- Experiência
- Qualquer
- Salário
- USD 160,000 – USD 300,000 / year
- Vagas
- 1
- Publicado
- há 3 horas
- Modo de trabalho
- Trabalhe em casa
- Elegibilidade
- Professionals who have the technical skills and qualifications for AI/ML engineering are welcome to apply, regardless of background, prior employment, or experience history.
- Retomar
- Obrigatório candidatar-se
Descrição da vaga
Role overview
This is a full-time remote opportunity for an AI/ML Engineer. The position is for a Member of Technical Staff in AI/ML Engineering, working on behalf of a client. The main focus is to create machine learning solutions that can be taken into production and used to improve business results. You will partner with teams across engineering and product to embed AI capabilities into live systems.
What you will do
- Architect, develop, and refine scalable AI/ML models for practical use cases.
- Build and support end-to-end machine learning workflows, including cleaning data, creating features, and training models.
- Work closely with software engineers to deploy models reliably in production environments.
- Test and validate model outputs carefully to make sure performance and accuracy meet expectations.
- Keep up with new developments in AI and machine learning, and use relevant advances to strengthen existing solutions.
Required background and skills
- Strong Python programming skills, along with hands-on experience using AI/ML frameworks such as TensorFlow or PyTorch.
- Solid understanding of machine learning methods, including both supervised and unsupervised learning.
- Experience working with data analysis and processing tools such as SQL, Pandas, or NumPy.
- Comfort working with cloud environments like AWS, GCP, or Azure for model deployment and management.
- Understanding of software engineering practices, including Git-based version control and CI/CD workflows.
Opportunity details
This position offers exposure to advanced AI work for a technology-focused organization operating in the Technology, Information and Internet space. It is designed for professionals who want to contribute to high-impact projects and continue developing their technical expertise.
Compensation
The stated payout is USD 160,000 to USD 300,000 per year.
Equal opportunity statement
Selection is based on skill and expertise. Candidates are considered without regard to background, prior work history, or experience level, as long as they meet the technical requirements.