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Weekend Machine Learning Postdoc Jobs in Florida

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ... weekends and holidays). Equal Opportunity Employer / Disabled / Protected Veterans The Know Your ...

AAA USA

Machinist Operator

Tampa, FL · On-site

$40 - $52/hr

Weekend Shift. * PTO. * Paid Holidays. * Health Benefits. Position Summary: AAA United States, Inc ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Opa Locka, FL · On-site

$40 - $52/hr

Weekend Shift. * PTO. * Paid Holidays. * Health Benefits. Position Summary: AAA United States, Inc ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Jacksonville, FL · On-site

$40 - $52/hr

Weekend Shift. * PTO. * Paid Holidays. * Health Benefits. Position Summary: AAA United States, Inc ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Miami, FL · On-site

$40 - $52/hr

Weekend Shift. * PTO. * Paid Holidays. * Health Benefits. Position Summary: AAA United States, Inc ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Melbourne, FL · On-site

$40 - $52/hr

Weekend Shift. * PTO. * Paid Holidays. * Health Benefits. Position Summary: AAA United States, Inc ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

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All JobsMachine Learning Postdoc JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in Florida

Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

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

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are the most commonly searched types of Machine Learning Postdoc jobs in Florida? The most popular types of Machine Learning Postdoc jobs in Florida are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Florida? For Weekend Machine Learning Postdoc jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Florida look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Florida are:
What cities in Florida are hiring for Weekend Machine Learning Postdoc jobs? Cities in Florida with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you

AI/ML Software Engineer

Cooperidge Consulting Firm

Sarasota, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Cooperidge Consulting Firm is seeking an AI/ML Engineer for a top Signal Processing/Defense client.

This critical role designs, develops, and implements Artificial Intelligence/Machine Learning solutions for complex Signal Intelligence (SIGINT) processing and decision-making problems. The Engineer focuses on building models for event characterization, anomaly detection, and automated analysis of large-scale sensing systems to deliver intelligent insights for critical Intelligence Community and Department of Defense missions, requiring a high degree of drive and dedication.
Job Responsibilities

  • Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs, including working with time-series data.
  • Develop specialized models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • Work closely with team leads to successfully integrate AI/ML capabilities into enterprise architectures.
  • Ensure performant processing while strictly considering aspects of model accuracy, security, and long-term maintainability.
  • Enable autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments.
  • Discover features and infer system states from underlying data streams to support large-scale sensing systems and deliver intelligent insights.
  • Apply strong knowledge of MLOps, deployment, processing pipelines, testing, and validation to all solutions.

Requirements

Education
  • Bachelor of Science (BS) degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a related field is required.
Experience
  • Minimum of one (1) year of hands-on experience in AI or ML in a professional environment is required (3–5 years preferred).
  • Experience in design, deployment, and support of AI/ML models for significant real-world applications is desirable.
Certifications/Licenses
  • US Citizenship is MANDATORY.
  • Active TS/SCI clearance is MANDATORY.
Skills
  • Strong programming background with experience using statistical and signal analysis libraries is required.
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  • Experience with neural network architectures, including deep learning models, and understanding of transformer architectures is required.
  • Knowledge of digital signal processing fundamentals, RFML, LLMs (fine-tuning, prompt engineering), and adversarial ML techniques is preferred.
  • Experience creating and deploying containerized AI models (Docker/Kubernetes) or working with cloud AI platforms (AWS, Azure, Google) is preferred.

Benefits

  • Full-time roles offering overtime and weekend work opportunities
  • Competitive hourly wages plus potential quarterly bonuses
  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement
  • Employee discount programs and perks