Key skills
CloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflowAIMachine LearningDeep LearningNLPNatural Language ProcessingAgenticTensorFlowscikit-learnNumPyStatistical AnalysisSaaSCommunication
About this role
Role Overview
- Developing machine learning models using natural language process that will be integrated into automated processes.
- Working alongside experienced engineers to deliver production grade models into a SaaS platform.
- Building and training models, deploying model pipelines, and implementing algorithms to extract insights from unstructured data.
- Troubleshooting and providing technical solutions to resolve issues.
Requirements
- S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
- 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
- Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
- Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
- Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
- Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
- Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
- Experience with SQL, databases, and other data management tools
- Ability to work independently and with team members from different backgrounds
- Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
- Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns
- Software-as-a-service (SaaS) and/or healthcare industry experience
- Familiarity with Cloud Technologies, Docker, and Kubernetes.
- Experience with tools for experiment tracking and model management.
- Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
- Experience with Agentic models and workflows is a plus.
Tech Stack
- Cloud
- Docker
- Kubernetes
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tensorflow
Benefits
- This is a remote/virtual position.
- You must live in the United States of America.
- You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
- Occasional travel to Indianapolis may be required (approximately 2–4 times per year) based on business needs.