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Data Scientist

MindWise Technologies
Posted on

Experience
3 - 8 yrs
Job Location
India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified

Job Description

Location: Remote
Type: Full Time

Roles and Responsibilities:
  • Develop best in class ML models, train, evaluate performance and optimize models
  • Productionize ML models, collaborate with data engineers and ML Ops to deploy models into production while ensuring scalability
  • Monitor and evaluate the performance of ML models
  • Conduct analysis to extract insights from data
  • Collaborate with data engineers to build scalable data pipelines
  • Experience in building AI agents using frameworks like LangChain, LangGraph, MCP etc
Skills:
  • Proficiency in developing and deploying machine learning and deep learning models
  • Expertise in Python and SQL with strong knowledge of Python based ML/DL frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn.
  • Extensive experience with statistical modeling (regression, trees, boosting, random forests, etc.)
  • Proficiency in working with large, tabular datasets, and applying data science techniques for data analysis
  • Experience in leveraging Generative AI, transformers architecture (BERT, GPT etc) and proficiency in working with embeddings.
  • Good understanding of Natural Language Processing (NLP), Text Preprocessing, Text Classification, Entity Recognition.
  • Experience with cloud platforms (e.g.AWS) and related services
  • Experience in monitoring ML models in production ensuring robust health and performance while enabling continuous improvement
  • Experience with RDBMS, NoSQL and vector databases
  • Knowledge of REST APIs and Web Services
  • Solid understanding of data structures, algorithms and software engineering
Qualification:
  • Bachelors/Masters degree from tier 1 institutes like IIT/BITS Pilani etc.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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