| Sr. GenAI Research Engineer || Remote || India,Offshore at Remote, Remote, USA |
| Email: [email protected] |
| From: jatin parashar, Vyze Inc [email protected] Reply to: [email protected] (Remote, India/Offshore) Job Title: Sr. GenAI Research Engineer Location: Remote (India) Duration: 3 months (Remote, India/Offshore) Job Description: Position: Sr. GenAI Research Engineer Location: Remote (India) Work Hours: Available until at least Noon EST Assignment Length: 3 months minimum, with the possibility of extensionResponsibilities: Develop and execute a forward-thinking strategy for Generative AI (GenAI), focusing on emerging technologies and innovative solutions. Lay out comprehensive roadmaps for GenAI initiatives, ensuring alignment with business goals and technological advancements. Lead the creation of cutting-edge prototypes, exploring new algorithms, techniques, and open-source technologies. Architect and optimize large-scale backend systems, prioritizing performance, scalability, and low latency. Design and implement advanced algorithms, particularly in Retrieval-Augmented Generation (RAG) systems and Agentic workflows. Ensure high standards of code quality by performing code reviews and refactoring to enhance modularity and maintainability. Collaborate with Product Managers, Solution Architects, and engineering teams to translate prototypes into scalable solutions. Mentor junior engineers and foster a culture of innovation. Collaborate with architects to secure design approvals and ensure cohesive system architecture. Create compelling demos to showcase new features and innovations to stakeholders and potential customers. Continuously monitor the latest research papers and publications in the field of GenAI to integrate cutting-edge techniques into projects. Advocate for and implement ethical AI practices, ensuring AI solutions are fair, transparent, and unbiased. Engage with cross-functional teams, including data scientists, software engineers, and domain experts, to drive interdisciplinary projects and innovations. Establish robust monitoring and evaluation frameworks to track AI model performance in production, ensuring they meet accuracy and efficiency standards.Technical Skills: Proficiency in GPT for NLP, AI, ML algorithms for predictive analytics, cloud-to-cloud integrations, and GraphQL. Experience with Generative AI technologies, including RAG systems, Agentic workflows, and open-source frameworks like LangChain and LlamaIndex (Plus). Strong skills in AWS, Azure, GCP, and designing scalable AI architectures. Proven experience in building and optimizing large-scale GenAI systems with a focus on innovation, performance, and scalability. Comprehensive knowledge of Generative Pre-trained Transformers (GPT) for NLP, AI, ML algorithms for predictive analytics, cloud-to-cloud integrations for scalable infrastructure, and GraphQL for efficient data queries and APIs. A track record of developing and launching large-scale deep learning solutions to solve real-world problems. Extensive expertise in Natural Language Processing (NLP), Transformer models, and Generative AI. A strong interest in staying updated on the latest advancements in these fields. Well-versed in related technologies such as machine learning, deep learning, and neural networks. Contributed to the broader technical community through tech talks, publications, or open-source projects. Experience leading teams of engineers in delivering large, multi-functional projects.Requirements: 7+ years of experience in GenAI, Azure, and Application Development/Integration. Proficiency in GPT for NLP, AI, ML algorithms for predictive analytics, cloud-to-cloud integrations, and GraphQL. Experience with Generative AI technologies, including RAG systems, Agentic workflows, or open-source frameworks like LangChain and LlamaIndex (Plus). Strong skills in AWS, Azure, GCP, and designing scalable AI architectures. Proven experience in building and optimizing large-scale GenAI systems with a focus on innovation, performance, and scalability. Comprehensive knowledge of state-of-the-art technologies such as GPT, AI, ML, cloud-to-cloud integrations, and GraphQL. A track record of developing and launching large-scale deep learning solutions to solve real-world problems. Extensive expertise in NLP, Transformer models, and Generative AI, with enthusiasm for exploring the latest advancements. Note: Must have 7+ years of experience with GenAI, Azure, and Application Development/Integration. Keywords: artificial intelligence machine learning Sr. GenAI Research Engineer || Remote || India,Offshore [email protected] |
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| Fri Oct 11 20:28:00 UTC 2024 |