Internship

Job Title : Senior Java Developer

Experience : 5 to 12 Years

Shift Timing : 01:00 PM – 10:00 PM

Domain : Clinical Research

Location : Noida, Gurugram & Pune

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Senior Java Developer to join the software team of a leading Clinical Research organization.

The role involves application development and feature enhancement for enterprise products, ensuring high performance, scalability, and code quality.

Mandatory Skills :

Java 8+, Hibernate, Oracle Database, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and basic AWS services (IAM, SNS, SQS, S3, CloudWatch).

Key Responsibilities :

• Develop and enhance enterprise applications using Java technologies.
• Design and implement RESTful APIs and integrate backend services.
• Write and optimize SQL queries for Oracle and PostgreSQL databases.
• Build and maintain UI components using JSP and React.js.
• Manage source code and CI/CD pipelines using GitHub and GitHub Actions.
• Ensure code quality and maintainability using SonarQube and SonarLint.
• Work with AWS services to support application deployment and monitoring.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Required Skills :

• Strong experience with Java 8 or above and Hibernate framework.
• Hands-on experience with Oracle Database and PostgreSQL, including advanced query writing.
• Proficiency in JAX-RS (RestEasy) and Jackson for REST API and JSON processing.
• Experience in developing web applications using JSP.
• Knowledge of React.js for frontend development.
• Experience with GitHub and GitHub Actions for version control and CI/CD.
• Familiarity with SonarQube and SonarLint for code quality analysis.
• Basic hands-on experience with AWS services, including IAM, SNS, SQS, S3, and CloudWatch.
• Ability to work effectively in a collaborative and fast-paced environment. 

Role Overview

We are looking for a Product Adoption Specialist who will play a key role in ensuring seamless implementation, training, and adoption of EasyEcom’s modules and new product features by our clients. This role involves hands-on onboarding support, client training, gathering on-ground insights, and driving product adoption through consistent engagement and feedback.

Key Responsibilities

• Conduct on-site and virtual product demos, training, and onboarding sessions for clients to ensure smooth adoption of EasyEcom’s modules and new features.
• Assist clients in initial setup and configuration of the EasyEcom platform, ensuring their systems are fully operational and integrated.
• Act as a bridge between clients and the product team, i.e., capture real-time feedback, identify usability issues, and suggest practical improvements.
• Track and report adoption metrics for new features and modules, and ensure clients are utilizing the platform to its full potential.
• Collaborate with internal teams (Product, Support, Key Accounts) to resolve implementation issues and ensure customer satisfaction.
• Develop training materials, documentation, and FAQs to enhance the self-service experience for clients.
• Maintain a high level of product knowledge and keep up-to-date with new releases and enhancements.
• Meet or exceed adoption and engagement targets set for existing and new clients.

Key Performance Indicators (KPIs)

• Successful completion of client onboarding within defined timelines.
• % of clients adopting new modules/features post-launch.
• Customer satisfaction and training feedback scores.
• Number of actionable product insights shared with the Product team.

Preferred Experience

• Prior experience in eCommerce operations or SaaS-based implementation.
• Exposure to warehouse or retail tech environments.
• Working knowledge of Excel, CRM tools, and support ticketing systems.

Required Skills & Qualifications

• Bachelor’s degree in Business, Engineering, or a related field.
• 1–3 years of experience in customer onboarding, product training, implementation, or customer success (preferably in SaaS or eCommerce tech).
• Strong communication and presentation skills in English and Hindi.
• Ability to explain technical concepts in simple, client-friendly language.
• Comfortable with frequent travel and hands-on work at client sites.
• An analytical mindset with the ability to capture and report actionable feedback.
• Comfortable working independently or in a cross-functional setup.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Radisys Corporation is looking for JAVA Backend developers with 6-10 years of experience for their Bangalore location.

The ideal candidate will be able to design and develop code for tasks after brainstorming sessions and applying best practices and coding conventions.

This position requires experience in Java, Spring, Spring Boot, microservices, message broker, and DB knowledge. Candidates should be skilled in developing enterprise applications that consist of FE, BE, and DB integration.

If you have experience with Docker and Kubernetes, that's an added advantage.

Roles & Responsibility:

• Develop a growth strategy focused both on financial gain & customer satisfaction.
• Contacting potential clients to establish rapport & arrange meeting.
• Researching Organizations & individuals to find new opportunities.
• Growing business through the development of new leads and new contracts.

Requirements:

• Candidates with Bachelor’s degree in any stream.
• Experience required at least 2-5 years in sales, marketing & related field
• Representative skill with communication
• Excellent Organizational skill