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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Machine Learning Engineering - Dallas, TX (Hybrid.
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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion.
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
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The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Understanding of machine learning algorithms such as Linear and Logistic regressions, Decision tree, K-means, Random forest, Deep Neural Nets, CNN, RNN and LLMs. The ideal candidate is an experienced software developer with a focus on machine learning, ideally familiar with GCP and Vertex AI. This Sr Machine Learning Python Developer role will involve supporting the AI model development process in our AI Pillar.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines.
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Key medicinal chemistry principles to your cross-disciplinary colleagues from Computational Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology. Our existing process of progressing from computational hit to experimental hit to lead to drug candidate.
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Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics. Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning.
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