Machine Engineer 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 Description Job title: Field Service Engineer Your role: Delivery: The FSE would ensure full compliance of Service Delivery Processes and deliver services both effectively and efficiently The FSE would conduct site surveys before taking over the Life Cycle Management of an installed machine The FSE would also provide Demonstration Support for the system in the region The position of a FSE would entail Commissioning and Handing-over of the respective systems projects FSE would participate in Corrective Maintenance and would also maintain and complete the PM Schedules within the stipulated time frame The FSE would implement FCO Selling : As a FSE, Person would actively participate and support in CS Sales Promotion and achievement of overall CS Team Sales Targets FSE would coordinate the process of Spare parts Sales with the Customer Identifying opportunities for System Upgrades and promoting the same to the Customer would also fall within the job s purview The FSE would provide Competition Information about the latest developments and the prevailing market condition to enable the organization to be competitive. Service Administration The FSE would report all necessary information both technical and administration [Call Completion Call Reporting, PM, FCO, Installations] as per the norms The FSE would be responsible for proper handling of parts/ Test & Measuring Instruments to ensure return of all parts with proper documents The responsibility of collecting Customer Overdue Outstanding would lie with the FSE. Customer Satisfaction FSE would also be responsible for timely escalation of certain issues to the concerned FSE and work as a team to provide appropriate. You're the right fit if: 3+ years of exp into Cathlab machines. Experience in Service, Maintenance and installation. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Qualification : Experience in Service, Maintenance and installation.

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.

Job Title: Senior Technical Project Manager Opening Summary: We are seeking a Senior Technical Project Manager to lead complex projects, particularly in AI and cloud environments, ensuring smooth execution from planning to delivery. The ideal candidate will have a strong background in Agile project management, technical expertise in cloud and DevOps, and the ability to communicate effectively with both technical and non-technical stakeholders. Responsibilities Project Planning & Execution: Develop and manage Jira project plans, sprints, and tasks, ensure project scope and goals align with project objectives. Agile Leadership: Lead Agile ceremonies including daily stand-ups, sprint planning, and retrospectives, remove blockers, and drive continuous improvement. Stakeholder Management: Collaborate with technical teams, product owners, and clients, provide clear project updates, risk assessments, and mitigation plans. Risk & Issue Management: Identify and mitigate risks early to avoid project delays, track issues in Jira, maintaining transparency across teams. Resource Coordination: Work with Engineering, QA, and DevOps teams to manage resources effectively, balance workloads to ensure timely project completion. Quality Assurance & Delivery: Ensure deliverables meet technical and business requirements, champion process improvements, and conduct post-project retrospectives. Requirements 7+ years of experience in technical project management. Bachelor s degree in Computer Science, Engineering, or related field. Proven expertise in managing multiple projects using Jira. Agile/Scrum certifications (CSM, PMI-ACP) preferred. Familiarity with cloud environments (AWS, GCP, Azure) and DevOps practices. Strong collaboration and communication skills with both executives and engineers. Preferred Qualification Experience with AI/ML projects and data governance. Knowledge of security standards like SOC 2 and GDPR in enterprise environments. Qualification : Bachelors degree in Computer Science, Engineering, or related field.