Jobs in the United States

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Added 13 mins ago
ND
Senior Data Engineering Support Engineer - Databricks & PySpark
NTT Data Americas, Inc.
Addison, TX
- $55 to $62 USD / hour
Client is seeking a Senior Data Engineering Support Engineer with expert-level proficiency in Databricks and PySpark. In this role, you will be the primary technical anchor for our…
Added 13 mins ago
Senior AI/ML Engineer | Data Science
Kelly Services
Remote, United States
We are seeking a Senior AI/ML Engineer to join a growing AI and machine learning team focused on developing next-generation predictive analytics, intelligent automation, and generative AI…
Added 13 mins ago
Senior Data Engineer (Cloud, Databricks & Advanced Analytics)
Kelly Services
Remote, United States
We are seeking a Senior Data Engineer with a strong software engineering foundation and proven experience designing, building, and deploying modern data solutions. The ideal candidate will…
Added 15 mins ago
Data Engineer 5, Insights Platform
Capital One
Plano, TX
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 16 mins ago
IG
Sr Video Platform Backend Engineer
Insight Global
New York, NY
- From $74 USD / hour
Senior level ability and/or desire to lead small team as hands on engineer
Added 16 mins ago
M
Sr. Data Engineer
ManpowerGroup
Dallas, TX
- $90 to $95 USD / hour
Our client is seeking a Sr. Data Engineer to join their team. As a Sr. Data Engineer, you will be part of the Data Engineering organization supporting cloud migration and production data…
Added 17 mins ago
Management Consultant - Data Engineer
IBM
Austin, TX · Houston, TX · Irving, TX · Dallas, TX
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 23 mins ago
Senior Software Engineer - Access Management
Databricks
Bellevue, WA · San Francisco, CA
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of…
Added 28 mins ago
Security Engineer
Ovative Group, LLC
United States
Ovative Group is seeking a Security Engineer to join our growing Information Security team. Reporting to the Lead Security & Cloud Engineer, this role owns the day-to-day execution of…
Added 29 mins ago
Data Engineer 4 (Manager, IC)-EDT
Capital One
McLean, VA · Richmond, VA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 30 mins ago
Sr. Data Engineer
Exact Sciences Corp
United States
As the Sr. Data Engineer, you’ll have the chance to design, build, and optimize the data pipelines and models of the Enterprise Data Customer Experience (EDCX) team, the data foundation…
Added 30 mins ago
Staff Data Engineer
Exact Sciences Corp
United States
The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data…
Added 31 mins ago
Specialist, Data Engineer - Snowflake and Python
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
The Data Engineer will design, build, and support scalable data pipelines and data products that enable analytics, reporting, operational insights, and AI-driven solutions across Nationwide…
Added 57 mins ago
UG
Lead AI/ML Engineer - OptumHealth- Eden Prairie
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will…
Added 1 hour ago
Data Platform Engineer
Altamira Technology Corporation
Tampa, FL
Position Description: As a Data Engineer in this role, you will collaborate closely with various combatant commands, offering technical guidance for navigating the WDP environment. Your…
Added 1 hour ago
Management Consultant - Data Engineer
IBM
Miami, FL · Naples, FL
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 1 hour ago
Data Engineer
TECO Energy
Tampa, FL
The Data Engineer – PGS is responsible for the creation, maintenance, and support the complex computer database systems and data models. Plan, coordinate, and implement schedule updates to…
Added 1 hour ago
Senior Data & Analytics Solution Sales Executive - Financial Markets
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Senior Data & Analytics Solution Sales Executive - State and Local Government
ServiceNow
Boston, MA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Senior Data & Analytics Solution Sales Executive - Healthcare
ServiceNow
Boston, MA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Databricks Engineer - Data Engineer III
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
As a Data Engineer II on the AI & Engineering team, you will be responsible for...
Added 1 hour ago
AI
Data Engineer - 1668
aKube Inc
Santa Monica, CA
- Up to $92.5 USD / hour
Databricks experience, including Delta Lake and Unity Catalog.
Added 1 hour ago
Staff Data Engineer - Databricks
CVS Health
Work at Home, IL
We are seeking a highly experienced and technically proficient Staff Data Engineer to join our team. This is a senior individual contributor role for a leader who is passionate about…
Added 1 hour ago
C
Data Quality Engineer (Databricks & dbt)
Cognizant
Princeton, NJ
- $70,000 to $117,000 USD / year
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing…
Added 1 hour ago
Management Consultant - Data Engineer
IBM
SOMERVILLE, NJ · JERSEY CITY, NJ
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…

FIS Global

Engineer Sr Lead, Artificial Intelligence / Machine Learning

New York, NY, United States

The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.

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Job details

Pay: The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.
Experience: 4+ years of experience building and deploying machine learning models in production.
Posting language: English
Posted: Nov 4, 2026

Original job description

Position Type :

Full time Type Of Hire :

Experienced (relevant combo of work and education)

Job Description

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

About the Role:

FIS's AI Platform organization builds the models, infrastructure, and practices that help teams across FIS bring AI into production safely and at scale. We are looking for a Software Machine Learning Engineer to build domain-specific foundation and embedding models for financial data. These models learn useful representations from large volumes of financial activity, and many products and teams can reuse them across a range of use cases.

You will work across the full model lifecycle: data preparation, pretraining, fine-tuning, evaluation, and packaging models so other teams can use them. You will work with platform, data, and product engineering teams to turn research into reliable, well-governed models in production.

What You Will Do:

Build and improve deep learning models on large-scale financial data, including sequence modeling, pretraining, and fine-tuning of transformer-based models.
Produce reusable, versioned embeddings and model artifacts that downstream teams can easily use.
Design models that generalize across tasks and datasets, and measure how well they perform on downstream problems.
Work with data and infrastructure engineers on training pipelines, data lineage, and reproducible experiments.
Work with serving engineers to optimize models for efficient, low-latency inference.
Build sound evaluation into the workflow, including time-based testing and imbalanced or delayed labels.
Support product and engineering teams as they integrate models, with clear documentation and interfaces.
Balance model quality against compute cost, and report results in terms of business impact.
Work with risk and governance partners so models are explainable, well documented, and meet regulatory expectations.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
4+ years of experience building and deploying machine learning models in production.
Strong programming skills in Python and experience with modern deep learning tools such as PyTorch.
Hands-on experience pretraining, training, or fine-tuning transformer or other deep learning models on GPUs.
Experience working with large datasets and ML pipelines on cloud platforms (AWS, Azure, or GCP), with tools such as Spark, Snowflake, or Databricks.
Solid ML fundamentals, including representation learning, offline evaluation, handling imbalanced data, and choosing the right metrics.
Good engineering habits: version control, testing, reproducible experiments, and code that others can build on.
Ability to explain technical results clearly to non-technical audiences.
Strong collaboration skills and comfort working across engineering, product, and risk teams.

Preferred Qualifications:

Experience with sequence modeling, self-supervised learning, or embedding models for tabular or event data.
Experience with financial services or payments data.
Experience with distributed training and GPU-accelerated ML frameworks.
Experience with inference optimization (quantization, distillation, batching) or real-time ML systems.
Experience with MLflow, model registries, feature stores, or other MLOps tools.
Experience working in a regulated environment, including model risk management and model documentation.

What Success Looks Like:

High-quality, reusable models that perform well across more than one downstream task.
Reproducible, well-documented models and artifacts that pass internal review.
Models adopted by product teams in production, with measurable improvement over existing approaches.
Strong working relationships across platform, data, product, and risk teams.

Why Join Us? You will help build core AI capabilities at one of the world's largest fintech companies, with work that reaches financial institutions and the people they serve. You will work with experienced ML engineers, platform engineers, and data scientists.

What We Offer you:

At FIS, you can grow your career as far as you want to take it. Here’s what else we offer:

Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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