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Mlops Data Engineer Jobs in Indiana (NOW HIRING)

Virtusa Corporation

GCP Architect

Columbus, IN · On-site

$59.25 - $76.25/hr

... Data Engineer, GCP Professional Cloud Architect AI, Machine Learning & MLOps Machine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management ...

Huntington

MLOps Automation Senior Lead Engineer

Indianapolis, IN · On-site +1

$99K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Streamline the data, analytics, and model development lifecycle by identifying pain points and ...

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Access, prepare, and engineer features from data processed through Apache Spark and AWS data ... Familiarity with MLOps practices and model deployment/monitoring * Prior experience supporting ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Master's degree or equivalent experience preferred Experience: * 6-10 years in ML engineering, MLOps, or platform ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Master's degree or equivalent experience preferred Experience: * 6-10 years in ML engineering, MLOps, or platform ...

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Mlops Data Engineer information

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch 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 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 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 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 Indiana?

For Mlops Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Mlops Data Engineer jobs in Indiana look for?

The top searched job categories for Mlops Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Mlops Data Engineer jobs?

Cities in Indiana with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you

GCP Architect

Virtusa Corporation

Columbus, IN • On-site

$59.25 - $76.25/hr

Contractor

Posted 4 days ago

Job description

Data Engineering & Modeling
Data Modeling, Logical Data Modeling, Physical Data Modeling, Dimensional Data Modeling, Data Vault Modeling, Data Engineering, Enterprise Data Models, Data Pipelines, Data Governance, Data Architecture, Data Mesh, Lakehouse Architecture
Real-Time Data Processing
Real-Time Data Pipelines, Streaming Data Processing, Event-Driven Architecture, Apache Kafka, Google Pub/Sub, Low-Latency Data Processing
Google Cloud Platform (GCP)
Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, GCP Professional Data Engineer, GCP Professional Cloud Architect
AI, Machine Learning & MLOps
Machine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, MLflow, Kubeflow
Cloud & Data Technologies
Python, SQL, API Integration, Kubernetes, Docker, CI/CD, Apache Spark, Databricks, Snowflake
Banking & Financial Domain
Banking, Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics, Enterprise Solutions
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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