AI/ML Engineer (Hybrid)

Other
Other places
$125 K - $155 K

Full Time

Job expired!

Detroit Labs was established in 2011 with a goal of creating digital products, services, and the teams that power them. We develop digital solutions that transform how our clients operate. We cultivate authentic relationships based on respect, trust, and results. We encourage a diverse and inclusive culture that values individuals - providing them with the tools, resources, and support they need to succeed professionally, surpass client expectations, and feel comfortable being themselves at work. We have various client teams we collaborate with, from startups to Fortune 500 companies, meaning there are always new and exciting projects underway.

The Detroit Labs is seeking an experienced AI/ML Engineer for an exciting project with an existing client advancing revolutionary automotive technology. In this role, you will be integral in developing and improving AI-powered solutions. Your main responsibility will include designing, implementing, and optimizing question and answer models that draw valuable insights from large datasets. As a full-time member of our OnSite Business Unit team, we prioritize your individual career growth providing optional check-in support, yearly retrospectives, and access to a variety of learning resources to ensure your continuous growth and achievement of your goals.

This is a full-time salaried hybrid role located in Auburn Hills, MI. You must be able to work in the office at least 2 days a week.

Requirements

5+ years of professional experience in Machine Learning, AI, and Natural Language Processing (NLP)
Hands-on experience with Google Vertex AI, Google BERT, and other Google AI tools for building transformer-based question and answer (Q&A) models is necessary
Experience with training and fine-tuning models, preferably on Google Cloud TPUs
Proficient in loading content, implementing content restrictions, and directing AI systems to provide exact answers to questions while continuously learning from user interactions and responses
Proficiency in programming languages such as Python and relevant machine learning frameworks (TensorFlow, , etc.)
Experience in monitoring and optimizing deployed models, preferably using Google Cloud Monitoring
Experience in developing evaluation metrics and conducting testing to assess model performance
Knowledge of grounding language models in context for coherent and relevant text generation
Strong communication skills to collaborate effectively with cross-functional teams and present complex technical concepts to technical and non-technical stakeholders alike
Problem-solving skills and ability to think creatively for developing innovative AI solutions
Must be able to work in a hybrid model in Auburn Hills up to 2 days per week
Detroit Labs is currently unable to hire candidates who will reside outside of the United States during their employment term.

Responsibilities

Utilize your AI and machine learning expertise to build transformer-based Q&A models using Google BERT, T5, Vertex AI, and other Google AI services
Train and fine-tune models on Google Cloud TPUs for faster experimentation
Use Tensorflow and PyTorch for building deep learning Q&A models
Deploy models on Google Cloud Endpoints, integrate with Android/iOS apps, and optimize using Google Cloud Monitoring
Curate and preprocess datasets for training, configuring, and monitoring to ensure models evolve
Develop evaluation metrics and conduct rigorous testing to assess model performance
Identify opportunities to leverage Google AI services like Language API, Dialogflow, etc.
Work closely with cross-functional teams to ensure data quality/availability and integrate Q&A models
Ground language models in context by developing strategies to maintain coherence and relevance in generated text
Stay updated on Google AI research and new product announcements in Q&A and Natural Language Processing field

Benefits