Senior Field AI Engineer - Canada (Remote)

Fiddler is seeking a Senior Field AI Engineer to act as a trusted advisor to customers, build relationships with technical stakeholders, and drive the adoption of their AI Observability platform.

Requirements

• Masters with no experience or Bachelors in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent, and 7+ years of experience
• 2+ years of real-world experience working with ML models in production
• Familiarity with Kubernetes in the public Cloud environments (AWS, Azure, GCP)
• Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler's product
• Working knowledge of tools used for structured and unstructured data, messaging, and workflow tools at scale. Tools like Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, Argo
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Understanding of ML/DS concepts, model evaluation strategies, and lifecycle (feature generation, model training, model deployment, batch and real-time scoring via REST APIs), and engineering considerations
• Understanding of Generative AI, Large Language Models, and related concepts like agents, RAG, etc.
• Strong coding skills, preferably in Python
• Experience with large-scale industrial applications of deep learning in domains like Computer Vision, NLP, and/or Speech-to-Text, a plus
• Excellent organizational, communication, writing, and interpersonal skills
• Curiosity, ownership, empathy towards customers, willingness to learn new things, and desire to inspire others are values we care

Benefits

• Fiddler is proud to be an equal opportunity employer.
• We celebrate diversity and are committed to creating an inclusive environment for all employees.