Senior Field AI Engineer - Canada (Remote)

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Requirements

Candidates should possess a Master's degree with no experience or a Bachelor's degree in Computer Science (AI/ML specialization), Statistics, Mathematics, or an equivalent field, coupled with over 7 years of experience. A minimum of 2 years of practical experience working with ML models in production is required, along with familiarity with Kubernetes in public cloud environments (AWS, Azure, GCP). Knowledge of data science concepts, including the development of interpretable machine learning model tools, and working knowledge of large-scale data tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, and Argo are also necessary.

Responsibilities

The Senior Field AI Engineer will serve as a trusted advisor to customers, building relationships with technical stakeholders and collaborating with a Fiddler Delivery Manager on onboarding services. This role involves acting as the "Voice of the Customer," engaging them on status calls, educating them on the product roadmap, managing escalations, and influencing the product roadmap. The engineer will become a product specialist to help customers meet their observability needs, ensure technical success during onboarding by writing custom code for data pipeline integration, and develop platform integrations to expedite onboarding with data platforms, workflow tools, and ML platforms. Additionally, they will spearhead new opportunities to maximize Fiddler's value, driving renewals and expansion.

Skills

MLOps

Data Science

Responsible AI

Algorithmic Bias

Model Monitoring

Model Explainability

Model Analysis

Model Improvement

AI Observability

Fiddler AI

AI observability and model monitoring platform

About Fiddler AI

Fiddler AI offers an AI Observability platform specializing in model monitoring, explainable AI, and analytics, with a focus on deep XAI integration for MLOps systems at scale. The platform provides comprehensive XAI integration for stable and secure MLOps systems at scale.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$65MTotal Funding

SERIES_BCompany Stage

Government & Public Sector, AI & Machine LearningIndustries

51-200Employees

Risks

Competition from tech giants like Google and Microsoft threatens market share.

Rapid AI advancements may outpace Fiddler's platform updates, risking obsolescence.

Over-reliance on venture capital funding poses financial risks if future rounds falter.

Differentiation

Fiddler AI integrates deep XAI and analytics for advanced model capabilities.

It offers a unified environment for MLOps, enhancing trust in AI systems.

Fiddler's platform addresses challenges in building secure MLOps systems at scale.

Upsides

Fiddler's partnership with Google Cloud enhances scalability and customer reach.

Focus on AI safety aligns with industry trends, attracting enterprises seeking responsible AI.

Expansion into finance and healthcare allows tailored solutions for industry-specific needs.

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