12 часов назад
Senior Associate AI Engineer (GenAI)
9 680 - 11 280$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate AI Engineer (GenAI/MLOps): Designing and deploying ML and Generative AI pipelines with an accent on RAG and orchestration workflows. Focus on productionization of AI/ML models and implementing scalable cloud-native AI systems.
Location: Remote (US). Must work EST or CST hours.
Salary: $60.50 – $70.50 / Hr
Company
A professional staffing and consulting firm providing specialized IT talent and delivery services.
What you will do
- Design, build, and deploy ML and Generative AI pipelines from development through production.
- Implement RAG (Retrieval-Augmented Generation) solutions to enhance AI-driven applications.
- Develop and integrate APIs and orchestration workflows to support scalable AI systems.
- Drive end-to-end productionization of AI/ML models, ensuring reliability and scalability.
- Partner with cross-functional engineering and product teams to operationalize AI use cases.
- Optimize model performance and lifecycle management within cloud-native environments.
Requirements
- Strong hands-on experience in AI/ML engineering and deploying models in production.
- Proven experience with Generative AI frameworks and RAG architectures.
- Expertise in MLOps practices, including model deployment, monitoring, and CI/CD.
- Strong experience with AWS services such as SageMaker, Lambda, S3, and ECS/EKS.
- Proficiency in Python and ML libraries like PyTorch, TensorFlow, or LangChain.
- Ability to work according to EST or CST time zones.
Nice to have
- Familiarity with Docker and Kubernetes.
- Experience with workflow orchestrators like Airflow or AWS Step Functions.
- Experience with data pipelines and distributed systems.
Culture & Benefits
- Fully remote work arrangement.
- Potential for conversion to full-time employment.
- Full-time consultants receive medical, dental, and vision insurance.
- Access to 401K contributions, PTO, and sick leave for permanent staff.
Hiring process
- 1 to 2 internal video interviews.
- 1 final client interview round.
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