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Thoucentric

NLP Engineer

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 328d ago

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64Skills
97Experience

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Skills required

39 listed
A/B TestingNamed Entity RecognitionExploratory Data AnalysisText ClassificationSentiment AnalysisHugging FaceRelational DatabasesTopic Modeling+31 more
A/B TestingNamed Entity RecognitionExploratory Data AnalysisText ClassificationSentiment Analysis

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Job description

Job Description: We are looking for an advanced analyst in our India Analytics team who works closely with the Community Voice team. The analyst must have functional expertise in building analytical solutions using unstructured text data and be a trusted partner to business teams and leaders, to provide scalable insights and solutions enabling data driven decisions. This role is a 6-month contract role with an option to get extended and will sit under the Analytics Centre of Excellence in the Global Ops Insights organization. Build, maintain, and scale ML/LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim. Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases. Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights. Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data. Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly). Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions. Stay up to date with the latest trends and best practices in NLP, AI/LLMs and experiment with newer techniques to shift bias towards efficiency. Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques. Requirements Skills & Expertise: 5-8 years of industry experience and an Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) Proven track record of delivering full stack AI/ML projects from inception to business impact. Advanced level proficiency in Python, including libraries such as NLTK, spaCy, scikit-learn, numpy and pandas. Strong understanding of SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. Familiarity with linear regression, logistic regression, SVM, random forest, advanced concepts of NLP, KNN, K-Means, A/B testing, and multivariate testing,. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Hands-on experience in text classification, sentiment analysis, topic modeling, and named entity recognition (NER), proficiency in building and deploying machine learning models and analyzing unstructured data such as textual data, including social media, customer feedback, and reviews. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn. Familiarity with Git or other version control systems, deep learning models for NLP tasks, such as transformers (e.g., BERT, GPT). Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity. Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines. Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct exploratory data analysis (EDA) to uncover insights and trends in data and communicate findings to both technical and non-technical audiences Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Be part of the exciting Growth Story of Thoucentric!

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

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Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

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No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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