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Notice period less than 30 days .
We are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.
Responsibilities:
Design, develop, and maintain the application.
Write clean, efficient, and reusable code.
Implement new features and functionality based on business requirements.
Participate in system and application architecture discussions.
Create technical designs and specifications for new features or enhancements.
Write and execute unit tests to ensure code quality.
Debug and resolve technical issues and software defects.
Conduct code reviews to ensure adherence to best practices.
Identify and fix vulnerabilities to ensure application integrity.
Working with the product owner to ensure seamless integration of user-facing elements.
Collaborating with DevOps teams for deployment and scaling.
Requirements:
Bachelor’s degree in computer science or information technology, or a related field.
Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities to work effectively in a team environment.
Strong experience with Spring Boot 3, Java 17 or newer and Maven.
Skills & Requirements
Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.
Skills Required:
- 7+ years of experience as software engineer.
- Experience in Dot.Net technologies - Asp.Net MVC, WebAPI, .NetCore
- Experience in ORM like Entity Framework /Dapper
- Experience with Object-Oriented Design and SOLID principles
- Experience with Unit Testing, Mocking and Dependency Injection frameworks
- Experience with SQL Server, NoSQL or other database technology
- Experience with software quality, testing procedures and build automation tools
- Knowledge of the Principles & Patterns of Agile Software
- Ability to understand and troubleshoot existing code and maintain existing systems.
- Ability to identity performance bottlenecks.
- Experience working with version control tools such as GIT and CI/CD tools.
We are hiring for Tier 1 MNC for the software developer with good knowledge in Spark,Hadoop and Scala
Greetings from BTree Systems!!
Hope you are doing well! We have an exciting opportunity for you if you are doing freelance IT training.
We are currently hiring for freelancer technical (IT & Software) trainers, It would be the best opportunity for you to make a handful of side hustles.
Kindly check our website(https://www.btreesystems.com/) to check the current training we are providing, If you are already doing any of this training feel free to join us.
What we expect from you:
▪ Technical trainers should have more than 5 years of experience in the respective field.
▪ Ability to make students do individual toy projects on the respective skill.
We are looking for a Female Sales Executive.
Education - Any discipline with good communication skills.
Skills - Need to be a go-getter and should work towards the target to get leads. Lead generation is the primary measurement.
Experience - Minimum 2 years experience ins Tele sales of high-value products.
Accounts Payable
- Identify & report duplicate invoice
- Self / Peer reviews of transactions completed
- Propose potential improvement opportunities
- Respond to client/vendor emails with an appropriate solution within the timeframe
- Assist team members in completing their daily assignments
- Identify compliance and/or training challenges
Accounts Receivable
- Review Master Setup/Updates
- Review Cash/Payment Application
- Investigate unapplied payments
- Review Dunning Report
- Assist team members in completing their daily assignments
- Identify compliance and/or training challenges
General Ledger
- Review Journal entries
- Review accruals
- Review bad debt provisions
- Responsible for high-risk reconciliations
- Responsible for timely communication on issues, risks, and status updates
- Review & clear open Items
- Reconcile bank accounts (non-AP, AR bank accounts)
Completely work from office.
rotational shifts.
GREETINGS FROM CODEMANTRA !!!
EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!
Skills and Qualifications
*Strong Hands-on experience in Python Programming
*** Working experience with Computer Vision models - Object Detection Model, Image Classification
* Good experience in feature extraction, feature selection techniques and transfer learning
* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.
* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.
* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model
Regards
Ranjith PR


