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Junior Machine Learning Engineer Jobs in Alabama

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

We are seeking a junior-level AI Software Developer (2-5 years of experience) who is passionate ... Python, machine learning frameworks, APIs, and modern software engineering practicesDevelop ...

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Huntsville, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Montgomery, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum Clearance Required: Interim Secret Clearance Level Must Be Able to Obtain: Secret Potential for ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum Clearance Required: Interim Secret Clearance Level Must Be Able to Obtain: Secret Potential for ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

... junior staff. Responsibilities : • Expertly handle complex data sets, conduct in-depth data ... programming languages such as Python, R, or Julia • Expert knowledge of machine learning ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Alabama

Junior Machine Learning Engineer information

See Alabama salary details

$30.4K

$65.1K

$99.3K

How much do junior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for junior machine learning engineer in Alabama is $65,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Alabama? The most popular types of Machine Learning Engineer jobs in Alabama are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Alabama? For Junior Machine Learning Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Alabama look for? The top searched job categories for Junior Machine Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Junior Machine Learning Engineer jobs? Cities in Alabama with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,078 per year, or $31.3 per hour.

Jr. Software Developer

deciBel Research, Inc.

Huntsville, AL • On-site

$62K - $81K/yr

Full-time

Re-posted 4 days ago

Job description

deciBel Research has an immediate opening for a Jr. Software Developer in Huntsville, AL.Position Description:We are seeking a junior-level AI Software Developer (2–5 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.Responsibilities IncludeDesign, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practicesDevelop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sourcesBuild AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makersDevelop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologiesCreate scalable data models and services that support analytics, reporting, and digital engineering initiativesCollaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environmentIntegrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architecturesParticipate in technical design reviews, code reviews, architecture discussions, and continuous improvement activitiesPrototype innovative AI solutions and mature successful concepts into production-ready softwareStay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challengesEducation Requirements:BS Computer Science or Computer EngineeringExperience Requirements:A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internshipsDemonstrative experience with at least one modern programming language (Python, C++, Rust)Experience with Linux operating systemBuilt at least one meaningful service/APISystem-level thinkingGit + Linux proficiencyCuriosity, problem-solving, and a willingness to experimentComfort working in collaborative, iterative development environmentsStrong communication skills and a desire to growSpecial Skills Desired:2–5 years of software development experience with strong proficiency in Python or similar scripting languagesExperience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologiesExperience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise toolsExperience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalentExperience developing RESTful APIs and working with structured and unstructured data.Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirableExperience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plusStrong problem-solving, communication, and collaboration skillsApplicant selected must have an active Secret security clearance. Must be a U.S. Citizen.
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