Job description

Role: Sr AI/ML Engineer & Architect Location: San Francisco Bay Area (Hybrid) (locals only) Visas: GC/USC on your W2 Note :: Candidates should have hands-on experience in designing, developing, and architecting real-time Generative AI solutions, including model integration, prompt engineering, and end-to-end system deployment. Job Description: • 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 Technical Leadership & Development: • Guide the team in building Python-based APIs and AI/ML models • Design and implement ML pipeline automation • Establish model deployment and monitoring frameworks • Review technical designs and approve implementation approaches • Drive architectural decision-making and set technical direction 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 Job Type: Contract Pay: $47.99 - $57.80 per hour Schedule: • 8 hour shift • Monday to Friday Ability to Commute: • San Francisco, bay area (Required) Ability to Relocate: • San Francisco, bay area: Relocate before starting work (Required) Work Location: Hybrid remote in San Francisco, bay area

Requirements