| Lead ML Engineer at Austin, Texas, USA |
| Email: [email protected] |
| From: saisekhar, mavinsys [email protected] Reply to: [email protected] Title: Lead ML Engineer Location: Austin TX or San Jose CA (Hybrid) Client: PayPal Job Description: We are seeking a talented Technical Lead to drive development and adoption of AI Solutions. In this role you will contribute to product roadmap, product design , development and onboaring of users to the platform. Your primary responsibility will be to lead development & adoption of Generative AI solutions that focus on technology improvements such as Technology Assistants & Data Management Efficiencies. Responsibilities: - Collaborate with cross-functional teams such as Data Scientists, Core Development Team and Partner Team Developers to identify requirements and orchestrate development work across team(s) by contributing to design, development and testing. - Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. - Assit for Product Roadmap creation & define product requirements. - Assist for adoption and promption of the platform such as conducting open office hours, white-gloving team(s)onboarding etc - Write clean, high-performance, high-quality, maintainable code. - Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. - Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Requirements: - A Master's or Ph.D. degree in Computer Science or a related field. - Proven experience working for a startup or Product leading development and adoption of the product or a platform. - Strong proficiency in programming languages such as Java, Python, ML Platorms, LLMs, Machine Learning etc - Experience in development of technical product or platform for large enterprises. - Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. - Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have ) - Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders. - Proven ability to adapt and learn new technologies and frameworks quickly. - A proactive mindset with a passion for continuous learning and research. Keywords: artificial intelligence machine learning database California Texas Lead ML Engineer [email protected] |
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| Tue Jun 18 23:47:00 UTC 2024 |