principle natural language data scientist in hyderabad

randstad india
position type
apply now

hyderabad, telangana
Information Technology
position type
8 To 13
reference number
randstad india
apply now

job description

principle natural language data scientist in hyderabad

?Experience - 8+ yrs
Location - Hyderabad
Role - Machine Learning/Deep Learning Data Scientist
Skills - NLP, C# or Java and Machine Learning
Budget - As per the market Standards

Job Description/Over View
Building AI's that can have natural conversations with humans. We are seeking experienced Applied Scientists and Machine Learning Scientists that can help Pact.AI push the technical envelope in NLP, Computer Vision, and AI by responding conversationally to text, images, audio, and other signals and senses.
Roles & Responsibilities
- Youll be responsible for building advanced systems using the latest machine learning/deep learning techniques, working with huge volumes of data (text and beyond).
- This requires a broad set of skills and a flexible, scientific mindset, as well as a passion for learning.
- You will be responsible for proposing, training, validating, and shipping models from concept to production.
- You will work with engineers, product managers, editorial on a day to day basis. Also expected to collaborate effectively with other product groups, software teams, and researchers at Pactera for obtaining the latest state of the art AI technology for Pact.AI.

?Better career growth

Client Introduction
?We have an opportunity for digital platform based IT firm at Hyderabad.


?natural language, Java /.net, C++, Python, R


- Masters or PhD in CS/EE/Math/Statistics/Physics or related fields with knowledge of Information Retrieval, Data Mining, and Machine Learning.
- 5+ years of experience in machine learning and data analysis. Experience in web domain is a plus.
- 8+ years of experience in software development or applied research domain. Familiarity with C# or Java
- Experience/knowledge with various data analysis tools, data mining tools, and statistical packages.
- Strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real problems.
- Outstanding analytical and problem solving skills.
- Excellent communication and collaboration skills