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Temporary Meta Machine Learning Jobs in Virginia

HII

Electrician - Navy/Submarine

Newport News, VA

$22.75 - $31/hr

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

HII

Electrician - Hiring Now

Newport News, VA

$22.75 - $31/hr

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Molson Coors

Temporary Brewery Worker

Elkton, VA

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Molson Coors

Temporary Brewery Worker

Elkton, VA · On-site

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Leinenkugel's

Temporary Brewery Worker

Elkton, VA

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Truist

Decision Scientist II

Richmond, VA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes ...

Sigmatech

Data Analyst

Arlington, VA · Hybrid

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

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Temporary Meta Machine Learning information

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

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the most commonly searched types of Meta Machine Learning jobs in Virginia? The most popular types of Meta Machine Learning jobs in Virginia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Virginia? For Temporary Meta Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Virginia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Temporary Meta Machine Learning jobs? Cities in Virginia with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Full Stack Specialist Developer (Python, Angular)

Full Stack Specialist Developer (Python, Angular)

Mindlance

Mclean, VA

Other

Posted 24 days ago

Job description

Position Title: Full Stack Specialist
Duration: McLean, VA - fully onsite
Location: 6 months possible temp to hire
About the Role:
We are seeking a highly experienced hands-on Full Stack Engineer to design and development of cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Angular for front-end development and Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, UX designers, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Must Have Qualifications: Angular, Python, microservices architecture, UI, AWS and 3+ year on AI/ML.
Key Responsibilities:
  • rchitect and implement scalable Full Stack AI Agents, Agentic Workflows, and Gen AI applications to address diverse and complex business use cases.
  • Develop, optimize, and maintain the front-end using Angular, ensuring a seamless user experience.
  • Design and deploy Python-based microservices for robust orchestration and integration with AI models.
  • Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
  • Implement solutions leveraging modern design patterns and best practices for full stack development.
  • Build and maintain RESTful APIs to enable seamless communication between the front end and back end.
  • Collaborate with cross-functional teams of UI/UX designers, data engineers, and Gen AI scientists to build full-stack Gen AI experiences.
  • Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
  • Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
  • 10+ years of experience in full stack development, with 3+ years in applied Gen AI or LLM based solutions.
  • Deep expertise in Angular, Python, and microservices architecture.
  • Proven experience with cloud-native development, particularly AWS services.
  • Strong programming skills and familiarity with AI/ML libraries and frameworks.
  • Demonstrated ability to work in cross-functional agile teams.
  • Please provide Github link for candidate's code repository. Also, please vet the candidate thoroughly for technical skills.
Preferred Qualifications:
  • Experience in AI-powered application development.
  • Familiarity with CI/CD practices for DevOps and scalable deployment.
  • Hands-on experience with enterprise AI governance and ethical deployment frameworks.
  • Contributions to open-source projects or publications in software development domains.

EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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