AI Developer

Job title: AI Developer
Location: Dearborn, MI (Onsite)

Salary $80 - $100K

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

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, Py Torch 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. 8.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