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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this leadership role, you will be at the intersection of data science, machine learning, and the telecommunications domain. Provide technical leadership and guidance, encouraging best practices in data science and promoting a culture of collaboration and continuous learning.
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Technical Qualifications:AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Well versed in Data science concepts, modelling techniques, statistical models, deep learning. Well versed in Data science concepts, modelling techniques, statistical models, deep learning.
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Artificial Intelligence, Natural Language Processing (NLP), Python, LLMs, Deep Learning. Artificial Intelligence, Natural Language Processing (NLP), Python, LLMs, Deep Learning. Experience with modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers.
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Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus. It will work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operational efficiency.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Experience with LLMs and Deep learning models to develop business and data science solutions. 4+ years of related work experience in the field of Data Science & Machine learning.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Skills: elastic search,fast api,model training,wsgi server,flask,statistical models,data science,transformers,artificial intelligence,lang chain,python,modelling techniques,nlp,gen-ai,torch,llm-based libraries,computer science,gpt,deep learning,models,api.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. The ideal candidate's favorite words are learning, data, scale, and agility.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You will work closely with a team of talented data scientists, data and machine learning engineers, and software developers and play a key role in developing and delivering the next-generation AI/ML solutions to the business.
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