AI Engineer

Relanto

Fremont (CA)

On-site

USD 175,000 - 350,000

Full time

14 days+

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Job summary

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.

Qualifications

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.

Responsibilities

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

Skills

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

Tools

PyTorch

TensorFlow

NumPy

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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