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.
Whom we are looking for: After becoming a sustainable Startup, We have now refocused our Technology teams to work exclusively on client technologies while embarking on the journey of multi-tenant, friction-less, global, cloud-based & scalable products. We are currently re-engineering and rebranding our Startup to take the next leap. If you have worked on large scale tech products, have keen professional pride in delivering top quality products to users and love to code and can coach/mentor and upskill other engineers then you will love this position. If you have worked either in Reg-Tech and/or Risk-Tech, there is a big chance we are made for each other. Our Hiring Philosophy: • Can do Attitude. • Learning/Growth Mindset. • Willing to start small and build a talented team along the way. • Commitment to Excellence and Dedication. Roles and Responsibility: • Lead the entire back-end and front-end technology team and act as the go-to resource with in-depth knowledge of technology and product best practices and standards. • Build scalable backend product architecture that scales through millions of transactions per day. • Build support systems for monitoring, billing, administration, etc. • Acting as a single person of contact for the entire product vertical and liaising with the business team to aid the business needs. • Directly Responsible for the user experience on the platform. Willingness to learn new technologies as required and able to incorporate machine-learning, AI and Big data as the product evolves. • Responsible for validating the technical feasibility of product ideas, and suggesting likely technical platforms and build-buy options for such ideas. • Plan and set up a smooth development cycle for getting features from user stories to products. • Responsible for building deep tech products related to Face Biometrics, Image Forensics, and Risk Analysis. Skills Required: Must have: • Candidate with minimum 5-10 years of solid tech experience, preferably in a growing Start-up. • Proven Experience in leading the full cycle of mobile (Android/IOS) and web application development processes, from design to implementation. • Well-versed with tech stacks like Node, Python, Java and/or other latest languages. • Proven ability to build a solid team and thrive in a dynamic environment. • Experience with performance testing and optimization of the application for maximum speed and scalability. • Great analytical skills, data-driven decision making and evolution with technology trends. • Stronghold in backend development and algorithms. • Experience with Machine Learning and Data Analysis. Good to have: • Exposure to financial risk modeling is a plus. • Exposure to Image Processing is a plus. • Exposure to the blockchain is a plus. The right candidate should be commercially knowledgeable (business acumen) and pragmatic, and have an understanding of a wide range of technologies and methodologies, and should have the ability to choose which fits best. Experience building a technology team or work with a small team from start at a start-up is a plus.
• 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
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind