Software Developer Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Developer Specialist (AI/MLOps): Transforming proof-of-concept AI/ML models into scalable, secure production web applications for transportation engineering with an accent on MLOps and cloud-first infrastructure. Focus on building data pipelines, optimizing distributed model training, and integrating NLP and computer vision into enterprise systems.
Location: Hybrid in Austin, TX (USA)
Company
Professional services firm specializing in innovative technologies and advanced technology management since 2004.
What you will do
- Convert prototype AI/ML models (NLP, Computer Vision) into production-ready web applications for engineering workflows.
- Build and manage data pipelines, feature engineering workflows, and feature stores.
- Design and maintain CI/CD pipelines using Docker, Kubernetes, and automation tools like Ansible.
- Deploy and manage AI/ML workloads across cloud environments including AWS, Azure, GCP, and OCI.
- Collaborate with technical and business teams to translate AI capabilities into practical end-user applications.
Requirements
- 8+ years of experience with cloud platforms (AWS, Azure, GCP, or OCI) for ML workloads.
- 8+ years of DevOps experience, including CI/CD pipelines, Docker, and Kubernetes.
- 8+ years working with databases, including PostgreSQL, MySQL, NoSQL, and vector databases.
- 3+ years of production-level Python development.
- Hands-on experience with NLP/LLMs (RAG, fine-tuning) and Computer Vision (PyTorch, TensorFlow, OpenCV).
- Proficiency in MLOps tools such as MLflow, Kubeflow, or Airflow.
Nice to have
- Experience with GIS, spatial data analysis, or digital twin technologies (Unreal Engine).
- Background in transportation, logistics, or smart city domains.
- Familiarity with public sector compliance, data governance, and security standards.
- Experience with mapping/visualization tools like Cesium.
Culture & Benefits
- Competitive salary.
- Flexible work-from-home options.
- Opportunity to work in a cloud-first environment with cutting-edge AI/ML tools.
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