Were looking for a technical professional, with proven experience for building secure, scalable artificial intelligence systems as well as data-for-AI solutions. In this role you will develop our cutting-edge AI Data platforms used by world-leading brands.
Responsibilities:
Data Pipelines: Clean, preprocess, and analyze large datasets to ensure high-quality inputs and results.
Deployment & Integration: Help deploy AI agents into production environments and integrate them into existing workflows.
Monitoring & Optimization: Evaluate model performance, test for accuracy, and tweak algorithms for continuous improvement.
Documentation: Maintain clear documentation for AI model architectures, data pipelines, and deployment processes
Scale: Build highly scalable solutions that can leverage large data sets effectively
Responsibilities:
Data Pipelines: Clean, preprocess, and analyze large datasets to ensure high-quality inputs and results.
Deployment & Integration: Help deploy AI agents into production environments and integrate them into existing workflows.
Monitoring & Optimization: Evaluate model performance, test for accuracy, and tweak algorithms for continuous improvement.
Documentation: Maintain clear documentation for AI model architectures, data pipelines, and deployment processes
Scale: Build highly scalable solutions that can leverage large data sets effectively
Requirements:
Bachelors degree in computer science, or a related field
Experience: 3-4 years of hands-on experience in software development, AI, or machine learning
Practical experience with LLM-based systems
Data Handling: Working knowledge of SQL, and data preprocessing techniques.
Programming Languages: Proficiency in Python, .NET is a plus
Work experience in a cloud environment, preferably AWS; CI/CD, containers (Docker/Kubernetes), and monitoring/observability
Independent, self-managing contributor
Solid understanding of SQL and data modeling; familiarity with NoSQL technologies
Problem solver
Excellent organizational skills
Excellent communication and interpersonal skills
Bachelors degree in computer science, or a related field
Experience: 3-4 years of hands-on experience in software development, AI, or machine learning
Practical experience with LLM-based systems
Data Handling: Working knowledge of SQL, and data preprocessing techniques.
Programming Languages: Proficiency in Python, .NET is a plus
Work experience in a cloud environment, preferably AWS; CI/CD, containers (Docker/Kubernetes), and monitoring/observability
Independent, self-managing contributor
Solid understanding of SQL and data modeling; familiarity with NoSQL technologies
Problem solver
Excellent organizational skills
Excellent communication and interpersonal skills
This position is open to all candidates.
