Design, develop, and fine-tune generative AI models for various applications.
Develop and implement prompt engineering techniques to optimize AI outputs.
Deploy and manage ML models on cloud platforms, ensuring scalability and performance.
Collaborate with data engineers and product teams to integrate AI solutions into production environments.
Lead and mentor a team of junior ML engineers, providing guidance on best practices.
Break down high-level tasks into detailed, executable plans.
Utilize Python and data structures to create efficient algorithms and processes.
Work with both SQL and No-SQL databases to manage and retrieve data.
Continuously monitor and improve the performance of deployed models.
Job Specification
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2+ years of experience in machine learning, with a focus on generative AI and fine-tuning.
Proficiency in Python and deep understanding of data structures and algorithms.
Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying ML models.
Strong knowledge of SQL and No-SQL databases.
Proven ability to lead and mentor a team of engineers.
Excellent problem-solving skills with the ability to break down complex tasks.
Strong communication skills to collaborate effectively with cross-functional teams.
Software Company
Innovative, efficient and optimized innovations to pioneer cutting-edge solutions customized to adapt the needs of the client. We thrive to bring world-class technological reforms to existing processes to ensure efficiency at optimum costs.