AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Google Cloud Machine Learning Services
Good to have skills : GCP Dataflow, Google Dataproc, Google Pub/Sub
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:  As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:  - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills:  - Must To Have Skills: CCAI hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:  - The candidate should have a minimum of 2 -3 years of experience in Google Cloud Machine Learning Services and overall experience 3+ years - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.15 years full time education

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