AI and Machine Learning Architect
2 weeks ago
Greeting from TCSWe are hiringRole: AI/ML ArchitectExperience: 10 years to15 yearsLocation: HyderabadJob descriptionAreas of Focus: Slackbots, Anomaly Detection, EventCorrelation, AIOPS for Infra, Smart AnswersRoles & Responsibilities :- - Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery - Lead the design and development of virtual assistants using Conversational AI platforms - Leads efforts to foster innovative ideas for developing high impact solutions. - Helps in design and develop advanced analytic solutions across unctional areas as per requirement/opportunities. - Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML. - Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage. - Support and advise teams on best practices regarding LLM usage andGenAI technologies. Specifically geared towards NLP use cases. - Lead complex and technically challenging projects from concept to completion - Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction - Understand the requirements and design the conversational flows. - Develop Intent and Entities for chatbot.Preferred Profile :-8-10 years of experience in implementing AI/ML models in enterprise systemsIn-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models.Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.)At least 5 years of relevant experience in design, development, and deployment of conversational botsExperience working with Observability tools like Prometheus,Splunk,Datadog & Grafana.2-5 years of experience of DevOps SRE. - Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI - Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. - Experience with web services integration - Excellent troubleshooting and analytical skills in a complex, distributed environment. - Excellent communication, presentation and collaboration skills. - Self-starter with ability to work independently
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Machine Learning Advisor
1 week ago
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1 week ago
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AI and Machine Learning Practice Director
1 week ago
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