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ML Engineer to create recipe parsing algorithm

$250-750 USD

Closed
Posted about 4 years ago

$250-750 USD

Paid on delivery
Looking for a machine learning engineer to develop a robust model that will: Using language models/NLP/NLU, or related algorithms, and: - Given unstructured recipes extracted as text, or text arrays (e.g. one ingredient per line) - Extract the ingredients, associated quantities, and other elements of the individual recipe / instructions. - Provide the working model wrapped in an API interface that will accept a text blob or array of ingredients and instructions containing the recipe, and return the resultant list of ingredients/quantities, instructions. Said model should be hostable (preferably with an easy install/docker-compose script) on an AWS EC2 or Azure VM (Linux based). Some completion / acceptance requirements: Ingredient parsing must occur at greater than 70% accuracy. API response time (from recipe submitted to response at client) must be < 10s API must be able to handle 100 requests per second (peak). (We will build out/provide the production infrastructure and environment) All documentation, source, models (including installation), and unencumbered intellectual property must be provided. Common cyber security standards must be applied. Any dependencies must not have known vulnerabilities (e.g. CVEs). We will provide: 1) A training/test corpus of recipes 2) A list of ingredients/quantities from our existing ingredients set. 3) Training data in the form of already extracted ingredients/quantities from recipes (recipes and results) that were performed manually (about 2000 recipes). Documentation on the implementation/installation of the environment, and all original models, work products and everything we need to continue on this effort will be required. In your proposal - please indicate timeline, costs, requirements from us, delivery format, your background/portfolio, and any thoughts on the feasibility of this project. Proposals which do not include clear evidence that the bidder has read these requirements will be immediately discarded. Apologies. Please bid the actual amount you are willing to provide this project for. [Note] Must contain job history portfolio or url similar to this.
Project ID: 23979278

About the project

5 proposals
Remote project
Active 4 yrs ago

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5 freelancers are bidding on average $811 USD for this job
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I have extensive experience in the domains of:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ Matlab  Asterisks PBX  NS3 simulation  Linux While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch, STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm, NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM, FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA. We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.
$500 USD in 7 days
4.6 (1 review)
3.5
3.5
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Hi , I would have immense pleasure to work with you on this project. I am a Data Scientist, Machine Learning Engineer with expertise in Deep Learning & Computer Vision. I am also an A.I. Researcher & a Python Expert. I have done Researches & Projects in my Masters in field of A.I & Analytics, also being the First Prize Winner of Microsoft A.I Hackathon. I have a Professional Experience developing Business ML Models for an Automobile Industry for more than an year now. Also I have built models for Banks , Marts, Institutes, MNCs, Grocery Stores, etc. , also completing Projects with many clients , represented in Client Visits and Webinars in Corporate. My solutions have recieved appreciations. I have also done Innovation Projects with U.S clients in field of Deep Learning . My team was in Semi-Finalists in a U.S based competition . I have worked with all technologies in this field like Tensorflow, Theano, Pytorch, etc. I know a huge bunch Classification , Regression & Clustering Algorithms including Supervised & Unsupervised learning both like - Linear Regression, Decision Trees, Random Forest, Naive Bayes , KNN ,SVM etc. , also dimensionality reduction techniques like PCA & LDA . I also have expertise in Model Selection, Boosting, Regularisation Techniques & Predictive modeling. I have a good hands in NLP developed Search Engines , Sentiment Analysis & many A.I Bots . Built many models for Face Recognition , Object Detection , Image manipulation.
$750 USD in 28 days
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Flag of UNITED STATES
Dallas, United States
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Member since Feb 17, 2020

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