We are looking for experts or a team of experts (agency) with expertise doing data science / analytics and building machine learning models for large-scale data sets and enterprise environments.
We need expertise across a wide range of functions / verticals, including: price predictions, product & content recommendation systems, customer segmentation & analytics, text mining & NLP, computer vision, and speech recognition / transcription.
Industries we work in include financial services, manufacturing & supply chain logistics, and
In this role, you will be part of a dynamic team of high performing professionals to develop recommendation classification models and algorithms. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make the system smart. You will be working on a cross-functional team with a Product Manager, UX designer, devops specialist, machine learning engineers, and software engineers. You’ll be part of a team that is user focused, has a mentality for experimentation, and iterates quickly.
Develop robust, scalable production data science products based on prototype algorithms developed in Python or R by the data science R&D team. You’ll evaluate trade-offs and do performance tuning for production environments.
Iterate, and innovate on Machine Learning algorithms in collaboration with Machine Learning Engineers and Software Engineers
Collect, process and cleanse data from a wide variety of sources. Transform and convert unstructured data set into structured data for algorithm input
Strong foundation in Machine Learning and Computer Science and an understanding of applied statistics and math. You also have a broad understanding of state of the art in Machine Learning.
Experience in Natural Language Processing, Knowledge Representation & Reasoning, and/or
Machine Learning, using Python, C++, Caffe, Tensorflow, and other Open Source Libraries
Experience in developing optimized analytical software and in processing very large data sets
Capable of managing your time well and working efficiently and independently
Experience building production services and/or models, preferably as part of a product development team
Can describe and speak in an approachable way about complex analyses and concepts within a cross-functional team. You are a great “analytic translator”
Be sure to include the words "cost function" at the very beginning of your application to indicate you have read through the requirements. Applications without this detail will be ignored. Be sure to answer the screening questions thoroughly as well:
1) Send us links to case studies (or blog posts or other collateral) that describe in detail the work you've done for previous clients. We prefer candidates who have at least 3-5 minimum in their portfolio. In these case studies, be sure to mention the business problem clearly and what the outcome was for the customer (i.e. ROI)
2) What has been the most difficult data science / machine learning problem you've worked on? What made the problem so challenging and how did you overcome it?
3) List all technologies you're proficient in along with a rating of 1-10, where 1 is beginner and 10 is expert.
4) Provide the contact information for at least one former customer who can be a reference for your previous work. We will be following up on these for all freelancers we hire.
More than 30 hrs/week
More than 3 months3+ monthsProject LengthDuration
I am looking for freelancers with the lowest rates