
Senior Data Scientist – Artificial Intelligence and Machine Learning
1 day ago
We are seeking an Artificial Intelligence/Machine Learning Engineer to work on cutting-edge AI projects. This role offers a collaborative and dynamic environment, as well as opportunities for professional growth and development.
Key Responsibilities:- Develop and maintain web applications using Django and Flask frameworks.
- Design and implement RESTful APIs using Django Rest Framework (DRF).
- Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.
- Build and integrate APIs for AI/ML models into existing systems.
- Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
- Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
- Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
- Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.
- Ensure the scalability, performance, and reliability of applications and deployed models.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proficient in Python with a strong understanding of its ecosystem.
- Extensive experience with Django and Flask frameworks.
- Hands-on experience with AWS services for application deployment and management.
- Strong knowledge of Django Rest Framework (DRF) for building APIs.
- Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Experience with transformer architectures for NLP and advanced AI solutions.
- Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Familiarity with MLOps practices for managing the machine learning lifecycle.
- Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
Benefits:
- Cutting-edge AI project opportunities.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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