ZipRecruiter

Log In

2

Manager Remote Machine Learning Engineer Jobs in New Jersey

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Enable AI and machine learning capabilities through high quality and well managed data assets ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Enable AI and machine learning capabilities through high quality and well managed data assets ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Databricks

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate ...

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

You won't just manage servers; you will build the robust, full-stack "factory" where multi-agent ... This group is tasked to innovate, build, deploy and monitor production grade AI, machine learning ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in New Jersey

Manager Remote Machine Learning Engineer information

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.

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.

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.

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.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are popular job titles related to Manager Remote Machine Learning Engineer jobs in New Jersey?

For Manager Remote Machine Learning Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Manager Remote Machine Learning Engineer jobs in New Jersey look for?

The top searched job categories for Manager Remote Machine Learning Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Manager Remote Machine Learning Engineer jobs?

Cities in New Jersey with the most Manager Remote Machine Learning Engineer job openings:

Manager Remote Machine Learning Engineer jobs near you
Infographic showing various Manager Remote Machine Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior AI Engineer

Jersey City, NJ • Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

$109K - $149K/yr

Full-time

Re-posted 10 days ago

Job description

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.

The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.

Requirements

Key Responsibilities:

  • Design and implement AI algorithms and models to solve real-world problems.
  • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
  • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
  • Develop technical documentation as well as customer-facing documentation and presentations.
  • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings.

Qualifications:

  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production.
  • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure.
  • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions.
  • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with natural language processing (NLP) or computer vision applications.
  • Knowledge of MLOps principles and tools.
  • Familiarity with version control systems (e.g., Git) and Agile methodologies.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


#LI-remote

Apply