Eudia

10 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

We are seeking an AI-focused engineer to design and deploy secure, enterprise-grade AI/ML solutions for Fortune 500 data. You will work closely with customers in Palo Alto, influence product roadmaps, lead deployments, ensure compliance and CI/CD for AI systems, and provide technical training to clients while collaborating with top legal, risk, and AI professionals.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.
•Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.
•Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps.
•Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
•Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.

Pay and Benefits

Salary: USD 130,000 - 220,000 annually

Key Requirements

•Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
•2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.
•Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.
•Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.

Experience:2-5 yearsEnterprise softwareAILawtech

Education:Master's

Skills:CommunicationInterpersonal skillsCustomer-facingProblem-solvingTeam collaboration

Languages:English

Tech Stack:PythonTensorFlowPyTorchAWSAzureGoogle CloudMLflowCI/CDLLMsRAGs

Company Brief

Eudia

Eudia builds AI-powered recruitment and hiring tools that automate candidate sourcing, engagement, assessment, and interview coordination, helping employers streamline hiring workflows, reduce time-to-hire, and deliver a more efficient candidate experience.

Industry: HR Tech

Website

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Eudia

10 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.
•Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.
•Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps.
•Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
•Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.

Pay and Benefits

Salary: USD 130,000 - 220,000 annually

Key Requirements

•Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
•2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.
•Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.
•Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.

Experience:2-5 yearsEnterprise softwareAILawtech

Education:Master's

Skills:CommunicationInterpersonal skillsCustomer-facingProblem-solvingTeam collaboration

Languages:English

Tech Stack:PythonTensorFlowPyTorchAWSAzureGoogle CloudMLflowCI/CDLLMsRAGs

Company Brief

Eudia

Industry: HR Tech

Website