Software Engineer- AI/ML Engineer

What you’ll do

• Development of new features planned for the release using the preferred technology
• Engage in a range of activities daily, including data inspection, model training and evaluation, deployment and testing.
• Unit test Automation of identified test
• Create scalable/generic libraries
• Documenting experiments, code, results, and findings
• Continuously look for ways to optimize the process and testing approaches
• Debugging and fixing failures in production environment

The day-to-day

Addressing challenges related to data, algorithms, and model performance

Debugging and fixing failures in production environment

Development of new features planned for the release using the preferred technology

What you’ll need

• 5+ Years of software development experience with good knowledge of computer science fundamentals
• 2+ Years of experience in applying AI to practical and comprehensive technology solutions
• Experience in the end-to-end development of products integrating Machine Learning and Generative AI capabilities.
• Experience on any of the front-end JavaScript frameworks such as ReactJS, Angular or VueJS
• Experience building RESTful services using frameworks like FastAPI
• Familiarity with cloud platforms like GCP or AWS, containerization, CI/CD and IaC
• Strong verbal and written communication skills are essential, with a specific focus on crafting detailed user documentation. Frequent communication with remote international teams, both spoken and written, will be a core responsibility
• Working with Database technologies in SQL or NoSQL, Query optimization, Fault tolerance
• Broad range of technology interests across different fields including computer and system architecture, web applications, Scalability, performance analysis, distributed systems design, and testing
• Bachelors degree in computer science, computer engineering or electrical engineering or equivalent experience in a technical field

What will help you on the job

Experience working effectively in Agile Scrum teams, including understanding and documenting user stories, and working effectively with product owners and customers.
Experience deploying and handling ML/AI solutions on AWS, GCP, or Azure.