<p><p><b>Profile : Sr. AI Engineer</b><br/><br/><b>Location : Mohali, Punjab or Remote</b><br/><br/><b>Immediate joiners preferred</b><br/><br/><b>- Must have done B.tech/ MCA</b><br/><br/><b>- Must have 5 years exp in AI</b><br/><br/>Job Description : We are looking for a highly skilled and experienced <b>Sr. AI Engineer</b> 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.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Develop and maintain web applications using Django and Flask frameworks.<br/></p><p><br/></p><p>- Design and implement RESTful APIs using Django Rest Framework (DRF).<br/></p><p><br/></p><p>- Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.<br/></p><p><br/></p><p>- Build and integrate APIs for AI/ML models into existing systems.<br/></p><p><br/></p><p>- Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.<br/></p><p><br/></p><p>- Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.<br/></p><p><br/></p><p>- Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.<br/></p><p><br/></p><p>- Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.<br/></p><p><br/></p><p>- Ensure the scalability, performance, and reliability of applications and deployed models.<br/></p><p><br/></p><p>- Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.<br/></p><p><br/></p><p>- Write clean, maintainable, and efficient code following best practices.<br/></p><p><br/></p><p>- Conduct code reviews and provide constructive feedback to peers.<br/></p><p><br/></p><p>- Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.<br/><br/><b>Required Skills and Qualifications :</b><br/></p><p><br/></p><p>- B.tech / MCA<br/></p><p><br/></p><p>- At least 5 years of professional experience as an AI Engineer.<br/></p><p><br/></p><p>- Proficient in Python with a strong understanding of its ecosystem.<br/></p><p><br/></p><p>- Extensive experience with Django and Flask frameworks.<br/></p><p><br/></p><p>- Hands-on experience with AWS services for application deployment and management.<br/></p><p><br/></p><p>- Strong knowledge of Django Rest Framework (DRF) for building APIs.<br/></p><p><br/></p><p>- Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.<br/></p><p><br/></p><p>- Experience with transformer architectures for NLP and advanced AI solutions.<br/></p><p><br/></p><p>- Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).<br/></p><p><br/></p><p>- Familiarity with MLOps practices for managing the machine learning lifecycle.<br/></p><p><br/></p><p>- Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.<br/></p><p><br/></p><p>- Excellent problem-solving skills and the ability to work independently and as part of a team.<br/></p><p><br/></p><p>- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.</p><br/></p> (ref:hirist.tech)