Sr AI Engineer - Computer Vision

Sr AI Engineer - Computer Vision

The primary purpose of this role is to develop, enhance and maintain a Computer Vision platform rooted in AI, that supports a wide array of Computer Vision, Machine Learning (ML) models, other sophisticated deep learning (DL) frameworks and large language models (LLMs). The Sr AI Engineer will work on scaling model performance, building essential tools and frameworks, and managing compute and storage resources. This role requires close collaboration with cross-functional teams to identify new opportunities leveraging AI platform capabilities across different domains to accelerate AI-infused product development.

Scales the platform for high performance and integrates new AI capabilities as application programming interfaces to ensure the platform remains adaptable and efficient in hosting a variety of ML models.

Designs, develops, and implements tools and frameworks that support ML experimentation and deployment.

Manages graphics processing unit (GPU) and central processing unit (CPU) resources to optimize the execution of CV, AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness.

Works closely with data scientists to integrate AI - CV models smoothly into platform.

Creates and manages efficient data movement and pipelines for the AI - CV platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI - CV model training and inference.

Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction.

Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs.

Implements security protocols and governance measure for AI-CV platform, ensuring data integrity and compliance with industry standards and best practices.

Required Qualifications:

Bachelor's degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 4 years of experience in ML platform engineering, Computer Vision, data, and MLOps tools, and ML frameworks

4+ years of Python programming language experience

4+ years hands-on experience in Pytorch, tensorflow and building/deploying Computer Vision models

4+ years of experience working with continuous integration/continuous deployment tools

3+ years hands-on experience OpenCV, scikit-image, or PIL for basic image processing

3+ years of experience working with GPU and CPU infrastructure, optimizing ML models for performance

3+ years of experience in microservice architecture, Docker, Kubernetes

3+ years of experience with message brokers such as Kafka or RabbitMQ.

3+ years of experience in MLflow, Kubeflow, or DVC for managing the lifecycle of models

3+ years of experience in defining technical requirements and performing high-level design for complex solutions

Preferred Skills/Education:

Master's degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics

3+ years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI, Spark

Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime.

Nvidia deep learning stacks and model serving frameworks

Familiarity with Prometheus, Grafana, and ELK Stack for monitoring and logging

Familiarity and experience with Torchserve or FastAPI

Experience with real-time or offline video processing pipeline with Deep learning application development

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.