Search Jobs | Dice.com

330 results (6 new)

Group by company

Data Science/MLOps Engineer

ADDSOURCE

Chicago, Illinois • Today

Easy Apply

Third Party

Faculty Open Rank (Tenure) - Data Science and AI in Health Professions Education - Medical Education

University of Illinois

Chicago, Illinois • Today

Full-time

USD 90,000.00 per year

Faculty Open Rank (Non Tenure) Data Science and AI in Health Professions Education

University of Illinois

Chicago, Illinois • Today

Full-time

USD 90,000.00 per year

Data Science Engineer Internship

CCC Information Services Inc.

Chicago, Illinois • Today

Part-time

USD 20.00 - 43.00 per hour

Associate, Data Science, Credit Risk

Avant LLC

Chicago, Illinois • 20d ago

Full-time

USD 95,000.00 - 130,000.00 per year

Senior Manager, Data Science - Cash Flow Underwriting

Capital One

Chicago, Illinois • Today

Full-time

Data Science Manager

Kemper Corporation

Chicago, Illinois • Today

Full-time

USD 115,700.00 - 192,900.00 per year

Advanced Data Science Associate Consultant

ZS Associates

Chicago, Illinois • Today

Full-time

USD 140,000.00 - 153,500.00 per year

AI and Data Science Lead

Navistar International Corp.

Lisle, Illinois • Today

Full-time

USD 191,200.00 - 286,800.00 per year

Sr. Manager, Data Science (Product & Engineering)

The Chamberlain Group

Oak Brook, Illinois • Today

Full-time

USD 129,700.00 - 226,900.00 per year

Sr. Manager, Data Science (Marketing)

The Chamberlain Group

Oak Brook, Illinois • Today

Full-time

USD 129,700.00 - 226,900.00 per year

Software Engineer - Data Science

Robert Half

Naperville, Illinois • Today

Easy Apply

Contract

USD 51.46 - 59.59 per hour

Director, Data Engineering & Data Science Engineering

Ritchie Bros.

Westchester, Illinois • Today

Full-time

USD 171,290.00 - 214,140.00 per year

Data Engineer

IMC

Chicago, Illinois • Today

Full-time

USD 175,000.00 - 225,000.00 per year

Data Engineer

IMC

Chicago, Illinois • 19d ago

Full-time

USD 175,000.00 - 225,000.00 per year

Senior ML & Data Science Engineer Remote (Full-Time) | Bay Area Candidates Preferred

Prudent Technologies and Consulting

Remote • Today

Easy Apply

Full-time

Depends on Experience

AI / Machine Learning Engineer (Data Science) – Remote

BMR Infotek

Remote • 15d ago

Easy Apply

Full-time

90,000 - 160,000

Senior Data Science Engineer Specialist - Data Scientist

Concurrent Technologies Corporation

Remote or Johnstown, Pennsylvania • Today

Full-time

AVP, Data Science & Analytics - Top Tech Distinguished Engineer - Remote

Molina Healthcare

Remote • Today

Full-time

USD 161,914.00 - 315,732.00 per year

AVP, AI (Data Science/Engineer) Remote - EST

Arch Capital Group

Remote or Raleigh, North Carolina • Today

Full-time

USD 185,000.00 - 235,000.00 per year

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Remote or Johnstown, Pennsylvania • Today

Full-time

Sr. Machine Learning Engineer (Data Science)

Quantiphi Inc.

Remote • Today

Full-time

Staff, Analytics Engineer, GTM Data Science & Analytics

Twilio

Remote • Today

Full-time

USD 155,520.00 - 194,400.00 per year

Associate Data Engineer 2027

IBM

Chicago, Illinois • Today

Full-time

Senior Data Science Manager - Marketing Science

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 180,000.00 - 210,000.00 per year

Data Science Analyst

Stride, Inc

Remote • Today

Full-time

USD 57,519.75 - 82,000.00 per year

AI Training Expert Data Science - (Contract - Remote)

Dice Talent & Staffing Solutions

Remote • 4d ago

Easy Apply

Full-time

$75 - $75

Pega Data Science and Analytics

RapidIT, Inc

Remote or Hybrid in Vienna, Virginia • Today

Easy Apply

Contract

Depends on Experience

Project Planner I (Data Science Partner Engagement Specialist) Nicholas School (Remote)

Duke University

Remote or Durham, North Carolina • Today

Full-time

USD 62,932.00 - 102,490.00 per year

Sr. Data Science Manager, Content Distribution

Netflix, Inc.

Remote • Today

Full-time

Compensation information provided in the description

ADDSOURCE

Job Details

Skills

SFCC Demandware
Devops
Amazon Web Services
Amazon Elastic Compute Cloud
Terraform
Nosql
Technical Documentation
Performance Tuning
Kubernetes
communication skills
Machine Learning
DATA SCIENCE
Docker
data Processing
tensorflow
pytorch
Data Warehousing
backend
Data Analytics
Governance
Distributed Systems
Problem solving
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Requirements Analysis
Cloud Services
Product Design
Generative AI
Code Review
Solution Architecture
Prompt Engineering
Model Validation
Safety Principles
Cloud Engineering
Machine Learning Operations
Python (Programming Language)
Software Engineering
Health Care
Data Logging
Clinical Works
Conceptual Models
Cost Optimisation
Infrastructure Automation Frameworks
Industry Practices
Amazon S3
Health Level Seven International
Functional Programming
Scikit Learn
Stakeholder Communications
Feature Engineering
Biomedical Engineering
Project Collaboration
Data Ingestion
Data Stores

SFCC Demandware
Devops
Amazon Web Services
Amazon Elastic Compute Cloud
Terraform
Nosql
Technical Documentation
Performance Tuning
Kubernetes
communication skills
Machine Learning
DATA SCIENCE
Docker
data Processing
tensorflow
pytorch
Data Warehousing
backend
Data Analytics
Governance
Distributed Systems
Problem solving
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Requirements Analysis
Cloud Services
Product Design
Generative AI
Code Review
Solution Architecture
Prompt Engineering
Model Validation
Safety Principles
Cloud Engineering
Machine Learning Operations
Python (Programming Language)
Software Engineering
Health Care
Data Logging
Clinical Works
Conceptual Models
Cost Optimisation
Infrastructure Automation Frameworks
Industry Practices
Amazon S3
Health Level Seven International
Functional Programming
Scikit Learn
Stakeholder Communications
Feature Engineering
Biomedical Engineering
Project Collaboration
Data Ingestion
Data Stores

Summary

Role: Data Science/MLOps Engineer

Experience: - Min 8+ Years

Location: - Chicago, IL

We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud technologies, along with hands on experience in Terraform. The role involves building scalable data driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering practices.

Responsibilities: -

Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions.
Build, train, evaluate, and deploy machine learning and data science models for production use.
Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
Build scalable AI/ML and GenAI deployment architectures using AWS services.
Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
Collaborate with cross functional teams to translate business and analytical requirements into technical solutions.
Implement CI/CD pipelines, monitoring, logging, and performance optimization.
Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Strong Min 8 10 years of overall software engineering experience.
Strong proficiency in Python for backend systems, data processing, and ML workflows.
Hands on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
Experience with ML frameworks such as Scikit learn, PyTorch, TensorFlow, or similar.
Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
Hands on experience with Terraform for infrastructure provisioning and environment management.
Experience building cloud native, scalable, and highly available systems.
Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
Familiarity with Docker, Kubernetes, and modern DevOps practices.
Strong problem solving, communication, and collaboration skills

Good-to-Have Skills

Prior experience with clinical, biomedical, or healthcare NLP use cases
Familiarity with healthcare data standards, terminologies, or ontologies
Experience deploying ML/NLP solutions in regulated or production healthcare environments
Knowledge of distributed systems and cloud-native data architectures
Experience with additional data stores, data warehouses, or NoSQL technologies
Strong technical documentation and stakeholder communication skills
Experience working in agile or cross-functional product development teams

VeeRteq Solutions is an Equal Opportunity Employer

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: 91122967
Position Id: 2026-4468
Posted 8 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered in Delaware, USA, with operations in Alberta, Canada under the brand name AddSource.

We specialize in connecting top-tier talent with leading organizations across diverse industry sectors.

With a strong commitment to excellence, our mission is to deliver innovative, customized staffing solutions that empower clients to achieve their goals while helping candidates advance their careers.

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

No location provided

•

Today

Role: Sr Healthcare Consultant - I_Healthcare Product Owner / Product Management Location: Remote USA As a Product Lead you'll define product strategy, roadmap, and execution for data-driven solutions across Finance, Sales, or Operations. The role partners with business, engineering, and data teams to turn data into insights, improve decision-making, and deliver measurable business value. Duties: Own product strategy, roadmap, and delivery. Work with business stakeholders, data teams, and

Easy Apply

Third Party

Technical Specialist - I_Medical Imaging

No location provided

•

Today

Role: Technical Specialist - I_Medical Imaging Location: - Remote USA ( Willing to travel to client locations as needed) We are seeking a Staff Consultant AI/ML, Medical Imaging with expertise in developing, fine-tuning, validating, and benchmarking AI models for medical imaging applications. The role involves optimizing pre-trained deep learning models for tumor segmentation and risk prediction, developing robust inference pipelines, and conducting rigorous evaluation against clinical ground

Easy Apply

Third Party

Principal Consultant - AI/ML

Sugar Land, Texas

•

Today

Role: Principal Consultant - AI/ML Location - Houston, TX (Hybrid, Needs to be able to travel to Houston every other week) Role Summary As a Senior Consultant (L6), you are an experienced individual contributor who independently drives one or more AI/ML workstreams end-to-end. You own delivery outcomes for your assigned workstream, make key technical decisions, and interface directly with customer technical leads and stakeholders. You mentor L4 (Associate) and L5 (Staff) consultants on the te

Easy Apply

Contract, Third Party

ADDSOURCE

Job Details

Skills

SFCC Demandware
Devops
Amazon Web Services
Amazon Elastic Compute Cloud
Terraform
Nosql
Technical Documentation
Performance Tuning
Kubernetes
communication skills
Machine Learning
DATA SCIENCE
Docker
data Processing
tensorflow
pytorch
Data Warehousing
backend
Data Analytics
Governance
Distributed Systems
Problem solving
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Requirements Analysis
Cloud Services
Product Design
Generative AI
Code Review
Solution Architecture
Prompt Engineering
Model Validation
Safety Principles
Cloud Engineering
Machine Learning Operations
Python (Programming Language)
Software Engineering
Health Care
Data Logging
Clinical Works
Conceptual Models
Cost Optimisation
Infrastructure Automation Frameworks
Industry Practices
Amazon S3
Health Level Seven International
Functional Programming
Scikit Learn
Stakeholder Communications
Feature Engineering
Biomedical Engineering
Project Collaboration
Data Ingestion
Data Stores

SFCC Demandware
Devops
Amazon Web Services
Amazon Elastic Compute Cloud
Terraform
Nosql
Technical Documentation
Performance Tuning
Kubernetes
communication skills
Machine Learning
DATA SCIENCE
Docker
data Processing
tensorflow
pytorch
Data Warehousing
backend
Data Analytics
Governance
Distributed Systems
Problem solving
Data Pipelines
Mentoring
Artificial Intelligence
Software Architecture
Requirements Analysis
Cloud Services
Product Design
Generative AI
Code Review
Solution Architecture
Prompt Engineering
Model Validation
Safety Principles
Cloud Engineering
Machine Learning Operations
Python (Programming Language)
Software Engineering
Health Care
Data Logging
Clinical Works
Conceptual Models
Cost Optimisation
Infrastructure Automation Frameworks
Industry Practices
Amazon S3
Health Level Seven International
Functional Programming
Scikit Learn
Stakeholder Communications
Feature Engineering
Biomedical Engineering
Project Collaboration
Data Ingestion
Data Stores

Summary

Role: Data Science/MLOps Engineer

Experience: - Min 8+ Years

Location: - Chicago, IL

Responsibilities: -

Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions.
Build, train, evaluate, and deploy machine learning and data science models for production use.
Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
Build scalable AI/ML and GenAI deployment architectures using AWS services.
Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
Collaborate with cross functional teams to translate business and analytical requirements into technical solutions.
Implement CI/CD pipelines, monitoring, logging, and performance optimization.
Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Strong Min 8 10 years of overall software engineering experience.
Strong proficiency in Python for backend systems, data processing, and ML workflows.
Hands on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
Experience with ML frameworks such as Scikit learn, PyTorch, TensorFlow, or similar.
Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
Hands on experience with Terraform for infrastructure provisioning and environment management.
Experience building cloud native, scalable, and highly available systems.
Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
Familiarity with Docker, Kubernetes, and modern DevOps practices.
Strong problem solving, communication, and collaboration skills

Good-to-Have Skills

Prior experience with clinical, biomedical, or healthcare NLP use cases
Familiarity with healthcare data standards, terminologies, or ontologies
Experience deploying ML/NLP solutions in regulated or production healthcare environments
Knowledge of distributed systems and cloud-native data architectures
Experience with additional data stores, data warehouses, or NoSQL technologies
Strong technical documentation and stakeholder communication skills
Experience working in agile or cross-functional product development teams

VeeRteq Solutions is an Equal Opportunity Employer

Dice Id: 91122967
Position Id: 2026-4468
Posted 8 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered in Delaware, USA, with operations in Alberta, Canada under the brand name AddSource.

We specialize in connecting top-tier talent with leading organizations across diverse industry sectors.

With a strong commitment to excellence, our mission is to deliver innovative, customized staffing solutions that empower clients to achieve their goals while helping candidates advance their careers.

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

No location provided

•

Today

Easy Apply

Third Party

Technical Specialist - I_Medical Imaging

No location provided

•

Today

Easy Apply

Third Party

Principal Consultant - AI/ML

Sugar Land, Texas

•

Today

Easy Apply

Contract, Third Party

Data Science/MLOps Engineer

Skills

Summary

Dice Job Match Score™

Similar Jobs

Data Science/MLOps Engineer

ADDSOURCE

Job Details

Skills

Summary

Company Info

About ADDSOURCE

Dice Job Match Score™

Similar Jobs