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30d ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

30d ago Closed

Full time Artificial Intelligence Cloud Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Work on an AI team delivering production-scale computer vision for enterprise applications in Sunnyvale, CA (onsite).

Responsibilities

Design, build, and optimize computer vision solutions for real-world production environments
Create scalable AI inference pipelines using NVIDIA DeepStream
Tune GPU performance to support high-throughput, low-latency computer vision workloads
Develop and deploy distributed computer vision applications across large-scale infrastructure
Design and implement microservices that support AI and computer vision platforms
Collaborate with AI researchers, software engineers, and infrastructure teams to ship production-ready systems
Improve performance, scalability, and reliability across GPU-accelerated environments
Identify and resolve performance bottlenecks by troubleshooting and optimizing inference pipelines

Requirements

Strong experience with computer vision technologies and production deployments
Hands-on NVIDIA DeepStream experience (required)
Strong understanding of GPU optimization and performance tuning
Experience building microservices architecture
Experience with distributed computing systems
Strong programming skills in Python and/or C++
Experience deploying scalable AI applications in production
Excellent problem-solving and performance optimization skills

Technologies

NVIDIA DeepStream, NVIDIA CUDA, TensorRT
Python, C++
OpenCV, GStreamer
Microservices architecture
GPU optimization, NVIDIA SDKs
Kubernetes, Docker
AWS, Azure, GCP, cloud platforms
Machine learning models, deep learning models

Preferred qualifications

Experience with NVIDIA CUDA or TensorRT
Experience with OpenCV, GStreamer, or NVIDIA SDKs
Familiarity with Kubernetes and Docker
Experience with cloud platforms (AWS, Azure, or GCP)
Experience deploying machine learning or deep learning models in production
Knowledge of real-time streaming and edge AI solutions

Required skills (must have)

NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing

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1mo ago

Data Scientist

Noblis Reston, VA

Reston, VA

1mo ago Closed

$121k - $189k/yr Full time Artificial Intelligence Azure Big Data

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

Job Description

Noblis is seeking a Computer Vision (CV) Data Scientist to support national security missions by building, deploying, and maintaining AI/ML models that interpret visual data. This onsite role is based in Reston, VA and works within an environment that combines scientific, engineering, and mission-focused expertise.

You will contribute to model development and evaluation across images, video, and sensor feeds, with responsibilities that include versioning, performance assessment, and identifying security vulnerabilities in deployed solutions. The position requires an active TS/SCI clearance with a current polygraph.

What you’ll do

Partner with the Sponsor to develop AI models enabling computers to interpret and analyze visual data such as images, video, and sensor feeds.
Design, develop, and deploy AI/ML models for capabilities including object detection, data triage, search optimization, inference, facial recognition, behavior detection, automated discovery, and decision support.
Maintain model versioning, evaluate model performance, and identify emerging vulnerabilities to strengthen security and effectiveness.
Identify, evaluate, and integrate cutting-edge research and open-source technologies into mission-focused AI/ML solutions.
Design, develop, train, and optimize machine learning and deep learning models.
Collect, curate, process, and analyze large, complex datasets to support model development.
Research, implement, document, and communicate technical approaches, methodologies, and results.
Leverage high-performance computing resources, including GPU clusters and cloud-based environments, to train and deploy scalable AI/ML solutions.
Collaborate with cross-functional teams to deliver capabilities that support national security missions.

Required qualifications

Active Top Secret/SCI (TS/SCI) clearance with a current polygraph.
Education and experience alignment:
- Bachelor’s degree with 5 years of related experience, or
- Master’s degree with 3 years of related experience, or
- Associate’s degree with 8 years of related experience, or
- High School diploma/GED with 11 years of related experience.
Experience developing and deploying machine learning models, including expertise in areas such as statistical modeling, time-series forecasting, geospatial analytics, or computer vision (CV).

Technologies you may use

Python
PostgreSQL/SQL
Apache Spark
Git
Apache NiFi
Hadoop
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
TensorFlow
PyTorch
OpenCV

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Award programs recognizing employees for exceptional performance and superior demonstration of service standards
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs
Drug-free workplace

Additional information

Minimum experience: 3 years
Salary range: USD 120,700 - 188,725 per year
Posted salary range: USD $120,700.00 - USD $188,725.00 /Yr
Remote/hybrid status is subject to change based on Noblis and/or government requirements
Learn more and find opportunities at careers.noblis.org

Non-discrimination

All qualified applicants receive consideration without regard to protected characteristics under applicable federal, state, or local law.
Reasonable accommodation is available for the application and interview process, and for essential job functions and benefits.
E-Verify and Right to Work

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1mo ago

Senior Data Scientist

Innovaworkforce Juncos, PR

Juncos, PR

1mo ago Closed

$58 - $60/hr Full time Python Senior Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Innovaworkforce is seeking a Senior Data Scientist in Juncos, PR onsite, offering USD 58-60 per hour; requires a Doctorate and a minimum of 2 years of experience.

Responsibilities

Lead and develop data science, machine learning, and AI capabilities across Amgens commercial organization.
Head projects and participate in cross-functional teams to systematically derive insights that deliver substantial business value for Amgen.
Take initiative and work independently with minimal supervision.
Identify business needs, perform SWOT analyses, propose analytical approaches, obtain approvals, and execute end-to-end.
Build high-performance algorithms, prototypes, predictive models, and proofs of concept using Python.
Work with SQL and other database query languages.
Lead, collaborate, and communicate cross-functionally with stakeholders to design methodologies that answer specific business questions.
Present analysis ideas, progress, and results to business partners in a clear and impactful manner.
Create compelling stories in PowerPoint and be proficient with MS Office, especially Excel and PowerPoint.
Ensure compliance with regulatory, security, and privacy requirements related to data assets.

Requirements

Manufacturing support experience, with vial filling experience preferred.
Experience deploying or integrating AI solutions into manufacturing or operational environments.
Knowledge of artificial intelligence, software development, and general computer literacy.
Hands-on experience developing AI/ML models for process or task optimization.
Familiarity with Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
Basic knowledge of statistical analysis using JMP or other statistical software.
Experience generating technical documentation, protocols, reports, and development records.
Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
Strong project management and problem-solving skills.
Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
Quality and compliance oriented mindset with attention to detail.
Computer literacy with proficiency in AI tools and digital technologies.
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
Experience leading projects and end-to-end executions.
Experience with databases including relational, SQL, and Graph.
Programming experience with Python, R, or SAS and familiarity with ML libraries like scikit-learn, MLlib, Keras, TensorFlow, PyTorch, etc.
Ability to write well-abstracted, reusable code in Python, R, or Scala; comfortable navigating a Linux environment.
Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.
Excellent organization and planning skills with the ability to manage many large and complex datasets.
Ability to collaborate with and influence business partners and IS resources to drive analytics end-to-end.
Excellent communication skills to present analysis clearly, precisely, and actionably.
Experience working with large datasets and distributed computing tools (Spark, Hive, etc.).
Passion for learning and staying current with developments in advanced analytics.
Biotech or Pharma experience.

Technologies

Python
TensorFlow
PyTorch
OpenCV
JMP
R
SAS
scikit-learn
MLlib
Keras
Scala
Linux
Spark
Hive
SQL
Graph databases
PowerPoint
Excel

Highly Preferred

Prefer Computer Engineering or Computer Sciences degree
Special courses or certificates in AI models

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