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Senior Machine Learning Engineer Biotech Jobs in Florida

ENSCO, Inc.

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$88.40K - $121.40K/yr

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines ...

ENSCO

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$100K - $160K/yr

Position Description ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

Omni Inclusive

Sr. Machine Learning Engineer

Boca Raton, FL · On-site

$98.90K - $135.80K/yr

Job Title Mandatory skills - A blend of person who is familiar with Machine Learning Models, Docker ... Work on feature engineering to ensure most information going into the model for prediction accuracy ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Navstar

Machine Learning Engineer

Pembroke Pines, FL · On-site

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production--integrating agentic AI systems into our product. This role is engineering ...

New

Indeed

Machine Learning Engineer

Miami, FL · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

ENSCO

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

Citadel

Machine Learning Engineer

Miami, FL · On-site

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

SynergisticIT

Machine Learning Engineer

Tallahassee, FL · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Skills Required: * Passionate about search and AI technologies. Open to collaborating with ...

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Senior Machine Learning Engineer Biotech information

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

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

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Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

$88.40K - $121.40K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 5 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
        An Active Secret clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Secret
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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