Data Science Engineer

4 days ago

Chennai, Tamil Nadu, India Populus Empowerment Network Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities
:

  • Develop and maintain backend systems for data processing and analytics
  • Implement and optimize machine learning models for OCR and NLP applications
  • Leverage Python and related frameworks to process large datasets efficiently
  • Work with data engineering teams to integrate data pipelines and data sources into backend systems
  • Design, implement, and deploy robust, scalable, and secure backend services
  • Apply Data Science concepts to analyze, interpret, and leverage data for actionable insights
  • Collaborate with front-end developers to integrate user-facing elements with server-side logic
  • Stay up-to-date with the latest trends in data science, machine learning, OCR, and NLP technologies
  • Troubleshoot and resolve issues in data models, pipelines, and production systems
  • Mentor and guide junior developers and contribute to team knowledge sharing

Required Skills and Qualifications
:

  • 4+years of experience as a Data Scientist or Backend Developer
  • Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
  • Strong knowledge of Data Science concepts, statistical analysis, and machine learning algorithms
  • Experience with Optical Character Recognition (OCR) techniques and tools (e.g., Tesseract, OpenCV)
  • Strong understanding and experience in Natural Language Processing (NLP) concepts (e.g., Named Entity Recognition, Sentiment Analysis, Text Classification)
  • Experience with backend frameworks and technologies (e.g., Django, Flask, FastAPI)
  • Familiarity with database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP)
  • Solid experience with version control (e.g., Git) and agile development processes
  • Excellent problem-solving and analytical skills
  • Strong communication skills and the ability to work effectively in a collaborative team environment

Preferred Qualifications
:

Immediate Joiners are preferred.

  • Master's degree or higher in Computer Science, Data Science, or a related field
  • Experience with deploying machine learning models in production
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with big data tools and technologies (e.g., Hadoop, Spark)

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