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Telecommute Meta Tech Jobs (NOW HIRING)

Publicis Groupe Holdings B.V

Apex Activation

Fallston, NC · On-site +1

... Meta, Google, or Amazon. * Work from anywhere: Telecommute up to 6 weeks from over 100 countries ... Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from ...

Publicis Groupe Holdings B.V

Account Manager

Fallston, NC · On-site +1

... Meta, Google, or Amazon. * Work from anywhere: Telecommute up to 6 weeks from over 100 countries ... Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from ...

Publicis Groupe Holdings B.V

Account Manager

Fallston, NC · On-site +1

... Meta, Google, or Amazon. * Work from anywhere: Telecommute up to 6 weeks from over 100 countries ... Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from ...

Root Inc.

Senior Data Scientist, Growth

$157K - $189K/yr

We're harnessing the power of technology to revolutionize this archaic, complicated industry. Using ... Telecommuting is permitted within the U.S. Hours: Monday - Friday, 9:00am - 5:00pm EST Salary Range ...

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$27K

$40.2K

$56.5K

How much do telecommute meta tech jobs pay per year?

As of Jun 6, 2026, the average yearly pay for telecommute meta tech in the United States is $40,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $38,000.00 per year, depending on experience, location, and employer.

What is the difference between Telecommute Meta Tech vs Data Analyst?

AspectTelecommute Meta TechData Analyst
CredentialsBachelor's in Computer Science or related field, certifications like Meta Certified Digital Marketing AssociateBachelor's in Statistics, Data Science, or related field, certifications like Microsoft Certified Data Analyst
Work EnvironmentRemote, tech-focused, collaborative online platformsRemote or on-site, analytical and reporting tools used
Industry UsagePrimarily in tech, social media, digital marketingAcross finance, healthcare, marketing, and tech industries

While both roles can be performed remotely and require analytical skills, Telecommute Meta Tech focuses on digital marketing, social media, and tech platform management, whereas Data Analysts concentrate on interpreting data to inform business decisions across various industries.

More about Telecommute Meta Tech jobs
What are the most commonly searched types of Meta Tech jobs? The most popular types of Meta Tech jobs are:
What job categories do people searching Telecommute Meta Tech jobs look for? The top searched job categories for Telecommute Meta Tech jobs are:
Telecommute Meta Tech jobs near you
Infographic showing various Telecommute Meta Tech job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 84% Full Time, and 14% Part Time. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $40,199 per year, or $19.3 per hour.
AIML Engineer III - Treasury and Lending Platforms

AIML Engineer III - Treasury and Lending Platforms

Fidelity National Information Services Inc

Jacksonville, FL • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AIML Engineer III – Treasury and Lending Platforms

FIS Management Services, LLC seeks AIML Engineer III – Treasury and Lending Platforms in Jacksonville, FL to leverage a broad stack of Open Source and SaaS AI technologies such as Azure OpenAI, VectorDBs, RAG, RLHF, and more to build scalable AI solutions for financial workflows including cash flow forecasting, treasury operations, liquidity optimization and regulatory compliance.

Design, implement, and maintain cloud-native infrastructure using AWS, Azure, or GCP, with a focus on container orchestration (EKS/ECS, GKE), infrastructure-as-code (Terraform, CloudFormation), and support for GPU/accelerated workloads. Architect and optimize advanced MLOps pipelines on Azure, automating data ingestion, distributed GPU model training, versioning, CI/CD validation, AKS deployment, and monitoring to deliver secure, compliant, and scalable AI solutions for complex financial workflows. Conduct original research on emerging AI techniques such as meta-learning and federated learning, while evaluating and comparing commercial and open-source LLMs (e.g., OpenAI, Anthropic, Mistral, Meta Llama) for performance, cost-efficiency, alignment, and reliability to inform scalable and cutting-edge AI system design. Lead performance optimization of large-scale AI models by applying techniques such as model quantization, pruning, and mixed-precision training on distributed GPU clusters to reduce inference latency in real-time financial systems. Build and deploy advanced Machine learning and statistical algorithms for financial risk forecasting and anomaly detection on high dimensional, multivariate time-series data. Integrate domain knowledge and ensure model interpretability and compliance. Write clear, maintainable code, conduct code reviews, and mentor junior teammates. Evangelize automated testing, code linting, and performance monitoring.

Requirements: Bachelor's degree or foreign equivalent in Statistics, Mathematics, Computer Science or related field and six (6) years of progressively responsible experience in the job offered or a related occupation: working with Machine Learning (ML) engineering, analytics, or data engineering; developing advanced Machine Learning solutions including applying AI/ML techniques in financial services or highly sensitive confidential data regulated industries; integrating commercial LLM (Large Language Models) APIs including OpenAI, Anthropic or Cohere into software applications, enabling intelligent agents, summarization, and question answering capabilities; working in financial services and fintech domain including operational efficiency, reporting automation, financial data intelligence, and workflow optimization; working with any combination of tools including Python, PyTorch, TensorFlow/Keras DL stacks, Hugging Face Transformers, LangChain, fine-tuning, and RLHF modern Gen-AI tooling; and performing AI model evaluation, prompt engineering, and Retrieval-Augmented Generation (RAG) techniques. In the alternative, the employer will accept a Master's degree in the above listed fields and four (4) years of experience in the above listed skills. Telecommuting and/or working from home may be permissible pursuant to company policies.

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