
Artificial Intelligence and Machine Learning Professional
Há 4 dias
Join our team to work as a skilled AI and Machine Learning professional in a dynamic, remote environment. We're looking for an expert who can design, develop, and optimize machine learning models using LangChain and Python.
As a key member of our team, you will be responsible for integrating directly into our clients' teams and working alongside their existing designers and engineers on a daily basis. This is a fantastic opportunity to deliver high-quality ML/AI solutions and contribute to the success of our clients.
- Design, develop, and optimize machine learning models using LangChain and Python.
- Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
- Develop and maintain data pipelines for training and model evaluation.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Extensive experience with LLMs, prompt engineering, and AI-powered applications.
- Strong understanding of retrieval-augmented generation (RAG) and vector databases.
- Experience integrating and deploying ML models in production environments.
- Develop and maintain clear documentation on ML workflows, architectures, and best practices.
- Familiarity with cloud platforms (AWS, GCP, Azure) and scalable AI infrastructure.
Our ideal candidate will have 5+ years of professional experience as a Machine Learning Engineer or in a similar role. They will also have advanced English skills and a successful completion of a four-year college degree.
Required Skills and Qualifications- Advanced English skills.
- Successful completion of a four-year college degree.
- 5+ years of professional experience as a Machine Learning Engineer or in a similar role.
- Design, develop, and optimize machine learning models using LangChain and Python.
- Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
- Develop and maintain data pipelines for training and model evaluation.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Extensive experience with LLMs, prompt engineering, and AI-powered applications.
- Strong understanding of retrieval-augmented generation (RAG) and vector databases.
- Experience integrating and deploying ML models in production environments.
- Develop and maintain clear documentation on ML workflows, architectures, and best practices.
- Familiarity with cloud platforms (AWS, GCP, Azure) and scalable AI infrastructure.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities.
- Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills.
- We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences.
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