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Patterned Learning Ai Jobs in Massachusetts (NOW HIRING)

AI Engineer

Boston, MA · On-site

$50K - $112K/yr

... learning libraries like Scikit-Learn for data analysis - Engaging in complex data analysis and pattern recognition - Implementing AI solutions using open-source software - Applying natural language ...

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

Implement secure application patterns for authentication and authorization, including enterprise ... learning are expected. Desired Qualifications: * Experience building MCP servers, MCP tools ...

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

Implement secure application patterns for authentication and authorization, including enterprise ... continuous learning are expected. Desired Qualifications: Experience building MCP servers, MCP ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable ...

$181K/yr

Apply AI as a core component of the instructional design workflow, including rapid prototyping and ... Identify ineffective instructional design patterns, remediate them, and establish scalable best ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable ...

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

Develop scalable infrastructure patterns for enterprise AI workloads, including model integration ... Advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a ...

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

Develop scalable infrastructure patterns for enterprise AI workloads, including model integration ... Advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a ...

Showing results 21-40

Patterned Learning Ai information

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

Infographic showing various Patterned Learning Ai job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Machine Learning Engineer - Nashua, Nh - Rag/LLM/Ai

Boston, MA • Hybrid

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

$113K - $156K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Position Overview

A multinational technology and information-services business is seeking a Machine Learning Engineer for a hybrid position based in Nashua, New Hampshire. The engineer will help turn advanced AI research into dependable product capabilities that can serve users across a broad enterprise platform.

This role is centered on generative AI applications for research-heavy professional workflows. You will create and improve large language model services, semantic retrieval components, and coordinated agent systems while contributing to the technical foundations that support deployment, scale, observability, and responsible use.

What You Bring

Significant experience developing and productionizing machine learning solutions

Hands-on expertise with large language models, autonomous agents, and multi-step AI workflows

Strong command of retrieval-augmented generation, embeddings, vector indexing, and semantic search

Understanding of model release processes, experiment tracking, monitoring, and other MLOps practices

Professional Python engineering experience

Experience operating distributed workloads in AWS and Kubernetes

Additional Qualifications

Background building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments

12+ years in software development, or 8+ years of development experience combined with a doctoral degree

Degree in computer science, artificial intelligence, engineering, or a related technical discipline

How You Will Contribute

Primary Activities

A deeply hands-on individual contributor role

Engineer AI-driven product features that help professional users search, synthesize, and act on complex information

Develop resilient services and platform patterns for large-scale, distributed machine learning workloads

Create orchestration layers that connect LLMs, retrieval services, tools, and agent-based processes

Work alongside product engineering, data, infrastructure, and cybersecurity teams to meet enterprise standards for speed, availability, and protection

Compensation & Benefits

Opportunity to earn an annual performance bonus

The benefits package includes

Medical plan options

Dental coverage

Vision coverage

Paid vacation and other time-off programs

401(k) retirement savings plan with employer contribution when applicable

This role follows a hybrid work schedule in Nashua, New Hampshire.
Applicants must be authorized to work in the United States on a full-time basis now and in the future.