784+ Jobs Found in gurugram

Techwysh Energy Private Limited is looking for enthusiastic and hardworking Trainee Field Operators / Yard Support to join its Oil & Gas operations team. This is an excellent opportunity for freshers and candidates with up to 2 years of experience who are eager to build a career in the oil and gas industry. Selected candidates will support field and yard operations, assist in equipment maintenance, and gain hands-on experience while working with experienced professionals. Key Responsibilities Assist in daily oilfield and yard operations. Support maintenance, inspection, and cleaning of oilfield equipment. Help with loading, unloading, and organizing equipment in the yard. Follow safety procedures and company guidelines at all times. Assist senior field operators during site operations. Perform routine equipment checks and report any issues. Maintain tools, equipment, and work areas in good condition. Prepare basic work reports and maintenance records. Learn oilfield operational procedures and industry best practices. Travel to field locations as required. Required Qualifications Diploma in any discipline, OR Bachelor's Degree (BA, B.Com, or equivalent) Candidates with Mechanical, Electrical, Civil, or Petroleum-related backgrounds will have an added advantage. Preferred Skills Willingness to work in field conditions. Basic knowledge of mechanical tools and equipment. Teamwork and communication skills. Problem-solving ability. Positive attitude and eagerness to learn. Ability to follow safety procedures. Physically fit for field operations. Why Join Us? Hands-on training in the Oil & Gas industry. Career growth opportunities. Exposure to real-time field operations. Learn from experienced industry professionals. Opportunity to build a long-term career in energy and oilfield services.

Skymax Construction Private Limited is seeking an experienced Senior Project Manager to lead and manage mechanical and structural steel construction projects from planning through successful handover. The ideal candidate will oversee project execution, manage multidisciplinary teams, ensure quality, safety, budget, and schedule compliance, and coordinate with clients and stakeholders to deliver projects on time and within budget. Key Responsibilities Plan, execute, monitor, and successfully deliver mechanical and structural steel construction projects. Develop project schedules, resource plans, budgets, and execution strategies. Supervise daily site operations and ensure work progresses according to approved plans and timelines. Coordinate with clients, consultants, contractors, vendors, and internal teams throughout the project lifecycle. Monitor project costs, timelines, and resource utilization to ensure budget compliance. Ensure adherence to quality standards, safety regulations, and project specifications. Identify project risks, resolve technical and operational issues, and implement corrective actions. Conduct project review meetings and provide regular progress reports to management and clients. Manage project documentation, contracts, change orders, and approvals. Lead and mentor project engineers, site managers, and execution teams. Ensure successful project commissioning, final inspections, and handover. Required Qualifications Bachelor's Degree in Mechanical Engineering, Civil Engineering, or a related discipline. Minimum 8 years of experience in project management, with significant experience in mechanical and structural steel construction projects. Strong knowledge of project planning, execution, budgeting, scheduling, and risk management. Experience managing large-scale construction and industrial projects. Familiarity with construction quality standards, safety regulations, and statutory compliance. Excellent leadership, communication, negotiation, and stakeholder management skills. Proficiency in MS Project, Primavera P6, AutoCAD, and Microsoft Office is preferred. Benefits Health Insurance Provident Fund (PF) Annual Bonus Career Growth Opportunities Professional Development Supportive Work Environment

Skymax Construction Private Limited is looking for an experienced Quality Assurance Engineer to oversee quality control and assurance activities for structural steel fabrication, welding, painting, and site erection. The ideal candidate will ensure all work complies with approved engineering drawings, project specifications, client requirements, and relevant national and international quality standards. Key Responsibilities Inspect incoming raw materials and verify Material Test Certificates (MTCs) for compliance. Monitor fabrication, fit-up, welding, and dimensional accuracy of steel structures. Conduct visual inspections and coordinate Non-Destructive Testing (NDT) activities, including UT, MT, PT, and RT. Inspect surface preparation, painting quality, and Dry Film Thickness (DFT) measurements. Verify structural erection quality, alignment, bolt tightening, and dimensional tolerances at site. Prepare and maintain quality documentation, including Inspection & Test Plans (ITPs), inspection reports, Non-Conformance Reports (NCRs), and quality dossiers. Ensure compliance with project specifications, ISO 9001, IS 800, AWS D1.1, and other applicable industry standards. Coordinate with clients, consultants, third-party inspectors, and project teams during inspections and quality audits. Identify quality issues, recommend corrective and preventive actions, and monitor implementation. Support continuous improvement initiatives to enhance quality processes and project outcomes. Ensure adherence to workplace safety and quality management procedures. Required Qualifications B.Tech/B.E. in Mechanical Engineering or a related discipline. Minimum 5 years of experience in QA/QC for structural steel fabrication and erection projects. Strong understanding of welding inspection, fabrication processes, NDT methods, and painting inspection. Knowledge of ISO 9001, IS 800, AWS D1.1, and relevant construction quality standards. Ability to read and interpret engineering drawings and technical specifications. Proficiency in preparing QA/QC documentation and inspection reports. Good communication, coordination, and problem-solving skills. Benefits Annual Bonus Provident Fund (PF) Health Insurance Laptop Career Growth Opportunities Supportive Work Environment

Noble Ultrasound Clinic LLP is looking for an experienced Ultrasound Typist to assist radiologists by accurately typing ultrasound findings and preparing diagnostic reports during patient examinations. The ideal candidate should possess excellent English typing skills, familiarity with medical terminology, and the ability to work efficiently in a fast-paced diagnostic environment while maintaining complete confidentiality. Key Responsibilities Type ultrasound findings accurately during examinations. Prepare and format ultrasound reports using standard templates. Enter patient demographic and examination details into the reporting system. Review reports for typing accuracy before doctor verification. Print and organize reports for final approval and signature. Maintain confidentiality of patient records and medical information. Coordinate with radiologists to ensure timely report completion. Ensure accurate documentation and proper record management. Follow clinic protocols and quality standards for report preparation. Support smooth workflow within the ultrasound department. Required Skills Excellent English typing speed and accuracy. Knowledge of ultrasound and radiology terminology. Proficiency in MS Word and reporting software. Strong attention to detail. Good written communication skills. Basic computer proficiency. Time management and multitasking. Ability to maintain patient confidentiality. Preferred Candidate Profile 2–3 years of experience as an Ultrasound Typist, Medical Transcriptionist, or Radiology Reporting Assistant. Experience working in a diagnostic centre, ultrasound clinic, or hospital. Ability to work independently and under time-sensitive conditions. Female candidates are preferred for this role.

We are looking for an experienced AIOps Engineer / Senior AIOps Engineer to design and implement enterprise-scale AIOps, Observability, and Automation solutions. The role focuses on improving IT operations efficiency through event correlation, predictive monitoring, AI-driven insights, and self-healing automation to enhance service reliability and reduce operational noise. Key Responsibilities AIOps Strategy & Implementation Design and implement enterprise-wide AIOps frameworks Develop event correlation, noise reduction, and alert intelligence systems Build predictive monitoring and anomaly detection models Enable proactive and autonomous IT operations Create service health dashboards and operational KPIs Event Management & Correlation Configure and optimize event management platforms Implement alert aggregation, deduplication, and suppression techniques Build topology-based event correlation models Enable root cause analysis and incident intelligence workflows Reduce alert fatigue and improve operational efficiency Observability Engineering Implement observability across infrastructure, applications, cloud, databases, and networks Establish distributed tracing and service dependency mapping Define monitoring standards, KPIs, and SLAs Integrate telemetry using tools like OpenTelemetry Strengthen SRE and reliability practices ITSM & ServiceNow ITOM Integration Integrate monitoring tools with ServiceNow ITOM Configure Event Rules, CMDB, Service Mapping, and Operational Intelligence Automate incident creation and remediation workflows Improve ITIL-based process alignment (Incident, Problem, Change, Event Management) Automation & Self-Healing Develop automation runbooks for operational efficiency Build self-healing and auto-remediation solutions Use tools like Ansible, PowerShell, Python, Azure Runbooks, and Rundeck Implement automation use cases (restart services, cleanup, scaling, recovery) Cloud & Modern Operations Manage observability across AWS, Azure, GCP, Kubernetes, and Docker environments Support cloud-native monitoring and SRE practices Ensure high availability and service reliability Reporting & Governance Build executive dashboards and KPI reports Track MTTR, MTBF, alert reduction, and automation savings Support continual service improvement initiatives Required Skills AIOps & Observability ServiceNow ITOM / Dynatrace / Splunk ITSI / Moogsoft / BigPanda Datadog, AppDynamics, Prometheus, Grafana, Elastic Stack OpenTelemetry Cloud Platforms AWS / Azure / Google Cloud Kubernetes & Docker ITSM & Processes ITIL v4 Framework Incident, Problem, Change, Event Management CMDB & Service Mapping Automation & Scripting Python, PowerShell, Bash Ansible, Azure Automation / Runbooks REST APIs integration AI / Data Concepts Machine Learning fundamentals Anomaly detection & predictive analytics Event correlation models Required Experience 10–12 years in IT Operations / Infrastructure Support 4–5 years in AIOps / Observability Engineering Experience in large enterprise environments (10,000+ users) Hands-on experience with ServiceNow ITOM or equivalent tools Exposure to Managed Services / SRE environments preferred Preferred Certifications ServiceNow ITOM Certified Implementation Specialist Dynatrace Professional Certification ITIL v4 Foundation / Managing Professional Microsoft Azure Administrator / Architect Kubernetes Administrator (CKA) Key Competencies Technical AIOps Architecture Design Event Correlation & Automation Observability Engineering Cloud Operations & SRE Practices Root Cause Analysis Behavioral Strong analytical & problem-solving skills Stakeholder management Technical leadership Continuous improvement mindset Automation-driven thinking Role Impact This role plays a key part in digital operations transformation, enabling organizations to shift from reactive monitoring to intelligent, predictive, and self-healing IT operations with measurable improvements in cost, efficiency, and service reliability.

We are looking for an Operations Specialist (Documentation Executive) to support logistics and supply chain operations. The role involves shipment tracking, documentation validation, transport planning, and coordination with internal and external stakeholders to ensure smooth freight operations across Air, Sea, and Road transport modes. Key Responsibilities Validate, verify, and store shipping and logistics documents accurately Track and trace shipments (Air, Sea, and Road) to ensure timely updates and visibility Monitor deviations, delays, and escalations, and take proactive corrective actions Coordinate with logistics service providers (LSPs), carriers, and internal teams for shipment planning and execution Support transport planning, forecasting, and order shipment scheduling Ensure adherence to company SOPs, Kuehne + Nagel guidelines, and business process mapping (BPM) standards Maintain and update shipment status in internal systems regularly Identify process improvement opportunities and share productivity enhancement ideas Support day-to-day operational reporting and documentation control Required Skills & Competencies Strong understanding of Supply Chain & Logistics Operations Experience in Export Documentation, Freight Forwarding, or Shipment Coordination Knowledge of Air Freight, Sea Freight, and Road Transport processes Proficiency in MS Excel (data handling, tracking, reporting) Strong communication and coordination skills Ability to handle escalations and work under tight deadlines Attention to detail and strong organizational skills Educational Qualification MBA / PGDM in Supply Chain Management / Operations / Logistics preferred Relevant diploma or bachelor’s degree with logistics experience may also be considered Company Overview Kuehne + Nagel is one of the world’s leading logistics and supply chain companies, headquartered in Switzerland. With a global presence across 100+ countries and 82,000+ employees, the company specializes in sea freight, air freight, contract logistics, and road transport solutions. Kuehne + Nagel has been operating in India since 1997 and is a key player in integrated logistics services. Additional Details Contract Duration: 1 Year (renewable based on performance) Benefits: PF, Annual Bonus (as per gross salary), and transport shuttle facility from Rapid Metro Sector 55–56 Work Environment: Professional logistics operations setup

About the Role Antino Labs is looking for a passionate DevOps Engineer – Cloud Infrastructure to build, automate, and manage scalable cloud environments on AWS. The ideal candidate should have hands-on experience with cloud infrastructure, CI/CD pipelines, Infrastructure as Code (IaC), Kubernetes, and DevOps automation tools. You will work closely with Development, QA, Product, and Engineering teams to build highly available, secure, and production-ready cloud infrastructure while improving deployment efficiency and system reliability. Key Responsibilities Cloud Infrastructure Design, deploy, and maintain secure, scalable, and highly available AWS cloud infrastructure. Manage AWS services including EC2, VPC, IAM, Route 53, S3, RDS, CloudFront, ALB, WAF, and Security Groups. Optimize infrastructure performance, reliability, scalability, and cost efficiency. Create and maintain cloud architecture documentation and network diagrams. Infrastructure as Code (IaC) Build and manage cloud infrastructure using Terraform. Automate infrastructure provisioning and configuration. Develop reusable and scalable Terraform modules. Kubernetes & Containerization Deploy and manage containerized applications using Kubernetes (EKS preferred). Manage Kubernetes clusters, workloads, services, and ingress controllers. Work with Helm, Kustomize, and container orchestration best practices. Support cloud-native and microservices-based applications. Cloud Security Implement AWS security best practices. Manage IAM policies, encryption, KMS, networking, WAF, and access controls. Ensure compliance with security standards. Monitor and remediate infrastructure vulnerabilities. Monitoring & Operations Monitor infrastructure health, performance, and availability. Configure dashboards, alerts, and monitoring tools. Troubleshoot production issues and perform root cause analysis. Support release management and production deployments. Disaster Recovery Design backup and disaster recovery strategies. Define and manage RTO and RPO objectives. Ensure business continuity with highly available infrastructure. Collaboration Work closely with Product, Development, QA, and Engineering teams. Mentor junior engineers and share DevOps best practices. Participate in process improvements and technical knowledge-sharing sessions. Required Skills Strong knowledge of AWS Cloud Services Hands-on experience with Terraform Experience with Jenkins and CI/CD pipelines Kubernetes (EKS preferred) Git & GitOps workflows Infrastructure as Code (IaC) Docker & Containerization Linux Administration Cloud Networking & Security Monitoring & Troubleshooting Preferred Skills Helm & Kustomize Microservices Architecture Cloud Security & IAM Disaster Recovery Planning AWS Cloud Architecture Monitoring Tools (CloudWatch, Prometheus, Grafana) Automation & Scripting (Bash/Python) Why Join Antino Labs? Work on modern cloud-native technologies. Build enterprise-scale cloud infrastructure. Exposure to AWS, Kubernetes, and DevOps best practices. Collaborative engineering culture. Excellent learning and career growth opportunities.

About the Role Antino Labs is looking for a talented Machine Learning Engineer to design, develop, and deploy AI/ML solutions for industrial applications in the refinery and petrochemical sector. The ideal candidate should have strong expertise in Machine Learning, Python, MLOps, SQL, and cloud technologies, with hands-on experience in building production-ready ML models. This role offers an opportunity to work on real-world industrial challenges involving time-series forecasting, predictive analytics, process optimization, and AI-powered automation. Key Responsibilities Design, develop, and deploy end-to-end Machine Learning solutions. Build scalable AI/ML pipelines for cloud and on-premise environments. Develop predictive and time-series forecasting models for industrial process data. Perform feature engineering on structured and multivariate datasets. Build optimization models to improve operational efficiency, energy consumption, and production yield. Develop and maintain Python and SQL-based data pipelines. Train, evaluate, deploy, monitor, and retrain ML models. Implement MLOps practices including model versioning, CI/CD, monitoring, and automated retraining. Work with high-frequency industrial data from SCADA, OPC, PHD, and historian systems. Collaborate with Data Scientists, Data Engineers, Process Engineers, and business stakeholders. Ensure deployed AI systems are scalable, reliable, and production-ready. Stay updated with emerging AI, Machine Learning, and industrial analytics technologies. Required Skills Strong proficiency in Python programming. Excellent knowledge of Machine Learning and Deep Learning concepts. Hands-on experience with Time-Series Forecasting and Predictive Analytics. Strong SQL skills for data extraction and transformation. Experience building end-to-end ML pipelines. Knowledge of MLOps practices and model deployment. Experience with: Scikit-learn TensorFlow PyTorch Pandas NumPy SciPy Matplotlib Flask/Django Understanding of feature engineering techniques. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Preferred Skills Experience with Azure Machine Learning, Azure Data Factory, or Databricks. Knowledge of Apache Spark or PySpark. Experience with Kafka, MQTT, or real-time data streaming. Exposure to GenAI, LLMs, LangChain, or LangGraph. Experience in Oil & Gas, Manufacturing, Refinery, or Petrochemical industries. Why Join Us? Work on cutting-edge Industrial AI and Machine Learning projects. Build production-scale AI solutions for real-world business challenges. Collaborate with experienced Data Scientists and AI professionals. Opportunity to work on cloud technologies, MLOps, and advanced analytics. Career growth in one of the fastest-growing AI organizations.

Job Summary Accenture is hiring a Technology Operations Support Specialist to manage, monitor, and support enterprise IT infrastructure and business applications. The ideal candidate should have experience in incident management, system monitoring, troubleshooting, IT operations, and service management. You will work closely with cross-functional teams to ensure smooth IT operations, minimize downtime, and deliver high-quality technical support. Key Responsibilities Monitor and maintain IT infrastructure, applications, and operational systems. Provide Level 2/Level 3 technical support for production environments. Troubleshoot hardware, software, and network-related issues. Resolve incidents and service requests within SLA timelines. Perform root cause analysis and implement preventive solutions. Monitor system performance and ensure high availability. Coordinate with development, infrastructure, and business teams. Manage user access, system configurations, and operational tasks. Maintain operational documentation and knowledge base. Participate in system upgrades, maintenance activities, and deployments. Ensure compliance with IT security and organizational policies. Support automation initiatives to improve operational efficiency. Required Skills IT Operations Technical Support Incident Management ServiceNow Windows Server Linux Administration Networking Fundamentals Active Directory SQL Basics System Monitoring Application Support Cloud Fundamentals (AWS/Azure) ITIL Framework Troubleshooting SLA Management Preferred Skills Azure Cloud AWS Cloud PowerShell/Shell Scripting DevOps Fundamentals Monitoring Tools (Splunk, Dynatrace, AppDynamics) Jira CI/CD Basics Automation Tools

Job Summary Accenture is looking for an experienced AI / ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, Cloud AI Services, and Generative AI technologies. The role involves building production-ready AI applications, optimizing ML models, collaborating with cross-functional teams, and delivering innovative AI-driven business solutions. Key Responsibilities Design, develop, and deploy AI & Machine Learning applications. Build scalable production-ready ML pipelines. Develop and integrate Generative AI solutions. Work with Deep Learning models using TensorFlow or PyTorch. Deploy AI solutions on AWS, Microsoft Azure, or Google Cloud Platform. Perform data preprocessing, feature engineering, and model optimization. Develop chatbots, NLP, Computer Vision, and Image Processing applications. Collaborate with cross-functional teams on AI implementation. Monitor model performance and continuously improve accuracy. Provide technical guidance and mentor team members. Participate in architecture discussions and technical decision-making. Ensure high-quality, scalable, and secure AI applications. Required Skills Machine Learning (ML) Deep Learning Generative AI (GenAI) TensorFlow PyTorch Python Programming Data Preprocessing Feature Engineering Neural Networks Cloud Platforms (AWS / Azure / GCP) Model Deployment AI Application Development NLP (Natural Language Processing) Computer Vision Chatbot Development Preferred Skills MLOps Docker & Kubernetes REST APIs Git & CI/CD Data Engineering Prompt Engineering LLM Integration LangChain Vector Databases Why Join Us? Work on cutting-edge AI and Generative AI technologies. Opportunity to build enterprise-scale AI applications. Collaborative and innovative work environment. Career growth with global technology projects. Exposure to Cloud AI, LLMs, and advanced Machine Learning solutions.