Machine Learning Engineer (LLMs)

Overview

At Sinch, we pioneer the way the world communicates. Our customer communications cloud empowers businesses to reach everyone in world, in seconds or less, through mobile messaging, email, voice and video. We reach every phone on the planet 7 times a year and 8 out of 10 largest US tech companies are our customers. Sinch AI adds a layer of intentional intelligence on top of that, to build smarter, safer conversational experiences, faster.

As a Machine Learning (ML) Engineer, you will play a vital role in building and expanding the core machine learning capabilities of Conversational AI at Sinch. Working as part of a dynamic and cross-functional team, you will have the autonomy to define objectives and goals, taking ownership of the entire product development life cycle – from planning and design to implementation, testing, deployment, monitoring, and maintenance.

You will work on the intersection of the Generative AI team and the Conversational AI team of Sinch. The Conversational AI team is responsible for all conversational experiences in Sinch Chatlayer, Sinch Engage, and Sinch MessageMedia. Here, your focus will be on leveraging Large Language Models (LLMs) and generative AI to both make bot building much easier and bots themselves much more effective, natural and enjoyable. You will evaluate, test, customize, deploy, and integrate the latest LLMs into the platform to create more advanced and intuitive conversational experiences.

Our tech stack: Python, Kubernetes, GCP, AWS, PyTorch, MLFlow, OpenSearch, LangChain, OpenAI LLMs, Gemini LLMs, Open-Source LLMs like LLama

As a Machine Learning Engineer, your responsibilities will include:
• Experimenting with, applying, and benchmarking new algorithms, with a strong emphasis on LLMs and generative AI
• Deploying machine learning code in the cloud
• Proactively exploring new and emerging (generative) AI solutions that can enhance the value delivered to our product and customers
• Contributing your innovative ideas to enable the development of human-like chat and voice bots using the latest advancements in generative AI
• Setting up proof-of-concepts and transforming them into production-ready features
• You are an AI enthusiast who keeps up with the latest trends in AI and ML, and loves to use these new technologies to solve real-world problems
• You have worked with machine learning for at least three years and are familiar with common natural language processing and machine learning concepts such as clustering, embeddings, neural networks,…
• You have put machine learning applications in production before and are familiar with concepts such as unit testing, CI/CD pipelines and monitoring, but also on how you measure the quality of the machine learning solution
• You have built an LLM-based application and are keen to build many more!
• You are proficient in Python
• You are fluent in English

Sinch is a global company composed of people from different countries and cultures. Our benefits adjust regionally to support employees and help them to thrive in every stage of life. We offer valuable benefits and resources, including health and life insurance, a flexible work environment, retirement savings plans, and more.

Our Hiring Process

In Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and equal opportunity. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently works towards identifying the people that best fit each open job, based on Sinch’ s hiring needs and candidates’ career expectations.

We encourage applications from strong candidates with relevant professional backgrounds for this role. Not all applicants will meet all job requirements exactly! Don’t let that stop you from considering Sinch for the next step in your career. We are always open to candidates that could bring new insights and perspectives to Sinch!

Company:

Sinch

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Clustering, Industry, Language Modeling, Natural Language Processing, NLP, Unspecified