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Remote Aws Machine Learning Jobs in Hoboken, NJ (NOW HIRING)

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$170K - $190K/yr

Manage and optimize AWS infrastructure for machine learning workloads, balancing cost-effectiveness, security, and availability. * CI/CD Pipeline Development: Build and maintain robust CI/CD ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

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Showing results 21-40

All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Hoboken, NJ

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Remote Aws Machine Learning jobs in Hoboken, NJ?

For Remote Aws Machine Learning jobs in Hoboken, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Hoboken, NJ look for?

The top searched job categories for Remote Aws Machine Learning jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Remote Aws Machine Learning jobs?

Cities near Hoboken, NJ with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

Product Manager - Machine Learning - Remote

NAVA Software Solutions

Manhattan, NY • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

NAVA Software solutions is looking for a Product Manager - Machine Learning
Details:
Product Manager - Machine Learning
Location: Remote project
Duration: 12 months
Job Functions:
Within the role, the Lead Product Manager will:
  • Develop and manage end-to-end Machine Learning technical product solutions.
  • Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning
  • Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives
  • Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption.
  • Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation
  • Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives
  • Rely upon design thinking / growth mindset to approach business problems with a strategic view
  • Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities
  • Champion new Machine Learning capabilities, functions, and processes within and across the organization

Education/Experience Requirements:
  • Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience
  • Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization
  • Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines
  • Familiarity with advanced reporting and analytics tools.
  • Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities
  • Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery
  • Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes
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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

Social media

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