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Mlops Data Engineer Jobs in Georgia (NOW HIRING)

Virtusa Corporation

Sr. AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring, and automated ... Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines, and distributed ...

Monitise

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... Establish and mature MLOps practices including model packaging, deployment automation, monitoring ...

Fiserv, Inc.

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... Establish and mature MLOps practices including model packaging, deployment automation, monitoring ...

KPMG

Sr. Associate, Data Engineer - PySpark

Atlanta, GA · On-site

$56K - $57K/yr

Proven experience delivering end-to-end analytics and data engineering solutions, including data discovery, cleansing, model development, validation, deployment, and MLOps, with hands-on expertise in ...

Credigy

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

Data & Model Operations Engineer Credit - Data Science & Analytics | Norcross, GA About This Role ... Hands-on experience with machine learning models and familiarity with MLOps concepts, including ...

Credigy

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

Data & Model Operations Engineer Credit - Data Science & Analytics | Norcross, GA About This Role ... Hands-on experience with machine learning models and familiarity with MLOps concepts, including ...

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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?

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 ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

What are popular job titles related to Mlops Data Engineer jobs in Georgia?

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

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

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

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

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

Mlops Data Engineer jobs near you

Sr. AI/ML Engineer

Virtusa Corporation

Atlanta, GA • On-site

$100K - $138K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

JD:
Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,
and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),
Agentic AI, and MLOps to develop scalable and production-ready AI solutions.
Key Responsibilities:
Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI,
and GenAI applications.
ML Pipeline Development: Implement and automate scalable ML pipelines using
MLflow, AWS SageMaker, Databricks, and PySpark.
MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring,
and automated retraining.
Cloud &: Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock,
Lambda, Step Functions, ECS/EKS) for scalable AI solutions.
Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,
and distributed data processing.
LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector
databases (FAISS, Pinecone, ChromaDB).
NLP & Deep Learning: Work with transformers, embeddings, multi-modal AI
models, and text processing frameworks. Orchestration & Containerization:
Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CD
pipelineSenior Data Engineer with special emphasis and experience of 10 to 15 years
on Artificial Intelligence and Machine Learning. Bachelor degree in computer science
Engineering, or related field.
Strong Hands on Experience on Python coding and all the python libraries. Manage
and direct processes and R&D (research and development) to meet the needs
of our AI strategy. Understand company and client challenges and how integrating AI
capabilities can help lead to solutions. As a Machine Learning Engineer, you will play
a crucial role in the development and implementation of cutting-edge artificial
intelligence products.
No of Experience:
10+ years' experience.
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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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