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Remote Director Machine Learning Jobs in Virginia

At least three (3) years of direct experience in machine learning. * Must have a Advanced Degree ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

At least three (3) years of direct experience in machine learning. * Must have a Advanced Degree ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Remote(candidate needs to be based in the US preferablyCONUS) Reports to:President of Platforms ... Demonstrated success in integrating AI, machine learning, or agentic tools (e.g., autonomous agents ...

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

Attorney - Remote

Norfolk, VA · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Attorney - Remote

Roanoke, VA · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Lawyer - Remote

Suffolk, VA · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are the most commonly searched types of Remote Machine Learning jobs in Virginia? The most popular types of Remote Machine Learning jobs in Virginia are:
What job categories do people searching Remote Director Machine Learning jobs in Virginia look for? The top searched job categories for Remote Director Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Director Machine Learning jobs? Cities in Virginia with the most Remote Director Machine Learning job openings:
entry level machine learning engineer-remote/Data Scientist/Engineer - Junior (Remote)

entry level machine learning engineer-remote/Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Richmond, VA • On-site, Remote

Other

Posted 11 days ago


Job description

Get Job Offers with a Process which works!

You've done a ton of Leetcode. You've racked up certificates, done LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirements change every day. Companies are looking for Employees who can contribute on Projects from Day 1. So what is needed is the right tech stack and the right project work. Companies have options and as a Jobseeker you can have options also if you have the right tech stack and Project work Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

All visa types and U.S. citizens are encouraged to apply.

Check the links below:

  • please check the below links

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates:

  • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
  • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor's or Master's programs
  • Those struggling to land interviews despite having experience
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom. Please check the below links:

  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Client JOPP: Job Placement Program
  • Contact: https://www.synergisticit.com/contact-us/

The Market's Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.