Data Science Innovator

1 day ago

Agra, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 25,00,000 - ₹ 35,00,000

Job Title: Senior Data Scientist

  • Design and implement advanced AI/ML models to support strategic business objectives.
  • Write robust engineering-grade code that integrates seamlessly into production environments.
  • Work closely with cross-functional teams to turn data into insights and drive measurable business outcomes.

Key Responsibilities:

  • Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
  • Extract insights from complex data and communicate findings to stakeholders.
  • Design and implement data-driven solutions, including real-time and batch processing systems.
  • Collaborate with engineers to build scalable and efficient data pipelines.
  • Develop and maintain RESTful APIs to serve machine learning models.
  • Work with databases, including data modeling, schema design, and query optimization.
  • Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.
  • Stay up-to-date with industry trends and advancements in AI/ML.

Required Skills and Qualifications:

  • 5+ years of experience in data science and machine learning.
  • Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
  • Experience with machine learning model development, deployment, and maintenance.
  • Strong understanding of data structures, algorithms, and software design patterns.
  • Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience with GitHub, Docker, and AWS.
  • Familiarity with RESTful API design and development.
  • Experience with real-time and batch processing systems.
  • Excellent communication and collaboration skills.

Benefits:

  • Competitive salary package.
  • Opportunity to work on complex and challenging projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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