Genesys Cloud Developer

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 2 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

Hello ,

Greetings from Talentika !!

we are having a job vacancy for Java Developer Along with the Skills

Java, Microservices, Kubernetes, AWS/Azure, devops background .

Best Regards,

Priya.

• Previous working experience as a Python Web Developer for min 2 years.

• Hands-on experience with Django, Flask, or other Python frameworks.

• Experience with Design implementation of objects and data models.

• Working knowledge in JavaScript, HTML5, CSS3.

• Understanding of CI/CD practices.

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Proficient understanding of code versioning tools such as Git, Mercurial, or SVN.

• Hands-on experience with complex scripts in Python to capture business logic and automate system management tasks.

• 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.

You will work with our team and end clients to ensure that the customer requirements are implemented on-time and on-budget. You will coordinate with the rest of the CRM-solutions team to handle sales engineering, support, and technology transformation initiatives.

Requirements