Scikit Learn Jobs in Patna

Opening Summary We are seeking a highly skilled and motivated Machine Learning (ML) Engineer to join our dynamic team. The ML Engineer will design, build, and deploy machine learning models and systems to solve real-world business problems. You will work closely with data scientists, product managers, and software engineers to develop scalable and efficient ML solutions, ensuring the models deliver value while maintaining performance, scalability, and interpretability. Responsibilities Design, develop, and deploy machine learning models and algorithms to address business needs. Build scalable data pipelines to support machine learning workflows. Collaborate with data scientists to transform prototypes into production-ready solutions. Optimize and fine-tune models to improve accuracy, speed, and scalability. Develop APIs to integrate ML models into production applications. Monitor and maintain deployed models, ensuring performance and accuracy over time. Implement best practices for data preprocessing, feature engineering, and model evaluation. Work on advanced ML techniques such as NLP, computer vision, and deep learning as needed. Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Ensure compliance with data governance, security, and privacy standards. Keep up-to-date with the latest advancements in AI/ML technologies and tools. Requirements Proficiency in Python or R for machine learning model development. Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Knowledge of cloud platforms (AWS, Azure, GCP) for deploying ML models. Experience with data processing libraries such as Pandas, NumPy, and SQL. Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Knowledge of NLP, computer vision, or time-series analysis is a plus. Familiarity with version control systems like Git. Experience with MLOps tools such as MLflow, Kubeflow, or Sagemaker. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to explain complex technical concepts to non-technical stakeholders. Strong attention to detail and a commitment to producing high-quality work. Preferred Qualification Experience in developing and maintaining ML pipelines in production. Familiarity with DevOps practices and tools (CI/CD). Knowledge of data governance, security, and compliance in ML systems. Experience working with large-scale datasets and distributed systems (e.g., Spark, Hadoop). Qualification : Bachelor's or Masters degree in Computer Science, Data Science,Mathematics, or a related field.

Job Title: Back-End Developer - Spring Boot Location: Patna Skills Required: Java Programming, Spring Boot, Spring Framework, RESTful APIs, Microservices Architecture, Database Management, MySQL, CI/CD, DevOps Practices Experience Required: Minimum 3 years Educational Qualification: Bachelor s degree in Computer Science, Information Technology, or a related field. Employment Type: Full Time Workplace: Onsite Position Summary We are seeking a skilled and motivated Back-End Developer with expertise in Spring Boot to join our dynamic team. The ideal candidate will possess strong technical skills, experience in building scalable and secure back-end solutions, and a passion for developing high-quality applications. You will collaborate with front-end developers, product managers, and other stakeholders to design and implement the server-side components that power our applications. Key Responsibilities Back-End Development: Develop, test, and maintain back-end applications using Spring Boot and related technologies. API Design & Integration: Design and implement RESTful APIs for seamless integration with front-end applications and external systems. Performance, Scalability & Security: Ensure application performance, scalability, and security in alignment with industry standards. Cross-Functional Collaboration: Collaborate with cross-functional teams to understand project requirements and deliver effective solutions. Database Management: Integrate with databases by creating optimized queries and managing database schemas. Issue Troubleshooting & Resolution: Troubleshoot, debug, and resolve issues in both production and development environments. Code Quality & Best Practices: Write clear, maintainable, and efficient code following best practices and coding standards. CI/CD Implementation: Implement and maintain CI/CD pipelines to streamline deployment processes. Application Performance Monitoring: Monitor and optimize application performance to ensure low latency and high availability. Technology & Trends Updates: Stay updated with the latest trends and technologies in back-end development and the Spring ecosystem. Requirements Education & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience (3+ years) in back-end development using Java and Spring Boot. Core Skills: Strong knowledge of RESTful APIs, microservices architecture, and API design best practices. Proficiency in relational databases like MySQL, PostgreSQL, or Oracle, and exposure to NoSQL databases like MongoDB is a plus. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with Docker, Kubernetes, and containerized applications. Solid understanding of security protocols, authentication methods, and data protection (e.g., OAuth2, JWT). Hands-on experience with version control systems like Git. Experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Knowledge of front-end technologies like React or Vue.js for better collaboration with front-end developers. Familiarity with message brokers (e.g., RabbitMQ, Kafka). Exposure to monitoring tools like Prometheus, Grafana, or New Relic. Experience in Agile development methodologies. Benefits Opportunity to work on cutting-edge technologies in a fast-paced environment. Supportive and inclusive work culture. Professional development opportunities and access to learning resources. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.