Sr. Machine Learning Engineer

• Build and deploy scalable ML solutions: Design, train, and deploy machine learning models and workflows with a focus on production-readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services. • Build and deploy scalable ML solutions: • Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large-scale, high-dimensional, real-time data processing for ML and AI pipelines. • Leverage vector databases and streaming systems: • Standardize workflows: Use MLflow to manage the end-to-end ML lifecycle, including experiment tracking, model registry, and deployment. • Standardize workflows: • Automate and orchestrate: Use orchestration tools like Airflow to manage complex ML workflows and ensure seamless execution at scale. • Automate and orchestrate: • Optimize infrastructure: Design efficient ML pipelines and leverage cloud services like AWS to ensure reliable, scalable, and cost-effective solutions. • Optimize infrastructure: • Tasks Supporting (alongside Data Scientists): • Develop cutting-edge generative AI capabilities: Apply your expertise in LLMs and generative AI to enhance our products and build new AI features, enabling new and creative ways to interact with AI. • Develop cutting-edge generative AI capabilities: • Evaluate generative AI applications: Help R&D teams assess and refine AI features. Build automated evaluation pipelines for model performance. Develop benchmarks to ensure accuracy, fairness, and reliability. • Evaluate generative AI applications: • Collaborate across teams: Partner with Product, Engineering, Data Engineering, and Analytics teams to align ML initiatives with business objectives and optimize for maximum impact. • Collaborate across teams: • Stay ahead of the curve: Keep up with emerging trends, research advancements, and best practices to drive innovation and enhance our AI capabilities. • Stay ahead of the curve • What you already bring to the table: • 4+ years of hands-on experience in building and deploying ML models in production environments. • Strong proficiency in Python and popular 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 and model deployment best practices. • 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. • Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock. • 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. • Extra awesome: • Extra awesome: • You have experience working in a B2B SaaS company • Experience with orchestration tools (e.g. Airflow) • Familiarity with SQL, Spark, or other data processing frameworks • Knowledge of Snowflake or other cloud data warehouses. • Strong familiarity with agentic frameworks for decision-making systems. • Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. • move as one team • strong bonds • champion our diverse customer base • hold high expectations • We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.