Sinch is a global leader in the growing market for Communication Platforms as a Service (CPaaS) and mobile customer engagement. We are specialists in allowing businesses to reach everyone on the planet, in seconds or less, through mobile messaging, email, voice, and video. As a Senior Artificial Intelligence (AI) Analyst, you will play a vital role in leading the development and deployment of AI and Data Science solutions, including Large Language Models (LLMs), to drive innovation at Sinch. As a technical reference for a dynamic and cross-functional team, you will collaborate with your team members to design, train, refine, and deploy deep/machine learning models, besides developing unit/integration tests, providing high-quality documentation, and benchmarking state-of-art models. Moreover, you will own the end-to-end process of the entire ML life cycle (MLOps), from defining the technical problem to deploying the solution, monitoring, and maintenance. Finally, you will have to communicate effectively between the business team and the engineering team to gather and implement project requirements, discuss prioritization, solve possible blocks, and showcase your results. You will work on the AI Center of Excellence (CoE) team at Sinch. The AI CoE team is responsible for helping Sinch accelerate and expand company-wide adoption of AI technologies, by consolidating resources, establishing best practices, fostering knowledge-sharing, ensuring ethical and compliant AI practices, and mitigating associated risks. Our tech stack: Python, Docker, Kubernetes, FastAPI, GitLab, GCP, AWS, Databricks, PyTorch, MLFlow, OpenSearch, LangChain, OpenAI LLMs, Gemini LLMs, Open-Source LLMs like LLama. As a Senior Artificial Intelligence Analyst, your responsibilities will include: Experimenting with, applying, and benchmarking new algorithms, with a strong emphasis on NLP tasks (NER, question answering, sentiment analysis, speech recognition, toxicity detection, etc), Generative AI (text-based and multimodal LLMs), and image processing (object recognition, image classification, OCR, etc). Setting up proof-of-concepts and transforming them into production-ready features. Develop and optimize RAG systems to enhance the performance and accuracy of AI models. Deploying ML models in the cloud infrastructure. Work closely with cross-functional teams including business and engineering teams. Participate in code reviews and provide constructive feedback to peers. Communicate technical concepts and project progress effectively to non-technical stakeholders. Contributing your innovative ideas to enable the development of products using the latest advancements in AI. 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 love teaching others and sharing knowledge internally and externally via workshops, summits, conferences, blog posts, etc. You have: Worked with ML for at least three years. A relevant graduate degree and are familiar with common NLP and ML concepts. Put ML applications in production before and are able to deal with different tasks during the whole Machine Learning life cycle (ML model deployment and maintenance, building and using tools for ML monitoring, CI/CD pipeline design, supporting experimentation with ML models). Built an LLM-based application and are keen to build many more! Experience working with clouds (GCP, AWS, and Databricks). Proficiency in Python, embracing good code practices. Familiarity with Docker and Kubernetes. Autonomy within a collaborative environment. Advanced or fluent level of English. Benefits: 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 non-discriminatory. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently work towards identifying the candidates 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! Even if you do not meet all job requirements, 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 ideas and perspectives to Sinch!
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