| ML Engineer:: Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Ekta Chaudhary, Epeople Technologies [email protected] Reply to: [email protected] 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 ML Engineer:: Remote [email protected] |
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| Mon Jun 17 21:47:00 UTC 2024 |