AI/ML Engineer

Eximietas Design LLC; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Eximietas Design LLC in San Jose, CA seeks an AI/ML Engineer to develop and deploy LLMs for complex queries. You will implement retrieval, generation, and classification tasks using cutting-edge techniques and foundation-model APIs, while advancing NLP features like TTS and STT.

Heavy emphasis on Python, Pandas, NumPy, Faiss, and HuggingFace libraries; collaboration in a distributed team with strong problem-solving and innovation focus.

Qualifications

• 3-10 years of AI/ML experience deploying operational AI systems.
• Proficiency in Python and libraries like Pandas and NumPy.
• Proven track record deploying NLP/LLM models in production.

Responsibilities

• Develop, fine-tune, and deploy LLMs for operational needs.
• Implement classification, retrieval, and generation tasks using AI/ML techniques.
• Utilize foundation model APIs, RAG, and prompt engineering strategies.
• Experiment with Faiss in large-scale retrieval systems.
• Enhance NLP capabilities including TTS and STT.

Skills

Python

Pandas

NumPy

LLMs

Faiss

NLP

Git

Education

Bachelor’s degree in CS/AI/ML

Tools

Faiss

Hugging Face Transformers

Hydra

Weights & Biases

Git/GitHub

Job description

Job Overview:

At Eximietas we are pioneering the future of artificial intelligence and machine learning with cutting-edge initiatives in large language models and agentic frameworks. We seek a highly skilled and innovative AI/ML Engineer to join our dynamic team. This role is central to our mission, focusing on advanced programming, problem-solving, and the development of robust AI systems that can anticipate and respond to complex queries with high precision.

Responsibilities:

• Develop, fine-tune, and deploy large language models (LLMs) to meet specific operational needs.
• Implement classification, retrieval, and generation tasks using advanced AI/ML techniques.
• Utilize and innovate on top of foundation model APIs, retrieval-augmented generation (RAG), and prompt engineering strategies.
• Conduct efficient nearest-neighbor searches using Faiss in large-scale retrieval systems.
• Enhance and develop NLP functionalities, including but not limited to text-to-speech (TTS) and speech-to-text (STT) applications.
• Manage datasets using the Hugging Face Transformers and Datasets libraries, ensuring robust data handling for training and inference.
• Optimize configuration and experiment tracking with tools such as Hydra and Weights & Biases.
• Maintain and improve code quality, including version control using Git and GitHub.
• Work collaboratively in a team environment to design, develop, and review codebases for AI applications.
• Handle data manipulation tasks proficiently with a strong grasp of libraries such as Pandas and NumPy.
• Operate and manage remote servers for the continuous development and deployment of AI models.

Qualifications:

• 3-10 years of professional experience in AI/ML with a proven record of deploying operational AI systems beyond the proof-of-concept stage.
• Demonstrable experience with Python programming and key libraries (Pandas, NumPy).
• Proven track record in deploying AI/ML models, particularly in NLP and LLMs.
• Expertise in Faiss, Hugging Face Transformers, and other AI-centric libraries.
• Experience with audio and voice manipulation tasks.
• Proficiency in configuration management and experiment trackingtools.
• Strong team collaboration skills, especially in remote and distributed team settings.
• Excellent problem-solving abilities and a knack for innovative solutions in AI.
• Bachelor’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.