added presentation
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "695136c1",
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"metadata": {},
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"source": [
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"## Oferty pracy na stanowisko Machine Learning Developer w Australii i USA\n",
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"\n",
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"\n",
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"### Institute of Data\n",
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"Location: **Melbourne**\n",
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"\n",
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"Required:\n",
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"- You have previous data science or engineering teaching experience, through a course, workshop, team training, meetups etc.\n",
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"- You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.\n",
|
||||
"- You have at least 3 years of professional data science experience.\n",
|
||||
"- You are an expert in SQL, Python, and related Python libraries (pandas, numpy).\n",
|
||||
"- You have domain expertise in statistics, mathematics, and probability.\n",
|
||||
"- You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels.\n",
|
||||
"- You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.\n",
|
||||
"- You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.\n",
|
||||
"- You are the person your colleagues naturally gravitate to when they are trying to figure something out.\n",
|
||||
"\n",
|
||||
"Additionally:\n",
|
||||
"- You have proficiency with python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R.\n",
|
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"- You are on top of industry trends in big data, machine learning, deep learning, and AI.\n",
|
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"- Management and/or director experience in a small business or team\n",
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"- Relevant data professional certification.\n",
|
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"\n",
|
||||
"---\n",
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"\n",
|
||||
"### Kinexus\n",
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||||
"Location: **South Australia**\n",
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"\n",
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||||
"Required:\n",
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"- Qualifications in Software Engineering.\n",
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"- Proven experience with Machine Learning.\n",
|
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"- Minimum of 3 years of experience in a similar role.\n",
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"- Experience with Python 3.6;\n",
|
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"- PyTorch/TensorFlow\n",
|
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"- NumPy, Pandas, matplotlib\n",
|
||||
"- Open CV, Pillow.\n",
|
||||
"- Experience with the software development lifecycle.\n",
|
||||
"- Experience working with Linux & Bash.\n",
|
||||
"- Experience with Docker.\n",
|
||||
"- Source code revision control system knowledge (GIT).\n",
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"- Experience working with SQL.\n",
|
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"\n",
|
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"---\n",
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"\n",
|
||||
"### Talenza\n",
|
||||
"Location: **Sydney**\n",
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||||
"\n",
|
||||
"Required:\n",
|
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"- A bachelor's degree in Computer Science or related field.\n",
|
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"- 3-5 years' experience working with cloud-base services and DevOps concepts, tools and practices\n",
|
||||
"- Experience with: Unix/AIX/Linux environments, Kubernetes, Docker, Azure Kubernetes service\n",
|
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"- Scripting and coding using Python, Shell\n",
|
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"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Clobotics\n",
|
||||
"Location: **Bellevue, WA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Rich Experience working with TensorFlow and/or Pytorch\n",
|
||||
"- Deep knowledge of deep learning techniques in object detection, image classification, or video tracking\n",
|
||||
"- Strong written and verbal communications skills\n",
|
||||
"- MS with 5+ years of related experience or Ph.D. is preferred.\n",
|
||||
"\n",
|
||||
"Additionally;\n",
|
||||
"- Knowledge of parallel computing, OpenCL, CUDA, GPGPU\n",
|
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"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Correlate Resources\n",
|
||||
"Location: **Sydney**\n",
|
||||
"\n",
|
||||
"Required: \n",
|
||||
"- Bachelor or above degree in Computer Science\n",
|
||||
"- 8+ years of commercial software development experience\n",
|
||||
"- Good communication and stakeholder management skills\n",
|
||||
"- Strong Python, SQL and Linux\n",
|
||||
"- Kubernetes experience\n",
|
||||
"- Solid experience with streaming technologies like Kafka, Pubsub or Kinesis\n",
|
||||
"- Practical knowledge of various classes of ML algorithms, techniques and packages\n",
|
||||
"- Experience of designing and implementing complex cloud solutions\n",
|
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" \n",
|
||||
"Additionally:\n",
|
||||
"- Experience of building production grade ML feature stores, model stores or ML pipelines in GCP or AWS\n",
|
||||
"- GCP Cloud Engineer or above level of certification\n",
|
||||
"- Solid ML Ops, SRE or DevOps experience\n",
|
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"\n",
|
||||
"---\n",
|
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"\n",
|
||||
"### Talent Insights Group Pty Ltd\n",
|
||||
"Location: **Sydney**\n",
|
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"\n",
|
||||
"Required:\n",
|
||||
"- A minimum of 3 years of professional experience in Machine Learning Engineering with a modern stack\n",
|
||||
"- A Computer Science degree at a Bachelor's level or beyond\n",
|
||||
"- Strong data pipeline and machine learning pipeline experience with big data\n",
|
||||
"- Good communication skills and confidence in sharing and presenting ideas with senior engineers and data scientists\n",
|
||||
"- Python, SQL, Spark, Google Cloud Platform, Kubernetes / Argo / Kubeflow, Kafka/PubSub\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Discord\n",
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||||
"Location: **San Francisco, CA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Python \n",
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"- Scala\n",
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"- Rust\n",
|
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"- 4 years of experience \n",
|
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"- Ph.D.\n",
|
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"- Pytorch/Tensorflow\n",
|
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"\n",
|
||||
"---\n",
|
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"\n",
|
||||
"### Change Healthcare\n",
|
||||
"Location: **Seattle, WA**\n",
|
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"\n",
|
||||
"Required:\n",
|
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"- MS degree in computer science or equivalent background\n",
|
||||
"- 5+ years professional experience building and operating scalable distributed systems across the full software lifecycle including design, implementation, testing, operations, and maintenance.\n",
|
||||
"- Programming experience in one or more modern programming languages such as Java, Python, Scala or C++. \n",
|
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"- Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, GCP, Kafka, Apache Spark, Hadoop, SQL).\n",
|
||||
"- Experience in foundational machine learning models and concepts: regression, random forest, boosting, HMM, CRFs, MRFs, deep learning is a plus\n",
|
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"- Experience with common machine learning libraries and tools: scikit-learn, Tensorflow, XGBoost is a plus\n",
|
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"- Prior experience in Healthcare AI is Big plus\n",
|
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"\n",
|
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"---\n",
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"\n",
|
||||
"### Amazon \n",
|
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"Location: **Seattle, WA**\n",
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"\n",
|
||||
"Required:\n",
|
||||
"- 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design\n",
|
||||
"- 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems\n",
|
||||
"- 4+ years of professional software development experience\n",
|
||||
"- Proficiency with Deep Learning algorithms and packages\n",
|
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"- Proficiency with AWS tools\n",
|
||||
"- Proficiency with Java, SQL and Spark\n",
|
||||
"- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs\n",
|
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"- Experience building complex software systems that have been successfully delivered to customers.\n",
|
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"- Success delivering products/services in a high-growth environment, exhibiting strong ability to identify and solve ambiguous customer-focused problems.\n",
|
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"- Experience in any one or more of the following areas: distributed systems, artificial intelligence, full-stack development.\n",
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"- Knowledge of professional software engineering best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.\n",
|
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"- Strong track record of helping build productive and successful software development teams, actively developing talent.\n",
|
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"- Ability to take raw product requirements and create software architecture, design, and code to bring them to life.\n",
|
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"- High attention to detail with proven ability to juggle multiple, competing priorities simultaneously and make things happen in a fast-paced, dynamic environment.\n",
|
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"- Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Product Management, and Senior Leadership.\n",
|
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"\n",
|
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"---\n",
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"\n",
|
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"### Apple\n",
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"Location: Seattle, WA\n",
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"\n",
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"Required:\n",
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"- 5+ years of professional work experience developing systems for automatic speech recognition (ASR), speech synthesis, and natural language understanding\n",
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"- Excellent programming skills in Python\n",
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"- Extensive experience with machine learning frameworks like Tensorflow, PyTorch\n",
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"- Good experience with large-scale data processing and distributed systems\n",
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"- Excellent problem solving, critical thinking, and communication skills.\n",
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"- Excellent data analytical skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis\n",
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"- B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering in the area of Speech/Language Processing or Machine Learning\n",
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"\n",
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"---\n",
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"\n",
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"### Credit Karma\n",
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"Location: **Oakland, CA**\n",
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"\n",
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||||
"Required:\n",
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"- Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 5 years of experience involving: application of cloud technologies, infrastructure, and application of distributed systems\n",
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"- Deep knowledge of personalization and recommendations systems\n",
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"- Building and operating machine learning platform\n",
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"\n",
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"Additionally:\n",
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"- Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field\n",
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"- Modern data technologies include technologies such as in-memory, distributed and serverless processing (e.g. spark/dataflow/cloud-functions), key/value vs. document vs. column oriented datastores (e.g. bigquery, bigtable, cloud-search), message queues (kafka/pub-sub), elastic scaling (kubernetes, instance-groups), etc\n",
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"- Modern machine learning and optimization technologies include familiarity with toolkits like sklearn, scipy, tensorflow and pytorch\n",
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"\n",
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"---\n",
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"\n",
|
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"### Snowflake\n",
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"Location: **Bellevue, WA**\n",
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"\n",
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||||
"Required:\n",
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"- 7+ years industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks.\n",
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"- Extremely strong fundamental computer science skills, particularly computer systems (e.g., distributed systems, database systems).\n",
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"- Deep fluency in Python and C++. Java experience is a plus.\n",
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"- Ability to work in a team environment, collaborate well, and mentor junior engineers.\n",
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"- Experience planning complex projects with cross-functional dependencies.\n",
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"- Ability to work on-site in our downtown Bellevue office.\n",
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"- Advanced degree in Computer Science.\n",
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"\n",
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"Additionally:\n",
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"- Experience in building machine learning training platforms\n",
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"- Experience in building machine learning data and feature platforms\n",
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"- Experience in building machine learning prediction platforms\n",
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"- Experience building lineage and metadata systems\n",
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"- Data warehouse design, database systems, and large-scale data processing solutions.\n",
|
||||
"- Experience in adapting machine learning techniques to highly parallel and distributed environments.\n",
|
||||
"- Experience with common ML frameworks such as Spark, MLlib, Tensorflow, Pytorch, XGBoost, or scikit-learn.\n",
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"- MS or PhD degree in Computer Science with specialization in Artificial Intelligence, Machine Learning, or related technical field.\n",
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"\n",
|
||||
"---\n",
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||||
"\n",
|
||||
"### Pearson\n",
|
||||
"Location: **Bismarck, ND**\n",
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"\n",
|
||||
"Required:\n",
|
||||
"- MS or PhD in a quantitative field (CS, EE, statistics, math, data science) required\n",
|
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"- 5 years experience in the field of natural language processing (NLP)\n",
|
||||
"- 5 years professional experience as a software engineer or data scientist\n",
|
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"- Strong coding capabilities in Python and/or R\n",
|
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"- Experience with Linux and AWS\n",
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"- Proven ability to build neural networking models for natural language applications\n",
|
||||
"- 5 years experience TensorFlow, PyTorch or Keras\n",
|
||||
"- Strong in using Jupyter notebooks for research and data analytics\n",
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"\n",
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"Additionally:\n",
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"- Kubernetes"
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]
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}
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],
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"kernelspec": {
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@ -0,0 +1,250 @@
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{
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||||
"cells": [
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||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "695136c1",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Oferty pracy na stanowisko Machine Learning Developer w Australii i USA\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"### Institute of Data\n",
|
||||
"Location: **Melbourne**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- You have previous data science or engineering teaching experience, through a course, workshop, team training, meetups etc.\n",
|
||||
"- You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.\n",
|
||||
"- You have at least 3 years of professional data science experience.\n",
|
||||
"- You are an expert in SQL, Python, and related Python libraries (pandas, numpy).\n",
|
||||
"- You have domain expertise in statistics, mathematics, and probability.\n",
|
||||
"- You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels.\n",
|
||||
"- You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.\n",
|
||||
"- You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.\n",
|
||||
"- You are the person your colleagues naturally gravitate to when they are trying to figure something out.\n",
|
||||
"\n",
|
||||
"Additionally:\n",
|
||||
"- You have proficiency with python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R.\n",
|
||||
"- You are on top of industry trends in big data, machine learning, deep learning, and AI.\n",
|
||||
"- Management and/or director experience in a small business or team\n",
|
||||
"- Relevant data professional certification.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Kinexus\n",
|
||||
"Location: **South Australia**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Qualifications in Software Engineering.\n",
|
||||
"- Proven experience with Machine Learning.\n",
|
||||
"- Minimum of 3 years of experience in a similar role.\n",
|
||||
"- Experience with Python 3.6;\n",
|
||||
"- PyTorch/TensorFlow\n",
|
||||
"- NumPy, Pandas, matplotlib\n",
|
||||
"- Open CV, Pillow.\n",
|
||||
"- Experience with the software development lifecycle.\n",
|
||||
"- Experience working with Linux & Bash.\n",
|
||||
"- Experience with Docker.\n",
|
||||
"- Source code revision control system knowledge (GIT).\n",
|
||||
"- Experience working with SQL.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Talenza\n",
|
||||
"Location: **Sydney**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- A bachelor's degree in Computer Science or related field.\n",
|
||||
"- 3-5 years' experience working with cloud-base services and DevOps concepts, tools and practices\n",
|
||||
"- Experience with: Unix/AIX/Linux environments, Kubernetes, Docker, Azure Kubernetes service\n",
|
||||
"- Scripting and coding using Python, Shell\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Clobotics\n",
|
||||
"Location: **Bellevue, WA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Rich Experience working with TensorFlow and/or Pytorch\n",
|
||||
"- Deep knowledge of deep learning techniques in object detection, image classification, or video tracking\n",
|
||||
"- Strong written and verbal communications skills\n",
|
||||
"- MS with 5+ years of related experience or Ph.D. is preferred.\n",
|
||||
"\n",
|
||||
"Additionally;\n",
|
||||
"- Knowledge of parallel computing, OpenCL, CUDA, GPGPU\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Correlate Resources\n",
|
||||
"Location: **Sydney**\n",
|
||||
"\n",
|
||||
"Required: \n",
|
||||
"- Bachelor or above degree in Computer Science\n",
|
||||
"- 8+ years of commercial software development experience\n",
|
||||
"- Good communication and stakeholder management skills\n",
|
||||
"- Strong Python, SQL and Linux\n",
|
||||
"- Kubernetes experience\n",
|
||||
"- Solid experience with streaming technologies like Kafka, Pubsub or Kinesis\n",
|
||||
"- Practical knowledge of various classes of ML algorithms, techniques and packages\n",
|
||||
"- Experience of designing and implementing complex cloud solutions\n",
|
||||
" \n",
|
||||
"Additionally:\n",
|
||||
"- Experience of building production grade ML feature stores, model stores or ML pipelines in GCP or AWS\n",
|
||||
"- GCP Cloud Engineer or above level of certification\n",
|
||||
"- Solid ML Ops, SRE or DevOps experience\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Talent Insights Group Pty Ltd\n",
|
||||
"Location: **Sydney**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- A minimum of 3 years of professional experience in Machine Learning Engineering with a modern stack\n",
|
||||
"- A Computer Science degree at a Bachelor's level or beyond\n",
|
||||
"- Strong data pipeline and machine learning pipeline experience with big data\n",
|
||||
"- Good communication skills and confidence in sharing and presenting ideas with senior engineers and data scientists\n",
|
||||
"- Python, SQL, Spark, Google Cloud Platform, Kubernetes / Argo / Kubeflow, Kafka/PubSub\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Discord\n",
|
||||
"Location: **San Francisco, CA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Python \n",
|
||||
"- Scala\n",
|
||||
"- Rust\n",
|
||||
"- 4 years of experience \n",
|
||||
"- Ph.D.\n",
|
||||
"- Pytorch/Tensorflow\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Change Healthcare\n",
|
||||
"Location: **Seattle, WA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- MS degree in computer science or equivalent background\n",
|
||||
"- 5+ years professional experience building and operating scalable distributed systems across the full software lifecycle including design, implementation, testing, operations, and maintenance.\n",
|
||||
"- Programming experience in one or more modern programming languages such as Java, Python, Scala or C++. \n",
|
||||
"- Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, GCP, Kafka, Apache Spark, Hadoop, SQL).\n",
|
||||
"- Experience in foundational machine learning models and concepts: regression, random forest, boosting, HMM, CRFs, MRFs, deep learning is a plus\n",
|
||||
"- Experience with common machine learning libraries and tools: scikit-learn, Tensorflow, XGBoost is a plus\n",
|
||||
"- Prior experience in Healthcare AI is Big plus\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Amazon \n",
|
||||
"Location: **Seattle, WA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design\n",
|
||||
"- 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems\n",
|
||||
"- 4+ years of professional software development experience\n",
|
||||
"- Proficiency with Deep Learning algorithms and packages\n",
|
||||
"- Proficiency with AWS tools\n",
|
||||
"- Proficiency with Java, SQL and Spark\n",
|
||||
"- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs\n",
|
||||
"- Experience building complex software systems that have been successfully delivered to customers.\n",
|
||||
"- Success delivering products/services in a high-growth environment, exhibiting strong ability to identify and solve ambiguous customer-focused problems.\n",
|
||||
"- Experience in any one or more of the following areas: distributed systems, artificial intelligence, full-stack development.\n",
|
||||
"- Knowledge of professional software engineering best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.\n",
|
||||
"- Strong track record of helping build productive and successful software development teams, actively developing talent.\n",
|
||||
"- Ability to take raw product requirements and create software architecture, design, and code to bring them to life.\n",
|
||||
"- High attention to detail with proven ability to juggle multiple, competing priorities simultaneously and make things happen in a fast-paced, dynamic environment.\n",
|
||||
"- Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Product Management, and Senior Leadership.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Apple\n",
|
||||
"Location: Seattle, WA\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- 5+ years of professional work experience developing systems for automatic speech recognition (ASR), speech synthesis, and natural language understanding\n",
|
||||
"- Excellent programming skills in Python\n",
|
||||
"- Extensive experience with machine learning frameworks like Tensorflow, PyTorch\n",
|
||||
"- Good experience with large-scale data processing and distributed systems\n",
|
||||
"- Excellent problem solving, critical thinking, and communication skills.\n",
|
||||
"- Excellent data analytical skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis\n",
|
||||
"- B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering in the area of Speech/Language Processing or Machine Learning\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Credit Karma\n",
|
||||
"Location: **Oakland, CA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 5 years of experience involving: application of cloud technologies, infrastructure, and application of distributed systems\n",
|
||||
"- Deep knowledge of personalization and recommendations systems\n",
|
||||
"- Building and operating machine learning platform\n",
|
||||
"\n",
|
||||
"Additionally:\n",
|
||||
"- Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field\n",
|
||||
"- Modern data technologies include technologies such as in-memory, distributed and serverless processing (e.g. spark/dataflow/cloud-functions), key/value vs. document vs. column oriented datastores (e.g. bigquery, bigtable, cloud-search), message queues (kafka/pub-sub), elastic scaling (kubernetes, instance-groups), etc\n",
|
||||
"- Modern machine learning and optimization technologies include familiarity with toolkits like sklearn, scipy, tensorflow and pytorch\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Snowflake\n",
|
||||
"Location: **Bellevue, WA**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- 7+ years industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks.\n",
|
||||
"- Extremely strong fundamental computer science skills, particularly computer systems (e.g., distributed systems, database systems).\n",
|
||||
"- Deep fluency in Python and C++. Java experience is a plus.\n",
|
||||
"- Ability to work in a team environment, collaborate well, and mentor junior engineers.\n",
|
||||
"- Experience planning complex projects with cross-functional dependencies.\n",
|
||||
"- Ability to work on-site in our downtown Bellevue office.\n",
|
||||
"- Advanced degree in Computer Science.\n",
|
||||
"\n",
|
||||
"Additionally:\n",
|
||||
"- Experience in building machine learning training platforms\n",
|
||||
"- Experience in building machine learning data and feature platforms\n",
|
||||
"- Experience in building machine learning prediction platforms\n",
|
||||
"- Experience building lineage and metadata systems\n",
|
||||
"- Data warehouse design, database systems, and large-scale data processing solutions.\n",
|
||||
"- Experience in adapting machine learning techniques to highly parallel and distributed environments.\n",
|
||||
"- Experience with common ML frameworks such as Spark, MLlib, Tensorflow, Pytorch, XGBoost, or scikit-learn.\n",
|
||||
"- MS or PhD degree in Computer Science with specialization in Artificial Intelligence, Machine Learning, or related technical field.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### Pearson\n",
|
||||
"Location: **Bismarck, ND**\n",
|
||||
"\n",
|
||||
"Required:\n",
|
||||
"- MS or PhD in a quantitative field (CS, EE, statistics, math, data science) required\n",
|
||||
"- 5 years experience in the field of natural language processing (NLP)\n",
|
||||
"- 5 years professional experience as a software engineer or data scientist\n",
|
||||
"- Strong coding capabilities in Python and/or R\n",
|
||||
"- Experience with Linux and AWS\n",
|
||||
"- Proven ability to build neural networking models for natural language applications\n",
|
||||
"- 5 years experience TensorFlow, PyTorch or Keras\n",
|
||||
"- Strong in using Jupyter notebooks for research and data analytics\n",
|
||||
"\n",
|
||||
"Additionally:\n",
|
||||
"- Kubernetes"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.8"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
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Prezentacja/przeglad_rynku_pracy.pptx
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Prezentacja/~$przeglad_rynku_pracy.pptx
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Loading…
Reference in New Issue
Block a user