Machine Learning Engineer at Uniccon Group

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 successfucandidate wilbe 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-functionateams including data scientists, software engineers, and DevOps to integrate Mmodels into production environments.
• Provide technicaguidance 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.

Method of Application