Search Jobs | Dice.com

1629 results (51 new)

Group by company

AI/ML Solutions Engineer

Bankunited

Miami Lakes, Florida • Today

Full-time

AI Program/Project Manager-AI/ML Solutions

Cotiviti

Remote • Today

Full-time

USD 100,000.00 - 140,000.00 per year

AI/ML Solutions Architect – AWS

isolve technology inc

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

AI / ML Engineer

Kforce Technology Staffing

Doral, Florida • Today

Full-time

$155,000 - $165,000 annually

Engineer, AI/ML

Holland America Line

Miami, Florida • Today

Full-time

Lead Machine Learning Engineer

Kforce Technology Staffing

Davie, Florida • Today

Contract, Third Party

$100 - $120 hourly

Senior ML Engineer

Kforce Technology Staffing

Fort Lauderdale, Florida • Today

Contract

$85 - $115 hourly

AI/ML Integration Engineer ( MCP/DMCP)

Spar Information Systems

Remote • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

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

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

Machine Learning Platform Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$140,000 - $180,000

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

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $190,000

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

Next Step Systems

Remote • Today

Easy Apply

Full-time

$160,000 - $190,000

Applied ML Scientist/Engineer

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Infrastructure Engineer / Financial Services / Miami

Motion Recruitment Partners, LLC

Miami, Florida • Today

Easy Apply

Full-time

$140000 - $200000

Senior Software Engineer - Cloud Data Solutions

Fiserv, Inc.

Pompano Beach, Florida • 30+d ago

Full-time

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

AI/Machine Learning Engineer with Databricks

EPAM Systems

Remote • Today

Full-time

Staff AI/ML Engineer, Data Products & AI

Dexcom

Remote or San Diego, California • Today

Full-time

USD 164,200.00 - 273,600.00 per year

AI/ML Engineer-NLP, Machine Translation (W2 only)

New Millennium Consulting

Remote • Today

Easy Apply

Contract

50 - 52

Gen AI/ML Engineer - Entry Level

NET2ASPIRE LLC

Remote • 6d ago

Easy Apply

Contract

33 - 40

Machine Learning / AI Engineer

Yale University

Remote • Today

Full-time

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Tempe, Arizona • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Tempe, Arizona • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Sr. AI / ML Engineer

CompuForce

Remote • 19d ago

Easy Apply

Full-time

150,000 - 240,000

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Today

Full-time

USD 152,000.00 - 220,000.00 per year

Senior AI Engineer, Databricks, ML, Spark ML

EPAM Systems

Remote • Today

Full-time

AI / ML Engineer- Data Science | Remote W2 Role

Magnum Technologies, Inc.

Remote • Today

Easy Apply

Contract

$50 - $60

AI/ML Engineer

Medinext Global LLC

Remote • Today

Easy Apply

Full-time

70,000 - 120,000

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

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 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Similar Jobs

Engineer, AI/ML

Miami, Florida

•

Today

Job Description Shape the Future of Enterprise AI at Carnival Corporation Are you passionate about building cutting-edge AI solutions that move beyond experimentation and into real-world impact? Carnival Corporation is seeking an innovative AI / ML Engineer to help design, build, and scale the next generation of intelligent systems that will transform how our corporate team's work. In this role, you will be a part of our Corporate Data & AI strategy team to develop production-grade AI product

Full-time

AI/ML Engineer

No location provided

•

Today

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific method

Full-time

USD 96,300.00 - 123,840.00 per year

AI Engineer ( Full-Time Remote)

Remote

•

21d ago

Location: DMV area, hybrid primarily remote with in-person client engagement as needed Travel Requirements: Occasional travel within the DC-metro area for customer engagements and team on-sites Background Check Required: Yes Client : Cloud AI Position Summary The AI Engineer builds, evaluates, and operates the generative AI and machine learning capabilities inside CloudAI's products and customer solutions. The role spans the full lifecycle: selecting and adapting models, designing retrieval and

Easy Apply

Full-time, Third Party

Depends on Experience

Innovation Engineer- Remote (Anywhere in the U.S.)

Remote

•

Today

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation's top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. General Description GuidePoint Security is see

Full-time

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

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 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Similar Jobs

Engineer, AI/ML

Miami, Florida

•

Today

Full-time

AI/ML Engineer

No location provided

•

Today

Full-time

USD 96,300.00 - 123,840.00 per year

AI Engineer ( Full-Time Remote)

Remote

•

21d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Innovation Engineer- Remote (Anywhere in the U.S.)

Remote

•

Today

Full-time