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Remote Full Stack Machine Learning Engineer Jobs in New York

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... We value ownership of the full lifecycle. * Excellent communication-able to explain complex ML ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

Walter

Full Stack Engineer - AI

New York, NY · On-site +1

The team consists of highly talented AI engineers, Full-stack Engineers, product managers, and ... Open to on-site and Remote candidates * Ship products that will directly impact millions of users ...

Empassion

Senior Full Stack Software Engineer

New York, NY · On-site +1

$120K - $175K/yr

Remote Work & Travel Empassion is a remote-first, fully distributed company across the United ... Experience designing complex state management systems, including state machines and rules engines

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New York? The most popular types of Full Stack Machine Learning Engineer jobs in New York are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in New York? For Remote Full Stack Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in New York look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in New York with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Full Stack Developer - Remote

Full Stack Developer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

Full-time

Posted 7 days ago

Job description

NAVA Software solutions is looking for a Full Stack Developer
Details:
Full Stack Developer
Location: 100% Remote
Duration: 12 months
Job Description:
This Virtual Command Center (VCC) dashboard will be designed to improve speed to resolve for identified and/or emerging issues that may impact center productivity and VCC will largely focus on monitoring, reporting and analysis of the physical aspects of the center. The monitoring will include a) center connectivity / network and associated devices; b) in-center donor processing flows, c) additional inputs to be confirmed that will enable visibility and action at the aggregate or center level.
VCC must provide real-time insights to network/device availability to reduce production impact (network related outages) and enhance plasma collection efficiency. The dashboard must create a foundation of data analytics in support of plasma collection & yield measurement & optimization. Develop a dashboard that captures data within a plasma center, displays high level KPIs and shows analytics data. Key requirements are:
a. Two full stack engineers with the expertise to develop responsive dashboards in React, and with expertise in Java / Spring framework to develop robust and scalable microservices.
b. HTML/CSS/JavaScript expertise to transform high fidelity mockups into UI components.
c. React / Next.js framework for UI development and service integration.
d. CI/CD and DevOps experience - building robust and secure pipelines for seamless deployment.
e. Deploying the application to an AWS instance and infrastructure support.
f. Gitlab repository management experience
Build the UI [WACU3] [MJU4] as per the designs, tie into production APIs which include but are not limited to the Donor Management System (DMS)[WACU5] [MJU6] for donor data, ServiceNow for P1 and P2 ticket visibility, Cisco Thousand Eyes for additional network visibility, MuleSoft as the API integration layer for plasma collection metrics and center floor summary metrics, and Thing Worx UI as the plasma center digital twin equivalent. Develop and deploy the web app, connect current Plasma data sources into VCC, and improve reliability and performance.
Important, needs someone with previous experience in scalable dashboards and they can speak to it, UI/React but full stack experience to well round the team, NEW development and redesign efforts, maintain on cloud (aws), involved in API's, devops, and SQL.
Background on position
  • To develop live dashboard for CSL leadership.
  • Track key metrics from dashboard, operations, how doing in different centers
  • Reports for leadership, division managers, plasma center managers.
  • Rule based will collect metrics e.g. uptime of center.
    --Lots of other metrics (may already be in relationship in other databases) may need to calculate other metrics.
  • Build scalable, resilient dashboard driving end to end
  • New development (did POC a version 1) pivoting from scratch redesign look and feel.
  • Deploy and maintain on the cloud
  • Interface with Relational databases
  • Backend not set up yet. Will involve API figuring out data sources.
  • Current team: Team size: 5 -8 people. Proposing an agile team have PO, Designer and backend

Requirements
  • Hands on, be a lot of development experience. Scalable dashboard Building resilient and scalable dashboard
  • Deploy and maintain on the cloud.
  • 2 full stack engineers
  • UI Development (1st priority)
  • Full stack to build the REACT
  • Know SQL
  • Ability to write and test code.
  • AWS React
  • Dev Ops (CICD pipeline, GET Hub)
  • Lifesciences is good to know. ev
  • Senior (5 to 8 years)
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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