Staff Machine Learning Engineer - Data Platform & Snowflake

Job Description

As Data Platform - AI Tech Lead, you will be responsible for leading the design, development, and implementation of AI-driven systems while overseeing the integration with Snowflake data warehousing solutions. You will provide technical leadership, mentorship, and guidance to the engineering team, ensuring the successful execution of projects and initiatives. The ideal candidate is a strategic thinker, sharp problem-solver, and possesses a deep understanding of AI technologies and ML engineering to build high-performance solutions.

Key Responsibilities

• Lead the design and architecture of AI-driven solutions, including prompt generation strategies and integration with Snowflake data warehouses
• Have end-end ownership on all aspects of the solution, development and optimization of AI solution design and algorithms, ensuring high-quality outputs and scalability
• Lead and implement the end-end solution, keeping maintenance of process, automation, and data solutions for data platform and analysis with various tools and libraries
• Provide technical leadership and solution options from engineering point of view, fostering a culture of innovation, collaboration, and continuous improvement
• Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to define project requirements and deliverables
• Conduct code reviews, performance evaluations, and provide constructive feedback to team members to drive excellence and growth.
• Stay abreast of emerging technologies and industry trends, incorporating best practices and innovative approaches into our technical solutions.
• Worked in the agile dev life cycle and understands best practices for software development and project management.

Qualifications

To be successful in this role you have :

Additional Information

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

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