We are seeking a Principal Platform Architect to help us build the most robust platform for Digital Onboarding of customers. Working closely with the founding team, we are looking for someone who enjoys solving hard problems, building teams, coaching engineers on writing highly scalable code, can write code themselves, have a know how of latest technologies and scalable architectures. You will be the inspiration for the technical team and inspire them continuously to improve the architecture. You will guide the technical approaches for several projects at once, working with our engineers to craft a system that's scalable, reliable and delightful to our customers. Responsibilities: Own software architecture and technical approach across the platform. Design and architect distributed scalable systems. Lead the overall architecture of all products across Zoop.one and also lead the data team. Recruit, Motivate, Develop, Strengthen the product engineering team. Build a team that projects Zoop.one as a highly tech driven company because that's what we aim to be. Mentor and lead the engineering team as a subject matter expert for all technology and architecture related issues. Collaborate with the engineering team to drive key design decisions, document / communicate architectural expectations and ensuring alignment. Help streamline processes, timelines, work assignments and reviews. Hold engineers to the highest expectations, and provide feedback on code and architectural approaches implemented by the team. Help teams disassemble and address complex technical issues. Know the latest industry trends, and evaluate new technologies for appropriateness of applications. Ensure software components have a clear separation of concerns and are designed for reusability or easy scaling. Experience and Qualification: 5+ Years of experience building highly performant software applications. 2+ Years of experience in a architect role with computer science or equivalent engineering degree. Excellent Programming Skills Substantial experience in building distributed SAAS systems. Should have worked on a high scale system or should have managed one. Should have experience building fault-tolerant systems having 99.9% availability. Should have experience building supporting systems like billing, monitoring, auditing etc. Should have experience working with/building a B2C application backend that scales and adapts quickly to the market demands. Customer-first and result-first mindset and ability to make practical choices. Core Competencies: Experience building technology teams in past. Ability to work in a fast-paced, start-up environment Ability to work with business and technology stakeholders to translate business problems into technical designs Ability to look beyond the immediate technical problem and identify the wider implications Team player. Proven ability to lead in a collaborative manner Strong communication, presentation and interpersonal skills Good To Have: Strong knowledge of Nodejs and Go. Experience working with Image analysis, AI & ML Experience designing a robust graph data model Experience designing rule based engines and/or risk platforms
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.