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1636 results (64 new)

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AI/ML Solutions Engineer

Bankunited

Miami Lakes, Florida • Today

Full-time

Lead Machine Learning Engineer

Kforce Technology Staffing

Davie, Florida • Today

Contract, Third Party

$100 - $120 hourly

Top Priority: Hybrid: AI/ML Engineer || Sunrise, FL (3 days per week)

Montek System

Hybrid in Sunrise, Florida • Yesterday

Easy Apply

Contract

35 - 50

Senior Solutions Architect - AI/ML - Services Delivery

Snowflake Inc.

Remote or North Carolina • Today

Full-time

USD 160,000.00 - 210,000.00 per year

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $190,000

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$150,000 - $170,000

Solutions Architect / AI Engineer - W2 (Part time - Job) - Public Trust Clearance

Cyma Systems Inc

Remote • 27d ago

Easy Apply

Contract

Depends on Experience

Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Empower Annuity Insurance Company of America

Remote • Today

Full-time

USD 125,400.00 - 181,875.00 per year

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$100,000 - $190,000

AI Researcher / AI Engineer

Anson McCade

Miami, Florida • 9d ago

Full-time

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 27d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

Senior AI Engineer

American Express

Sunrise, Florida • Today

Full-time

USD 123,000.00 - 215,250.00 per year

AI Engineer II

American Express

Sunrise, Florida • Today

Full-time

USD 89,250.00 - 150,250.00 per year

Sr AI Engineer I - Global Servicing Technology

American Express

Sunrise, Florida • Today

Full-time

USD 123,000.00 - 215,250.00 per year

AI Prompt Security Engineer

Apex Systems

Miami, Florida • Today

Easy Apply

Full-time

$130,000 - $140,000

AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

TechniPros, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Contract

Depends on Experience

AI/ML Delivery Engineer

General Dynamics

Remote • Today

Full-time

USD 164,382.00 - 207,000.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

Principal AI/ML Engineer - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.

TechniPros, LLC

Remote or Columbia, South Carolina • Today

Easy Apply

Contract

Depends on Experience

Forward Deployed AI Solutions Engineer

Natera, Inc.

Remote • Today

Full-time

USD 105,700.00 - 132,100.00 per year

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

AI/ML Engineer

QUANTUM TECHNOLOGIES LLC

Remote • Today

Easy Apply

Contract

$70 - $90

Machine Learning Software Engineer II

Cambium Learning Group, Inc.

Remote or Dallas, Texas • Today

Full-time

Sr AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI/ML Engineer (LLM & Generative AI)

Zolon Tech Solutions Inc

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

AI / Machine Learning Engineer (Data Science) – Remote

BMR Infotek

Remote • 23d ago

Easy Apply

Full-time

90,000 - 160,000

AI / Machine Learning Engineer

Cybermedia Technologies LLC

Remote • Today

Full-time

Principal AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Plymouth, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Job Details

Skills

Data Analysis
Data Engineering
Infrastructure Architecture
Interfaces
Workflow
Innovation
Large Language Models (LLMs)
Regulatory Compliance
Banking
Policies and Procedures
Training
Computer Science
Data Science
Mathematics
Generative Artificial Intelligence (AI)
Benchmarking
Amazon S3
Amazon Redshift
SQL
NoSQL
Database
Risk Assessment
Use Cases
Testing
Financial Services
Vector Databases
Semantic Search
Python
PyTorch
TensorFlow
Risk Management
Cloud Computing
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Google Cloud Platform
Google Cloud
Vertex
Extract
Transform
Load
Step-Functions
Data Modeling
Database Design
Natural Language Processing
Language Models
Data Security
Privacy
Finance
Amazon Web Services
Management
Emerging Technologies
Orchestration
Prompt Engineering
Artificial Intelligence
Systems Design
FOCUS
Adaptability
Cloud Architecture

Data Analysis
Data Engineering
Infrastructure Architecture
Interfaces
Workflow
Innovation
Large Language Models (LLMs)
Regulatory Compliance
Banking
Policies and Procedures
Training
Computer Science
Data Science
Mathematics
Generative Artificial Intelligence (AI)
Benchmarking
Amazon S3
Amazon Redshift
SQL
NoSQL
Database
Risk Assessment
Use Cases
Testing
Financial Services
Vector Databases
Semantic Search
Python
PyTorch
TensorFlow
Risk Management
Cloud Computing
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Google Cloud Platform
Google Cloud
Vertex
Extract
Transform
Load
Step-Functions
Data Modeling
Database Design
Natural Language Processing
Language Models
Data Security
Privacy
Finance
Amazon Web Services
Management
Emerging Technologies
Orchestration
Prompt Engineering
Artificial Intelligence
Systems Design
FOCUS
Adaptability
Cloud Architecture

Summary

JOB SUMMARY: We are seeking an Artificial Intelligence/Machine Leaning (AI/ML) Solutions Engineer specialized in both AI & ML technologies and data engineering to join our data analytics team at BankUnited. In this role, you will design, develop, and deploy end-to-end AI & ML solutions that enhance our financial services, improve customer experiences, and optimize internal operations.This position offers an exciting opportunity to leverage your expertise in AI technologies and data engineering to transform our banking operations. You will be responsible for building comprehensive solutions from data pipeline development to AI/ML model deployment, addressing complex financial services challenges while working in a collaborative environment with cross-functional teams.As an ideal candidate, you will combine technical expertise in AI/ML with strong data engineering skills on AWS to build resilient, adaptable systems that can evolve with rapidly changing technologies. Success in this role requires practical implementation experience across the entire AI solution lifecycle - from data preparation and infrastructure design to model development and deployment - all within a regulated banking environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive models
Develops and maintains machine learning pipelines using AWS SageMaker or similar cloud platforms
Designs and implements data pipelines to support AI/ML workflows on AWS
Develops ETL processes to prepare data for machine learning models
Collaborates with stakeholders to identify opportunities for AI implementation and innovation
Evaluates, fine-tune, and deploys large language models for financial services applications
Performs comprehensive model risk assessments and develop mitigation strategies
Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness
Documents model limitations and establish monitoring systems for early risk detection
Works with compliance teams to ensure AI systems meet regulatory requirements for model risk management
Ensures AI systems comply with banking regulations and ethical standards
Stays current with rapid advancements in AI technologies and methodologies.
Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
Adheres to Bank policies and procedures and completes required training.
Identifies and reports suspicious activity.

QUALIFICATIONS

Education

Bachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required Or

Experience

5+ years of experience required
Proven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) required
Experience building and deploying machine learning models in production environments required
Experience implementing model validation techniques and performance benchmarking required
Experience with AWS data services (S3, Glue, Redshift, Athena) required
Experience with SQL and NoSQL databases required
Experience working with data scientists, product managers, and business units preferred
Experience developing model governance frameworks compatible with financial service regulations preferred
Experience with quantitative model risk assessment and establishment of risk thresholds preferred
Proven track record working with various Machine Learning Models, implementing them for various business use cases preferred
Expertise in designing controlled testing environments to benchmark model performance against established standards preferred
Experience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferred
Experience in a regulated industry, particularly financial services preferred
Experience with vector databases and semantic search technologies preferred
Experience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancements

Licenses and Certifications

Knowledge, Skills, and Abilities

Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) required
Strong understanding of model risk management frameworks and methodologies required
Knowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities required
Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI) required
Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required
Understanding of data modeling and database design principles required
Understanding of NLP concepts and experience working with language models required
Knowledge of data security and privacy considerations, especially in financial contexts required
Strong collaborative skills and experience working in cross-functional teams required
Ability to communicate complex technical concepts to non-technical stakeholders required
Proficiency in using Amazon Q Business for enterprise operations and solutions required
Demonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferred
Familiarity with AI orchestration and agent technologies preferred
Knowledge of prompt engineering and model fine-tuning techniques preferred
Understanding of AI explainability and bias mitigation approaches preferred
Forward-thinking approach to AI system design, with focus on adaptability and resilience preferred
Deep understanding of cloud architecture principles to design modular, interchangeable systems preferred
Demonstrated ability to anticipate technological changes and build solutions that can evolve preferred

Additional Information

Candidates residing in locations within BankUnited's footprint may be given preference.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL193219
Position Id: 106a04e17d0563bd0a54b77ce7375245
Posted 19 hours ago

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Job Details

Skills

Data Analysis
Data Engineering
Infrastructure Architecture
Interfaces
Workflow
Innovation
Large Language Models (LLMs)
Regulatory Compliance
Banking
Policies and Procedures
Training
Computer Science
Data Science
Mathematics
Generative Artificial Intelligence (AI)
Benchmarking
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Amazon Redshift
SQL
NoSQL
Database
Risk Assessment
Use Cases
Testing
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PyTorch
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Risk Management
Cloud Computing
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Machine Learning (ML)
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Step-Functions
Data Modeling
Database Design
Natural Language Processing
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Management
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Artificial Intelligence
Systems Design
FOCUS
Adaptability
Cloud Architecture

Data Analysis
Data Engineering
Infrastructure Architecture
Interfaces
Workflow
Innovation
Large Language Models (LLMs)
Regulatory Compliance
Banking
Policies and Procedures
Training
Computer Science
Data Science
Mathematics
Generative Artificial Intelligence (AI)
Benchmarking
Amazon S3
Amazon Redshift
SQL
NoSQL
Database
Risk Assessment
Use Cases
Testing
Financial Services
Vector Databases
Semantic Search
Python
PyTorch
TensorFlow
Risk Management
Cloud Computing
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Google Cloud Platform
Google Cloud
Vertex
Extract
Transform
Load
Step-Functions
Data Modeling
Database Design
Natural Language Processing
Language Models
Data Security
Privacy
Finance
Amazon Web Services
Management
Emerging Technologies
Orchestration
Prompt Engineering
Artificial Intelligence
Systems Design
FOCUS
Adaptability
Cloud Architecture

Summary

Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive models
Develops and maintains machine learning pipelines using AWS SageMaker or similar cloud platforms
Designs and implements data pipelines to support AI/ML workflows on AWS
Develops ETL processes to prepare data for machine learning models
Collaborates with stakeholders to identify opportunities for AI implementation and innovation
Evaluates, fine-tune, and deploys large language models for financial services applications
Performs comprehensive model risk assessments and develop mitigation strategies
Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness
Documents model limitations and establish monitoring systems for early risk detection
Works with compliance teams to ensure AI systems meet regulatory requirements for model risk management
Ensures AI systems comply with banking regulations and ethical standards
Stays current with rapid advancements in AI technologies and methodologies.
Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
Adheres to Bank policies and procedures and completes required training.
Identifies and reports suspicious activity.

QUALIFICATIONS

Education

Bachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required Or

Experience

5+ years of experience required
Proven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) required
Experience building and deploying machine learning models in production environments required
Experience implementing model validation techniques and performance benchmarking required
Experience with AWS data services (S3, Glue, Redshift, Athena) required
Experience with SQL and NoSQL databases required
Experience working with data scientists, product managers, and business units preferred
Experience developing model governance frameworks compatible with financial service regulations preferred
Experience with quantitative model risk assessment and establishment of risk thresholds preferred
Proven track record working with various Machine Learning Models, implementing them for various business use cases preferred
Expertise in designing controlled testing environments to benchmark model performance against established standards preferred
Experience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferred
Experience in a regulated industry, particularly financial services preferred
Experience with vector databases and semantic search technologies preferred
Experience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancements

Licenses and Certifications

Knowledge, Skills, and Abilities

Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) required
Strong understanding of model risk management frameworks and methodologies required
Knowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities required
Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI) required
Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required
Understanding of data modeling and database design principles required
Understanding of NLP concepts and experience working with language models required
Knowledge of data security and privacy considerations, especially in financial contexts required
Strong collaborative skills and experience working in cross-functional teams required
Ability to communicate complex technical concepts to non-technical stakeholders required
Proficiency in using Amazon Q Business for enterprise operations and solutions required
Demonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferred
Familiarity with AI orchestration and agent technologies preferred
Knowledge of prompt engineering and model fine-tuning techniques preferred
Understanding of AI explainability and bias mitigation approaches preferred
Forward-thinking approach to AI system design, with focus on adaptability and resilience preferred
Deep understanding of cloud architecture principles to design modular, interchangeable systems preferred
Demonstrated ability to anticipate technological changes and build solutions that can evolve preferred

Additional Information

Candidates residing in locations within BankUnited's footprint may be given preference.

Dice Id: RTL193219
Position Id: 106a04e17d0563bd0a54b77ce7375245
Posted 19 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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