BlackStone eIT

Develop, test, and maintain Java-based applications while collaborating with team members to gather requirements. Participate in code reviews and troubleshoot software defects to ensure high-quality applications. | At least 5 years of experience in backend development with Java and Spring Boot is required. Candidates should have extensive experience in creating microservices and knowledge of various technologies including MongoDB and Kafka. | BlackStone eIT is on the lookout for a talented Java Developer to join our growing team. As a Java Developer, you will contribute to the design, development, and deployment of innovative software solutions. This role requires a robust understanding of Java programming and a passion for delivering high-quality applications. You will work alongside other developers and cross-functional teams to ensure the successful implementation of our software projects. Responsibilities Develop, test, and maintain Java-based applications. Collaborate with team members to gather requirements and translate them into technical specifications. Write clean, efficient, and scalable code while following best practices. Troubleshoot and resolve software defects and issues. Participate in code reviews to ensure code quality and adherence to standards. Stay updated with the latest industry trends and technologies to enhance the development process. Assist in database design and management. At least 5 years of experience in backend development with Java and Spring Boot. - Extensive experience in creating microservices, including those for payments, refunds, reconciliation, and workflow services. - Knowledgeable in MongoDB, Kafka, and API integration (REST/SOAP). - Proficient with cloud platforms (AWS/Azure) and containerization technologies (such as Docker and Kubernetes). - Understanding of Software AG WebMethods API Gateway and asynchronous communication. - Practical experience in financial services or payment solutions. - Skilled in Agile methodologies and DevOps practices. - Strong abilities in debugging, problem-solving, and analysis. - Excellent communication and teamwork skills.

Design, develop, and deploy machine learning models and algorithms. Collaborate with cross-functional teams to analyze data and implement solutions for business problems. | 3-5 years of experience as a Machine Learning Engineer or similar role is required. A BSc in Computer Science, Mathematics, or a similar field is necessary, with a Master's degree being a plus. | BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions. Experience: 3-5 years Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Outstanding analytical and problem-solving skills Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus Responsibilities · Study and transform data science prototypes · Research and implement appropriate ML algorithms and tools · Develop machine learning applications according to requirements · Select appropriate datasets and data representation methods · Run machine learning tests and experiments · Deploy the trained models and build REST APIs · Perform statistical analysis and fine-tuning using test results · Train and retrain systems when necessary · Extend existing ML libraries and frameworks · Study project Requirements · write technical details at BRDs · Keep abreast of developments in the field Paid Time Off Work From Home Performance Bonus Training & Development