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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI.Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. 2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.
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Good hands-on skills on Python, with good knowledge of NLTK libraries. Neural Nets, deep learning algos, tensor-flow(TF) Tagged as: Industry, Machine Learning, United States.
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Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.) You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience in architecting and implementing AI solutions, with strong focus on machine learning, deep learning, and natural language processing.
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Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus. The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models as well as experience around building guardrails around LLM generated outputs.
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Expert-level proficiency in Python and/or Golang, with a deep understanding of Deep learning techniques and their deployment in large-scale production environments with accelerators (e.g. GPUs.
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
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Strong background in machine learning, deep learning, and statistical modeling with hands-on experience in developing and deploying ML solutions. We are seeking a self-driven and motivated Machine Learning Engineer with a specialized focus on building robust infrastructure tailored for handling large-scale inference workloads for AI and ML models.
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