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Machine Learning Engineer Biotech Jobs in South Carolina

AI Engineer

Ladson, SC ยท On-site

$111K - $134K/yr

Designs and implements AI and machine learning solutions to improve manufacturing and business ... Collaborate with engineering and operations teams to integrate AI solutions into existing systems ...

The AI Engineer will work closely with data scientists, data engineering, enterprise architecture ... Collaborate with data scientists and business stakeholders to operationalize machine learning and ...

AI Solutions Engineering Delivery Lead

Spartanburg, SC ยท On-site

$100K - $131K/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 ...

Cloud Data Engineer

Greenville, SC ยท On-site

$100K - $121K/yr

You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions ...

CTIO AI Engineering Manager

Columbia, SC ยท On-site

$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 ...

AWS Generative AI Engineer

Columbia, SC ยท Hybrid

$60 - $78.75/hr

AWS Certified Machine Learning Engineer * AWS AI Practitioner * Experience with MLOps CICD and infrastructure as code tools Terraform CloudFormation * Familiarity with other LLM providers such as ...

CTIO AI Engineering Manager

Spartanburg, SC ยท On-site

$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 ...

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 ...

NGA AI Engineer Manager

Spartanburg, SC ยท On-site

$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 ...

$118K - $130K/yr

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

Senior Data Scientist

Hanahan, SC ยท 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 41-60

Machine Learning Engineer Biotech information

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in South Carolina? The most popular types of Machine Learning Engineer Biotech jobs in South Carolina are:
What cities in South Carolina are hiring for Machine Learning Engineer Biotech jobs? Cities in South Carolina with the most Machine Learning Engineer Biotech job openings:

AI Engineer

Daimler

Ladson, SC โ€ข On-site

$111K - $134K/yr

Other

Retirement

Re-posted 23 days ago


Job description

Shape the future today.

The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title.

At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts.

Job Overview:

ย  ย  ย  ย Designs and implements AI and machine learning solutions to improve manufacturing and business processes.

ย  ย  ย  ย Works with cross-functional teams to integrate AI into production systems and decision-making.

ย  ย  ย  ย Supports full AI lifecycle from development to deployment and continuous improvement.

Responsibilities:

Develop and deploy machine learning models and AI applications using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning.

Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications.

Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments.

Analyze large datasets to identify trends and optimization opportunities.

Build and maintain data pipelines and AI systems.

Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages.

Define and track KPIs for AI solutions.

Financial Responsibilities:

Support budget tracking and ROI evaluation for AI projects.

Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders.

Perform root cause analysis using AI techniques.

Ensure data governance and compliance.

Document models and provide training.

Manage AI-related projects and timelines.

Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field.

3-5 years of AI/ML or data engineering experience preferred.

Manufacturing or automotive experience preferred.

Knowledge & Skills:ย 

Machine learning frameworks (TensorFlow, PyTorch).

Programming in Python or similar.

Cloud platforms experience (Azure, AWS).

Data analysis and database knowledge.

Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods.

Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands-on experience in model training and deployment.

Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles.

Knowledge of natural language processing techniques and applications in real-world scenarios.

Strong analytical and problem-solving skills with the ability to interpret complex data sets effectively.

We are all in for change. Are you too? Apply now.

If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products.

EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING

Mercedes-Benz Vans, LLC ("MBV Charleston") is a Ladson, South Carolina-based production entity that manufactures Sprinter vans for the U.S. and Canadian markets.

The Sprinter plant officially opened in 2018 and serves as a key part of the Mercedes-Benz Vans global production network. MBV Charleston was selected as the first plant in this network to produce the all-new eSprinter, beginning in 2024. The company also continues to invest in the local community through donations to non-profits and schools, as well as active support of STEM education initiatives and volunteer programs.

Since 2006, Sprinter and Metris vans have been assembled in North Charleston and delivered to destinations across the United States. In 2025, the plant celebrated the assembly of the 5,000,000th Sprinter in the Mercedes-Benz global production network. The U.S. remains the second largest market for Sprinter vans after Germany.

https://mbvcharleston.com/ย