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Remote Internship Machine Learning Engineer Jobs in Florida

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data ... The ability to work collaboratively with remote teams. * Experience with containerization using ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

AI/Machine Learning Engineer Senior

Orlando, FL · On-site +1

$114K - $150K/yr

... using machine learning and feature engineering techniques
 • Deploying AI capabilities and ... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ...

AI/Machine Learning Engineer Senior

Orlando, FL · On-site +1

$114K - $150K/yr

... using machine learning and feature engineering techniques
 • Deploying AI capabilities and ... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ...

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Remote Internship Machine Learning Engineer information

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What job categories do people searching Remote Internship Machine Learning Engineer jobs in Florida look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Internship Machine Learning Engineer jobs? Cities in Florida with the most Remote Internship Machine Learning Engineer job openings:
Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

ClifyX

Bradenton, FL • Remote

$111K - $146K/yr

Other

Posted 2 days ago


Job description

Sr. Machine Learning Engineer

The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable of operating in a production environment. This role possesses an in-depth subject matter expertise of design, Machine Learning, AI/Deep Learning, software development, coding, testing and application programming and assists in aligning business and functional requirements with Data Science capabilities. They also demonstrate expertise in Machine Learning tools, Big Data technologies, and software build processes and guides the team towards rapid deployment and scaling up of our Machine Learning capabilities across Footlocker's online and offline platforms.

Essential duties and responsibilities include the following. Other duties may be assigned:

  • Provides the technical expertise and support to ensure that data products function effectively in a production environment.
  • Design workflows that manage the development, support, and release of production level code.
  • Works closely with Data Scientists and Data Engineers to develop predictive algorithms.
  • Operationalizes applications into stable builds which can then be deployed to the cloud or on-prem.
  • Designs systems, alerts, and dashboards to monitor data products in production.
  • Accesses data from a variety of sources, including RDMS, NoSQL, or API.
  • Supports the Data Engineer and Architecture teams in defining the long-term technology roadmap for the team.
  • Advocates a testing first strategy to integrate A/B testing into all levels of product development.
  • Creates measurement systems to continuously evaluate the performance of data products.
  • Decomposes highly complex problem statements into specific deliverables and requirements.
  • Leads technology evaluations; creates prototypes for scalable Machine Learning Solutions using the latest methods and technologies.
  • Leads program review sessions and collaborative exercises to build the team's overall analytical capability.
  • Mentors junior team members and provides constructive critique on specific projects.

The Sr. Machine Learning Engineer does not have direct supervisory responsibilities but they are expected to demonstrate leadership and mentor other team members.

The ideal candidate possesses the following qualifications:

  • 5+ years of hands-on experience developing and deploying enterprise scale Machine Learning solutions.
  • Expertise working with large scale distributed systems (Hadoop, Spark).
  • Advanced programming skills with Python, Scala, or R.
  • Strong SQL skills and is comfortable operating with relational data models and structure.
  • Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.
  • Is capable of accessing data via a variety of API/RESTful services.
  • Expertise with Continuous Integration/Continuous Delivery workflows and supporting applications.
  • Expertise in cloud environments and architectures.
  • The ability to work collaboratively with remote teams.
  • Experience with containerization using tools such as Docker.
  • Strong knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.
  • Advanced understanding of software development and collaboration, including experience with tools such as Git.
  • Excellent written and verbal communication skills, comfortable presenting in front of non-technical audiences.

Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science, Operations Research or otherwise research-based field; 5-7 years of related experience and/or training; or equivalent combination of education and experience.

The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required.

The candidate must effectively plan and execute unusual and difficult work. Takes initiative and is decisive and quick, when appropriate, all while adhering to the team's standards and patterns and practices. Must have the ability to solve complex problems and deal with ambiguity where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Deals constructively with conflict and disagreement.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually quiet, however positive, work-driven collaboration is encouraged.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998