About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Summary: Droisys is looking for a skilled Java Backend Developer to join our team. The ideal candidate will have expertise in Java, Spring Boot, Kafka, WebSocket//'s, Data Structures & Algorithms, JPA, Linux. You will be responsible for designing, developing, and maintaining scalable backend systems that power our applications. Experience required :- 5 Years Location:- Noida ,UP Working Mode :- WFO (5 Days) Key Responsibilities: Develop and maintain backend services using Java and Spring Boot . Implement Kafka for real-time data streaming and messaging. Utilize web Sockets for efficient communication between client and server. Design and optimize algorithms and data structures for performance. Work with JPA for database management and ORM solutions. Develop and maintain applications on Linux environments. Write efficient scripts and automation using Python . Ensure high performance, security, and scalability of backend systems. Collaborate with front-end developers, DevOps engineers, and other stakeholders. Conduct code reviews, debugging, and performance tuning. Required Skills & Qualifications: Strong proficiency in Java and Spring Boot . Experience with Kafka for event-driven architecture. Knowledge of WebSockets for real-time communication. Solid understanding of Data Structures & Algorithms . Hands-on experience with JPA for database interactions. Familiarity with Linux environments and shell scripting. Basic knowledge of Python for automation and scripting. Experience with microservices architecture and RESTful APIs. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Posting Title: AI Solution Engineer What does a AI Solution Engineer do? As an AI Solution Engineer at, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. What will you do: Research and Innovation : Stay updated with the latest AI technologies, tools, and trends to continuously improve and innovate //'s data conversion processes. Documentation : Maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Design and Develop AI Models : Implement AI solutions focused on automating and enhancing the core data conversion processes. Data Handling : Work with large datasets, ensuring the integrity and security of sensitivity information during the conversion process. Secure Environment Compliance : Develop and deploy AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration : Work closely with cross-functional teams including data scientists, software engineers, and business analysts to create integrated AI solutions. Testing and Validation : Conduct rigorous testing and validation of AI models to ensure accuracy and reliability. Performance Optimization : Continuously monitor and optimize AI models for efficiency and performance improvements. Perform application scoring and data aggregation What you will need to have: Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#. Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem-Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the Financial Services Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
As an AI Solution Engineer at Droisys, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. In this role, you will research and innovate by staying updated with the latest AI technologies, tools, and trends to continuously improve and innovate Droisys's data conversion processes. You will be required to maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Additionally, you will design and develop AI models to automate and enhance the core data conversion processes, working with large datasets while ensuring the integrity and security of sensitive information during the conversion process. Your responsibilities will also include developing and deploying AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration with cross-functional teams, including data scientists, software engineers, and business analysts, will be crucial to create integrated AI solutions. You will conduct rigorous testing and validation of AI models to ensure accuracy and reliability, as well as continuously monitor and optimize AI models for efficiency and performance improvements. To excel in this role, you will need proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#, along with familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in data manipulation and analysis using tools like Pandas or NumPy, as well as knowledge of deep learning concepts and architectures, will be valuable assets. Familiarity with software development methodologies, cloud-based services, system design, problem-solving skills, and collaboration with cross-functional teams are also essential requirements. Having 5-7+ years of technical implementation experience would be advantageous, and additional experience in the Financial Services Industry, relevant certifications in AI/ML or reporting tools like Splunk, SSRS, Cognos, and Power BI would be great to have for this role at Droisys.,
About Company Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Description We are seeking a talented and experienced Database Developer lead to join our team. The ideal candidate will have 2-11 years of experience in database development, with a strong understanding of database design principles, SQL programming, and data modeling. The Database Developer lead will be responsible for designing, implementing, and maintaining database solutions to support our organization//'s data needs. Key Responsibilities: Design, develop, and maintain relational databases for various applications and systems within the organization. Perform database tuning and optimization to ensure optimal performance and scalability. Develop SQL queries, stored procedures, and functions to support application development and data retrieval. Collaborate with cross-functional teams to gather requirements and design database solutions that meet business needs. Perform data modeling to design logical and physical database structures. Implement and maintain database security measures to protect sensitive data. Troubleshoot and resolve database issues promptly. Document database design, processes, and procedures. Qualifications: Bachelor//'s degree in Computer Science, Information Technology, or related field. 2-11 years of experience in database development. Proficiency in SQL programming and experience with relational database management systems Pref PostgreSQL (e.g., MySQL, PostgreSQL, SQL Server). Strong understanding of database design principles and data modeling techniques. Experience with database tuning, optimization, and performance monitoring. Knowledge of database security best practices. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a team environment. Strong communication and interpersonal skills. Preferred Qualifications: Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of cloud-based database services (e.g., AWS RDS, Azure SQL Database). Certification in database administration or development is a plus.
As a Database Developer Lead at Droisys, you will be responsible for designing, implementing, and maintaining database solutions to support the organization's data needs. Your expertise in database development, SQL programming, and data modeling will be crucial in this role. **Key Responsibilities:** - Design, develop, and maintain relational databases for various applications and systems. - Perform database tuning and optimization for optimal performance and scalability. - Develop SQL queries, stored procedures, and functions to support application development. - Collaborate with cross-functional teams to design database solutions meeting business needs. - Conduct data modeling for logical and physical database structures. - Implement and maintain database security measures to protect sensitive data. - Troubleshoot and resolve database issues promptly. - Document database design, processes, and procedures. **Qualifications:** - Bachelor's degree in Computer Science, Information Technology, or related field. - 2-11 years of experience in database development. - Proficiency in SQL programming and experience with relational database management systems (e.g., MySQL, PostgreSQL, SQL Server). - Strong understanding of database design principles and data modeling techniques. - Experience with database tuning, optimization, and performance monitoring. - Knowledge of database security best practices. - Excellent problem-solving skills and attention to detail. - Ability to work independently and collaboratively in a team environment. - Strong communication and interpersonal skills. **Preferred Qualifications:** - Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. - Familiarity with ETL processes and tools. - Knowledge of cloud-based database services (e.g., AWS RDS, Azure SQL Database). - Certification in database administration or development is a plus.,