Machine Learning job opportunity in Gurgaon for a professional holding at least 2 years experience in machine learning techniques. You will use your experience in R/Python along with Machine Learning skills to deliver actionable insights from large scale multi structured data sets. Location
- Gurgaon Your Employer
: A leading financial services firm providing retirement and life insurance solutions for protection and long-terms services. Responsibilities:
- Develop Language models and products on textual User Generated Content for conversational QnA use-cases
- Collect and integrate data from various data sources to be used for building the models. This could involve writing crawlers, connecting to databases for extracting data for training algorithms create features supporting hypothesis.
- Training and testing ML/DL algorithms, perform iterative experiments with different techniques and features to discover best performing algorithm.
- Create frameworks to monitor algorithm performance and suggest measures for improvement.
- Perform data analysis from unstructured data to find meaningful and actionable business insights
- Work as a product owner and hold end to end responsibility for NLP based solutions
- 2-3 years of hands on work experience in NLP, AI, Machine Learning, Deep Learning
- BE/BTech, MTech, MSc. in Computer science/Information Technology/ ECE or other quantitative disciplines from tier 1/ tier 2 institutes (IIT, IIIT, NIT, BITS or other premiere institutions)
- Good hands-on experience in NLP and Machine Learning
- Should have developed and deployed NLP based solutions with R/ Python.
- Good understanding of Deep Learning methods for text analytics is highly desired - RNN, LSTM, word2vec.
- Knowledge of Chabot platforms and development and deployment of at least 1 NLP based Chatbot or other AI, machine learning, or NLP technologies
What is in store for you?
- A meritocratic culture with great career progression.
- Fast track career growth.
- Work in a dynamic environment for an established research and analytics brand and their Fortune 500 clients.
Reach us at:
If you think this role will add value to your career, kindly write me an email along with your updated CV on firstname.lastname@example.org
or contact me on 9915103515
for a confidential discussion on the role.