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Manager Remote Machine Learning Engineer Jobs in Mantua, NJ

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $157K/yr

Since 1869 we've connected people through food they love. We?re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell?s brand, as well as Michael

Comcast

Data Scientist 2 - Virtual - Freewheel

PA · On-site +1

$66K/mo

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with

New

Forbes Advisor

CRM Manager (Remote)

Wilmington, DE · On-site +1

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and

Coty

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

DEMAND PLANNING INTERN (INTERSHIP CONTRACT) August starting 6 months Coty is one of the world's largest beauty companies with an iconic portfolio of brands across fragrance, color cosmetics, skin

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

* Elsevier, Inc. * Data Scientist III * 1600 John F. Kennedy Blvd., Suite 1800, Philadelphia, PA 19103 JOB DESCRIPTION: * Support our Data Sciences team within Health Content Operations and work with

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Mantua, NJ

Manager Remote Machine Learning Engineer information

See Mantua, NJ salary details

$28.6K

$64.3K

$108.3K

How much do manager remote machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for manager remote machine learning engineer in Mantua, NJ is $64,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $69,800.00 per year, depending on experience, location, and employer.

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
Manager Remote Machine Learning Engineer jobs near you

Senior Manager Architecture - Borders Portfolio Architect

SITA Switzerland Sarl

Cedar Brook, NJ • On-site, Remote

Full-time

Posted 13 hours ago

Job description

Overview

WELCOME TO SITA  

We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world’s air travel industry.

You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting-edge tech to make their operations run like clockwork. Want to be a part of something big?

Are you ready to love your job? The adventure begins right here, with you, at SITA.

 

ABOUT THE ROLE & TEAM

The Portfolio Architect is a pivotal role focused on shaping the technical landscape of products designed within a portfolio. This role is essential for collaborating with technical owners across product teams to optimize operations, enhance efficiency, and deliver innovative solutions tailored to the unique needs of transport industry.

 WHAT YOU’LL DO:

  • Portfolio-Level Tech Strategy: Work with CTO to define and lead the technical strategy for the portfolio, specializing in products for planning and management. Collaborate with product team technical owners to align strategies with operational goals
  • AI & Data Strategy Integration: Define and drive the integration of AI and data capabilities across the portfolio, including predictive analytics, machine learning models, and data-driven decision support for airport operations
  • Technical Documentation: Develop comprehensive technical documentation at the portfolio level, including detailed product/service interaction overviews and data flows tailored to airport operations requirements.
  • Key Design Decisions: Represent critical design decisions at the Software Design Authority (SDA) specific to airport operations, ensuring alignment with industry standards and best practices.
  • Portfolio Change Assessment: Evaluate and provide technical insights into the portfolio's change funnel, focusing on optimizing products for planning, scheduling, resource management, and operational efficiency.
  • Product-Level Collaboration: Collaborate closely with product teams to influence and contribute to product-level design decisions, technical design documents, and effective management of technical debt within portfolio.
  • Security and Compliance: Lead efforts in product-level threat modelling and security workbooks, ensuring robust security measures are implemented across airport operation systems. Collaborate with EISO and security domain architects to ensure compliance with industry regulations.

Mergers and Acquisitions: Contribute to technical assessments for mergers and acquisitions, ensuring alignment of the portfolio's products with evolving industry standards and compatibility with existing systems


Qualifications

ABOUT YOUR SKILLS:  

  • Technical Expertise: Proficiency in architecting solutions, with experience in cloud-based technologies, preferably Microsoft Azure. Knowledge of container-based architectures, such as Kubernetes, is a plus. Expertise in architecture and solutions surrounding analytics and machine learning.
  • Cloud and Container Skills: Proficiency in architecting cloud-based solutions, with a preference for experience with Microsoft Azure. Experience in architecting solutions based on containers, particularly Kubernetes, for scalable and efficient messaging systems.
  • Stakeholder Management: Proven track record of excellent stakeholder management within the airport and airline industry, understanding diverse stakeholder needs and effectively communicating technical concepts.
  • Communication Skills: Exceptional communication skills to convey complex technical ideas and solutions to non-technical stakeholders within the airport domain.
  • Collaboration Skills: Strong collaborative skills to work closely with product teams, business stakeholders, and technical delivery teams to drive effective solutions tailored to airport needs.
  • AI & Machine Learning Expertise: Strong understanding of machine learning approaches (predictive models, time-series forecasting, optimisation techniques) and their application in operational environments.
  • Data Platforms & Engineering: Experience designing modern data platforms (e.g., data lakes, lakehouse architectures, streaming pipelines) and working with large-scale structured and unstructured datasets.

NICE-TO-HAVE  

  • Industry Knowledge: Broad functional understanding of airport business capabilities
  • Borders Domain Expertise: Understanding of border management solutions, including passenger processing, biometrics, identity management, and risk-based screening in government or aviation environments.

WHAT WE OFFER

 

We’re all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We’re really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

Flex Week: Work from home up to 2 days/week (depending on your team’s needs)

Flex Day: Make your workday suit your life and plans.

Flex Location: Take up to 30 days a year to work from any location in the world. 

Employee Wellbeing: We’ve got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health – a personalized platform that supports a range of wellbeing needs.

Professional Development: Level up your skills with our training platforms, including LinkedIn Learning! 

Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. 

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process. 

Qualifications:

ABOUT YOUR SKILLS:  

  • Technical Expertise: Proficiency in architecting solutions, with experience in cloud-based technologies, preferably Microsoft Azure. Knowledge of container-based architectures, such as Kubernetes, is a plus. Expertise in architecture and solutions surrounding analytics and machine learning.
  • Cloud and Container Skills: Proficiency in architecting cloud-based solutions, with a preference for experience with Microsoft Azure. Experience in architecting solutions based on containers, particularly Kubernetes, for scalable and efficient messaging systems.
  • Stakeholder Management: Proven track record of excellent stakeholder management within the airport and airline industry, understanding diverse stakeholder needs and effectively communicating technical concepts.
  • Communication Skills: Exceptional communication skills to convey complex technical ideas and solutions to non-technical stakeholders within the airport domain.
  • Collaboration Skills: Strong collaborative skills to work closely with product teams, business stakeholders, and technical delivery teams to drive effective solutions tailored to airport needs.
  • AI & Machine Learning Expertise: Strong understanding of machine learning approaches (predictive models, time-series forecasting, optimisation techniques) and their application in operational environments.
  • Data Platforms & Engineering: Experience designing modern data platforms (e.g., data lakes, lakehouse architectures, streaming pipelines) and working with large-scale structured and unstructured datasets.

NICE-TO-HAVE  

  • Industry Knowledge: Broad functional understanding of airport business capabilities
  • Borders Domain Expertise: Understanding of border management solutions, including passenger processing, biometrics, identity management, and risk-based screening in government or aviation environments.

WHAT WE OFFER

 

We’re all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We’re really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

Flex Week: Work from home up to 2 days/week (depending on your team’s needs)

Flex Day: Make your workday suit your life and plans.

Flex Location: Take up to 30 days a year to work from any location in the world. 

Employee Wellbeing: We’ve got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health – a personalized platform that supports a range of wellbeing needs.

Professional Development: Level up your skills with our training platforms, including LinkedIn Learning! 

Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. 

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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