Java Developer

• Experience in Core Java, CXF, Spring. 
• Experience in spring boot, microservices. 
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good development experience with RDBMS, preferably Sybase database 
• Good knowledge of multi-threading and high volume server side development 
• Experience in sales and trading platforms in investment banking/capital markets 
• Basic working knowledge of Unix/Linux 
• Excellent problem solving and coding skills in Java 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

• Experience in Core Java and Spring Boot.

• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.

• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.

• Good development experience with RDBMS.

• Good knowledge of multi-threading and high-performance server-side development.

• Basic working knowledge of Unix/Linux.

• Excellent problem solving and coding skills.

• Strong interpersonal, communication and analytical skills.

• Should have the ability to express their design ideas and thoughts.

REQUIRED SKILLS:

• 8+ years experience in web application development and architecture.
• ·Extensive experience using open source software libraries
• Strong experience in at least one MVC architecture or application of the pattern
• Solid hands on experience with Java
• Strong experience with SQL ( Oracle, MySQL, Postgres)
• Strong experience in Data Structures & Algorithms
• ·Must have built end to end continuous integration and deployment infrastructure for micro services
• Strong commitment to good engineering discipline and process including code reviews and delivering unit tests in conjunction with feature delivery
• Must possess excellent communication and teamwork skills. Strong presentation and facilitation skills are required.
• Self-starter that is results focused with the ability to work independently and in teams.
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GOOD TO HAVE:

• Prior experience building modular, common and scalable services
• Experience using chef, puppet or other deployment automation tools
• Experience working within a distributed engineering team including offshore
• Bonus points if you have contributed to an open source project
• Familiarity and experience with agile (scrum) development process
• Proven track record of identifying and championing new technologies that enhance the end-user experience, software quality, and developer productivity

Java_FullstackDeveloper_DGT II

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.