AI/ML Engineer ChicMic Studios

About ChicMic Studios

Job Description

You will be responsible for developing and maintaining web applications utilizing Django and Flask frameworks. Your role will involve designing and implementing RESTful APIs using Django Rest Framework (DRF). Additionally, you will deploy, manage, and optimize applications on AWS services like EC2, S3, RDS, Lambda, and CloudFormation. Your tasks will also include building and integrating APIs for AI/ML models into existing systems. You will create scalable machine learning models using frameworks such as PyTorch, TensorFlow, and scikit-learn. Implementation of transformer architectures like BERT and GPT for NLP and other advanced AI use cases will be part of your responsibilities. Furthermore, you will optimize machine learning models using techniques like hyperparameter tuning, pruning, and quantization. Deploying and managing machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker will be crucial. Ensuring scalability, performance, and reliability of applications and deployed models is an essential aspect of your role. Collaboration with cross-functional teams to analyze requirements and deliver effective technical solutions will be necessary. You will also be expected to write clean, maintainable, and efficient code following best practices. Conducting code reviews and providing constructive feedback to peers will be part of your routine. Staying up-to-date with the latest industry trends and technologies, especially in Artificial Intelligence (AI) and Machine Learning (ML), is vital. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field. A minimum of 2 years of professional experience as a Python Developer is required. Proficiency in Python with a strong understanding of its ecosystem is essential. Extensive experience with Django and Flask frameworks, as well as hands-on experience with AWS services for application deployment and management, is crucial. Demonstrated expertise in Django Rest Framework (DRF) for building APIs and in machine learning frameworks like PyTorch, TensorFlow, and scikit-learn is required. Experience with transformer architectures for NLP and advanced AI solutions is highly desirable. A solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) is necessary. Familiarity with MLOps practices for managing the machine learning lifecycle is advantageous. Basic knowledge of front-end technologies such as JavaScript, HTML, and CSS is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team will be essential for success in this role.,