Job Description
We are looking for an experienced engineer to join our team who has expertise in Docker containerization, MLOps, PyTorch/TensorFlow/TensorRT frameworks, NVIDIA CUDA, NLP, and programming languages such as Python and C++.
The successful candidate will be responsible for designing, developing, and implementing machine learning models in a production environment.
Responsibilities:
Design and develop Docker containerized applications for machine learning models.
Build and maintain scalable MLOps infrastructure.
Develop and optimize machine learning models using PyTorch, TensorFlow, and TensorRT.
Work with NLP models for text classification, sentiment analysis, and entity recognition.
Collaborate with cross-functional teams including data scientists, software engineers, and DevOps to integrate ML models into production environments.
Provide technical guidance and support to the team members.
Stay up-to-date with the latest technologies and trends in machine learning, NLP, Docker, and MLOps.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2+ years of experience in designing and developing Docker containers for production environments.
2+ years of experience in MLOps and building scalable machine learning infrastructure.
Proficient in PyTorch, TensorFlow, and TensorRT frameworks and optimizing machine learning models using GPU acceleration with NVIDIA CUDA.
Strong background in NLP and experience with popular NLP libraries such as NLTK, spaCy, Gensim, Nvidia Nemo, transformers-based models.
Strong programming skills in Python and C++.
Familiarity with DevOps tools such as Kubernetes.
Excellent communication and collaboration skills.
Interested and qualified candidates should forward their CV to: recruitment@uniccongroup.com using the position as subject of email.
Apply via :
recruitment@uniccongroup.com