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Contract Machine Learning Startup Jobs in Florida

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities • Design interfaces to the data warehouses/data storages and machine learning/Big Data • ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

SynthBee, Inc. is seeking a Machine Learning Engineer who can take AI models from research to ... Required : • Proven experience building and deploying AI applications (ideally in a startup or ...

Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN ... Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ...

New

As a rapidly growing company, AMPERA merges the agility of a startup with the ambition of a global ... This role will focus on applying machine learning, automation, and high-performance computing to ...

As a rapidly growing company, AMPERA merges the agility of a startup with the ambition of a global ... This role will focus on applying machine learning, automation, and high-performance computing to ...

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Contract Machine Learning Startup information

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

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 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 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 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 most commonly searched types of Machine Learning Startup jobs in Florida? The most popular types of Machine Learning Startup jobs in Florida are:
What are popular job titles related to Contract Machine Learning Startup jobs in Florida? For Contract Machine Learning Startup jobs in Florida, the most frequently searched job titles 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:

$52.75 - $69.75/hr

Contractor

Posted 14 days ago


Job description

Company Description
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.