Senior Machine Learning Engineer

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Job Description

As an AI/ML Engineer, you will be responsible for the design, development, and implementation of AI-driven systems while overseeing the integration with Enterprise Data Platform solutions. You will provide technical leadership for the new breed of AI-native products, measure and drive adoption with the engineers, ensuring successful outcomes and value. You would have a unique opportunity to bring innovation and deliver impactful results. The ideal candidate is a strategic thinker, fast learner, adept problem-solver, and full stack Engineer with deep knowledge in how to build AI solutions.

Key Responsibilities:

• Drive the design and architecture of ML system, including prompt generation strategies and integration with Snowflake data warehouses.
• Own the development and optimization of AI solution design and algorithms, ensuring high-quality outputs and scalability.
• Lead the implementation and maintenance of process, automation, and data solutions for data platform and analysis with various tools and libraries.
• Provide technical leadership and guidance to the engineers, 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.
• 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:

• Bachelor's degree in computer science, or related field with a min of 5+ years of experience in building full stack AI applications
• Extensive experience with AI/ML technologies and frameworks, such as GenAI models, ML algorithms, Deep learning understanding
• Deep competence in prompt engineering, fine-tuning, and optimizing LLM performance. Hands-on expertise with leading models such as GPT, Claude, and open-source alternatives.
• Advanced level hands on experience with Py, SQL, thorough working experience with AI and GenAI models and libraries etc.
• Proficiency in Snowflake data warehousing solutions, including data design, performance tuning etc.
• Expertise in SQL programming, with the ability to write complex queries and optimize database performance
• Proven experience as a lead engineer with a strong track record of leading successful AI and data engineering projects
• Strong leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Fast learner with an ability to thrive in a fast-paced, dynamic environment and manage multiple priorities and deadlines effectively

Good to have:

• Familiarity with the ServiceNow platform
• Familiarity with UX frameworks

ServiceNow is an Equal Employment 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.

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For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

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