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Machine Learning Engineer Opt Jobs in Charleston, SC

Machine Learning engineers Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and ...

Senior Data Scientist

Hanahan, SC Β· On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

Senior Data Scientist

Hanahan, SC Β· On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

Senior Data Scientist

Hanahan, SC Β· On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

Showing results 21-40

Machine Learning Engineer Opt information

See Charleston, SC salary details

$29.5K

$120.5K

$181.1K

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

As of Sep 12, 2026, the average yearly pay for machine learning engineer opt in Charleston, SC is $120,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Charleston, SC?

For Machine Learning Engineer Opt jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Charleston, SC look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Machine Learning Engineer Opt jobs?

Cities near Charleston, SC with the most Machine Learning Engineer Opt job openings:

Entry Level Data Scientist

Charleston, SC β€’ On-site

SynergisticIT
IT ServicesΒ β€’Β 11 - 50 employees

Full-time

Re-posted 20 days ago


Job description

Synergisticit Career Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab etc to name a few. Currently, we are looking for:

  • Entry-level software programmers
  • Java Full stack developers
  • Python/Java developers
  • Data analysts/Data Scientists
  • Machine Learning engineers

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

For data science/machine learning positions:

  • Required skills: 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, Databricks, Tensorflow

For Java/Full stack/software positions:

  • Required skills: 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

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.


SynergisticIT logo

About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: β€œUnderstanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010