2

Entry Level Machine Learning Engineer Jobs in Alabama

We are currently looking for entry-level software programmers, IT enthusiasts, Python/Java ... Required Skills for Data Science/Machine Learning: * Bachelor's or Master's degree in Computer ...

Develops and maintains solutions in machine learning, reporting, visualization, predictive modeling ... Bachelor's degree in information systems, data science, computer/electrical engineering, or related ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Entry Level Education Bachelor's Degree Security Clearance Required Secret Igniters operate in the ... Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of ...

Aerospace Engineer

Huntsville, AL · On-site

$87K - $157K/yr

You will work to solve complex engineering problems with a highly technical, multidisciplinary team ... Understanding of machine learning basics, supervised learning, reinforcement learning, and ...

Aerospace Engineer

Huntsville, AL · On-site

$87K - $157K/yr

You will work to solve complex engineering problems with a highly technical, multidisciplinary team ... Understanding of machine learning basics, supervised learning, reinforcement learning, and ...

This role requires strong expertise in statistics, machine learning, and programming , with the ability to transform raw data into actionable insights. The ideal candidate has hands-on experience ...

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Alabama salary details

$27.2K

$62.9K

$107K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level machine learning engineer in Alabama is $62,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $71,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 cities in Alabama are hiring for Entry Level Machine Learning Engineer jobs? Cities in Alabama with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Alabama as of June 2026, with employment types broken down into 11% Internship, 74% Full Time, 9% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $62,869 per year, or $30.2 per hour.
Junior Java Developer

Other

Posted 8 days ago


Job description

SYNERGISTICIT wants all candidates to know that the job market is tough, and to stand out, you need excellent skills and knowledge. That's where we come in-we ensure you get the attention you deserve.
Positions Available We welcome applications from all visa holders and U.S. citizens.
Since 2010, SynergisticIT has helped thousands of candidates find jobs with major tech companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more. We have a strong reputation with our clients.
We are currently looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists.
Who Should Apply?

  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in the IT industry.
  • Candidates who are focused on their future in IT and have big goals.
  • Those struggling to find jobs, crack interviews, or improve their skills.
Skill Enhancement Programs We offer programs to help candidates improve their skills and experience, ensuring they meet client requirements. These programs are ideal for:
  • Candidates with no experience.
  • Those returning to work after a career break.
  • Candidates lacking technical skills or knowledge.
  • Visa holders who want to work and settle in the USA.
If candidates already have the necessary skills, skill enhancement is not required.
Please also check the below links :
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Skill Enhancement Option: If a candidate doesn't meet the requirements, they can choose skill enhancement to improve their qualifications.
Required Skills for Java/Software Programmers:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and knowledge of the software development life cycle.
  • Understanding of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, and REST APIs.
  • Excellent written and verbal communication skills.
Required Skills for Data Science/Machine Learning:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, Python, and data visualization tools.
  • Excellent written and verbal communication skills.
Preferred Skills: For Data Science/Machine Learning roles: NLP, text mining, Tableau, and time series analysis.
Additional Information:
  • Candidates need to meet client skill requirements to be selected, even for junior or entry-level roles. Additional skills help candidates stand out.
  • We do not accept applications from third-party candidates or c2c candidates.
  • Please apply through the posting.
  • No phone calls, please. Only shortlisted candidates will be contacted.