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Full Time Computer Vision Deep Learning Engineer Jobs in Saint Hedwig, TX

SWBC

Senior Data Scientist

San Antonio, TX · On-site

Collaborate with Analytics Engineers and Data Management teams to source model training data from ... deep learning, natural language processing (NLP), time series forecasting, or computer vision.

Cymertek

Data Scientist

San Antonio, TX · On-site

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data ... Knowledge of deep learning frameworks * Familiarity with cloud platforms * Experience with A/B ...

Cymertek

Data Scientist

San Antonio, TX · On-site

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... Knowledge of deep learning techniques * Expertise in natural language processing (NLP)

Cymertek

Software Engineer

San Antonio, TX · On-site

You should be comfortable working in dynamic environments, learning new tools and technologies, and ... DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

... Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ... Knowledge of deep learning techniques • Expertise in natural language processing (NLP) • ...

SWBC

AI Engineer

San Antonio, TX · On-site

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. * Minimum of three (3) years of experience developing AI, machine learning, or ...

SWBC

AI Engineer

San Antonio, TX · On-site

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. * Minimum of three (3) years of experience developing AI, machine learning, or ...

Swbc

AI Engineer

San Antonio, TX · On-site

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. * Minimum of three (3) years of experience developing AI, machine learning, or ...

Pwc

AI Solutions Engineering Delivery Lead

San Antonio, TX · On-site

$92K - $121K/yr

As a senior technical leader, you will leverage deep technical specialization, strategic vision ... Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of ...

Cymertek

Analytic Cloud Developer

San Antonio, TX · On-site

$51.25 - $70/hr

... Learning Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

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Showing results 21-40

All JobsComputer Vision Deep Learning Engineer JobsFull Time Computer Vision Deep Learning Engineer JobsFull Time Computer Vision Deep Learning Engineer Jobs in Saint Hedwig, TX

Full Time Computer Vision Deep Learning Engineer information

See Saint Hedwig, TX salary details

$44.2K

$110.7K

$125.3K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time computer vision deep learning engineer in Saint Hedwig, TX is $110,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $119,800.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Saint Hedwig, TX are hiring for Full Time Computer Vision Deep Learning Engineer jobs?

Cities near Saint Hedwig, TX with the most Full Time Computer Vision Deep Learning Engineer job openings:

Full Time Computer Vision Deep Learning Engineer jobs near you

Senior Data Scientist

SWBC

San Antonio, TX • On-site

Full-time

Medical, Retirement

Re-posted 25 days ago

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking a talented individual who will lead the development of our most critical and complex machine learning and AI initiatives. This role is a technical leadership position responsible for setting the strategic direction for data science projects, mentoring the Data Science team, and ensuring our models are scalable, reliable, and directly tied to business outcomes. The Senior Data Scientist will serve as a subject matter expert and strategic partner to business and executive leadership, driving the development and deployment of intelligent solutions across SWBC's enterprise AI/ML platform.
Why you'll love this role:
In this role, you will lead the design and delivery of intelligent solutions that power Clara, SWBC's AI decision assistant, and drive enterprise-wide analytics through forecasting models, segmentation analysis, and context engineering for AI self-service. Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development powering Clara and SWBC Insights.
Essential duties include the following:
  • Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards.
  • Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities.
  • Lead the development and enhancement of Clara, SWBC's AI decision assistant, including context engineering within Omni, model evaluation, and continuous intelligence improvement.
  • Develop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker for internal and client-facing use cases.
  • Build and maintain AI/ML experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, model versioning, and lifecycle management within the platform.
  • Contribute to the platform's Evaluation Harness process, including golden dataset curation, rubric-based scoring, adversarial testing, and model performance benchmarking to ensure solution quality before production deployment.
  • Conduct AI experimentation and prototyping within governed sandbox environments, including Snowflake Sandbox and Hex, while adhering to data privacy, masking, and compliance requirements.
  • Collaborate with Analytics Engineers and Data Management teams to source model training data from governed medallion layers (Bronze → Silver → Gold), ensuring data quality and lineage traceability.
  • Champion Responsible AI practices, including explainability, bias monitoring, fairness metrics, and model auditability in alignment with SWBC's governance framework.
  • Lead model validation, A/B testing, and performance monitoring to ensure models meet business requirements and maintain production-grade reliability.
  • Partner with IT platform engineering teams to provide feedback on platform capabilities, identify gaps, and advocate for enhancements that improve the Data Science team's development and deployment experience.
  • Mentor, coach, and provide technical guidance to the Data Science team, fostering a culture of continuous learning, empirical rigor, and innovation.
  • Publish technical documentation and best practices to advance the team's capabilities and contribute to the organization's knowledge base.

Serious candidates will possess the minimum qualifications:
  • Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Equivalent professional experience (8+ years) may be considered in lieu of an advanced degree.
  • Minimum five (5) years of progressive experience in data science, with a portfolio of deployed models that have driven significant business value.
  • Extensive experience with advanced machine learning techniques, including deep learning, natural language processing (NLP), time series forecasting, or computer vision.
  • Proficiency in Python and strong understanding of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.
  • Hands-on experience developing and deploying models within cloud-based AI/ML platforms, including AWS SageMaker, Bedrock, and S3.
  • Experience with MLOps tools and practices, including MLflow, model registries, CI/CD for ML pipelines, and automated evaluation frameworks.
  • Proficiency in Hex for data science experimentation and prototyping, and familiarity with Omni for analytics and AI context development.
  • Familiarity with Snowflake for data sourcing and analytics within a governed medallion architecture.
  • Strong understanding of data governance, compliance, and responsible AI principles within regulated industries. Financial services or insurance experience preferred.
  • Exceptional communication and leadership skills, with a track record of influencing strategic decisions and presenting complex findings to non-technical stakeholders.
  • Demonstrated ability to work autonomously, manage projects, and make key decisions with minimal guidance.
  • Ability to lift 20 lbs. of files, supplies, documents, or other related items.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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