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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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You are a developer with knowledge and experience (Sr) in: Microsoft 365 Cloud: AWS y Azure Stack MySQL + Laravel Python, Tensorflow + LLM + Opencv , Flask fast API You are fluent in English and Spanish Excellent communication and teamwork skills.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.) The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.
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Senior Machine Learning Engineer (Python, PySpark, SQL) At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Strong understanding of machine learning principles, especially in the context of LLMs. 5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch Skills in Java/scala (preferred) Experience building scalable deep learning systems.
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Expertise in python for data extraction model building in Tensorflow/Keras, and deployment. Deep experience with best practices in software development and flow, utilizing Python files over notebooks, object-oriented design, and Git for version control.
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Strong backend development skills using languages such as Python, Node.js , or Java, and frameworks such as Flask, Django, Express. Build scalable backend services and APIs using languages such as Python, Node.js , or Java, and frameworks such as Flask, Django, Express.
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Knowledge of SQL and experience with multiple data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, kafka, Spark) with proficiency in Python, text processing, and python data analysis packages (eg.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, PySpark, SQL) At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply.
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Current Tech Stack: AWS, Redshift, Databricks, Python, DBT, Spark, Airflow, Kafka, Kubernetes, LightGBM, MLFlow, Metabase. Key Technology Proficiency: Expertise in Neural Networks (TensorFlow / PyTorch), Gradient Boosting libraries (LightGBM / XGBoost), and at least one top Cloud provider (GCP, Azure, AWS.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Machine Learning Engineer (Python)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Machine learning, llm, large language models, python, java, scala. machine learning,llm,large language models,python,java,scala. machine learning, llm, large language models, python, java, scala.
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