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Ai Ml Project Manager Jobs in Boca Raton, FL (NOW HIRING)

US DEFAULT GROUP, INC.

Data & AI Engineer

Boca Raton, FL · On-site

$170 - $230/hr

Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and governance. * Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.

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Ai Ml Project Manager information

See Boca Raton, FL salary details

$36.5K

$97.4K

$153.7K

How much do ai ml project manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai ml project manager in Boca Raton, FL is $97,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,700.00 per year, depending on experience, location, and employer.

What is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

How much do AI ML project managers make?

AI ML project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data science, cloud platforms, or certifications can command higher salaries. Compensation often includes bonuses and benefits aligned with project scope and organizational size.

What is the salary of AI ML project manager?

The salary of an AI ML Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science may earn higher compensation, often including bonuses and benefits.

What are popular job titles related to Ai Ml Project Manager jobs in Boca Raton, FL?

For Ai Ml Project Manager jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Ai Ml Project Manager jobs in Boca Raton, FL look for?

The top searched job categories for Ai Ml Project Manager jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Ai Ml Project Manager jobs?

Cities near Boca Raton, FL with the most Ai Ml Project Manager job openings:

Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Boca Raton, FL as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $97,442 per year, or $46.8 per hour.

Data & AI Engineer

US DEFAULT GROUP, INC.

Boca Raton, FL • On-site

$170 - $230/hr

Other

Posted 4 days ago

Job description

About this position

The Principal Engineer – Data & AI is a senior, hands‑on lead engineer responsible for defining and implementing enterprise‑scale AI, data, and automation architectures and solutions that drive digital transformation across the organization. This role reports to the Director of AI and Automation and supports the technical direction, architecture standards, and delivery of advanced automation, data platforms, and AI‑driven solutions. This is an engineering‑first role, focused on building and operating production‑grade systems—not a research‑only data science position. The role operates in a highly collaborative environment with AI engineers, automation engineers or data scientists, legal domain experts, and business leaders to deliver AI automation, Gen AI, and advanced analytics solutions at scale.

Key Responsibilities

  • Drives and supports architecture decisions for AI, automation, and data platforms.
  • Define and maintain reference architectures, design standards, and reusable frameworks.
  • Design automation involving external applications or sites, APIs, and internal applications through scalable microservices.
  • Lead implementation of robust lakehouse/warehouse supporting analytics, automation, and AI workloads for agentic AI.
  • Establish patterns for batch and streaming pipelines, event‑driven architectures, and scalable data access.
  • Design and build robust data pipelines using technologies such as Azure Data Factory, Azure Data Lake, Snowflake, Databricks, SQL, Spark, Python, or other similar technologies.
  • Implement strong data quality, lineage, observability, governance, and auditability standards.
  • Deliver curated datasets, semantic models, and data products for analytics and downstream systems.
  • Lead development of Intelligent Document Processing (IDP), RAG pipelines, GenAI‑driven architectures, and NLP based querying.
  • Make the enterprise context and data available easy for business consumption and decisions.
  • Develop and identify meaningful insights through “big data”, assists in the creation of required ETL pipelines and data structures for Azure Data Lake, Databricks or snowflake, and Data Factory.

AI, Automation & GenAI

  • Design and deploy AI agents, GenAI models, IDP models, and workflow‑driven AI automation.
  • Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and governance.
  • Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.
  • Build secure, compliant RAG architectures with vector search and prompt/version management.
  • Lead the full lifecycle: discovery, architecture, development, testing, deployment, and support.
  • Ensure adherence to enterprise security, DevOps, compliance, and data governance standards.
  • Monitor and optimize performance, reliability, and cost of AI/automation platforms.
  • Collaborate with the department leader and technical lead to drive technical direction and architecture decisions aligning with standard tech stacks.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Analytics, or related field (Master’s degree is preferred).
  • 7+ years of software, data, AI or platform engineering experience.
  • 5+ years building data engineering, AI automation, or cloud‑native solutions.
  • Proven experience delivering production AI systems, including ML, MCP servers, GenAI, LLM, IDP, NLP, and RAG‑based architectures.
  • Strong hands‑on expertise in Python, SQL, React, C#, Java, and other frameworks.
  • Strong experience defining enterprise data structures, data migration across tools, metadata catalogs, and data governance standards, with hands‑on implementation of multi‑tier (raw, curated, consumption) data lake or warehouse architectures.
  • Deep experience with most of the Microsoft Azure Services (Data platforms, Docker, Functions, Kubernetes, Azure Containers, Function Apps, ASB, App Services, GitHub, and ML studio).
  • Strong stakeholder communication and technical leadership skills.

Preferred Skills

  • SQL, Python, Java, C#, React, Power Automate, Workato
  • LangChain, Hugging Face, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLP, MCP, NLTK, Airflow, Spark, Mistral, ML studio, shell scripting, UAMI, Yaml, and advanced libraries and other open-sources.

Robertson, Anschutz, Schneid, Crane & Partners, PLLC is a national law firm specializing in creditors’ rights and real estate law, offering employees the opportunity to work on high-impact legal matters in a fast-paced, collaborative environment with strong growth potential. RASCP fosters a collaborative, performance-driven culture where employees are empowered to take ownership of their work, contribute to meaningful client outcomes, and continuously develop their skills within a fast-paced, evolving legal environment. Employees benefit from exposure to complex, high-impact legal matters, creating opportunities for professional growth, specialization, and long-term career development in a dynamic and essential sector of the legal industry.

With a team of over 1,100 professionals operating across 20 states, RASCP has a strong reputation for delivering innovative, efficient, and results-driven legal solutions in areas including foreclosure, bankruptcy, litigation, compliance, and real estate matters. RASCP combines the resources and reach of a large organization with a client-focused, boutique-style approach, allowing teams to provide tailored solutions while maintaining strong attorney-client relationships.

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