| Gen AI Machine Learning Engineer :: New York (3 days Hybrid and Candidates from NY only) at York, New York, USA |
| Email: [email protected] |
| From: Ekta Chaudhary, Epeople Technologies [email protected] Reply to: [email protected] Job Description: We are seeking a talented Machine Learning Engineer with expertise in Machine Learning and software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop Machine Learning (ML) solutions that focus on technology improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as AI Agents for optimal cloud comptuting, knowledge bots, Assistants etc Responsibilities: Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify oppurtunities for process improvements that can be solved using machine learning and generative AI. Write clean, high-performance, high-quality, maintainable code. Discovering, analyzing, structuring and mining data. Define and build innovate ML and Generative AI systems. Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. 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 and actively contribute to the research and development of new ML & Generative AI Solutions. Requirements: A Master's or Ph.D. degree in Computer Science or a related field. Minimum 8 years of experience in Machine Learning and last 1-2 years in Generative AI solutions. Proven experience working as a Full Stack ML Engineer, with a focus on Machine Learning, ML Engineering and experience in Generative AI Applications such as RAG based AI Agents. Strong proficiency in programming languages such as Machine Learning Algorithms, Python, Hadoop & Spark etc 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 ( Mandatory ) Experience working with various Embedddings /Embedding Models & fine-tuning LLM'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 in the field of Generative AI. Keywords: artificial intelligence machine learning database Gen AI Machine Learning Engineer :: New York (3 days Hybrid and Candidates from NY only) [email protected] |
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| Mon Aug 26 19:46:00 UTC 2024 |