SD (ML and AI) job description:Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )Extensive data modeling and data architecture skillsProgramming experience in Python, RBackground in machine learning frameworks such as TensorFlow or KerasKnowledge of Hadoop or another distributed computing systemsExperience working in an Agile environmentAdvanced math skills (Linear algebraDiscrete mathDifferential equations (ODEs and numerical)Theory of statistics 1Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)Abstract algebraNumber theoryReal analysisComplex analysisIntermediate analysis (point set topology)) ( important )Strong written and verbal communicationsHands on experience on NLP and NLGExperience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
Responsibilities: Model the problem into a DL framework Build, measure and iterate on neural network architectures that effectively solve the problem Benchmark, validate and test the solution for real-world environments Optimise the solution for accuracy and performance Requirements: Skill(s) required: Experience with Deep Learning Programming. Absolutely thorough and hands on with Supervised learning, Unsupervised learning, Reinforcement Learning, Classification & Regression, Knowledge Representation techniques, Ensemble Learning Have relevant skills and interests in ML/AI space Have prior knowledge and experience with Deep Learning for image/video related problems Good to have: hands-on experience with Tensorflow and Python Good to have: Has done Deep Learning courses, perhaps on MOOCs such as Coursera, Udacity, etc
Fast growing AI startup: We are looking for an Python & Django developer to be part of our core engineering team. You will work on core modules of our application, and also would be expected to develop new modules from scratch. Responsibilities Work closely with engineering and product managers to detail the engineering scope. Develop different modules of the product from scratch Develop robust AI and NLP algorithms to solve customer problems Follow coding standards Ensure the code developed is fully functional and bug free Collaborate with other team members and stakeholders Skills And Qualifications Yrs of experience: 3+ yrs on Python and Django Proficient understanding and hands on experience on Python and Django Proficient understanding and hands on experience on Data structures and algorithms Proficient understanding and hands on experience on Object Oriented Programming Very good problem solving capabilities and aptitude Good to have - Experience in Machine Learning and Natural Language Processing (NLP) Good team player with drive to achieve more Passion to be core member of a fast growing startup
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.
You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.