AI/ML Engineer
Austin, Travis County, Texas, 78716, USA
Listed on 2026-01-12
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
We are looking for a talented AI/ML Engineer to develop and deploy machine learning models that drive business value for our clients. You will work on cutting-edge AI projects across various industries.
Remote / Austin, TX
Full-time
4+ years
$130,000 - $170,000
DepartmentAI & Data Science
TeamAI & Data Science
Reports ToHead of AI
Posted3 days ago
Key Responsibilities- Design and develop machine learning models and algorithms
- Implement MLOps pipelines for model deployment and monitoring
- Work with large datasets to extract insights and patterns
- Collaborate with data scientists on research and development
- Optimize model performance and scalability
- Integrate AI/ML solutions into existing systems
- Stay current with latest AI/ML technologies and frameworks
- Present findings and recommendations to stakeholders
- 4+ years of experience in machine learning engineering
- Strong programming skills in Python, R, or Scala
- Experience with ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
- Knowledge of cloud ML services (AWS Sage Maker, Azure ML, GCP AI)
- Experience with data processing tools (Spark, Pandas, Num Py)
- Understanding of MLOps and model deployment practices
- Strong mathematical and statistical background
- Advanced degree in Computer Science, Statistics, or related field
- Highly competitive salary and equity
- Premium health, dental, and vision coverage
- Fully remote work option
- Learning and development stipend ($3,000/year)
- Conference and training opportunities
- Flexible PTO and sabbatical options
- Top-tier equipment and tools
- Innovation time (20% for personal projects)
At Tech Horizon
Z, we believe in fostering innovation, collaboration, and continuous learning. Our team is passionate about technology and committed to delivering exceptional results.
- • Collaborative and inclusive environment
- • Innovation and continuous learning
- • Work-life balance priority
- • Diverse and talented team
Submit your resume and cover letter
2. Phone Screening
Brief call with our talent team
3. Technical Interview
Technical assessment and discussion
4. Final Interview
Meet with the hiring manager
5. Offer & Onboarding
Join the Tech Horizon
Z team!
Take the next step in your career and become part of a team that's shaping the future of technology.
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