Data & AI Presales Architect: Azure ML & Analytics
HSO
New York (NY)
On-site
USD 150,000 - 210,000
Full time
14 days+
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Benefits offered by this job
Competitive pay with performance-based bonus
Unlimited paid time off
Medical, dental, and vision coverage
401(k) plan with company match
Job summary
A technology solutions provider is seeking a Data and AI Presales Technical Solution Architect in New York. This role focuses on designing and demonstrating data solutions, engaging with clients to understand their challenges, and building strong relationships. The position requires proficiency in Microsoft Azure and excellent communication skills. This opportunity offers competitive compensation, unlimited paid time off, and a flexible benefits program, creating an energetic work environment.
Qualifications
5+ years of experience in Data Science, AI, Machine Learning, or consulting.
Strong understanding of AI frameworks.
Good handle around LLMs, GenAI and Conventional AI models.
Responsibilities
Understand customer challenges around Data & AI.
Design solutions meeting business and IT needs.
Conduct assessments and Discovery Workshops.
Create analytics roadmaps and drive Proof of Concepts.
Provide technical consultancy to customers.
Skills
Proficiency with Microsoft Azure
Strong problem-solving skills
Excellent communication skills
Ability to work collaboratively
Understanding of AI technologies
Knowledge of database concepts
Education
Bachelor's Degree in Computer Science or related field
Tools
Azure ML
Cognitive Services
Spark
Data Lake
Microsoft Fabric
Job description
A technology solutions provider is seeking a Data and AI Presales Technical Solution Architect in New York. This role focuses on designing and demonstrating data solutions, engaging with clients to understand their challenges, and building strong relationships. The position requires proficiency in Microsoft Azure and excellent communication skills. This opportunity offers competitive compensation, unlimited paid time off, and a flexible benefits program, creating an energetic work environment.