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AI/ML Engineer-Generative AI

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Responsibilities Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG). Implement scalable machine learning models and algorithms to solve complex challenges. Research and integrate the latest AI tools and frameworks into existing systems. Stay up-to-date with advancements in AI/ML research and apply them to practical problems. Experiment with and implement Generative AI technologies across multiple domains. Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments. Utilize open-source large language models (LLMs) such as LLama3 in AI application development. Key Skills Strong understanding of Agentic AI concepts and applications. Hands-on experience with Retrieval-Augmented Generation (RAG) models. Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with Large language models (e.g., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems. Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index. Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure). Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Experience with model optimization, fine-tuning, and inference strategies to improve system performance. Preferred Skills Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Background in computer vision and image generation techniques. If you're passionate about AI/ML and excited about contributing to the future of intelligent systems with Generative AI technologies, we encourage you to apply! Join us in shaping the next generation of AI-driven innovation. Show more Show less

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In Time Tec
In Time Tec

Information Technology

Tucson

51-200 Employees

40 Jobs

    Key People

  • Vijay R. Prakash

    Chief Executive Officer
  • David Weintraub

    Vice President of Operations

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