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Mlops Junior Jobs (NOW HIRING)

The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions ... MLOps concepts. CLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.

The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions ... MLOps concepts. CLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.

MLOps Automation Senior Lead Engineer

Akron, OH · On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ...

Contribute to mentoring for junior engineers * Contributing to best practices and raising the bar ... Experience with MLOps tooling (e.g., MLflow, Airflow, dbt) and ML model deployment/serving patterns

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... databases o MLOps practices * Experience with Docker, Kubernetes, and CI/CD pipelines

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... databases o MLOps practices * Experience with Docker, Kubernetes, and CI/CD pipelines

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... databases o MLOps practices * Experience with Docker, Kubernetes, and CI/CD pipelines

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Mlops Junior information

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How much do mlops junior jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for mlops junior in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

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 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 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.

More about Mlops Junior jobs
What cities are hiring for Mlops Junior jobs? Cities with the most Mlops Junior job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Mlops Junior jobs? States with the most job openings for Mlops Junior jobs include:
Infographic showing various Mlops Junior job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Junior Biostatistician

GDIT

Fort Liberty, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Analytics, Datasource, Data Transformation, Structured Query Language (SQL)

Certifications:

None

Experience:

1 + years of related experience

US Citizenship Required:

Yes

Job Description:

We are GDIT. The people supporting and securingsome of the most complex government, defense, andintelligence projects across the country. We ensuretoday is safe and tomorrow is smarter. Our work hasmeaning and impact on the world aroundus, but also on us, andthat'simportant.

GDIT is your place. You make it your own by embracingautonomy, seizing opportunity, and being rusted todeliver your best every day.

We think. We act. We deliver. There is no challenge wecan'tturn into opportunity. And our work depends on aJunior Biostatistician joining our team to supportcustomer activities.

The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions that inform readiness, performance, and decisionsupport activities. This role processes, curates, and analyzes structured and unstructured data to create actionable insights, dashboards, and foundational data products. The Junior Biostatistician assists senior analysts and enterprise data teams by preparing datasets, developing pipelines, and supporting reporting tools used across programs and operational environments.

HOW A JUNIOR BIOSTATISTICIAN WILL MAKE AN IMPACT:

  • Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
  • Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark (PySpark) for scalable batch processing and data transformation.
  • Develop and maintain curated, analysis-ready datasets (e.g., dimensional models, governed reporting tables) with attention to data quality, lineage, and repeatability.
  • Optimize data processing performance (partitioning strategies, efficient joins, job tuning) and contribute to reliable scheduling/orchestration and monitoring of recurring workloads.
  • Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
  • Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting. Support low-code solutions by integrating data products into Power Apps (Canvas and Model-Driven) and automations using Power Automate.
  • Contribute to text and language-focused use cases by preparing and analyzing unstructured data (basic NLP preprocessing, labeling/curation, feature creation).
  • Demonstrate familiarity with LLMs and agent concepts (prompting patterns, retrieval-style workflows, evaluation considerations) and assist senior team members in implementing these capabilities where appropriate. Document data sources, transformations, assumptions, and analytical methodologies to ensure transparency and operational continuity.

WHAT YOU'LL NEED TO SUCCEED:

EDUCATION: Bachelor's degree with one to two (1-2) years' experience in quantitative science, social science or related discipline

  • Proficient with the suite of Microsoft Office programs, including Word, Excel and Access
  • Working knowledge of SQL Server (SQL/T-SQL), including querying, joins, indexing basics, and working with relational schemas.
  • Hands-on experience or strong exposure to Databricks and Apache Spark (preferably PySpark) or comparable systems for scalable data preparation.
  • Foundational programming skills in Python or R for analysis, data manipulation, and ML workflows.
  • Possess an understanding of data engineering concepts: ETL/ELT, data modeling basics, data quality checks, reproducible pipelines, and version control (Git).
  • Experience building visual analytics with Power BI (reports, datasets/semantic models, DAX fundamentals preferred).
  • Familiarity with the Power Platform: Power Apps (Canvas and Model-Driven) and Power Automate for workflow integration.
  • Basic familiarity with NLP and Large Language Models, including typical use cases and data requirements (text preparation, evaluation datasets, governance considerations).
  • Ability to communicate clearly with stakeholders and translate mission needs into data requirements and analytical outputs.
  • Experience with web application development technologies: HTML, CSS, JavaScript, React, plus backend exposure to Django or ASP.NET Core.
  • Experience with advanced Spark/Databricks patterns (Delta tables, incremental loads, job/workflow scheduling, performance tuning).
  • Familiarity with deploying analytics/ML into applications (APIs, dashboards, or integrated workflows) and basic MLOps concepts.

CLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.

LOCATION: Various OCONUS & CONUS SITES

This is a contingent posting, expected to start in 2027.

GDIT IS YOUR PLACE:

  • 401K with company match
  • Comprehensive health and wellness packages
  • Internal mobility team dedicated to helping you own your career
  • Professional growth opportunities including paid education and certifications
  • Cutting-edge technology you can learn from
  • Rest and recharge with paid vacation and holidays

#MilitaryHealthGDITJobs

The likely salary range for this position is $63,312 - $85,658. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA NC Fort Bragg

Additional Work Locations:

USA CA San Diego, USA FL Hurlburt Field, USA KY Fort Campbell, USA WA Joint Base Lewis-McChord

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US