
Advanced Machine Learning Developer
2 days ago
Unlock Career Advancement Opportunities
About the RoleWe are seeking an exceptional Machine Learning Developer to join our team. As a key member of our dynamic group, you will have the chance to apply your skills and experience to drive business success.
This is a highly rewarding role that involves designing, developing, and implementing advanced machine learning models to solve complex problems. You will work closely with cross-functional teams to understand business needs and translate them into technical solutions.
The ideal candidate will have a strong background in machine learning, deep learning, and large language models. They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM, and prompt engineering.
You will have the opportunity to develop and deploy deep learning models using frameworks like TensorFlow, PyTorch, or Keras. Additionally, you will optimize DL models for performance and scalability, staying updated with the latest advancements in DL and applying them to improve existing models.
This role offers a challenging and exciting environment where you can grow professionally and contribute to innovative projects.
Key Responsibilities- Design and implement machine learning models and algorithms to solve complex problems.
- Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and deploy deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Optimize deep learning models for performance and scalability.
- Stay updated with the latest advancements in deep learning and apply them to improve existing models.
- Strong background in machine learning, deep learning, and large language models.
- Proficient in Python and experience in conventional ML algorithms, DL techniques, LLM, and prompt engineering.
- Experience working with large datasets and implementing data pipelines.
- Strong understanding of deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Ability to stay updated with the latest advancements in deep learning and apply them to improve existing models.
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