Uzaktan pozisyon: AI Engineer

Bu ilanı micro1 yayımladı, aranan pozisyon: AI Engineer. Pozisyon, Bilişim ve yazılım kategorisinde ve tümüyle uzaktan. Şirket adayın yaşadığı yere hiçbir kısıt koymuyor, dolayısıyla yaşadığınız yerden başvurabilirsiniz.

İlanda adı geçen başlıca araçlar: Python, Java, AWS, Kubernetes, Machine Learning. Özgeçmişinizin tam olarak bu becerilere dair somut örnekler göstermesi gerekir.

Şirket ücreti yayımladı: $30 - $90 / saat. İlan, çalışma saatleri konusunda hiçbir koşul koymuyor.

Bu ilan otomatik bir denetimden geçti: yabancı çalışma izni, vize sponsorluğu, belirli bir vatandaşlık ya da adı geçen bir ülkede ikamet isteyen ilanlar listeye girmez.

Job Title: AI Engineer Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities:

* Design, build, and optimize robust machine learning models for production environments.

* Implement and automate end-to-end ML pipelines using CI/CD best practices.

* Leverage AWS services for scalable AI infrastructure and model deployment.

* Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.

* Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.

* Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.

* Document and communicate findings, solution approaches, and technical decisions with clarity and precision.

Required Skills and Qualifications:

* Proven expertise in machine learning algorithms, model development, and deployment.

* Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.

* In-depth experience with CI/CD workflows and automation tools.

* Hands-on expertise with AWS cloud services for ML applications and data pipelines.

* Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.

* Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.

* Demonstrated ability to scope, structure, and solve complex, real-world data challenges.

Preferred Qualifications:

* Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

* Experience working in high-growth or startup environments.

* Strong publication record or contributions to open-source AI projects.

Originally posted on Himalayas