Infibeam Avenues - Machine Learning Engineer @ Gamut infosystems

Job Description

Responsibilities As a machine learning engineer on the team, you will : Collaborate with Machine Learning scientists to design and develop sophisticated machine learning models Create project plan, execute end to end and evaluate the ML systems Implement and fine tune the state of the art neural network architectures Stay up to date with state of the art algorithms in multimodal deep learning techniques Work with large-scale datasets, preprocess and create Cross functional collaboration with researchers, software developers, and product managers Document and communicate thought process, technical findings and evaluation results Productionize the trained (deep learning) models Continuously monitor the performance of the models and iterate as needed Mentor and guide junior engineers Required Qualifications : Bachelors or Masters in AI/ML, Computer Science, Statistics or other relevant fields with 5+ years of AI/ML experience for Bachelors and 2+ years for. Masters Depth of knowledge in Software Engineering, Machine Learning, Generative AI, Data Science Prior experience in deep learning, machine learning, natural language processing or computer vision Strong programming skills in Python or C++ in a production environment Experience in developing production ready code with best practices Industry experience with machine learning tools such as scikit-learn, TensorFlow, PyTorch among others Good understanding of statistics, linear algebra, and probability theory Industry experience in CI/CD processes Familiarity with cloud computing environments such as aws will be a plus Preferred Qualifications : Experience with large scale data processing using Spark or other big data technologies Experience with CUDA will be a plus (ref:hirist.tech

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Infibeam Avenues - Machine Learning Engineer

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Keyskills:   Machine Learning Deep Learning Software Engineering Data Science Python C Statistics Linear Algebra Cloud Computing Spark CUDA Neural Network Architectures Multimodal Deep Learning Generative AI Scikitlearn TensorFlow PyTorch Probability Theory CICD Processes