Senior Machine Learning Engineer/Data Scientist
Ann Arbor, MI
Applications have closed
Nexient
Nexient is America’s largest 100% US-based software development consulting firm. We help clients outpace their competition through agile development, digital innovation and product-minded / project to product strategies.Required Skills and Experience:
- Solid understanding of machine learning fundamentals
- Optimization (gradient decent variants, hyperparameter tuning, regularization)
- Experience in a variety of problems and domains, with depth in at least four (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.)
- Expert with traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.)
- Mastery of Deep Learning fundamentals (CNN, RNN, attention/memory, Autoregressive) and extensions (Transformer, LSTM, ResNet, etc.)
- Experience coding with popular frameworks
- Python expertise (data structures, coding patterns) along with common ML, data, math and visualization libraries/platforms
- Can architect large scale machine learning projects, while supporting team and client related activities (documentation, mentoring, planning, etc.)
- Ability to set best practices for modeling/development
- Configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD)
- Loading and saving large data sets and models efficiently
- Customizing models and optimizing performance
- Structuring code to make it modular and deployable (logging and metrics, adhering to common deployment interfaces/hooks)
- Ability to analyze and explain papers/theory and adapt associated models
- NLP specialization (NLU, NLI, QA, BERT, GPT, T5, XLNet, etc.)
- Some MLOps and cloud environment experience (resource configuration, optimization)
- Solid data engineering skills (large scale data processing in batch or stream, security and configuration best practices)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile ANN Autoregressive models Bayesian BERT CI/CD Deep Learning Engineering Git Machine Learning ML models MLOps NLP Python RNN Security Testing UX XLNet
Perks/benefits: Career development Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave
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