
Artificial Intelligence/Machine Learning Engineer
7 days ago
Job Description : AI Engineer
Overview
We are looking for a highly skilled and experienced AI/ML to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.
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.
- Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.
- Write clean, maintainable, and efficient code following best practices.
- Conduct code reviews and provide constructive feedback to peers.
- Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.
Required Skills And Qualifications
- 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.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
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