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Strong proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Infrastructure Provisioning and Orchestration: Architect and deploy scalable infrastructure for ML workloads using cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Two years of experience in: Python programming, using Tensorflow or Pytorch; and working with Linux, Docker, git and MongoDB. Two years of experience in: Python programming, using Tensorflow or Pytorch; and working with Linux, Docker, git and MongoDB.
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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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Collaborate with Tech Anchor, Product Manager, and Product Owner to deliver MLOPs platform and Gen AI solution in Google Cloud Platform using Python and other tools. Understanding of MLOps/Machine Learning Life Cycle and common ML frameworks (sklearn, tensorflow, pytorch.
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Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus. Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is required.
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Have strong programming skills and proficiency in commonly-used ML languages such as Python, and ML and data science libraries, such as TensorFlow, PyTorch, and OpenCV. Have excellent written and oral communication skills and can articulate complex technical issues for a wide range of audiences.
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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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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies.
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Proficient in Deep Learning: CV models, other data models (TensorFlow, Ansile). Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Proficiency in Python development, Tensorflow, and Databricks.
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Proven expertise in building machine/deep learning models using common frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, TensorFlow, XGBoost, etc. Proficient in Python and experienced with machine learning and NLP processing.
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Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, Numpy, Matpilotlib. Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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A : Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes. Expertise in Python. A : Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes.
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Technical proficiency in MATLAB, Python, and common deep learning frameworks (e.g., Tensorflow, PyTorch) Technical proficiency in MATLAB, Python, and common deep learning frameworks (e.g., Tensorflow, PyTorch.
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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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