Search for Senior AI Data Engineer roles in Austin, TX, focusing on positions that involve computer vision and deep learning, with 4+ years of experience, requiring proficiency in Python and an agile environment.

Okay, I can assist you in finding Senior AI Data Engineer roles in Austin, TX, specifically focusing on computer vision and deep learning, requiring 4+ years of experience, proficiency in Python, and working in an agile environment. I found 72 positions that match your criteria.

Senior AI Data Engineer

Austin, TX

Computer Vision

Deep Learning

4 years + Experience

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior AI Data Engineer role fundamentally aims to drive innovation in data engineering and computer vision within the company by leveraging deep learning technologies. The successful candidate will be responsible for designing and implementing scalable data pipelines for image and video data, which are critical for enhancing the company's AI capabilities. This includes ensuring data governance, where they will manage data lineage and its correlation with AI models, a foundational aspect of developing robust machine learning solutions. Solid experience in deploying deep learning models, particularly in tasks like object detection and segmentation, indicates that the candidate will face challenges related to model performance and bias, making the comprehension of data representation essential. Success in this position will involve not just technical prowess, but also leadership in aligning team strategies and influencing technical decisions across multiple teams, reflecting a need for strong communication and collaboration skills. Within the first 6-12 months, expectations may center around the effective integration of AI pipelines with cloud infrastructures, driving data governance best practices, and fostering a culture of innovation to achieve high-quality output in rapidly changing environments.

Company Analysis:

The company operates within a cutting-edge technology space that appears to prioritize innovation and results-driven approaches. Their focus on matching top talent with innovative companies suggests they are not just a recruiter, but rather an enabler of technological advancement, positioning themselves potentially as a leader or disruptor within the talent acquisition and technology sectors. The emphasis on no-risk engagement indicates a strong confidence in their vetted candidate pool and methodologies, offering a unique value proposition to clients. Culturally, the company’s commitment to tenacity, care, and result delivery suggests an environment that values outcomes and persistence, which could translate into a high-performance culture where collaboration and agility are crucial. The Senior AI Data Engineer will likely work within a collaborative team structure, reporting directly to a VP, which suggests opportunities for high visibility and influence on strategic decisions in the organization. This role’s purpose aligns closely with the company’s goal of driving technological innovation, further emphasizing its strategic importance in the growth and scalability of AI capabilities in various industries.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to design and implement a complex data pipeline. What challenges did you face, and how did you overcome them?
Can you describe your experience with deploying deep learning models? What specific tasks did you focus on, and what was the outcome?
How do you prioritize tasks when working on multiple projects with tight deadlines?
Describe a situation where you had to influence a technical decision among a team. What approach did you take and what was the final outcome?
How would you approach designing a robust workflow for model training and validation? What factors would you consider?
What programming languages and frameworks are you most proficient in, and how do you leverage them for computer vision tasks?
Describe your experience with cloud platforms like AWS, Azure, or GCP. What specific services have you utilized for data engineering tasks?
Imagine you are dealing with a model that is underperforming due to data quality issues. How would you diagnose and address the root cause?
Why are you interested in working at this company specifically, and how do you see your skills contributing to our mission?
Given the company's emphasis on innovative talent matching, how do you stay updated with the latest trends in AI and machine learning?
What strategies do you use to ensure effective communication and collaboration with cross-functional teams?
How do you evaluate the quality and reliability of data sets that you are working with?
What is your experience with MLOps practices? How have you implemented CI/CD processes in machine learning workflows?
If you could change one aspect of your last project based on what you’ve learned, what would it be and why?
What questions do you have about the team dynamics and culture at this company, especially in regards to the AI engineering group?

Job Details

Overview Company

Senior AI Data Engineer

Stelvio Group

8 days ago

Highlight

OnsiteFull-time4+ yearsSenior

Summary

Stelvio Group is seeking a Senior AI Data Engineer to join their team in Austin, TX or Frisco, TX. The role involves developing scalable infrastructure for image analysis, deploying deep learning models, and building robust computer vision pipelines.

About the Role

As a Senior AI Data Engineer, you will design and implement data pipelines for image and video data, engage in data governance, and productionize deep learning models for various vision tasks. You will lead the integration of vision AI pipelines with cloud-native infrastructure and edge devices, and develop tools for training, validating, monitoring, and retraining vision models in production. You will also define and influence technical decisions to align strategies with the organization's goals.

About You

Required:

4+ years of experience in AI, ML, or Data Engineering roles with expertise in computer vision.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Proficient in Python and deep learning frameworks like PyTorch, TensorFlow, or ONNX.
Experience training and deploying models for vision tasks using Vision Transformers (ViTs) and/or Convolutional Neural Networks (CNNs).
Experience designing and implementing scalable data pipelines using tools such as Dagster, DuckDB, and ClickHouse.
Strong understanding of MLOps practices including model versioning, CI/CD for ML, and A/B testing.

Preferred:

Experience in designing, developing, and deploying microservices architectures using Kubernetes.
Experience in implementing event-driven architectures using NATS or Kafka.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Proficient in using Terraform for infrastructure-as-code (IaC).

Stelvio Group

Matching talented people with innovative companies across the US. We care, we are tenacious and we deliver results, consistently.

We understand that you can't build a successful company without hiring outstanding technology staff. Stelvio uses AI matching and automation technology combined with some of the top IT recruiters in the US to provide you candidates that fit your exact requirements. This means there's no more mismatches and irrelevant resumes clogging up your hiring pipeline consequently taking up much-needed time and resource.

Talent Pool: we have robust relationships and networks that allow us to provide AAA candidates across Software, Cyber, Data and Technology Leadership specialisms.
Vetted and detailed search: our consultants do not share unqualified resumes.
No Risk: It is completely free to try our services, we only take payment if you hire our candidates, so you get your value up front. -Permanent and Contract offerings are available for those who want to fortify a full-time team, or those who want specialists in to execute on specific projects over a set period of time.

Austin, TX