5 Mops Jobs

As a Lead BizOps at our company, you will play a crucial role in project management with a strong emphasis on technical proficiency. Your responsibilities will include managing small teams, handling project communication, and ensuring the successful delivery of projects within designated timelines. A solid understanding of Value-Added Services (VAS) business operations and prior experience in team leadership will be key to excelling in this role. You should possess at least 6 years of experience in Technical Operations and Project Management. Managing projects from inception to execution, as well as overseeing all communication related to customer accounts, will be part of your daily tasks. An in-depth understanding of Telecom VAS Network, knowledge of telecom protocols, and proficiency in tools like Jira and Microsoft Office Suite are essential requirements. Your role will involve troubleshooting application issues, creating project documentation, deploying new services, and maintaining client relationships. Effective communication with internal stakeholders and the ability to lead cross-functional teams towards common goals will be critical to your success. Certification in project management such as PMP or Prince2 would be advantageous. Key Responsibilities: - Manage daily team operations, ensuring timely resolution of customer issues in line with SLAs. - Act as a primary point of escalation for critical problems, providing strategic guidance to the team. - Implement best practices to enhance operational efficiency and productivity. - Troubleshoot application issues, debug logs, and resolve technical challenges. - Deploy new services on Linux and Windows servers, configuring over databases. - Maintain client relationships for successful solution delivery. - Collaborate with internal stakeholders to gather requirements and address issues. - Ensure revenue targets are met through effective project management. - Provide 24/7 support to maintain service uptime at 99.9%. If you are a self-directed leader with excellent communication skills and a passion for driving innovation, we invite you to apply for this challenging and rewarding position.,

Our company is growing rapidly and is looking to fill the role of housekeeping room attendant. If you are looking for an exciting place to work, please take a look at the list of qualifications below. Responsibilities for housekeeping room attendant Cleans and straightens room Removes and disposes of trash, soiled linen Inventories and maintains the cleanliness of the linen closets Projects an image of professionalism, friendliness and willingness to provide personalized service to our guests Respond promptly to guest requests such as special cleaning times Check all lamps and fixtures for burned-out bulbs and check TVs and radios to ensure proper working condition Review and understand the work report and room assignment sheet Prepare for the work day appropriately to ensure an adequate supply of clean linens, towels, amenities, cleaning supplies and other related materials are on hand Clean, dust, sanitize and supply guest rooms according to departmental procedures Report deficiencies in guest rooms and guest public areas to the Coordinator for appropriate response

Technologies-Products: Nokia IP Router portfolio - 7705/7210 portfolio Nokia SDN & NFV portfolio – VSR, NSP, TelcoCloud, DC Fabric. etc. RHEL/CentOS, Ubuntu, Java, Python/Perl etc. VMWare ESXi, vCloud, OpenStack OpenFlow, KVM, Xen, Hyper-V Required Candidate profile Exp in network migrations, like Nokia infrastructure. Understanding of Nokia CLI commands and network configurations. Hands on expertise with multi-vendor devices and platforms. TCP/IP, BGP, OSPF

Job Title : LLMOps Engineer GenAI Platforms Location : Bangalore Minimum : 3 years of relevant experience Maximum : 5 years total experience Must include : Strong MLOps experience Hands-on with LLMs for at least 2 years OR Transitioned from MLOps to LLMOps with understanding of LLM lifecycle About the Role: We are looking for a forward-thinking LLMOps Engineer to join our team and help build the next generation of secure, scalable, and responsible Generative AI (GenAI) platforms. This role will focus on establishing governance, security, and operational best practices while enabling development teams to build high-performing GenAI applications. You will also work closely with GenAI agents and integrate LLMs from multiple providers to support diverse use cases. Key Responsibilities: Design and implement governance frameworks for GenAI platforms, ensuring compliance with internal policies and external regulations (e.g., GDPR, AI Act). Define and enforce responsible AI practices including fairness, transparency, explainability, and auditability. Implement robust security protocols including IAM, data encryption, secure API access, and model sandboxing. Collaborate with security teams to conduct risk assessments and ensure secure deployment of LLMs. Build and maintain scalable LLMOps pipelines for model training, fine-tuning, evaluation, deployment, and monitoring. Automate model lifecycle management with CI/CD, versioning, rollback, and observability. Develop and manage GenAI agents capable of reasoning, planning, and tool use. Integrate and orchestrate LLMs from multiple providers (e.g., OpenAI, Anthropic, Cohere, Google, Azure OpenAI) to support hybrid and fallback strategies. Optimize prompt engineering, context management, and agent memory for production use. Ensure high availability, low latency, and cost-efficiency of GenAI workloads across cloud and hybrid environments. Implement monitoring and alerting for model drift, hallucinations, and performance degradation. Partner with GenAI developers to embed best practices and reusable components (SDKs, templates, APIs). Provide technical guidance and documentation to accelerate development and ensure platform consistency. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 4+ years of experience in MLOps, DevOps, or platform engineering, with 1–2 years in LLM/GenAI environments. Deep understanding of LLMs, GenAI agents, prompt engineering, and inference optimization. Experience with LangChain, LlamaIndex, Langraph or similar agent frameworks. Hands-on with MLflow, or equivalent tools. Proficient in Python, containerization (Docker) and cloud platforms (AWS/GCP/Azure). Familiarity with AI governance frameworks and responsible AI principles. Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks. Knowledge of Responsible AI, red-teaming, and OWASP security priciples.

Job Title : LLMOps Engineer GenAI Platforms Location : Bangalore Minimum : 3 years of relevant experience Maximum : 5 years total experience Must include : Strong MLOps experience Hands-on with LLMs for at least 2 years OR Transitioned from MLOps to LLMOps with understanding of LLM lifecycle About the Role: We are looking for a forward-thinking LLMOps Engineer to join our team and help build the next generation of secure, scalable, and responsible Generative AI (GenAI) platforms. This role will focus on establishing governance, security, and operational best practices while enabling development teams to build high-performing GenAI applications. You will also work closely with GenAI agents and integrate LLMs from multiple providers to support diverse use cases. Key Responsibilities: Design and implement governance frameworks for GenAI platforms, ensuring compliance with internal policies and external regulations (e.g., GDPR, AI Act). Define and enforce responsible AI practices including fairness, transparency, explainability, and auditability. Implement robust security protocols including IAM, data encryption, secure API access, and model sandboxing. Collaborate with security teams to conduct risk assessments and ensure secure deployment of LLMs. Build and maintain scalable LLMOps pipelines for model training, fine-tuning, evaluation, deployment, and monitoring. Automate model lifecycle management with CI/CD, versioning, rollback, and observability. Develop and manage GenAI agents capable of reasoning, planning, and tool use. Integrate and orchestrate LLMs from multiple providers (e.g., OpenAI, Anthropic, Cohere, Google, Azure OpenAI) to support hybrid and fallback strategies. Optimize prompt engineering, context management, and agent memory for production use. Ensure high availability, low latency, and cost-efficiency of GenAI workloads across cloud and hybrid environments. Implement monitoring and alerting for model drift, hallucinations, and performance degradation. Partner with GenAI developers to embed best practices and reusable components (SDKs, templates, APIs). Provide technical guidance and documentation to accelerate development and ensure platform consistency. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 4+ years of experience in MLOps, DevOps, or platform engineering, with 1–2 years in LLM/GenAI environments. Deep understanding of LLMs, GenAI agents, prompt engineering, and inference optimization. Experience with LangChain, LlamaIndex, Langraph or similar agent frameworks. Hands-on with MLflow, or equivalent tools. Proficient in Python, containerization (Docker) and cloud platforms (AWS/GCP/Azure). Familiarity with AI governance frameworks and responsible AI principles. Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks. Knowledge of Responsible AI, red-teaming, and OWASP security priciples.