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Role: Machine Learning (ML) Architect with Azure (ADF, Databricks, Datalake) Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Experience with large language models, NLP/Data science, Machine learning; Bots; AI Chatbot. Minimum of 8~10 years of hands-on experience with NICE, Genesys, Amazon Connect, Salesforce.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Spark, Nvidia Triton Server, Kubernetes, YuniKorn, Kueue, Helm, AWS, EKS, EC2, S3, VPC, NLB, Ingress, Java, Go, Python, Splunk, Grafana, Prometheus, distributed systems, cloud computing, machine learning, inference, data processing frameworks, automation, optimization.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. You’ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.
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Continuously look out and keep track of the latest developments in machine learning and autonomous driving, incorporating new methodologies, technologies, and solutions that could improve our system's performance and capabilities.
$144,000 - $333,500 a yearFull-timeExpandUpdated 23 days ago - UpvoteDownvoteShare Job
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
$192,500 - $362,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They should have solid knowledge of AI and machine learning concepts including deep learning, NLP, computer vision, and generative AI. Hands-on experience benchmarking, analyzing performance, debugging and optimization of hardware for AI workloads is key.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Engineering Manager working on generative AI models for image synthesis to help us build the next generation of creative tools.
$148,600 - $298,800 a yearFull-timeExpandUpdated 23 days ago
hands on machine learning jobs Title: solutions architect sr in Sunnyvale, CA
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