Intelletec is partnered with a company leveraging a decade of experience in pioneering Machine Learning systems at Google, Uber, and Apple; the founders deeply understand the intrinsic link between data quality and successful ML models.
In the context of prevalent practices such as using Python scripts and Excel sheets for ML data diagnostics, the demand for novel tools in ML development becomes evident. The collaborative effort is dedicated to developing an advanced ML Data Intelligence platform tailored specifically for Unstructured data (NLP, Computer Vision, and Generative AI).
- As an early ML Researcher within the collaborative effort, you will be pivotal in shaping the ML algorithms that empower the platform.
- We're actively searching for an exceptional ML Researcher, someone motivated to conceive data-centric algorithms from scratch, with a particular focus on evaluating Large Language Models and Deep Learning models tailored for Computer Vision use cases.
- A mindset rooted in the ethos of startups, gravitating towards deliberate actions even with minimal guidance.
- A minimum of 2 years of professional experience in Machine Learning research.
- Proficiency in training and evaluating Deep Learning models using frameworks like Pytorch, Tensorflow, Keras, and other pertinent model development frameworks.
- A demonstrated track record of conducting ML research experiments – from defining objectives and pivotal metrics for experiments to curating relevant datasets, and training models, and gauging metric accuracy.
- A solid grounding in Machine Learning Theory and Statistics.
- Proven experience with Python libraries for ML, including but not limited to numpy and pandas.
Additional Valued Attributes
- Familiarity with AWS Sagemaker, Vertex AI, ML Flow.
- Experience working with Generative models and/or Large Language models.
- Engagement with distributed ML training frameworks such as Dask, Ray, etc.