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JPMorgan Machine Learning Engineer United States, Delaware, Wilmington
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Applied Statistics, Information Science, Computer Science, Computer Engineering, Information Technology, Statistics, Data Analytics or related quantitative field of study plus 1 year...
Collaborate with data scientists and domain experts to identify and engineer relevant features for improving model accuracy and robustness. Deploy machine learning models into production systems, ensuring scalability, reliability, and...
DESCRIPTIONKey job responsibilities* Ability to quickly learn cutting edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.* Responsible for...
Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow. Strong fundamentals in 3D geometry and...
3+ years’ experience in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). 2+ years’ experience building machine learning systems and scalable...
Deep understanding of predictive modeling and machine learning algorithms for supervised and unsupervised learning including classification, regression, clustering, etc. Excellent knowledge and experience in all major machine learning algorithms, statistical...
Design and develop end-to-end products to enable easy adoption of generative AI for enterprises. Collaborate with multi-functional teams including product managers, applied scientists, and other engineers and identify and implement...
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Applied Statistics, Information Science, Computer Science, Computer Engineering, Information Technology, Statistics, Data Analytics or related quantitative field of study plus 1 year...
As a Machine Learning Engineer at Expoint, you will be responsible for creating real-world applications of AI and ML technologies. Using a variety of math and programming software, you will develop algorithms to automate data processing and decision-making functions. You will work collaboratively with a team of engineers, software developers, and data scientists to build efficient models that can facilitate the development of AI products.
You will be expected to keep yourself up-to-date on the latest trends in ML technologies, develop proof-of-concepts, and create robust testing frameworks. You will have to have the ability to design and execute experiments with a variety of datasets, as well as develop models with the best performance criteria possible. Your end-results should be used to predict future outcomes and make recommendations.
Additionally, you should be able to work within tight deadlines, work collaboratively in a team-oriented environment, and be self-directed in completing individual tasks. You should also have the ability to communicate clearly and concisely with both technical and non-technical stakeholders.
We are looking for a creative thinker who understands how AI and ML can be used to help businesses make data-driven decisions. If you have a strong background in machine learning, programming, and software engineering, then come join our exciting team of engineers at Expoint.