Image Processing

Image Processing Data Jobs

2 jobs found

2mo ago

AI/ML Lead Data Engineer - Automation/Image Processing

JPMorganChase Tampa, FL

Tampa, FL

2mo ago Closed

Full time Analytics Artificial Intelligence AWS

This position is no longer accepting applications (closed Jun 9, 2026).

Job Description

The AI/ML Lead Data Engineer focusing on Automation and Image Processing is a senior technical leadership role based onsite in Tampa, FL, within JPMorganChase's Commercial & Investment Bank. The position centers on designing, building, and maintaining scalable data pipelines and architectures for ingesting, processing, and storing scanned document images and OCR outputs, in collaboration with data scientists and ML engineers to support analytics, model training, and production-grade workflows.

Responsibilities

Architect and maintain scalable, high‑performance data pipelines and infrastructure to ingest, process, and store large volumes of scanned document images across enterprise workflows.
Design end‑to‑end data solutions on AWS to enable seamless flow from source systems through OCR processing, model inference, and downstream data extraction and categorization pipelines.
Develop robust image preprocessing and OCR integration pipelines handling TIF and PNG conversions, normalization, resolution enhancement, noise reduction, and batching for downstream computer vision and OCR models.
Build and optimize pipelines that integrate OCR outputs, extracting structured text and metadata and routing them into databases and analytics platforms for further processing.
Design and manage data storage architectures and containerized deployments using Oracle databases and AWS stores (S3, EFS) to catalog, index, and retrieve extracted text, classifications, and metadata from processed images.
Drive containerized deployment practices with AWS EKS to deploy and scale image processing microservices, OCR engines, and data pipeline components with high availability and fault tolerance.
Collaborate with data scientists and ML engineers to ensure training datasets for various models are curated, versioned, labeled, and accessible through well-structured data pipelines.
Evaluate and integrate emerging data technologies to improve pipeline throughput, reduce processing latency for high‑volume document workloads, and optimize cost efficiency.
Establish data quality, lineage, governance, and security frameworks to ensure traceability and integrity of extracted data throughout the processing lifecycle.
Partner with security and compliance teams to ensure scanned document data, including sensitive content, is handled per regulatory requirements, encryption standards, and access controls.
Lead and mentor a team of data engineers, establishing coding standards, peer review processes, CI/CD workflows, and best practices for production‑grade image and document processing pipelines.

Requirements

Formal training or certification in data engineering with 5+ years of applied experience.
Strong proficiency in Java, Groovy, and Python for building data pipelines, image preprocessing workflows, automation scripts, and backend services.
Hands‑on experience with image file handling, especially TIF/PNG processing, multi‑page document splitting, format conversion, and integration with OCR and computer vision pipelines.
Deep experience with AWS cloud services including S3, Lambda, Step Functions, and CloudWatch for scalable data workflows.
Expertise in AWS EKS for deploying and managing containerized image processing, OCR, and data pipeline services using Docker and Kubernetes.
Advanced knowledge of Oracle databases, including PL/SQL, performance tuning, partitioning strategies, and data modeling for large volumes of extracted document data and classifications.
Familiarity with OCR technologies and the ability to structure OCR output for downstream analytics and model training.
Understanding of data requirements for training deep learning models, including dataset preparation, annotation management, and feature store integration.
Experience with CI/CD pipelines (Jenkins) and infrastructure‑as‑code tools (Terraform, CloudFormation) for automated deployment and environment management.
Strong understanding of data governance, data quality, metadata management, and data cataloging, especially in document‑centric and image‑heavy data ecosystems.
Excellent leadership, communication, and stakeholder management skills for guiding technical decisions across cross‑functional teams.

TECHNOLOGIES

Java, Groovy, Python
AWS S3, Lambda, Step Functions, CloudWatch
AWS EKS, Docker, Kubernetes
Oracle Database, PL/SQL, EFS
Jenkins, Terraform, CloudFormation
OCR technologies

BENEFITS

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Commission-based pay
Discretionary incentive compensation (cash and/or forfeitable equity)

PREFERRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

Domain expertise in the healthcare industry

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2mo ago

Senior A/AI Machine Learning Engineer

Lockheed Martin Corporation Herndon, VA

Herndon, VA

2mo ago Closed

Full time Senior Artificial Intelligence AWS

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Education

Bachelor's degree in a STEM field (for example Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or Physics) or an equivalent blend of education, training, and hands-on experience in a related technical area.

Requirements

Bachelor's degree in a STEM field or an equivalent mix of education, training, and relevant work experience in a related technical area.
Proven experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
Experience with modern software development tools and practices.
TS security clearance required to start.
U.S. Citizenship required for security clearance consideration.

Technologies

Python
Java
C++
C#
MATLAB
TensorFlow
PyTorch
Keras
Scikit-learn
AWS
RF image processing
SAR image processing
EO image processing

Benefits

Flexible schedules
Competitive pay
Comprehensive benefits
Paid time off

Security Clearance Statement

This position requires a government security clearance; you must be a US Citizen for consideration.

Clearance Level

TS/SCI

Other Important Information You Should Know

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. If such a match is identified you may be contacted for this and future openings.
Ability to Work Remotely: Onsite Full-time. The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility. Schedules range from standard 40 hours over a five day work week to condensed schedules that provide extra time away from the office, in addition to Paid Time Off benefits.
Schedule for this Position: 9x80 every other Friday off
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5–30 days of the requisition posting date to receive optimal consideration.

Experience Level

Experienced Professional

Business Unit

SPACE

Relocation Available

Possible

Career Area

Artificial Intelligence

Type

Full-Time

Shift

First

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Image Processing Data Jobs

AI/ML Lead Data Engineer - Automation/Image Processing

Senior A/AI Machine Learning Engineer

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