Data Scientist with Machine Learning Expertise

4 weeks ago


Surat, Gujarat, India TecQubes Technologies Full time

Job Title: Data Analyst with Machine Learning

This role is ideal for someone who enjoys working with data and has a passion for leveraging cloud technologies to drive business insights and solutions.

Work Model: Hybrid

Key Responsibilities:

  • Analysing large datasets to identify trends and insights.
  • Developing predictive models using machine learning algorithms.
  • Designing experiments and analysing results to measure the impact of product changes.
  • Working closely with software engineers to integrate data science solutions into products.
  • Technical Skills:
    • Excellent programming skills with Python.
    • Experience and knowledge of deep learning frameworks such as TensorFlow, PyTorch, matplotlib, numpy, and scikit-learn libraries.
    • Designing, developing, and implementing scalable machine learning solutions leveraging deep learning and graph databases.
    • Strong communication and presentation skills and experience with working in a cross-geo setup.
    • Strong background in machine learning and data analysis.
    • Experience with big data technologies like Hadoop, Spark, and NoSQL databases.
    • Experience in designing and integrating RESTful APIs.
    • Experience with DevOps tools and practices.
    • Excellent debugging and optimisation skills.
    • Experience in unit/integration testing.
    • Excellent problem-solving and analytical skills.

Collaboration and Mentorship:

  • Collaborating with cross-functional teams to ensure successful project implementation.
  • Mentoring junior team members and providing technical guidance.

Continuous Improvement:

  • Researching new technologies and techniques to improve existing processes.
  • Monitoring the performance of models in production and suggesting improvements.

Soft Skills:

  • Excellent communication and problem-solving skills.
  • Ability to work independently and collaboratively.

Perks and Benefits:

  • Accommodations will be provided.


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