ML Solutions Engineer @ Arize AI | Jobright.ai
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ML Solutions Engineer jobs in United States
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Arize AI · 3 hours ago

ML Solutions Engineer

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Artificial Intelligence (AI)Information Technology

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Responsibilities

You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
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.
Interface with our pre-sales engineering team to gather client goals and KPI’s.
Spearhead new opportunities in which Arize can provide the most value that will drive renewals and new accounts.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScientistMachine Learning EngineerKubernetesPythonAWSAzureGCPTensorFlowPyTorchScikit-learnModel EvaluationRJavaGoFeature GenerationModel TrainingModel DeploymentREST APIsCustomer Facing Experience

Required

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production.
Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
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
Proficiency in a programming language (Python, R, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts.
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Preferred

Previous engineering experience in Data Science
MLOps
ML Frameworks
Customer facing experience strongly preferred such as Solutions Architect, Onboarding Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles

Benefits

Medical
Dental
Vision
401(k) plan
Unlimited paid time off
Generous parental leave plan
Others for mental and wellness support

Company

Arize AI

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Arize AI offers a platform that explains and troubleshoots production AI.

Funding

Current Stage
Growth Stage
Total Funding
$61.02M
Key Investors
TCVBattery Ventures
2022-09-07Series B· $38M
2021-09-28Series A· $19M
2020-02-12Seed· $4.02M

Leadership Team

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Jason Lopatecki
Founder & CEO
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Company data provided by crunchbase
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