Data Modeling Specialist

20 hours ago

Madurai, Tamil Nadu, India beBeeMachine Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our team. As a key member of our data science group, you will design and develop artificial intelligence and machine learning systems that drive business value.

Job Description

The selected candidate will be responsible for developing, deploying, and evaluating machine learning models across various applications. This includes but is not limited to natural language processing, computer vision, and predictive modeling.

Required Skills and Qualifications
  • Programming skills: Strong proficiency in Python and intermediate knowledge of SQL.
  • Machine learning expertise: Experience building, deploying, and evaluating ML/NLP/GenAI systems.
  • Software engineering best practices: Knowledge of testing, object-oriented programming, and software development life cycles.
  • Cloud computing: Familiarity with cloud systems, especially Azure preferred.
  • Mathematical foundations: Thorough understanding of underlying mathematical concepts of statistics and machine learning.
  • Object-oriented programming: Development experience in one or more object-oriented programming languages (e.g., Python, Go, Java, C++).
  • SQL and databases: Advanced SQL knowledge and hands-on experience with database management.
Benefits
  • Collaboration: Experience working closely with other data scientists, data engineers, software engineers, data managers, and business partners.
  • Scalable solutions: Ability to build scalable, re-usable, impactful data science products in collaboration with data engineers and software engineers.
  • Actionable insights: Can carry out data analyses to yield actionable business insights.
  • Complex environments: Hands-on experience designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
  • Tool expertise: Applied knowledge of data science tools and approaches across all data lifecycle stages.
Others
  • Pragmatic mindset: Customer-centric and pragmatic mindset focusing on value delivery and swift execution while maintaining attention to detail.

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