Data Scientist
Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Company Overview
Group/Division
Job Description/Preferred Qualifications
We are seeking for a Data Scientist/ML Engineer with experience in NLP statistics and Conversational AI. The ideal candidate is adept at using Statistical Modelling Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes.
Responsibilities for Data Scientist/ML Engineer:
- Building endtoend ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.
- Research and devise innovative statistical models/ML models for data analysis
- Develop and maintain RAG (RetrievalAugmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques.
- Use predictive modeling to increase and optimize customer service experience and supply chain optimization.
- Identify patterns in data using statistical modeling develop custom data models and algorithms to apply to data sets.
- Work with business partners throughout the organization to find opportunities for using company data to drive solutions.
- Working with project managers to establish objectives for AI systems.
Minimum Qualifications
Skills and Qualifications:
- Bachelors degree (or equivalent) in computer science statistics applied mathematics or related discipline
- Experience solving problems with Conversational AI in a production environment for a Hightech Manufacturing Industry
- 4 years of experience in Python and ML packages (NumPy Keras Seaborn Scikitlearn).
- Excellent understanding of machine learning techniques and algorithms such as Regression models kNN SVMNB Decision Trees.
- Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow PyTorch.
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Employment Type
Full-Time
