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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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3 years of working with Machine Learning esp. in Natural Language Understanding, Machine Translation, Deep Neural Networks and related fields. 9 years with at least two modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least three of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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We’re looking for a Director of Machine Learning Engineering with expertise and passion in building teams, coaching individuals, and solving difficult problems in LLM (Large Language Model) training and serving infrastructure.
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AI & Computational Sciences, Novartis Biomedical Research Leadership Role in Chemistry-based AI/Machine Learning. AICS is seeking a highly motivated and experienced leader in the field of Chemistry-based AI/Machine Learning to drive the frontier of drug discovery.
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A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning. Manage the system integration of existing Salesforce modules (Salesforce CPQ) and complementary tools and add-ons (Groove, Showpad, Xactly) and pro-actively suggest and implement new solutions to best fit the growing needs of the Company.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Proficiency in software development (SAS, R, Python, Matlab) and developing machine learning and predictive models. Other duties as requested by Biostatistics Director. Proficiency in software development (SAS, R, Python, Matlab) and developing machine learning and predictive models.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Experience building/using Analytics, Machine Learning and AI Libraries (particularly Apache Data fusion and Apache Spark) to deliver business value (Analyzing data and building visualizations.
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Design and build machine learning models using Python, TensorFlow, and PyTorch, tailored to the specific needs of MRI data analysis. Join our team of dedicated professionals and contribute to cutting-edge research and development in the field of medical image processing and apply your expertise in image analysis and machine learning to real world problems.
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Our team includes world-class molecular and synthetic biologists, protein engineers and gene therapy scientists working alongside software engineers, data scientists, and machine learning experts to transform the landscape of available gene therapy capsids.
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Experience in high performing software engineering environmentsExperience building infrastructure to support large-scale data and productized machine learning modelsInterest in building with AWS (ECS, RDS, API Gateway, Fargate, Lambda)Fluent in Python API development (Flask/Django)Excitement and interest in the mission of our teamExperience mentoring and developing engineers from various backgroundsExcellent communication skills.
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CUDA programming skills Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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Main projects include: Development of software for high-throughput imaging instrumentation;Development of software and machine learning pipelines for large-scale data processing and analysis;Development and support of large data processing, storage, and computing infrastructure;Success will require a close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions.
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machine learning jobs in Boston, MA
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