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Senior Data Scientist - NLP / Machine Learning

Senior Data Scientist - NLP / Machine Learning

LIFTU TECHNOLOGY PRIVATE LIMITEDPune
30+ days ago
Job description

Job Summary :

We are seeking a Senior Data Scientist with a strong foundation in machine learning and hands-on expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). The ideal candidate will have deep experience in Pythons data science ecosystem, advanced analytical skills, and a passion for solving complex business problems through data-driven approaches. You will play a key role in designing, developing, and deploying ML models and NLP pipelines that power intelligent business solutions.

Job Description :

  • Strong background in machine learning (unsupervised and supervised techniques) with

significant experience in text analytics / NLP.

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
  • Strong programming ability in Python with experience in the Python data science ecosystem : Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.
  • Good knowledge of database query languages like SQL and experience with databases (PostgreSQL / MySQL / Oracle / MongoDB)
  • Excellent verbal and written communication skills
  • Excellent analytical and problem-solving skills
  • Degree in Computer Science, Engineering or relevant field is preferred.
  • Proven Experience as Data Analyst or Data & Responsibilities :
  • Develop and implement machine learning models (supervised and unsupervised) for real-world business use cases.
  • Lead the design and development of text analytics and NLP solutions, including tokenization, named entity recognition, sentiment analysis, topic modeling, and leveraging LLMs.
  • Write efficient and scalable Python code using libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.
  • Analyze large datasets to extract actionable insights and patterns using statistical and predictive modeling techniques.
  • Work with SQL and various databases (PostgreSQL, MySQL, Oracle, MongoDB) for data extraction and manipulation.
  • Collaborate closely with cross-functional teams including product managers, data engineers, and software developers.
  • Communicate complex results and technical concepts clearly to non-technical stakeholders.
  • Stay up to date with the latest research and advancements in ML, NLP, and LLM To Have :
  • Familiarity with Hive, Pig and Scala.
  • Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc.
  • Experience with using cloud technologies on AWS / Microsoft Azure.
  • (ref : hirist.tech)

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