Posted:5 hours ago|
Platform:
On-site
Full Time
Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems.
· 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.
· Work with stakeholders to understand business requirements and translate them into AI solutions.
Requirements:
The Ideal Candidate:
Savart
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