AI Engineer

Relanto; Fremont (CA); Presencial; USD 175 000 - 350 000; Tempo integral

Resumo da oferta

A leading technology company in California seeks a Mid-Senior level professional to design and deploy AI/ML solutions. Candidates must have 5+ years of experience, expertise in GenAI, and proficiency in Python. The role includes engaging with customers, developing ML architectures, and mentoring engineers. This full-time position offers a salary range of $175,000 - $350,000, depending on experience.

Qualificações

• 5+ years of experience designing AI/ML solutions.
• Expertise in LLMs, LangChain, and Vector DBs.
• Proven experience with ML pipelines in Cloud and On-Prem.

Responsabilidades

• Engage with customers to gather technical requirements.
• Design and architect AI/ML cloud solutions.
• Develop system architecture diagrams for ML systems.

Conhecimentos

AI/ML solution design and deployment

GenAI and Conversational AI

Deep Learning techniques

Data Science and NLP

MLOps/LLMOps

Python proficiency

Cloud-native solution design

Mentoring skills

Ferramentas

PyTorch

TensorFlow

NumPy

Descrição da oferta de emprego

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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