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Job Description

Typeform is seeking a Senior Machine Learning Engineer to join their Data & Insights team. This role focuses on designing, developing, and deploying scalable machine learning systems that enable Typeform to deliver personalized experiences. The ideal candidate will work with cross-functional teams to implement ML models, build pipelines, and contribute to the innovation of AI-powered products, including leveraging LLMs and generative AI.

Responsibilities include:

  • Building and deploying scalable ML solutions using Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services.
  • Leveraging vector databases and streaming systems to handle large-scale data processing for ML and AI pipelines.
  • Standardizing workflows using MLflow for experiment tracking, model registry, and deployment.
  • Automating and orchestrating complex ML workflows using tools like Airflow.
  • Optimizing infrastructure by designing efficient ML pipelines and leveraging cloud services like AWS.
  • Developing cutting-edge generative AI capabilities and evaluating generative AI applications.
  • Collaborate across teams to align ML initiatives with business objectives.

Requirements:

  • 4+ years of hands-on experience in building and deploying ML models in production environments.
  • Strong proficiency in Python and ML Frameworks such as PyTorch, LangChain, Agents.
  • Experience with AWS Cloud, Kubernetes, ArgoCD, Docker, Terraform, Jenkins and strong understanding of CI/CD pipelines for ML.
  • Experience with monitoring ML models using Datadog and/or OpenSearch.
  • Experience with building ML services using Python web frameworks such as FastAPI or stream processing libraries like Faust.
  • Hands-on expertise with Kafka and vector databases.
  • Experience managing ML lifecycle workflows with MLflow.
  • Deep understanding of LLMs and generative AI, with experience applying them to solve business problems.
  • Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Familiarity with Enterprise RAG Systems, including chunking, reranking techniques, etc.

Typeform Offers:

  • Opportunity to work on cutting-edge machine learning capabilities.
  • Collaboration with cross-functional teams.
  • A Refreshingly different form builder
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