Artificial Intelligence Consultant

NLB Services; Dearborn (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology solutions firm in Dearborn is looking for a professional with extensive experience in Machine Learning and AI, particularly in Large Language Models. The candidate should have strong programming skills in Python and be proficient in deploying applications using Docker and Google Cloud Platform. Responsibilities include research and development of AI techniques, analyzing large datasets, and integrating AI solutions across various platforms. This role demands strong analytical and communication skills, with the ability to work independently in a fast-paced environment.

Qualifications

• 3+ years of professional experience in Machine Learning and AI.
• Strong expertise in Python and AI/ML libraries.
• Hands-on experience with FastAPI for building APIs.
• Strong experience with Google Cloud Platform (GCP).
• Proven experience analyzing large natural language data.
• Experience with application containerization using Docker.
• Good experience deploying production-grade applications.

Responsibilities

• Research, develop, and implement techniques in Large Language Models.
• Analyze and process large amounts of natural language data.
• Deploy open-source LLMs for production use cases.
• Collaborate with teams to integrate AI solutions.
• Deploy scalable and reliable web applications.

Skills

Python

Natural Language Processing

Docker

FastAPI

Google Cloud Platform

Scikit-learn

PyTorch

Transformers

RabbitMQ

Celery

Job description

Responsibilities

Research, develop, and implement state‑of‑the‑art techniques in Large Language Models (LLMs) and Generative AI. Analyze and process large amounts of natural language data to build robust AI solutions. Perform exploratory data analysis to identify patterns, trends, and relationships within complex datasets. Deploy and serve open‑source LLMs using vLLM for production use cases. Stay current with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to enhance existing models and methodologies. Collaborate with cross‑functional teams to design and execute projects that leverage LLMs for various applications, including text generation, summarization, translation, and more. Work closely with automation and product teams to integrate AI solutions into their applications and platforms. Apply statistical techniques and data visualization methods to effectively communicate findings to stakeholders. Deploy production‑grade web applications with focus on scalability and reliability. Containerize applications using Docker and deploy on Google Cloud Platform (GCP).

Work with message queuing systems and distributed task processing frameworks.

Qualifications & Experience

• Experience: 3+ years of professional experience in Machine Learning and AI.
• Programming: Strong expertise in Python, including proficiency with AI/ML libraries such as Scikit‑learn, PyTorch and Transformers.
• Web Frameworks: Hands‑on experience with FastAPI for building and deploying APIs.
• Cloud Platform: Strong experience with Google Cloud Platform (GCP) including deployment, management, and optimization of cloud‑based applications.
• NLP & Data: Proven experience analyzing and processing large amounts of natural language data.
• Containerization: Hands‑on experience with Docker for application containerization.
• Production Systems: Good experience deploying production‑grade web applications with exposure to RabbitMQ and Celery.
• Work Style: Ability to work independently in a fast‑paced environment across multiple time zones.
• Communication: Strong analytical and communication skills with ability to present findings to technical and non-technical stakeholders.