Keystone.AI is looking to solve business challenges for clients by leveraging AI-driven services, automating and optimizing operational and commercial decision-making through the development and deployment of scalable, robust machine learning solutions.
Requirements
- at least 4 years of experience in software engineering, and system architecture, with demonstrated expertise in developing and building infrastructure for model scaling and pipeline automation.
- Proficient in programming languages such as Python, R, or Java, and has experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Is familiar with cloud computing platforms and distributed computing frameworks
- Has experience implementing econometrics methods including double machine learning, time series analysis, and optimization techniques
- Is experienced with virtualization and cluster management tools, including Docker & Kubernetes
- Has demonstrated the ability to deliver end-to-end ML solutions that has meaningful value to stakeholders
- 2+ years of experience as a Software Engineer with a focus on production systems at scale
Responsibilities
- Collaborating with cross-functional teams to identify business challenges and opportunities for applying machine learning techniques.
- Designing, implementing, and testing machine learning models to extract valuable insights from large and complex datasets
- Conducting thorough data analysis and pre-processing to ensure high-quality input for the models
- Integrating machine learning solutions into existing systems and processes and scaling them for real-world applications
- Contributing to the development of proprietary machine learning models/tools and frameworks
- Continuously improving CI/CD and testing frameworks and methodologies
- Continuously researching and staying updated on the latest advancements in machine learning and AI technologies
Other
- Bachelor’s degree in computer science, Engineering, or a related scientific field
- Strong academic background in Economics/Econometrics
- Strong problem-solving skills with the ability to work both independently and collaboratively in a dynamic environment
- Is an excellent communicator and has strong teamwork skills to collaborate effectively with diverse stakeholders
- As a startup we seek candidates who are versatile, flexible, and eager to learn and share knowledge across a variety of roles and challenges.
