AI Engineer - vaga remota

A empresa micro1 está com uma vaga aberta de AI Engineer. A posição fica na área de TI e programação e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

As principais ferramentas citadas no anúncio são: Python, Java, AWS, Kubernetes, Machine Learning. O currículo precisa mostrar exemplos concretos exatamente dessas habilidades.

A empresa publicou a remuneração: $30 - $90 por hora. O anúncio não impõe condição nenhuma de horário.

Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.

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