"Job Description\n\nResponsibilities \n- Develop Machine Learning Models \n- Develop CNN models with Tensorflow \n- Develop UI using latest technologies\n\nDesired Skills \n- We use Python, Go, Tensorflow, Docker, and PostgreSQL, but frequently change technologies and learn new skills very quickly \n- Experience with SQL databases is a plus \n- Passionate about clean, well-documented code with unit tests \n- Knowledge of functional programming is a plus\n\nDesired Personal Qualities \n- Proactive. \n- Future optimistic. \n- Positive. \n- Correct. \n- Passionate. \n- Insane. Contrarian. \n- Honest. Trustworthy."
"We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills:\n\nExperience using statistical computer languages (R, Python etc.) to manipulate data and draw\ninsights from large data sets.\nShould have strong programming & Good applied statistics skills, such as distributions, statistical\ntesting, regression, etc.\nKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial\nneural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive\nBayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component\nanalysis.\nExperience using natural language processing techniques and Deep Learning using TensorFlow\nwill be a plus.\nShould have minimum 5 years of relevant work experience."
"Tagove is new online communication software that reinvents the relationship between customers and companies. It aims to re-create face-to-face communication by offering live text chat, voice and video call, as well as screen sharing and co-browsing capabilities.\nTagove allows businesses to communicate more effectively with their customers and increase sales/conversions, and inevitably, a better customer experience"
"Job Role\nDevelop and refine algorithms for machine learning from large datasets.\nWrite offline as well as efficient runtime programs for meaning extraction and real-time response systems.\nDevelop and improve Ad-Targeting based on various criteria like demographics, location, user-interests and many more.\nDesign and develop techniques for handling real-time budget and campaign updates.\nBe open to learning new technologies.\nCollaborate with team members in building products\nSkills Required\nMS/PhD in Computer Science or other highly quantitative field\nMinimum 8 - 10 yrs of hands on experience in different machine-learning techniques\nStrong expertise in Big-data processing\n(Combination of the technologies you should be familiar with Kafka, Storm, Logstash, ElasticSearch, Hadoop, Spark)\nStrong coding skills in at-least one object-oriented programming language (e.g. Java, Python)\nStrong problem solving and analytical ability\nPrior 3+ year experience in advertising technology is preferred"