
Senior Machine Learning Specialist
2 days ago
We are seeking a highly skilled and experienced Senior Data Scientist to join our team.
The successful candidate will have expertise in developing and optimizing machine learning models for classification, regression, clustering, and recommendation systems. They will implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
The role involves preprocessing and analyzing large datasets to extract meaningful insights. The Senior Data Scientist will fine-tune models for performance, accuracy, and efficiency.
Deploying ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices is also a key responsibility of the position. The successful candidate will collaborate with data engineers to build robust data pipelines.
Research on emerging AI/ML technologies and applying them to real-world problems is an essential aspect of this role.
In addition, the Senior Data Scientist will write clean, maintainable, and well-documented code following best practices.
They will perform model evaluation, A/B testing, and error analysis to improve performance. Working with stakeholders to understand business requirements and translating them into AI solutions is also a key part of this role.
Requirements:
- Expertise in developing and optimizing machine learning models
- Experience in implementing deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras
- Ability to preprocess and analyze large datasets
- Proficiency in deploying ML models into production environments
- Collaboration skills to work with data engineers
- Knowledge of emerging AI/ML technologies and ability to apply them to real-world problems
- Strong coding skills with ability to write clean, maintainable, and well-documented code
- Experience in performing model evaluation, A/B testing, and error analysis
Benefits:
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
We are committed to creating a diverse and inclusive workplace that values creativity, innovation, and collaboration.
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