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Contract Machine Learning Startup Jobs in Florida

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist ... Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ...

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Lead data-driven innovation, building the production pipeline for advanced machine learning ... Negotiate and optimize contracts with critical third-party tooling, cloud providers, and ...

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Sr. Product Manager (Generalist)

Miami, FL · On-site

$150K - $200K/yr

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Sr. Product Manager (Generalist)

Miami, FL · Hybrid

$150K - $200K/yr

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Showing results 41-60

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Florida? The most popular types of Machine Learning Startup jobs in Florida are:
What job categories do people searching Contract Machine Learning Startup jobs in Florida look for? The top searched job categories for Contract Machine Learning Startup jobs in Florida are:
What cities in Florida are hiring for Contract Machine Learning Startup jobs? Cities in Florida with the most Contract Machine Learning Startup job openings:

Data Scientist

kgs

Cape Canaveral, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Data Scientist with a Secret security clearance to support KITS and our government customer at Stennis Space Center, MS.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems.

The Data Scientist will be responsible for developing and implementing advanced analytical solutions, with a particular focus on geospatial data analysis and modeling.

Key responsibilities include:

  • Design and implement machine learning models and statistical analyses
  • Develop predictive models and data-driven solutions
  • Process and analyze large-scale geospatial datasets
  • Create data visualization and reporting solutions
  • Conduct exploratory data analysis
  • Develop and maintain analytical pipelines
  • Collaborate with cross-functional teams to understand requirements
  • Transform complex data into actionable insights
  • Optimize existing models and analytical processes
  • Document methodologies and findings
  • Present technical findings to stakeholders

Education and Experience:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in data science or related field
  • Proven experience with machine learning and statistical modeling
  • Strong background in geospatial analysis
  • Demonstrated track record of successful analytical projects

 

Required Skills and Competencies:

  • Python, R, or similar programming languages
  • Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
  • Statistical analysis and modeling
  • Data visualization tools (Matplotlib, Seaborn, Plotly)
  • SQL and database querying
  • Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK)
  • ESRI ArcGIS suite of commercial software components
  • ArcGIS Runtime
  • ArcGIS Engine
  • ArcGIS extensions including: 3-D Analyst
  • Geostatistical Analyst
  • Network Analyst
  • Spatial Analyst
  • Tracking Analyst
  • ArcGIS Server
  • Experience with:
  • Spatial statistics and analysis
  • Big data processing tools
  • Version control systems (Git)
  • Jupyter notebooks
  • Data preprocessing and feature engineering
  • Model evaluation and validation techniques
  • Strong analytical and problem-solving skills
  • Excellent communication abilities
  • Must be able to work on-site at Stennis Space Center, MS

Clearance Requirement:

  • Secret security clearance 

Desired Skills and Competencies:

  • Deep learning techniques
  • Computer vision
  • Natural language processing
  • Cloud computing platforms (AWS, Azure, GCP)
  • Big data technologies (Hadoop, Spark)
  • Remote sensing data analysis
  • Time series analysis
  • Spatial modeling
  • Bayesian statistics
  • Knowledge of:
  • Data engineering principles
  • MLOps practices
  • Distributed computing
  • High-performance computing
  • Image processing
  • Familiarity with:
  • Federal data standards
  • Research methodology
  • Scientific computing
  • Geospatial data formats and standards
  • Publications in peer-reviewed journals
  • Federal government contract experience
  • Security clearance or ability to obtain one
  • Relevant certifications in data science or machine learning

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352