AI Machine Learning Specialist

NLP PEOPLE; Austin (TX); On-site; USD 120,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k) Retirement Savings Plan with matching

Paid Time Off

Job summary

A technology consulting firm is seeking an AI Machine Learning Specialist in Austin, TX, to develop and optimize machine learning models across various tasks. The role involves collaboration with cross-functional teams to integrate AI solutions and improvement of model performance. Candidates should have strong programming skills, experience with cloud platforms, and a degree in Computer Science or related field. This hybrid position offers competitive pay and extensive benefits including health insurance, 401(k) matching, and paid time off.

Qualifications

• 5+ years of experience as an AI/ML Engineer.
• Proficient in Python and SQL.
• Exceptional knowledge in data processing and model tuning.

Responsibilities

• Develop and optimize machine learning models for various tasks.
• Collaborate with cross-functional teams for AI integration.
• Document findings and share technical insights.

Skills

Programming in Python

Cloud platforms (AWS, Azure, GCP)

Analytical problem-solving

Strong communication skills

Education

Bachelor’s or master’s degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-Learn

Job description

AI Machine Learning Specialist

Cayuse Civil Services, LLC

Austin, TX – Hybrid (3 days remote | Mon & Fri Onsite)

This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles.

Responsibilities

• Develop, test, and optimize machine learning models for various tasks such as classification, regression, clustering, or recommendations.
• Collaborate seamlessly with cross-functional teams to integrate AI solutions that align with our business goals.
• Stay abreast of the latest advancements in AI technologies and methodologies to continuously improve our systems.
• Deploy models into production using APIs, containers (e.g., Docker), or cloud services (AWS, GCP, or Azure).
• Monitor model performance, identify drift, and apply strategies for improvements or retraining to maintain high accuracy.
• Troubleshoot and resolve issues related to AI models effectively and efficiently.
• Document findings and solutions to share improvements and technical insights.
• Implement automated pipelines for continuous integration, delivery, and model retraining (CI/CD).
• Ensure compliance of AI models with industry regulations, addressing biases, and upholding ethical standards.
• Take on additional duties as assigned.

Qualifications

This role requires flexibility and adaptability in accordance with client needs, with qualifications varying based on experience level. Candidates should demonstrate a willingness to evolve with changing responsibilities.

All Levels

• Strong programming skills in languages such as Java, Python, or C# and understanding of software design patterns.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Excellent analytical and problem-solving capabilities for tackling complex technical challenges.
• Strong verbal and written communication skills for effective collaboration.
• Must be able to pass a background check, with additional checks as required by specific projects.

Minimum Skills

• Proficient in programming languages, especially Python and SQL.
• Experienced with open-source machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Exceptional knowledge in data processing, feature engineering, and model tuning.
• Outstanding problem-solving abilities rooted in algorithm optimization.
• Excellent data analysis and organizational skills.
• Strong interpersonal and communication skills, both verbal and written.
• High attention to detail with strong multitasking capabilities.
• Self-motivated and effective in both independent and collaborative work settings.

Desired Qualifications

• Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field.
• Proven experience as an AI/ML Engineer or in a similar role.
• Strong grasp of machine learning algorithms and principles.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Proficient in programming languages like Python, R, or Java.
• Experience in data preprocessing and feature engineering.
• Strong analytical and problem-solving skills.

Our Commitment to You / Overview of Benefits

• Medical, Dental, and Vision Insurance; Wellness Program
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability options
• Basic Life and AD&D Insurance (Company Provided)
• Voluntary Life and AD&D options
• 401(k) Retirement Savings Plan with matching after one year
• Paid Time Off

Reports to: Program Manager

Working Conditions

• Professional office environment, with on-site work at the Austin office.
• Must reside in the Austin area.
• Ability to perform job duties for extended periods, using a computer and other office productivity tools.
• May need to work a flexible schedule including holidays or travel for business purposes.
• Travel costs and related expenses require pre-approval as per State of Texas guidelines.

Other Duties: This job description is intended to provide an overview, and responsibilities may change with or without notice.

Cayuse is an Equal Opportunity Employer. We’re committed to making all employment decisions based on merit and qualifications, ensuring a fair and inclusive hiring process.

Pay Range: USD $120,000.00 – USD $175,000.00 /Yr.

Company

Cayuse Holdings

Language requirements

Not specified in original description.

Specific requirements

Not specified in original description.

Educational level

Not specified in original description.

Level of experience (years)

Senior (5+ years of experience)

Notes: Tagged areas: Classification, Clustering, Data Analysis, Industry, NLP, United States