Data Science Engineer (Python)

4 - 9 years

10 - 20 Lacs

Posted:19 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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Are you passionate about solving real-world problems using data and Python? Join our team at Crosslynx and work on innovative projects in AI, ML, and cloud-based analytics platforms.

Product Engineering

Data Science Engineer

  • Develop and maintain Python-based data processing and analytics pipelines
  • Work with structured and unstructured data from multiple sources and databases
  • Build and deploy machine learning models using frameworks like

    scikit-learn, TensorFlow, PyTorch

  • Implement data visualization dashboards using tools like

    Plotly, Dash, or Streamlit

  • Ensure data integrity, security, and compliance across systems
  • Collaborate with software engineers, data analysts, and product teams
  • Write unit tests and debug data workflows for reliability and scalability
  • Use version control tools like

    Git

    for collaborative development

  • Strong proficiency in

    Python

    and familiarity with

    Python testing frameworks

    (e.g., Pytest, Robot)
  • Experience with

    ORM libraries

    and database schema design
  • Understanding of

    multi-process architecture

    and

    event-driven programming

  • Basic knowledge of

    HTML5, CSS3, JavaScript

    for dashboard integration
  • Familiarity with

    templating engines

    (e.g., Jinja2)
  • Knowledge of

    authentication/authorization

    across systems
  • Strong debugging and unit testing skills
  • Experience with

    Git/SVN

    for version control

  • Exposure to

    data science libraries

    like Pandas, NumPy, Matplotlib
  • Experience with

    cloud platforms

    (AWS, GCP, Azure)
  • Familiarity with

    CI/CD pipelines

    for model deployment
  • Understanding of

    data security and compliance standards

  • Knowledge of

    API integration

    and microservices architecture

  • Healthy work-life balance
  • Freedom to innovate and express ideas
  • Opportunities to work with global clients
  • Exposure to cutting-edge technologies in

    AI/ML, IoT, 5G, Cloud

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