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Job description
Direct message the job poster from Relanto
Engage with customers to understand problem statements and technical requirements
Design and architect AI/ML cloud solutions
Develop system architecture diagrams and establish best practices for ML systems
Define data architecture and model serving strategies
Skills & Qualifications:
5+ years of experience designing, developing, deploying, and operationalizing AI/ML solutions
Expertise in GenAI and Conversational AI technologies, including LLMs, LangChain, Llama Index, and Vector DBs (e.g., Pinecone, Elasticsearch)
Strong understanding of Deep Learning and Machine Learning techniques such as LLMs, Neural Networks, CNNs, RNNs, LSTM, Transformers, and Time Series Forecasting
Experience in Data Science, NLP, Generative AI, and AI solution architecture
Proficiency in MLOps/LLMOps, with experience in ML pipelines both On-Prem and Cloud (e.g., SageMaker)
Expert-level skills in Python and open-source frameworks such as PyTorch, TensorFlow, NumPy, etc.
Proven experience designing cloud-native solutions using AI services from Azure, AWS, or other cloud platforms
Ability to lead and mentor Data Engineers and ML engineers, guiding them on technical architecture and best practices
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Consulting
Industries
IT Services and IT Consulting
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Worksite address
fremont, CA, 94537, US
Who can apply
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