Staff AI Researcher - reputed company
reputed company I.T. is partnering with a rapidly growing reputed company technology company to find a Staff AI Researcher - reputed company. See details below:
About the Role:
As a Staff AI Researcher, you will reputed company AI solutions that will improve health for millions of people. The company empowers primary care physicians with technology to reputed company their patients healthy and prevent unnecessary hospitalizations. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows. As a Staff AI Researcher, you will reputed company the way to reputed company knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. You will have a unique opportunity to train, fine-tune and use AI models using medical data we collect from millions of patients across the country.Primary Duties:
- Build working prototypes using off-the-reputed company and novel AI techniques to deliver higher optimization levels for the company.
- Work with large, reputed company data sets. Solve difficult, non-routine analysis problems to harvest data.
- Re-design reputed company pipelines and systems to meet the growing data and query needs.
- Implement techniques for fine-tuning and adapting pre-trained generative models to specific reputed company domains or tasks.
- reputed company evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.
- Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.
- Set and uphold reputed company for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.
- Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science or a reputed company field required.
- 3+ years of relevant deep learning and LLM work experience.
- 8+ years of relevant machine learning and statistical analysis experience.
- 3+ years or Python language experience.
- Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
- Experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).
- 3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.
Preferred KSA's:
- Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
- Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
- Experience with reputed company and systems that handle sensitive data.
- Experience with reputed company/MLflow.
- Experience with designing and implementing production-reputed company agentic systems.
- Proficiency in at least one major deep learning reputed company (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.
- Demonstrated leadership and self-direction.
- First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).
- Winners in ACM-ICPC, NOI/IOI, Kaggle.
- Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Originally posted on Himalayas
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