Senior Artificial Intelligence Analyst

3 semanas atrás


São Paulo, São Paulo, Brasil Sinch Ab Tempo inteiro

Sinch is a leading provider of Communication Platforms as a Service (CPaaS). We enable businesses to reach their customers instantly through mobile messaging, email, voice, and video.

We are looking for a skilled Senior Artificial Intelligence Analyst to lead our AI and Data Science initiatives. As a technical expert, you will drive the development and deployment of AI solutions, including Large Language Models (LLMs). Your role will involve collaborating with cross-functional teams, designing, training, and refining deep learning models, as well as developing unit and integration tests. You will be responsible for the entire ML life cycle, from problem definition to deployment, monitoring, and maintenance.

You will work closely with our AI Center of Excellence (CoE) team, which aims to accelerate and expand the adoption of AI technologies across the company. The CoE team consolidates resources, establishes best practices, fosters knowledge-sharing, ensures ethical AI practices, and mitigates associated risks.

Main Responsibilities:

  • Experiment with new algorithms, focusing on NLP tasks (e.g., NER, question answering, sentiment analysis, speech recognition), Generative AI (text-based and multimodal LLMs), and image processing (object recognition, image classification, OCR).
  • Develop and optimize RAG systems to enhance AI model performance and accuracy.
  • Deploy ML models in our cloud infrastructure.
  • Collaborate with business and engineering teams.
  • Participate in code reviews and provide feedback to peers.
  • Communicate technical concepts and project progress to non-technical stakeholders.
  • Contribute innovative ideas to enable product development using the latest AI advancements.
  • Stay up-to-date with the latest trends in AI and ML and apply them to solve real-world problems.
  • Share knowledge through workshops, summits, conferences, blog posts, and other internal and external platforms.

Requirements:

  • At least three years of experience in ML.
  • Holding a relevant graduate degree and familiarity with common NLP and ML concepts.
  • Previous experience with ML model deployment and maintenance, ML monitoring, CI/CD pipeline design, and experimentation with ML models.
  • Experience working with clouds (GCP, AWS, Databricks).
  • Proficiency in Python and good code practices.
  • Familiarity with Docker and Kubernetes.

Benefits: As a global company with a diverse workforce, we offer a range of benefits to support our employees' well-being and success. These include health and life insurance, a flexible work environment, retirement savings plans, and more.



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