Data Scientist - Bengaluru, India - Winning Edge

Winning Edge

Verified Company

Bengaluru, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Required/Proven experience with the following:

Designing, developing, and researching Machine Learning systems,

models, and schemes through data science and data analytics prototypes.

Understanding of Natural Language Processing (NLP), Natural Language

Understanding (NLU) and Natural Language Generation (NLG)

Develop and implement technical efforts to design, build, and deploy AWS

ML models at the direction of lead architects, including large-scale data
processing, computationally intensive statistical modelling, and advanced
analytics

5+ years of experience in NLP
Familiarity with deep learning, machine learning and NLP/NLG frameworks

(like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and
libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)

Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services
Ability to write robust code in Python, Java and R
Experience optimizing model hyperparameter tuning for speed and cost
Experience with Docker and Kubernetes
Experience with Agile Development.

Key responsibilities include:
Perform cutting edge research and evaluate new NLP and generative AI technologies of pharma centric use-cases.

Collaborate with analytics team members to design, implement and develop enterprise
- level NLP/NLG capabilities, including data engineering, technology platforms, and algorithms.
Evaluate and benchmark the performance of different NLP/NLG systems and provide guidance on metrics and best practices.
Stay current with new technology trends in NLP/NLG.

Basic Qualifications:
Ph.
D. or master's in computer science, Statistics, Computer Engineering, Electrical Engineering, Information Science, Information Engineering or related field
5+ years of experience in NLP
Deep understanding of NLP techniques and systems

Job Types:
Full-time, Regular / Permanent

Salary:
₹1,596, ₹2,052,958.70 per year

Benefits: