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Manager Remote Machine Learning Engineer Jobs in Boiling Springs, NC

Vestas Wind Systems

Manager NCRs & Claims MED

Crouse, NC · On-site +1

A University Degree in Engineering, Business Administration, or a PMP certification. * Fluency in ... Your Skills * PMO & Remote Leadership: Experience in managing complex projects and leading teams ...

ABB

Sales Specialist Auto

Dallas, NC · On-site +1

... Engineering or similar. * 5 years of experience in Sales, working as Key Account Manager with ... Learning & Training : Take advantage of a wide range of learning opportunities grow, upskill, and ...

ABB

Sr Product Marketing Specialist Indoor Products

NC · On-site +1

Product Marketing Manager __ Your role and responsibilities: As the Senior Product Marketing ... The ideal candidate would be located in Cary, NC or Lake Mary, FL and work a hybrid-remote schedule ...

Publicis Groupe Holdings B.V

Fullstack

Fallston, NC · On-site +1

Overview We are looking for a Full Stack Developer to join the Martech team at Publicis Groupe ... Experience working with CRM platforms or within the Martech ecosystem. * Experience in Agile ...

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Boiling Springs, NC

Manager Remote Machine Learning Engineer information

See Boiling Springs, NC salary details

$25.9K

$58.3K

$98.1K

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

As of Jul 16, 2026, the average yearly pay for manager remote machine learning engineer in Boiling Springs, NC is $58,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $63,300.00 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

Business Analyst - Oracle Finance Cross Stream Integration Lead

SGS U.S. Holding Inc.

Fallston, NC • Remote

Full-time

Posted 9 days ago

Job description

Company Description

SGS is the world's leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.

Our brand promise - "when you need to be sure" - underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.

Job Description

The Business Analyst - Cross Workstream Integration Lead for Record to Report & Financial Reporting, plays a critical role within Corporate IT, driving process excellence and seamless integrations across the R2R workstream. This position partners closely with BAs, SMEs, SEs, GPOs, and business stakeholders to ensure endtoend process alignment.

In this role, you will be responsible for analysing and optimising R2R and Financial Reporting processes, defining system and integration requirements, and ensuring that solutions meet business needs. You will support design workshops, document functional specifications, guide configuration activities, and oversee crossworkstream impacts to secure consistent process execution. The position also involves collaborating with technical teams to validate integrations, supporting testing cycles, and contributing to continuous improvement across ERP landscapes, particularly Oracle EBS and/or Oracle Fusion Cloud.

Responsibilities:

Collaboration & Stakeholder Engagement

  • Partner with GPOs, Corporate, Regional, and SubRegional teams to understand financial and R2R needs and ensure accurate ERP process mapping.
  • Work with Finance and functional stakeholders to assess requirements, align with SGS standards, and translate needs into functional and technical specifications.

Solution Design

  • Define technical designs for customizations, extensions, and integrations aligned with business processes and accounting requirements.
  • Analyse complex issues and propose effective endtoend solutions.

Integration

  • Design and support integrations with thirdparty systems and all processes impacting R2R and upstream modules.
  • Ensure smooth alignment of all inputs feeding into R2R.

Software Development Oversight

  • Oversee development activities to ensure compliance with quality, architecture, security, and performance standards.
  • Review and validate deliverables against business and technical requirements.

Requirements Analysis & Documentation

  • Analyse and document business and application requirements using agreed standards.
  • Prepare epics, user stories, functional designs, acceptance criteria, and support test plan validation and UAT activities.

Technical Collaboration

  • Work with technical teams to ensure clear understanding of specifications.
  • Support training material creation and contribute to R2R knowledge documentation.

Demand Management

  • Support demand analysis and maintain visibility over backlog items, improvements, changes, upgrades, and technology refresh initiatives.
  • Assist with prioritization and impact assessments.

Service Support

  • Provide functional support to Service Managers, clarifying service requests and ensuring solutions meet operational needs.
Qualifications
  • Degree in Finance or IT/Computer Science, with handson experience.
  • Strong business analysis skills (process modelling, requirements, user stories/use cases).
  • Experience with Oracle eBusiness Suite or Oracle Fusion Cloud, with strong functional knowledge of Finance modules (GL, AP, AR, Cash Management, Fixed Assets) and related Supply Chain modules.
  • Familiarity with banking file formats (bank statements, electronic payments, direct debits, credit card files).
  • Experience with tools such as APRO Banking Gateway, Data Loader, More4Apps, iStudio.
  • Proven ability to manage requirements across the full delivery and operational lifecycle.
  • Strong analytical, problemsolving, communication, and stakeholdermanagement skills.
  • Understanding of software lifecycle, quality, security, and risk management.

Nice to have

  • Agile/DevOps/Lean methodologies and basic programming exposure.
Additional Information

Why SGS?

  • Join a globally recognized and stable company, a leader in the Testing, Inspection, and Certification (TIC) industry.
  • Enjoy a flexible schedule and a remote work model.
  • Access continuous learning opportunities through SGS University and Campus.
  • Collaborate in a multinational environment with colleagues from various continents.

Apply Now:
At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to join our motivated and dynamic team!

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