A company is looking for a Machine Learning Engineer for a hybrid or remote position. ...
Cloud Engineer Machine Learning Ops. Cloud Engineer Machine Learning Ops. Contribute to building advanced analytics, machine learning platforms and tools to enable both prediction and optimization of models. Extensive experience working with machine learning models with respect to deployment, infere...
A company is looking for a Principal Machine Learning Scientist. ...
We are looking for an experienced Machine Learning engineer with experience in Large Language Model (LLM) application development to join The Product Development Digital Strategy & Enablement team (PD-DSE). ...
Key Responsibilities:Guide students through a case-study-based curriculum and provide 1-1 mentorshipConduct biweekly check-ins with students to discuss projects and career adviceSupport students outside of scheduled calls to assist with learning objectivesRequired Qualifications:3+ years of industry...
Is this your next job Read the full description below to find out, and do not hesitate to make an application.An additional goal of the position is to develop more advanced applied engineering skills as well.Design and develop high quality, testable and scalable software solutions within established...
The research team at ECRS is looking for a talented, experienced individual who is fearless in tackling real world problems with efficient, practical Machine Learning (ML) solutions and demonstrate excellence in computer vision. Research, design, develop and train new machine learning models or adap...
Patent Prosecution Attorney or Agent – Artificial Intelligence/Machine Learning + Cloud Computing. The ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. This may also include patent work related to im...
This will involve extensive use of machine learning and geometric deep learning algorithms. Machine Learning Engineer – Bioinformatics. Newton Colmore is collaborating with an exciting biotech start-up in London, assisting them with their search for a machine learning engineer to join their bioinfor...
Machine Learning Engineer/ Data Scientist. ...
Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure. Architect Generative AI and Deep Learning applications for hardware design problems. Good understanding with hands-on experience in data cleansing and modeling for deep learning models in at least one domain (language...
A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in UNC-Chapel Hill. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain disorders. ...
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e. We develop A...
As a member of the on-device team, your primary responsibility is to work on machine learning on Edge, which is the latest trend in machine learning. Additionally, you will work with our research team to implement cutting-edge ideas in the field of natural language processing and on-device machine l...
You'll leverage your expertise in Arabic NLP and machine learning to design, train, and deploy models that accurately assess the complexity of Arabic text. Developing and training machine learning models using Natural Language Processing (NLP) techniques. Stay current with advancements in machine le...
In this role, you will serve as a subject matter expert supporting the Machine Learning (Deep Learning) requirements of our system. Data Scientist - Machine Learning Engineer. Train, evaluate and improve existing Machine Learning models. Knowledge and experience in Machine Learning algorithms. ...
Requires experience in the following: machine learning pipeline infrastructures and model building on a distributed Spark computation platform such as Hadoop, HDFS, Teradata, AWS cloud, or Hive; programming in Python and JVM-based programming languages including Java and Scala; interpreting and expl...
The ideal candidate will have a deep understanding of artificial intelligence, machine learning, and data science, coupled with a strong background in Pre-Sales Solution Architecture. Understanding of AWS, Azure, and/or Google Cloud Machine Learning Services. Understanding of machine learning framew...
Expert in machine learning techniques and presenting data findings. ...
Build end-to-end data science and engineering solutions utilizing Artificial Intelligence and Machine Learning within a small, dynamic team. ...
Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizati...
Machine Learning Performance Engineer to focus on ML Performance modeling, projection, and optimization for various ML workloads, and participate in hardware and software co-design. Machine Learning Performance Engineer, you will analyze and explore recent ML models, understand their compute and mem...
Designing and implementing portable, modular, instrumented and highly performant model deployment pipelines for many types of machine learning including supervised and unsupervised learning as well as CNNs, RNNs or other deep learning algorithms. Their primary responsibility will be to design and de...
The Data Science and Machine Learning guild is thriving to enable us to deploy Machine Learning algorithms with data from many different sources including our own platform, and user behavioral data, we learn our users’ journey and build a personalized experience that is unique to each user. Help est...
Knowledge of machine learning concepts and techniques such as supervised, unsupervised, and reinforcement learning, deep learning, natural language processing, computer vision, etc. Machine Learning - Data Engineer. Work closely with data scientists, software engineers, product managers, and stakeho...