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Contract Meta Machine Learning Jobs in Boston, MA

NTT DATA, Inc.

AI Security Architect

Boston, MA · On-site

  • Dental

  • Vision

  • Life

  • Retirement

Design scalable AI, Machine Learning (ML), and Generative AI solution architectures. * Develop AI ... Google Gemini * Meta Llam * Mistral * Hugging Face * I Frameworks * LangChain * LangGraph

NorthEastern

Sr Research Scientist

Burlington, MA

$107K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

Northeastern University

Research Scientist

Burlington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

Northeastern University

Senior Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

NorthEastern

Research Scientist

Burlington, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

Northeastern University

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

NorthEastern

Senior Research Scientist

Burlington, MA

$107K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

Motion Recruitment Partners, LLC

Senior ML Engineer

Boston, MA · On-site

$113K - $155K/yr

Join a global leader in legal, regulatory, and business information as a Senior Machine Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote contract-to-hire ...

Collabera LLC

Quality Assurance Analyst

North Reading, MA · On-site

$28 - $30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Contract): 6 months Location: North Reading BOS 12 (6 A.M 2 P.M EST; 2 P.M 10 P.M EST) Pay Range: $28-$30/hr. Day to Day: * Collect high-quality data to support machine learning models used for ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Boston, MA

Contract Meta Machine Learning information

See Boston, MA salary details

$16

$23

$28

How much do contract meta machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract meta machine learning in Boston, MA is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $24.81 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Boston, MA?

For Contract Meta Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Boston, MA look for?

The top searched job categories for Contract Meta Machine Learning jobs in Boston, MA are:

What cities near Boston, MA are hiring for Contract Meta Machine Learning jobs?

Cities near Boston, MA with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,196 per year, or $23.2 per hour.

AI Security Architect

NTT DATA, Inc.

Boston, MA • On-site

Other

Dental, Vision, Life, Retirement

Posted 14 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 224 rated it services

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking an AI Security Architect to join their team in Boston, Massachusetts (US-MA), United States (US).
Job Description:
AI Security Architect
Level - L4
Location - US, Massachusetts (Boston Area) (Hybrid - Work from Client Office)
Position Start Date: 16 Aug 2026
Duration: 1 Year
Position Summary
  • The AI Architect is responsible for defining the enterprise AI strategy, designing scalable AI and Generative AI solutions, and leading the technical architecture for AI-driven products and business transformation initiatives.
  • The role bridges business objectives with emerging AI technologies, ensuring secure, scalable, ethical, and compliant AI implementations across cloud and on-premises environments.
The AI Architect works closely with business stakeholders, enterprise architects, data engineers, security teams, application developers, and data scientists to deliver production-ready AI solutions while establishing enterprise AI governance, standards, and best practices.
Key Responsibilities
  • I Strategy & Architecture
  • Define enterprise AI architecture aligned with business strategy and digital transformation objectives.
  • Design scalable AI, Machine Learning (ML), and Generative AI solution architectures.
  • Develop AI reference architectures, reusable frameworks, and implementation standards.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Establish enterprise AI roadmaps and technology blueprints.
  • Solution Design
  • Design end-to-end AI solutions integrating enterprise applications, cloud platforms, APIs, and data platforms.
  • rchitect Retrieval-Augmented Generation (RAG), AI agents, copilots, intelligent automation, and conversational AI solutions.
  • Define model selection strategies for LLMs, foundation models, and traditional ML models.
  • Design vector databases, prompt engineering frameworks, embeddings, and orchestration pipelines.
AI Platform & Engineering
  • Design AI platforms leveraging Azure AI, AWS AI, Google Vertex AI, OpenAI, Anthropic, or similar technologies.
  • Define scalable MLOps and LLMOps architectures.
  • Establish model lifecycle management, CI/CD pipelines, monitoring, and version control.
  • Optimize AI infrastructure for performance, scalability, reliability, and cost efficiency.
  • Governance, Risk & Compliance
  • Establish AI governance frameworks, responsible AI principles, and model risk management practices.
  • Ensure compliance with AI regulations, privacy requirements, and security standards.
  • Define controls for data protection, explainability, bias detection, model monitoring, and auditability.
  • Collaborate with GRC, Privacy, and Security teams to implement AI risk controls.
Security Architecture
  • Design secure AI solutions following Zero Trust principles.
  • Define security controls for AI models, APIs, prompts, embeddings, and training data.
  • Implement identity management, encryption, access controls, and secure deployment practices.
  • ddress AI-specific threats including prompt injection, model poisoning, data leakage, and adversarial attacks.
Technical Leadership
  • Provide architectural guidance to AI engineers, data scientists, and development teams.
  • Lead architecture reviews and technology assessments.
  • Mentor technical teams on AI best practices and emerging technologies.
  • Drive innovation through proof-of-concepts (POCs), pilots, and accelerator development.
  • Stakeholder Management
  • Collaborate with Enterprise Architects, CISO, business leaders to identify AI opportunities.
  • Translate business requirements into AI solution architectures.
  • Present architecture designs and technical recommendations to executive stakeholders.
  • Support pre-sales activities, solution proposals, and client workshops.
Required Qualifications
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Master's degree preferred.
  • 10+ years of experience in software engineering, cloud architecture, or enterprise solution architecture.
  • 5+ years of experience designing enterprise AI or Machine Learning solutions.
Required Technical Skills
  • rtificial Intelligence
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning (preferred)
  • GenAI Technologies
  • OpenAI
  • zure OpenAI
  • nthropic Claude
  • Google Gemini
  • Meta Llam
  • Mistral
  • Hugging Face
  • I Frameworks
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • CrewAI
  • utoGen
  • Programming
  • Python
  • Jav
  • C#
  • REST APIs
  • SQL
  • JavaScript (preferred)
  • Cloud Platforms
  • Microsoft Azure AI
  • WS AI Services
  • Google Cloud Vertex AI
  • Data Technologies
  • zure Data Platform
  • Databricks
  • Snowflake
  • Vector Databases (Pinecone, Weaviate, Milvus, Azure AI Search)
  • SQL/NoSQL databases
  • MLOps / LLMOps
  • MLflow
  • zure ML
  • Kubeflow
  • Docker
  • Kubernetes
  • GitHub Actions
  • zure DevOps
  • Security & Governance
  • I Governance Frameworks
  • Responsible AI
  • Model Monitoring
  • Data Privacy
  • I Risk Management
  • I Security
  • India DPDP Act
  • Soft Skills
  • Strategic thinking and innovation
  • Strong analytical and problem-solving abilities
  • Executive-level communication and presentation skills
  • Leadership and mentoring capabilities
  • Stakeholder management
  • Cross-functional collaboration
  • bility to simplify complex technical concepts for business audiences
  • Preferred Certifications
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • WS Certified Machine Learning Engineer
  • Google Professional Machine Learning Engineer
  • Databricks Certified Machine Learning Professional
  • NVIDIA AI Certifications
  • TOGAF
  • Certified Information Systems Security Professional (CISSP) (preferred)
  • ISO/IEC 42001 Lead Implementer or Lead Auditor (preferred)
  • Key Deliverables
  • Enterprise AI Strategy and Roadmap
  • I Reference Architecture
  • I Solution Designs
  • GenAI and Agentic AI Architecture
  • I Governance Framework
  • I Security Architecture
  • MLOps/LLMOps Framework
  • rchitecture Review Reports
  • Technology Evaluation and Recommendation Documents
  • I Standards and Best Practices
  • Proof of Concepts (POCs) and Technical Accelerators

bout NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is 110$/hr -125$/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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