Posted:1 month ago|
Platform:
Remote
Full Time
We’re offering an exciting opportunity for a Machine Learning Engineer/Data Engineer to join our dynamic team, a company focused on simplifying international trade.
•Design, build, and maintain scalable data pipelines for diverse datasets.
•Develop and implement advanced Natural Language Processing (NLP) models and neural network architectures.
•Perform data cleaning, preprocessing, and augmentation to ensure high-quality inputs for machine learning models.
•Collaborate with cross-functional teams to deploy machine learning models in production environments, adhering to MLOps best practices.
•Stay updated with the latest advancements in large language models, including GPT, LLAMA, and Falcon, and explore their applications.
•Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
•Minimum of 1.5-2 years of professional experience in machine learning, with a focus on NLP and neural networks.
•Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or similar.
•Demonstrated experience in designing and managing scalable data pipelines.
•Strong understanding of MLOps principles and experience deploying models in production environments.
•Familiarity with large language models like GPTs, LLAMA, Falcon, etc.
•Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments.
•Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
•Strong problem-solving abilities and excellent communication skills.
If you're passionate about advancing NLP and machine learning technologies and meet the above qualifications, we'd love to hear from you.
Communication, and Falcon, GPT, LLAMA, LLM, MLOps, neural networks., PyTorch, TensorFlow, AWS, Azure, Docker, GCP, Kubernetes, NLP, Python.
Let’s build the future of data together!
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