Senior Machine Learning Engineer, Workato

• Background in information systems, computer science, engineering, or equivalent industry experience preferred
• At least 5 years of experience as ML engineer or Data Scientist
• Good python programming skills and experience with NLP models
• Experience deploying and running ML services in production
• Good understanding of network protocols and stacks
• Working experience with relational and non-relational databases
• LLMops/MLops experience is a strong plus
• Strong written and oral communication skills in English
• Collaborative team player seeking continuous improvement opportunities
• Adaptability to a dynamic startup environment, proactive with outside-the-box thinking

• We are looking for an exceptional Senior Machine Learning Engineer to join our growing team. In this role, you will be involved in the development of AI products. You will also be responsible for:
• Build, extend and fix AI services using LLMs and custom ML models
• Write well-designed, testable, efficient code in Python
• Improve validation and performance monitoring of ML services
• Contribute to all phases of the development lifecycle
• Participate in designing and implementing solutions
• Evaluate and propose improvements to existing implementations
• Identify bottlenecks and bugs, and devise solutions to these problems
• Provide code reviews

• Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
• Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
• Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
• Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
• Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.

Total funding: $415m

Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.