Python 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.

Opening Summary We are seeking a Senior DevOps Engineer to lead the automation, security, and scalability of our cloud infrastructure. The ideal candidate will have deep expertise in Infrastructure-as-Code (Terraform), container orchestration (Docker, Kubernetes), and CI/CD pipelines (GitLab). They will be responsible for implementing secure cloud environments, managing continuous delivery pipelines, and optimizing system performance to ensure operational excellence. Responsibilities Infrastructure Automation: Build and maintain scalable cloud environments using Terraform to implement Infrastructure-as-Code (IaC) solutions. Containerization and Orchestration: Manage and optimize containerized applications using Docker and Kubernetes for efficient cloud operations. Continuous Integration and Delivery: Implement and maintain continuous delivery pipelines using GitLab CI/CD, focusing on fast and reliable deployments. Network Security: Design and maintain secure cloud network architectures, monitor networks for vulnerabilities, and implement IDS/IPS solutions to safeguard against threats. System Monitoring and Health: Utilize tools like Prometheus and Grafana to track system performance and provide actionable insights for improvements. Operational Excellence: Manage container orchestration and cloud databases, ensuring high availability, fault tolerance, and implementing disaster recovery strategies. Requirements Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in DevOps, cloud engineering, or related fields. Expertise in Terraform, Docker, Kubernetes, and GitLab CI/CD. Strong understanding of cloud architecture, network security protocols, and best practices. Familiarity with security standards such as OWASP, SOC 2, and tools like IDS/IPS and WAF. Preferred certifications: AWS Certified Solutions Architect, Google Cloud Professional Architect, CISSP, or CCSP. Excellent problem-solving and communication skills, with a proven ability to collaborate across teams. Preferred Qualification Cloud architecture certifications such as AWS Certified Solutions Architect, Google Cloud Professional Architect, or equivalent. Security certifications such as CISSP, CCSP, or CompTIA Security+. Experience with IDS/IPS, WAF, and network segmentation in cloud environments. Familiarity with OWASP security standards, SOC 2 compliance, and data governance best practices. Hands-on experience with high availability, fault-tolerant systems, and disaster recovery strategies. Knowledge of serverless technologies and container security tools. Strong troubleshooting skills for optimizing cloud, container, and network operations. Ability to lead and contribute to process improvement initiatives. Experience collaborating with cross-functional teams, including developers, QA, security, and operations teams. Notes Join us to shape the future of secure, scalable cloud solutions and drive innovation in DevOps practices! Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.