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Machine Learning Engineer Biotech Jobs in Mississippi

MILWAUKEE TOOL

Machine Operator 3 - 2nd shift

Grenada, MS · On-site

$15.50 - $18.50/hr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

MILWAUKEE TOOL

Machine Operator 3 - 2nd shift

Grenada, MS

$15.50 - $18.50/hr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn ...

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

$149K/yr

Proficiency in programming languages such as Python or R. * Strong understanding of statistical methods and machine learning techniques. * Experience with data visualisation tools such as Tableau or ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Mississippi

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 Mississippi?

The most popular types of Machine Learning Engineer Biotech jobs in Mississippi are:

What are popular job titles related to Machine Learning Engineer Biotech jobs in Mississippi?

For Machine Learning Engineer Biotech jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Mississippi look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Mississippi are:

What cities in Mississippi are hiring for Machine Learning Engineer Biotech jobs?

Cities in Mississippi with the most Machine Learning Engineer Biotech job openings:

Machine Learning Engineer Biotech jobs near you

Machine Operator 3 - 2nd shift

MILWAUKEE TOOL

Grenada, MS • On-site

$15.50 - $18.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago

Job description

GNA Machine Operator 3
Job Description:
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our electrical engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
You'll be DISRUPTIVE through these duties and responsibilities:
The Machine Operator - Paint is responsible for operating powdercoat (blades) and liquid (holesaw) paint equipment.
Duties and Responsibilities
  • Set up, operate, and shut down paint line
  • Able to work in dust, vapors, etc.
  • Load/unload paint line with product
  • Recognize and react to problems with equipment, make adjustments as required
  • Inspect and verify product according to quality standards
  • Use paint thickness gauge to verify paint thickness
  • Hone turnover belt (powder application)
  • Perform daily Preventative Maintenance (PM) on paint line equipment
  • Inspect, clean, and change out tips on paint guns
  • Perform frequent walk-throughs to ensure equipment is operating properly
  • Change out and add paint as required
  • Check and clean re-claim hoppers
  • Maintain production pace and standards
  • Adhere to all safety requirements in the work area
  • Practice 5Ss

Knowledge, Skills and Abilities
  • Understand and follow verbal and written instructions
  • Basic math skills
  • Basic mechanical skills

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

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