Netomi Hiring Drive 2024: Netomi Hiring Drive 2024 for its Data Scientist – I. Netomi Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, or another quantitative field. if you are interested, please apply as soon as possible.
Company Name: Netomi
Role: Data Scientist – I
Location: Gurugram
Experience: 1+ years
Qualification: Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, or another quantitative field.
Batch: Any
Job Type: Full Time
Salary: 12.6 to 20.7 LPA (Expected)
Netomi Hiring Drive 2024
Job Description:
- Do you believe in the missions of intelligence agencies? Are you interested in building state-of-the-art NLP models and solving complex technical challenges?
- Do you want to be a part of our journey in shaping the future of Automated Customer Service?
- If you are interested in working on some of the most challenging technical and programmatic issues, we would love to discuss with you the exciting work and career opportunities at Netomi.
- As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
Requirements:
- Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field.
- 1+ years of work experience related to statistical analysis, machine learning models and programming.
- Self-motivated and driven to satisfy intellectual curiosity through the pursuit of learning and development of new skills.
- Experience working with a wide variety of statistical models such as linear/logistic regression, clustering, classification, support vector machines (SVM) neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some.
- Knowledge of Natural Language Processing (NLP) techniques (POS Tagging, NER, Semantic Role Labelling etc.) and good working experience with at least one of the frameworks (e.g. Stanford NLP, Apache OpenNLP, Mallet, Ling pipe, NLTK).
- Deep knowledge and experience in Information Extraction ( structured and unstructured data), Knowledge Information Retrieval and Knowledge Representation.
- It would be good to have if the candidate has knowledge of Deep Learning (ANN, CNN, RBM) and has NLP Deep Learning experience related to Word2Vec, Thought Vectors.
Responsibility:
- Apply knowledge in one or more of the following areas to achieve goals and deliver results
- NLP and Machine learning
- Computer programming (programming languages, computer science, scientific computing)
- Computer analytics architecture (e.g. distributed computing and modern databases)
- Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts.
- Work as a direct contributor and key technical advisor to define the roadmap of projects
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