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Mlops Junior Jobs in Decatur, GA (NOW HIRING)

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

You will collaborate cross-functionally, mentor junior engineers, and influence multiple projects ... Collaborate with MLOps teams to optimize real-time inference across platforms (AKS, GKE, on-prem ...

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

... MLOps, model lifecycle management, and production-grade deployment, Cloud platforms (AWS/GCP/Azure ... mentoring more junior staff members. • Highly self-motivated, directed, ability to work ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Mentor junior engineers and contribute to ML engineering best practices. Skills, Knowledge and ... Experience with CI/CD for ML (MLOps), monitoring, and observability. * Familiarity with anomaly ...

Infosys

Principal - AI Architect - Insurance

Atlanta, GA · On-site

$154K - $193K/yr

Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML ... Cares about development of junior consultants and invests in their progression. Grows Infosys ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Experience mentoring junior data scientists and providing technical leadership across complex analytics initiatives. * Familiarity with modern MLOps practices and model governance within regulated ...

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How much do mlops junior jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for mlops junior in Decatur, GA is $26.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $32.40 per hour, depending on experience, location, and employer.

What is an MLOps junior?

MLOps Junior roles focus on supporting the deployment, maintenance, and monitoring of machine learning models in production environments. As a junior professional, you typically assist in automating workflows, managing data pipelines, and collaborating with data scientists and engineers. Responsibilities often include configuring cloud resources, setting up CI/CD pipelines, and ensuring models run smoothly after deployment. It's an entry-level position that helps bridge the gap between data science and operations, providing hands-on experience with machine learning infrastructure.

What are the key skills and qualifications needed to thrive as an MLOps junior?

To thrive as an MLOps Junior, you need a solid understanding of machine learning principles, programming in Python, and knowledge of software development practices, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), containerization tools (like Docker), CI/CD pipelines, and version control systems (like Git) is typically required. Strong problem-solving, collaboration, and a willingness to learn stand out as soft skills in this role. These skills and qualities are crucial for efficiently deploying, maintaining, and scaling machine learning models in real-world production environments.

What are some common challenges faced by a junior MLOps professional in their first year, and how can they overcome them?

As a Junior MLOps professional, one of the main challenges is bridging the gap between data science and engineering practices, particularly when deploying machine learning models to production. You may encounter issues like automating model pipelines, managing dependencies, and ensuring reproducibility. Collaborating closely with data scientists, software engineers, and DevOps teams is essential for learning best practices and troubleshooting problems efficiently. Proactively seeking mentorship, participating in code reviews, and familiarizing yourself with popular MLOps tools (such as Docker, Kubernetes, and CI/CD platforms) can greatly accelerate your growth and confidence in the role.

What is the difference between Mlops Junior vs Data Engineer?

AspectMlops JuniorData Engineer
Required CredentialsBasic understanding of ML workflows, some certifications preferredDegree in Computer Science or related field, certifications in data management
Work EnvironmentCollaborates with data scientists and ML engineers in tech companiesWorks on data pipelines, storage, and processing systems in various industries
Industry UsageEmerging role in AI/ML teams, startups, and tech firmsEstablished role across finance, healthcare, tech, and more

The comparison shows that Mlops Junior and Data Engineer roles share some technical foundations but differ mainly in focus. Mlops Junior emphasizes deploying and maintaining ML models, while Data Engineers focus on building data infrastructure. Both roles are vital in data-driven organizations, with Mlops Junior often working closely with Data Engineers to ensure smooth ML operations.

What job categories do people searching Mlops Junior jobs in Decatur, GA look for?

The top searched job categories for Mlops Junior jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Mlops Junior jobs?

Cities near Decatur, GA with the most Mlops Junior job openings:

Mlops Junior jobs near you

Senior Data Scientist in Atlanta, GA

ALTITUDE TECHNOLOGY SOLUTIONS

Atlanta, GA • On-site

Contractor

Posted 4 days ago

Job description

Position: Senior Data Scientist 
Location: Atlanta, GA
Experience: 12+ Years
 
Job Summary
We are looking for a highly experienced *Senior Data Scientist / Azure Data Scientist* with *12+ years of experience* in Data Science, Machine Learning, AI, and Advanced Analytics. The candidate should have strong hands-on expertise in *Python and Microsoft Azure* and experience delivering enterprise-level ML solutions.
 
Key Responsibilities
  • Design, develop, and deploy machine learning and AI solutions using *Python and Azure.
  • Analyze large datasets and develop predictive, classification, forecasting, and optimization models.
  • Build and manage ML pipelines using *Azure Machine Learning and Azure Databricks.
  • Perform data preprocessing, feature engineering, model development, validation, and optimization.
  • Develop production-ready ML solutions and implement *MLOps, CI/CD, and model monitoring*.
  • Work closely with Data Engineers, Software Engineers, Cloud teams, and business stakeholders.
  • Provide technical leadership and mentor junior data scientists.
  • Communicate analytical results and recommendations to technical and business stakeholders.
 
Required Skills
  • 12+ years of Data Science / Machine Learning experience
  • Strong hands-on *Python* programming
  • Strong *Microsoft Azure* experience
  • Azure Machine Learning*
  • Azure Databricks / PySpark*
  • Advanced *SQL*
  • Machine Learning, Statistical Modeling & Predictive Analytics
  • Scikit-learn, Pandas, NumPy, XGBoost / similar ML frameworks
  • Experience with *MLOps and ML model deployment*
  • Git, CI/CD and Azure DevOps
  • Strong communication and problem-solving skills
 
Preferred Skills
  • Generative AI / LLMs
  • Azure OpenAI
  • NLP and RAG
  • TensorFlow / PyTorch
  • Docker / Kubernetes
  • Azure Data Factory, Synapse, ADLS
  • Microsoft Azure Data Scientist certification (DP-100)
 
EDUCATION
Bachelor's or Master's degree in *Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
 
Key Requirements:
12+ Years | Python | Microsoft Azure | Azure ML | Machine Learning | SQL | Databricks | MLOps*