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Assistant Manager/Senior Analyst - NLP Engineer
Cognitio Analytics LLC's logo

Assistant Manager/Senior Analyst - NLP Engineer

at Cognitio Analytics LLC

DP
Posted by Harsha Yadav
icon
Gurugram
icon
2 - 5 yrs
icon
₹10L - ₹15L / yr
icon
Full time
Skills
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Regular expression
Natural Language Toolkit (NLTK)
Java
  • Demonstrate ability in NLP/ML/DL project solutions and architectures.
  • Strong ability in developing NLP tool and end to end solutions.
  • Minimum 1 year of experience in text cleaning, data wrangling, and text mining.
  • Good understanding of Rule-based, statistical, and probabilistic NLP techniques.
  • Collaborate with analytics team members to design, implement, and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
  • Good knowledge of NLP approaches and concepts like topic modelling, text summarization, semantic modelling, Named Entity recognition, etc.
  • Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
  • Test and deploy promising solutions quickly, managing deadlines and deliverables while applying latest research and techniques.
  • Collaborate with business stakeholders to effectively integrate and communicate analysis findings across NLP solutions.

Key Technical Skills:

  • Hands on experience in building NLP models using different NLP libraries and toolkit like NLTK, Stanford NLP, TextBlob, OCR etc.
  • Strong programming skills in Python
  • Good to have programming skill: Java/Scala/C/C++.
  • Strong problem solving, logical and communication skills.

Tags: Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Toolkit (NLTK), Analytics

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About Cognitio Analytics LLC

Founded
2013
Type
Size
20-100
Stage
Bootstrapped
About

Cognitio Analytics is an award-winning, niche service provider that offers digital transformation solutions powered by AI and machine learning. We help clients realize the full potential of their data assets and the investments made in related technologies, be it analytics and big data platforms, digital technologies or your people. We do so by combining our deep experience and understanding of the following:

a. Domains we work in

b. Data science tool kit, including AI and machine learning and

c. Technology platforms that drive digital business.


Our solutions include Health Analytics powered by Cognitio’s Health Data Factory that drives better care outcomes and higher ROI on care spending. We specialize in providing Data Governance solutions that help effectively use data in a consistent and compliant manner. Additionally, our smart intelligence solutions enable a deeper understanding of operations through the use of data science and advanced solutions like process mining technologies.


We have offices in New Jersey and Connecticut in the USA and in Gurgaon in India.

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Job Description for Data Scientist/ NLP Engineer

Responsibilities for Data Scientist/ NLP Engineer

Work with customers to identify opportunities for leveraging their data to drive business
solutions.
• Develop custom data models and algorithms to apply to data sets.
• Basic data cleaning and annotation for any incoming raw data.
• Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Deployment of ML model in production.
Qualifications for Junior Data Scientist/ NLP Engineer

• BS, MS in Computer Science, Engineering, or related discipline.
• 3+ Years of experience in Data Science/Machine Learning.
• Experience with programming language Python.
• Familiar with at least one database query language, such as SQL
• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,
Search Indexing & Fuzzy Matching.
• Excellent written and verbal communication skills for coordinating acrossteams.
• Willing to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques:
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