
Data Model Optimization Specialist
16 hours ago
We are seeking an experienced professional to develop and optimize machine learning models for various applications. The ideal candidate will have a strong background in AI/ML development, with expertise in frameworks like TensorFlow, PyTorch, or Keras.
The role involves implementing deep learning architectures, preprocessing and analyzing large datasets, and fine-tuning models for performance, accuracy, and efficiency. Additionally, the candidate will be responsible for deploying ML models into production environments using cloud platforms or edge devices.
Collaboration with data engineers is crucial in building robust data pipelines, while conducting research on emerging AI/ML technologies and applying them to real-world problems is also essential.
The successful candidate will possess excellent problem-solving skills, with the ability to write clean, maintainable, and well-documented code following best practices. Performance evaluation, A/B testing, and error analysis are also key aspects of this role.
We require a minimum of 2-4 years of experience in AI/ML development, proficiency in Python, and knowledge of ML libraries such as TensorFlow, PyTorch, or Keras. A strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling is expected.
Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL) is beneficial. An understanding of NLP, computer vision, or reinforcement learning is a plus.
Key Requirements- A minimum of 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
- Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL)
- An understanding of NLP, computer vision, or reinforcement learning
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