Artificial Intelligence/Machine Learning Engineer - Generative AI

Job Description : Role : AI/ML Engineer - Generative AI We are seeking a skilled and motivated AI/ML Engineer with expertise in Generative AI technologies to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in developing and deploying innovative solutions using generative AI techniques. As an AI/ML Engineer, you will be responsible for building, optimizing, and maintaining AI-driven systems that drive creativity and innovation in various applications. 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., TensorFlow, PyTorch). - Experience with Large language models (e., 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. , Docker, Kubernetes). - Background in computer vision and image generation techniques (ref:hirist.tech)

Location: in, IN

Posted Date: 11/23/2024