Management Trainee/Executive

Full Stack Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the frontend elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS and ReactJS development stack

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql

∙ Basic understanding of web technologies including HTML, CSS, JavaScript, AJAX etc.

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

 We are looking for a Full Stack Developer-REMOTE Position

Strong knowledge of HTML, CSS, JavaScript, and JavaScript frameworks (e.g., React, Angular, Vue)

• Experience with backend technologies such as Node.js, DynamoDB, and PostgreSQL.

• Experience with version control systems (e.g., Git)

• Knowledge of web standards and accessibility guidelines

• Familiarity with server-side rendering and SEO best practices

 Experience with AWS services, including AWS Lambda, API Gateway, and DynamoDB. 

• Experience with Dev Ops- Infrastructure as Code, CI / CD, Test & Deployment Automation. 

• Experience writing and maintaining a test suite throughout a project's lifecycle. 

• Familiarity with Web Accessibility standards and technology

• Experience architecting and building Graph QL APIs and REST-full services.

• Reviewing the portfolio monitoring/ early warning signals mechanism on ongoing basis
• Monitoring internal and external data points that may affect the risk level of a decision
• Aggregating data from multiple sources to provide a comprehensive assessment
• Coming up with the solution to reduce risks
• Bringing fresh ideas to the table and being keen observers of trends on analytics and financial services industry
• Creating reports, summaries, presentations and process documents to display results

Desired Candidate Profile

What you need to have:

Desired Candidate Profile

• Bachelor’s or Master’s degree in IT
• 5+ years as Technical Project Manager
• Experience with Agile development (Scrum/Kanban) is must
• Experience with task tracking systems like Jira, VSTS is must
• Solid organizational skills including attention to detail and multitasking skills
• Experience with project management tools like MS Project is a plus
• Project Management Professional (PMP)/ PRINCE II certification is a plus
• Good knowledge of software life cycle and processes and various methodologies
• Resource planning, performance management and team motivational skills are must
• Previous development experience as Business Analyst, development or data science is a plus    

• At least 2-5 years of working experience in web services, preferably in Python
• Should have built and released APIs in production
• Experience working with RDBMS and NoSQL databases
• Designing thoughtful, extensible data models
• Knowledge of identifying, defining and building micro-services
• Working knowledge of GCS, AWS, Azure or any other cloud provider
• Aggressive problem diagnosis and creative problem-solving skills
• Good communication skills - written and spoken

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases