Field AI/ Customer Success Engineer (Remote)

September 6

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Fiddler AI

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Build trust into AI with Fiddler - the pioneer in enterprise Model Performance Management.

Machine Learning • Distributed Systems • Big Data • Explainable AI • MLOps

11 - 50

Description

• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders • Help deliver Fiddler onboarding services for our new customers • You will act as the “Voice of the Customer”; regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team • Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler's product • Ensure technical success for customer onboarding by writing custom code to integrate with their data pipeline using tools like Snowflake, Airflow, MLFlow, S3, Kafka, etc • Develop FIddler platform integration to expedite onboarding with data platforms, workflow tools and ML platform • Spearhead new opportunities in which Fiddler can provide the most value that will drive renewals and expansion

Requirements

• BS/MS in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent • 2+ years of real-world experience working with ML models in production • Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP) • 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 • 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