Data Modeling Specialist

2 weeks ago

Mumbai, Maharashtra, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a key player in our organization's success, you will develop and optimize machine learning models for classification, regression, clustering, and recommendation systems.

About the Role:

The successful candidate will be responsible for implementing deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. Preprocessing and analyzing large datasets to extract meaningful insights are also essential skills for this position.

Main Responsibilities:
  • Implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Fine-tune models for performance, accuracy, and efficiency.
  • Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices.
  • Collaborate with data engineers to build robust data pipelines.
  • Conduct research on emerging AI/ML technologies and apply them to real-world problems.
  • Write clean, maintainable, and well-documented code following best practices.
  • Perform model evaluation, A/B testing, and error analysis to improve performance.
Requirements:
  • At least 2-4 years of experience in AI/ML development.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras.
  • A strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling.
  • Experience with data preprocessing, feature engineering, and model optimization.
  • Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
  • An understanding of NLP, computer vision, or reinforcement learning is an asset.
  • You should have an ability to work both independently and collaboratively in a fast-paced environment.
The Ideal Candidate:
  • Should be highly team-oriented and collaborative.
  • Must have a proper understanding of semantic markup and know how to build interactive pieces that comply with web accessibility standards.
  • Possess personal projects or frontend-related code contributions to open-source communities and actively publishes on web development topics.

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