Machine Learning Jobs

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Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
CEO is looking for an experienced developer who can build a machine learning chat-bot. The developer must be familiar and knowledge about programs such as ChatFuel and API. AI.You should be also familiar with Facebook Messenger and IBM Watson. CEO will provide the use case and user story. Upon finding the right candidate, I will send over NDA for review and developer must contact us with their portfolio of any bots you have built in the past. I am looking to develop chat bot ASAP and should be built in 2 months Also it would be helpful if you have some background in Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP). • API Integration Required: Social Media • Project Stage: Concept • One-time Project: Install/Integrate Software • Project Type: One-time project • Programming Languages Required: Facebook Javascript (FBJS) API Development • Other Skills: Artificial Intelligence Facebook Development JavaScript Machine learningNatural language processing • We are looking for a software developer to develop a rule-based chatbot prototype for WeChat, which can be easily extended to support other messaging apps such as Facebook and Slack. You will be asked to answer the following questions when submitting a proposal: 1. Please, describe your experience in building chatbots? 2. Why do you think you are a good candidate for this job? 3. Which platform do you recommend? • Other Skills: Chatbot Development Live Chat Software Web design Website Development
Skills: Machine learning Artificial Intelligence Facebook Javascript (FBJS) Social Media Management
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
The work will consist of consulting engineers in computer vision. We are a young company that is engaged in computer vision. Our current project is related to traffic analytics. We have three main tasks: 1. Optical speed calculation; 2. License plate (LP) detection and recognition; 3. Traffic light detection and recognition of current light color. Currently we have problems with symbol recognition of dirty LPs. (See examples of plates and our results in attachment) We already created some prototype for optical speed calculation, but we have some questions. Time of consulting Appropriate time for consulting is between 6-10 PM (GMT+6). In average each session will hold 2-3 hours. We need only real time conversation (consulting). Workload: 2-3 hours in a day, 3-5 days in week. Deadline of our project 28 Nov.
Skills: Machine learning Computer vision OpenCV Python
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for someone to conduct analysis on the game BustaBit ( to determine an optimal strategy given a) The game rules and the bonus system, which allows one have +EV when playing under the right conditions b) Other player's historical playing data. I anticipate having about 30GB of player/game data to analyze and am looking for machine learning methods / analysis (and possibly a neural network?)
Skills: Machine learning Artificial Neural Networks Data Analytics Data mining
Hourly - Entry Level ($) - Est. Time: Less than 1 month, 30+ hrs/week - Posted
We are looking for someone who has good expertise over predictionIO ( which is ML server. It is long term project, candidate having prior experience on predictionIO will be preferred. Please share your previous work while sending your cover letter
Skills: Machine learning
Hourly - Entry Level ($) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
OVERVIEW We need an experienced computer engineer, data scientist or statistical analyst to help construct a natural language model for a set of semantic text and corresponding psychometric data. DETAILS We have a data set of individuals who have completed a) psychological profiles and b) prompted essays, and we would like to build a natural language dictionary / semantic text engine which would be capable of showing the types of words used by those who are high or low on certain scores in the psychological profiles. Without specific experience building a model such as this, we think we could base the process on that used to develop the engine of the World WellBeing Project ( They describe their process here: and here: DELIVERABLES Complete natural language dictionary for each psychometric measure of interest Complete report highlighting findings & word correlations APPLICATIONS Please do not waste our time with your favourite statistics formula, or the name of your employer or degree - all we want to know initially, in order to select people for interview stage, is answers to the following questions: - how you would go about building this model - the minimum number of records you would need to build it - how you would present the results - any further recommendations
Skills: Machine learning Analytics Data mining IBM SPSS
Hourly - Intermediate ($$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
I work at a self-paced, Python data science bootcamp. We are looking to expand our mentor capacity. Students go through pre-recorded lectures, assignments and complete projects. Depending on their desired pace, they select a track. The 12 month track has 1 mentor meeting a week, the 6 month track has 2 a week, and the 3 month track has 4 per week. You may have heard of Springboard ( We are similar to them, but we have a thorough 500-800 hour curriculum meant for already highly technical people to transition careers. A comparable company in the web development space is ( Compensation: $50 per hour Mentor Responsibilities - Video chat with students on a weekly basis via Skype or Google Hangouts - Help with any questions that may arise - Lead the job support prep (review resume, cover letter, github, linkedin, mock phone screens and practice technical interviews) Other Info - You can start off with 1 student, but easily take on more depending on your schedule - We will have a community slack channel with 2 full-time TA's if students have questions in-between mentor meetings - Each 45-min meeting will be paid as an hour to encompass any prep, follow-up or emailed questions in between
Skills: Machine learning Data Science Python
Hourly - Expert ($$$) - Est. Time: More than 6 months, 30+ hrs/week - Posted
Online tutor for Machine Learning and Algorithms for Genomics course for almost blind bioinformatics graduate student needed Hallo I am a severely visually impaired student. My eyesight is not good enough to see the projector in class but all the class material is freely available online. To access the course material for this class, please follow the steps below: 1) Go to the course website, which is 2) Switch language to English by clicking on the fourth pull-down menu from the left (= most right pull down menu), which is shown with white font on dark blue background. It may be set to German since it is a German website. Then it would say at this pull down menu “Deutsch (de)’. Just click onto the white arrow to the right and select English (en). 3) The course name should read: “Machine Learning and Algorithms for Genomics” 4) Go to the bottom of the page it says Guest access 5) In the box, above which it says Guest access key, type the access key for this course, which is MLGenomics16 6) Press on the Submit button at the bottom of the page and you can see all the course materials. 7) If you are having trouble accessing the course material but would like to take a look at it in order to decide whether you’d like to teach it to me please contact me so that we can access the course website remotely together. In case you feel it is too complicated to access the course material below is the syllabus of what will be covered in this course: 1) Week 1: Introduction • Classification + background (probability, biology) 2) Week 2: Probabilistic, generative models • Weight matrices and other sequence motif models • Chomsky hierarchy and stochastic grammars: Markov chain models • Hidden Markov Models: parsing + applications (gene finding, protein domains: annotation of genomes & proteomes) 3) Week 3: Generative models (cont.) • HMMs: training + applications • Motif finding: overview & probabilistic approaches (EM & Gibbs sampling) • Enumerative algorithms 4) Week 4: Deep sequencing data • Data structures and read alignments • Peak calling, transcript annotation & gene expression 21 Syllabus 5) Week 5: From generative models to probabilistic networks • RNA structure prediction & RNA genes • Gene expression networks, hierarchical Bayes 6) Week 6: Discriminative approaches I • Support Vector Machines: theoretical foundations • SVMs: applications and sequence kernels • Random Forests 7) Week 7: Discriminative approaches II • Dimensionality reduction & unsupervised learning • Deep learning My math, statistics and programming knowledge is very limited since I am a molecular biologist by training. I just recently had to switch to bioinformatics because my vision had worsened to a point that I could no longer perform wet-lab work efficiently under time pressure. That is why I am looking for a very patient tutor, who is willing to take the time to teach me how to apply all the concepts taught in this course and who could potentially assist me in writing a proposal about how to apply machine learning techniques to make new discoveries I thank you very much in advance for considering taking your time to assist me in learning the skills and techniques needed for earning a PhD in bioinformatics despite me being almost blind. I am very much looking forward to discuss more details with you soon. Best regards Thomas
Skills: Machine learning Statistical Computing Statistics
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Looking for a skills/experienced Tensor Flow/Python engineer to work on a 2 month proof of concept. Work can be done remotely. Project starts in 2 weeks (1st week of November). We will provide business domain and subject matter experts, so primarily looking for a very strong technical resource. There is a possibility of the project being extended, if POC is successful and we see a huge benefit from applying machine learning techniques. Will require references, credential checks will be conducted, and prior work portfolio reviewed. Only strong candidates with requisite hands-on project experience and strong technical and communication please.
Skills: Machine learning Deep Learning Python
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We have data that we have collected from smartphones and smartwatches into a MySQL database. We need you to create an algorithm that will accurately identify a particular pattern of accelerometer (x, y and z) data (typically 30 seconds to a few minutes of data) from the rest of the data. After that, we will want you to create another algorithm that will continuously review the data from each mobile phone and smartwatch and which will modify the detection algorithm for each such device.
Skills: Machine learning Artificial Neural Networks Deep Neural Networks