Senior Machine Learning Engineer Data Platform
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As Data Platform - Senior MLE 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:
- 5 years of total experience with Bachelors degree in Computer Science Engineering or related field
- Extensive experience with AI/ML technologies and frameworks such as Agentic AI MCP LLMs ML algorithms Deep learning understanding
- Advanced level hands on experience with Py Snowflake thorough working experience with AI and GenAI models and libraries
- Stay abreast and ability to apply the latest developments in Agentic AI and LLM ecosystem with the tools and tech
- Expertise in SQL programming with the ability to write complex queries and optimize database performance
- Proficiency in Snowflake data warehousing solutions including data design performance optimization etc
- Proven experience as a technical lead 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.
- Strategic thinking and problem-solving abilities with a keen attention to detail and quality.
- Ability to thrive in a fast-paced dynamic environment and manage multiple priorities and deadlines effectively
Additional Information :
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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From Fortune. 2022 Fortune Media IP Limited All rights reserved. Used under license.
Fortune and Fortune Media IP Limited are not affiliated with and do not endorse products or services of ServiceNow.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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