Ai Engineer For Watsonx Orchestrate
7 days ago
Introduction Our mission is to revolutionize customer service by developing and deploying the latest conversational artificial intelligence (AI), natural language processing (NLP), and speech technologies in IBM's industry-leading chatbot platform Watson Assistant.
We are proud of the state-of-the-art, scalable, and performant machine learning-based system we have built, and we are now significantly expanding our team
Your role and responsibilities Being an AI Engineer involves creating learning systems that enable humans and machines to perform better.
These systems are designed to create new partnerships between people and machines to augment and scale human expertise in every industry, from healthcare to financial services to education.
What You'll Do: Create and maintain machine learning models.Work in an Agile, collaborative environment to understand and develop solutions for requirements.
You'll be involved in designing, coding, and testing innovative applications in areas such as machine learning, Natural Language Processing (NLP), dialogue patterns, extraction, classification, and reinforcement learning with exploration.Collaborate with research teams to adopt the latest technologies in AI and ML.Deploy and maintain conversational AI microservices.Required technical and professional expertise Professional experience using Java to deliver AI-based applications into production environments.Professional experience in Machine Learning frameworks such as TensorFlow, PyTorch, MXNet, scikit-learn, or similar frameworks.Applied knowledge in LLMs.Experience running AI-based application experiments and making changes.Preferred technical and professional experience Experience working on AI and/or ML projects & deploying into production.Ability to develop and debug nondeterministic, adaptive systems.Experience with multi-modal LLMs.Experience with product-grade decoder, training speech-to-text models, and applied ML algorithms is a plus.Experience with Voice/Protocols SIP/RTP is a plus.
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