI-powered innovation. What You Will Do ... Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning ...
WI · On-site
$140 - $190/hr
... data, digital infrastructure, and AI-powered innovation. What You Will Do ... Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning ...
Mlops Data Engineer information
What is an MLOps data engineer?
MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.
What are the key skills and qualifications needed to thrive as an MLOps data engineer?
To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.
What are some common challenges MLOps data engineers face when deploying machine learning models into production?
MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.
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?
MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.
What is the salary of MLOps Data Engineer?
The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Wisconsin?
For Mlops Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Wisconsin look for?
The top searched job categories for Mlops Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mlops Data Engineer jobs?
Cities in Wisconsin with the most Mlops Data Engineer job openings:
Contractor
Re-posted 21 days ago
Job description
Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und Betrieb regelkonformer, skalierbarer End-to-End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz.
Rahmenbedingungen
Start: ASAP
Laufzeit: Ende 2026, Verlangerung moglich
Auslastung: 100 %
Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache
400 - 450 a day
Aufgaben
Aufbau und Betrieb von End-to-End Data-Science- und ML-Workflows
Implementierung von ML-Orchestrierungslosungen (z. B. Kubeflow Pipelines)
Integration von ML-Tracking- und Experiment-Tools (MLflow, TensorBoard, o. A.)
Automatisierung von Training-, Deployment- und Monitoring-Prozessen
Entwicklung und Pflege von Python-basierten ML-Applikationen
Umsetzung von CI/CD- und GitOps-Prinzipien fur ML-Pipelines
Sicherstellung von Security & Schwachstellenmanagement fur Code, Container und Modelle
Betrieb und Weiterentwicklung produktiver KI-Anwendungen
Einbindung regulatorischer Rahmenbedingungen (z. B. AI Act, interne Policies, Kundenvorgaben)
Abstimmung mit Plattform-, Fach- und Projektteams inkl. Erwartungsmanagement
Anforderungen
Mehrjahrige Erfahrung als MLOps Engineer, ML Engineer oder Data Engineer
Sehr gute Kenntnisse in Kubernetes-/OpenShift-basierten Umgebungen
Erfahrung mit ML-Orchestrierung, ML-Tracking und Monitoring
Sehr gute Python-Kenntnisse
Sehr gute Deutsch und Englischkenntnisse
Interessiert?
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Sie konnen mich gerne uber Freelancermap per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis! +43 699 14402417
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