Machine Learning Jobs

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Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
If you are a Lead Computer Vision / Machine Learning Engineer with 2+ year's of experience, looking to join a mobile app publishing firm building the next generation cloud-based machine learning and computer vision mobile apps, please read on. We are interviewing and looking to hire this person immediately. You will be implementing and improving on existing source codes. Implementation is easy and what we are really looking for is people who know how to improve and help develop software and algorithms for neural networks. Here are the codes: Please reply to this job post with code word "Zebra" so I know you bother reading through this job post.
Skills: Machine learning Artificial Intelligence Computer vision Deep Neural Networks
Fixed-Price - Expert ($$$) - Est. Budget: $50 - Posted
Looking for: Experienced MT4 EA developer to build an EA using the Encog Machine Learning Framework. The EA should use unsupervised machine learning to evaluate the price action of previous candlestick bars and make a prediction in the form of probability as to what the future price might be; before executing the corresponding BUY or SELL open order. If you can do this, do contact me with: 1. your solution. 2. estimated timeline. 3. If my offer is too low, offer me your best price. References:
Skills: Machine learning C# C++ Java
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
Looking for an experienced Computer Vision / Neural Network expert who can write algorithms and train neural network for a 3-6 month project. You will work with a team of iOS developers to build a mobile app that makes use of neural network. You must be experienced in python, LUA and all languages related to neural network. You must have knowledge on improving and writing algorithms, scaling the network, training the network so that it produces decent results that we want. Here is the souce code you will be improving: Please reply with code word "Falcon" so that i know you have read the job post.
Skills: Machine learning Artificial Neural Networks Computer vision Deep Learning
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I am looking for a programmer to help create a custom program. The goal of the program is to search relevant terms (5000+ very specific terms) and determine when the those terms are "trending" and what the sentiment of those terms are relating to financial sentiment. For example if a stock ticker symbol is "trending up" in google searches and also the sentiment from various specific websites is positive. Also need to scrape and parse a live twitter feed data stream I already have. The tools used are various API's with google trends, custom code, some other custom APIs or scraping for particular websites, possibly something like Power BI as a front end to display and alert data.
Skills: Machine learning Data Analytics Data scraping Google Analytics
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
We are data science consulting company based in California We are looking for 4 freelance data scientist for our consulting clients If you have good knowledge of R or Python and specialized in any of Machine learning area with business domains like Real Estate , Marketing, Sports, Social Media, web analytics, NLP , Recommendation models . Reinforcement Learning, Expert Systems in AI. Please apply with sample project sharing. The selection will be based on you knowledge and experience in specific projects.
Skills: Machine learning Algorithms Apache Spark Artificial Intelligence
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Looking for an experienced developer to use MonkeyLearn or a similar platform to analyze and tag a set of 60,000+ snippets of text. I'd provide CSV files with the data, and I would like an api to be able to do this to other snippets future: 1 - cut up the data into smaller paragraphs where it makes sense 2 - get rid of useless data 3 - tag each paragraph with the company they refer to and the relevant tags from a) list 1 b) list 2 c) other relevant tags from the paragraph (pull out important words depending on context like "china", "self-driving cars", etc.) 4 - apply a sentiment rating from 1 (negative) to 10 (positive) to each snippet OUTPUT: 1 - csv file with following columns: company, snippet, tags from list 1, tags from list 2, context tags, sentiment rating 2 - api to be able to analyze future snippets here is the logic tree for the 1 of the 2 lists: This is for the first section (keyword: and similar words triggering the keyword) {​"Revenue": ["revenue","sale","market","growth","product","expand","expansion","diversify","export"],"Gross Margin": ["gross margin","margin","variable","input","material","gross profit","variable cost","cogs","cost of goods sold"],"Wages": ["wages","salary","salaries","workforce","payroll","personnel","people","layoff","cut"],"Costs": ["costs","cost","expense","SG&A","selling cost","administrative cost","expense","fixed cost","spend"],"M&A": ["m&a","merger","acquisition","acquire","consolidate","integrate","target","prospect","inorganic"],"Capex": ["capex","capital","expenditure","property","equipment","maintenance","machine","plant","replaced"],"Debt": ["debt","leverage","credit","revolver","subordinate","tranche","repayment","borrow","lend"],"Regulations": ["regulations","regulation","legal","legislation","approval","law","restriction","government","regulate"],"Technological disruption": ["technological disruption","self driving","autonomous","drone","bot","disruption","revolution","technology","innovation"],"competition": ["competition","competitor","compete","rival","market share","churn","customer loss","share of wallet","share"],"expansion": ["expansion","open new","expand","build"],"compensation": ["compensation","compensate","raise","options","pay"],"Growth": ["growth","grow"],"dividend": ["dividend"],"sustainability": ["sustainability","sustainable","environmental"],"board": ["board","director"],"cost of capital": ["cost of capital"],"management": ["management","executive","exec"],"buy": ["buy","invest","cheap","undervalue","upside","valuation"],"sell": ["sell","short","expensive","overvalue","downside","valuation"],"shareholders": ["shareholders","shareholder","investor"],"investment": ["investment"],"industry": ["industry"],"Suppliers": ["suppliers","supplier"],"succession": ["succession","replace"],"risk": ["risk","threat"],"invested capital": ["invested capital","capital","expenditure","property","equipment","maintenance","machine","plant","replaced"],"profitability": ["profitability","profit"],"market share": ["market share","competitor","compete","rival","market share","churn","customer loss","share of wallet","share"]}​
Skills: Machine learning Data Science
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
We need an experienced developer to write code which can do this: Suppose that we have a database with URLs from the internet. Dataset : url, crawled, validated, rating 0. If dataset is empty, exit. Else, fetch a entry from db. 1. If entry has attribute "validated:yes" goto 0, else continue. 2. Fetch the site using URL. 3. Process the site's content using pattern recognition(Explained below) 4. If successful, mark "validated:yes, confidence:<<output from ANN>>, else mark "validated:error". 5. Goto 0. Pattern recognition: Whenever the parser finds word "free", "trial", "free trial", "basic", "introductory", "$0" or similar terms on the page, that page should be given a good confidence rating. Choice of programming language is left open. If anything is unclear, please let me know.
Skills: Machine learning Artificial Neural Networks Pattern recognition
Fixed-Price - Expert ($$$) - Est. Budget: $500 - Posted
We are looking for an experienced developer in speech recognition to set up a server for speech transcription (we will provide a virtual machine in the cloud). We will need to pass via web services to the server an .mp3 file and the server will return the trancription in text, XML, SRT or CTM format. Languages needed are english british, english america, spanish (spain), italian and spanish latin america. Ability to add additional languages will be a plus. Candidate will need to document the setting of the server components for troubleshooting and operations. OS preferred are Centos or Windows. Please do not apply if you have not done this before or if you have no idea on how to deliver this in a timely matter. To apply please write in the Cover "I know how to transcribe automatically". You will also need to describe what technology you pretend to use for the server (ie: deep learning, neural networks, etc) and how long it will take for you the setup and preparation to deliver the server.
Skills: Machine learning Artificial Intelligence Artificial Neural Networks Interactive Voice Response
Fixed-Price - Expert ($$$) - Est. Budget: $375 - Posted
we are looking for a 5 years experienced data scientist at maximum range for this project. you are willing to do so:- • Clarify the business problem for the purpose of data analysis. • Translate the business requirements into technical requirements. • Translate the requirements into existing advanced analytic functions or help design new functions with MapReduce or other software to meet the requirements. • Work closely with the client teams to generate insights, diagnose problems, and provide information for business and product decisions by transforming very large data sets into actionable information. • Build and maintain tools and documentation to enable the consumption of data by the platform team and the entire company. • Perform both regular and ad-hoc analysis leveraging a wide array of data tools. • Interpret and document the analysis and results, and communicate the information effectively to the client.
Skills: Machine learning Algorithm Development Data Analytics Data mining