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Machine Learning Engineer Jobs in Aberdeen, MD (NOW HIRING)

SynergisticIT

Junior Java Developer

Towson, MD

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply?

Pwc

US Tech - AI Engineering Manager

Baltimore, MD

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Booz Allen Hamilton

Data Scientist

Edgewood, MD · On-site

... machine learning, and artificial intelligence. • Help turn complex data sets into useful ... programming languages for data analysis • 2+ years of experience with developing, updating ...

USALCO

AI Platform Engineer

Baltimore, MD · Remote

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field. * 5+ years of experience in AI engineering, machine learning engineering, AI ...

Guidehouse

Data Engineer

Aberdeen, MD · On-site

$85K - $141K/yr

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret ... Provide and prepare data to enable data science and machine learning. * Demonstrate strong ...

Guidehouse

Data Engineer

Aberdeen, MD

$85K - $141K/yr

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret ... Provide and prepare data to enable data science and machine learning. * Demonstrate strong ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Aberdeen, MD

Machine Learning Engineer information

See Aberdeen, MD salary details

$33.9K

$138.5K

$208.1K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer in Aberdeen, MD is $138,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $166,700.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What cities near Aberdeen, MD are hiring for Machine Learning Engineer jobs? Cities near Aberdeen, MD with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Junior Java Developer

Junior Java Developer

SynergisticIT

Towson, MD

Other

Posted 13 days ago

Job description

Job Opportunities At SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid off jobseekers competing with existing jobseekers. For entry level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.

Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens. We understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Visa, Walmart Labs etc. to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and Green card filing to candidates.

We also offer skill enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then no need for skill enhancement.

Candidates can benefit from skill enhancement if they fall into the below categories:

  • Candidates who lack experience or are freshers with no actual on job experience with projects with clients
  • Candidates who have had a break in careers
  • Candidates who lack technical competency or skills being demanded by clients
  • Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA

Please check the below links to see success outcomes of our candidates: https://www.synergisticit.com/candidate-outcomes/

Watch the below videos of us participating at industry events with the top companies in technology:

  • Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube
  • https://www.youtube.com/watch?v=EmO7NrWHkLM
  • https://www.youtube.com/watch?v=NVBU9RYZ6UI
  • SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube

If you have relevant skills and industry experience, please apply. If not, then candidates can opt for skill enhancement.

For getting help with interviews please visit: https://www.synergisticit.com/interview-questions/

Required skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for Data Science/Machine Learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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