Location: Bangalore / Hybrid Department: Data & AICompany: Resolve Tech Solutions / Juno LabsAbout Juno Labs:Juno Labs is at the forefront of AI-driven cloud solutions, helping businesses unlock the power of data with scalable, intelligent, and high-performance architectures. Wespecialize in building next-gen data platforms, leveraging cloud technologies, AI/ML, vector databases, and advanced frameworks to drive real-time insights and intelligent decision-making.Job Description:We are looking for an experienced MLOps Engineer to join our Data & AI team. This role will focus on building, deploying, and optimizing end-to-end machine learning systems with an emphasis on LLMOps (Large Language Models operationalization). The ideal candidate will have strong expertise in MLOps, LLMOps, and DevOps, with hands-on experience managing and deploying large-scale models, particularly LLMs, in bothcloud and on-premise environments. The role involves not only building robust MLOps pipelines but also self-hosting models, optimizing GPU usage, and performingquantization to reduce the cost of deployment.Key Responsibilities:Design and implement scalable MLOps pipelines to deploy, monitor, and manage machine learning models, with a particular focus on LLMOps.Integrate, fine-tune, and optimize Hugging Face models (e.g., Transformers,BART, GPT-2/3) for diverse NLP tasks such as text generation, textclassification, and NER, and deploy them for production-scale systems.Use LangChain to build sophisticated LLM-driven applications, enabling seamless model workflows for NLP and decision-making tasks.Optimize and manage LLMOps pipelines for large-scale models usingtechnologies such as OpenAI API, Amazon Bedrock, DeepSpeed, and Hugging Face Hub.Develop and scale self-hosted LLM solutions (e.g., fine-tuning and serving models on-premises or in a hybrid cloud environment) to meet performance, reliability, and cost-effectiveness goals.Leverage cloud-native tools such as Amazon SageMaker, Vertex AI, GCP, AWS for scaling large language models, and ensure their optimization in distributed cloud environments. Use GPU-based optimization for large-scale model training and deployment, ensuring high performance and efficient resource allocation in the cloud or on- premises environments.Deploy models via containerized solutions using Docker, Kubernetes, and Helm, allowing for seamless scaling and management in both cloud and on- premise infrastructures.Implement model quantization and pruning techniques to reduce the resource footprint of deployed models while maintaining high performance.Monitor model performance in production using Prometheus, Grafana, ELKStack, and other observability tools to track metrics such as inference latency, accuracy, and throughput.Automate the end-to-end workflow of model development and deployment viaCI/CD pipelines with tools like GitLab CI, Jenkins, and CircleCI.Integrate vector databases (e.g., Pinecone, FAISS, Milvus) for efficient storage, retrieval, and querying of model-generated embeddings.Stay up to date with the latest advancements in MLOps, LLMOps, and machine learning technologies, ensuring the adoption of best practices in model development, deployment, and optimization.Required Skills & Qualifications:Bachelors or Masters degree in Computer Science, Engineering, or a related field.5+ years of experience in MLOps, LLMOps, DevOps, or related roles, with a focus on deploying and managing machine learning models in production environments.Experience with cloud platforms such as AWS, GCP, Azure, and services like Amazon SageMaker, Vertex AI, TensorFlow Serving, DeepSpeed, and Amazon Bedrock.Expertise in Hugging Face models and the Transformers library, including model fine-tuning, deployment, and optimizing NLP models for large-scale production.Experience with LangChain for building and deploying LLM-based applicationsthat handle dynamic and real-time tasks.Strong experience with self-hosting LLMs in cloud or on-premises environments using GPU-based infrastructure for training and inference (e.g., NVIDIA GPUs, CUDA). Expertise in GPU utilization and optimization for large-scale model training, inference, and cost-effective deployment.Hands-on experience in model quantization techniques to reduce the memory footprint and inference time, such as TensorFlow Lite, ONNX, or DeepSpeed.Familiarity with distributed ML frameworks like Kubeflow, Ray, Dask, MLflow, for managing end-to-end ML workflows and large-scale model training andevaluation.Proficiency with containerization and orchestration tools such as Kubernetes, Docker, Helm, and Terraform for infrastructure automation.Knowledge of vector databases like Pinecone, Milvus, or FAISS to facilitate fast and scalable retrieval of model-generated embeddings.Expertise in setting up and managing CI/CD pipelines for model training, validation, testing, and deployment with tools like Jenkins, GitLab CI, and CircleCI.Strong programming skills in Python, Bash, and Shell scripting.Solid understanding of monitoring and logging tools such as Prometheus, Grafana, and ELK Stack to ensure high system performance, error detection, and model health tracking.Preferred Qualifications:Proven experience in deploying and managing large-scale LLMs like GPT-3,BERT, T5, and BLOOM in production environments using cloud-native solutions and on-premises hosting.Deep expertise in quantization, model compression, and pruning to optimize deployed models for lower latency and reduced resource consumption.Strong understanding of NLP tasks and deep learning concepts such astransformers, attention mechanisms, and pretrained model fine-tuning.Experience with Kedro for building reproducible ML pipelines with a focus on data engineering, workflow orchestration, and modularity.Familiarity with Apache Spark and Hadoop for handling big data processing needs, especially in real-time AI workloads.Familiarity with advanced data engineering pipelines and data lakes for the effective management of large datasets required for training LLMs. Why Join Us:Work with cutting-edge technologies in AI, MLOps, and LLMOps, including self- hosting and optimizing large-scale language models.Be part of an innovative, fast-growing team working on the future of AI-driven cloud solutions.Flexibility in work style with a hybrid work environment that promotes work-life balance.Competitive salary and benefits package, with opportunities for personal and professional growth.

Job Title: UI/UX Designer Bangalore (Work from Office)Company Name: Resolve TechLocation: Bangalore, IndiaExperience: 5 to 10 yearsEmployment Type: Full-timeJob Description:Resolve Tech is looking for a creative and experienced UI/UX Designer to join our team in Bangalore (Work from Office). The ideal candidate should have 5 to 10 years of experience in designing intuitive and user-friendly mobile applications. You will be responsible for creating visually appealing and functional designs that enhance user experience.Key Responsibilities:Design intuitive and aesthetically pleasing mobile app interfaces (iOS & Android).Develop user flows, wireframes, mockups, and prototypes to enhance user experience.Conduct user research, usability testing, and analyze user feedback for design improvements.Work closely with product managers and developers to ensure seamless implementation of UI/UX designs.Create and maintain design systems, style guides, and UI components.Optimize designs based on performance metrics and user behavior analysis.Stay updated with the latest design trends, tools, and best practices in UI/UX design.Required Skills & Qualifications:5 to 10 years of experience in UI/UX design.Strong portfolio showcasing previous UI/UX design work.Hands-on experience with mobile UI design for Android & iOS applications.Proficiency in design tools such as Figma, Adobe XD, Sketch, and Photoshop.Knowledge of user-centered design principles, usability, and accessibility standards.Experience in creating wireframes, prototypes, and high-fidelity designs.Understanding of front-end technologies (HTML, CSS, JavaScript) is a plus.Strong problem-solving skills with attention to detail.Excellent communication and collaboration skills.Additional Requirements:Portfolio link is mandatory – Applications without a portfolio will not be considered.LinkedIn profile is required – Please share your LinkedIn profile link.Why Join Us?Opportunity to work on innovative and challenging UI/UX projects.Collaborative work culture with a strong focus on design excellence.Competitive salary and career growth opportunities.

We are seeking a talented and passionate Mid-Senior Level Web Front-End Engineer to join our growing team. You will play a key role in developing and maintaining our web applications, contributing to a high-quality user experience, and working with cutting-edge technologies. You will collaborate closely with designers, product managers, and back-end engineers to deliver exceptional web products. Responsibilities: Develop and maintain high-performance, scalable, and maintainable web applications using modern front-end technologies. Implement responsive and cross-browser compatible user interfaces. Write clean, well-documented, and testable code. Collaborate with designers to translate UI/UX designs into functional web components. Work closely with back-end engineers to integrate front-end and back-end systems. Participate in code reviews and contribute to improving our development processes. Stay up-to-date with the latest front-end technologies and trends. Identify and troubleshoot performance bottlenecks and other front-end issues. Contribute to the overall architecture and design of our web applications. Mentor and guide junior engineers (for Senior Level). Proactively identify and propose solutions for technical challenges. Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 3+ years (Mid-Level) / 5+ years (Senior-Level) of experience in front-end web development. Strong proficiency in HTML, CSS, and JavaScript (ES6+). Experience with modern JavaScript frameworks/libraries such as React Experience with both Server side rendering and client side rendering principles and frameworks like NextJS Solid understanding of responsive design principles and cross-browser compatibility. Experience with version control systems (e.g., Git). Experience with testing frameworks (e.g., Jest, Cypress, Mocha). Familiarity with performance optimization techniques. Excellent problem-solving and communication skills. Experience with GIT pipelines and setting up tests and code coverage for code merges. Ability to work independently and as part of a team. Experience designing and implementing micro front end architecture Experience with visualization libraries like D3 Experience with build tools (e.g., Webpack, Parcel). Preferred Qualifications (Optional): Experience with state management libraries (e.g., Redux, SAGA). Experience creating and publishing reusable components for enterprise library Experience with accessibility best practices (WCAG). Experience with Agile development methodologies. Contributions to open-source projects. Familiarity with design systems.

We are looking for a Cloud DevOps Engineer to build, automate, and scale our product, which is a multi-cloud, event-driven AI system for real-time anomaly detection and alerting. You will be responsible for cloud infrastructure, Kubernetes, automation, CI/CD, and observability, ensuring high availability and performance. While this is a DevOps-heavy role, knowledge of event streaming, real-time data processing, and ML pipeline automation will be a plus.Key Responsibilities Building, automating, and maintaining robust and scalable cloud infrastructure, with a strong emphasis on automation, security, and observability.1. Infrastructure & Cloud Automation:Multi-Cloud Management: Design, implement, and manage infrastructure across various cloud platforms (e.g., AWS, Azure, GCP) and on-premises environments.IAC Implementation: Utilize Infrastructure-as-Code (IaC) principles to automate infrastructure provisioning and management using Terraform or Pulumi.Configuration Management: Automate system configuration and application deployments using Ansible (or similar configuration management tools) to ensure consistency and reliability.Kubernetes Optimization: Optimize the performance and cost-effectiveness of both cloud-based (EKS, AKS, GKE) or self-hosted Kubernetes clusters.2. CI/CD & Deployment Automation:Design and implement GitOps workflows using tools like Jenkins, and GitHub Actions to streamline application deployments.Containerized Deployment: Automate the deployment of containerized applications across various Kubernetes distributions (EKS, AKS, GKE).API Management: Manage API gateways, service discovery, and ingress controllers using technologies like Nginx.3. Event-Driven & Real-Time Processing (Supporting Role):Real-Time Data Streaming: Deploy, manage, and maintain Kafka-based solutions (Apache Kafka, Confluent, MSK, Event Hubs, Pub/Sub) for real-time data ingestion and processing.Database Optimization: Optimize the performance and scalability of various open-source and cloud-based databases (PostgreSQL, TimescaleDB, Elasticsearch, Influx DB etc).MLOps Support: Support Machine Learning (ML) workloads by integrating Kubeflow, MLflow, Ray, Seldon, Sage maker, Vertex AI, and Azure ML with CI/CD pipelines.4. Observability & Security:Monitoring & Logging: Implement comprehensive monitoring and logging solutions using tools like Prometheus, Grafana, Open Telemetry, ELK, Loki, and Datadog to proactively identify and resolve issues.Security Implementation: Implement robust security measures, including RBAC, IAM, and Secrets Management (Vault, Sealed Secrets, AWS KMS, Azure Key Vault) to protect sensitive data and infrastructure.Compliance & Best Practices: Ensure adherence to SOC2, GDPR, and other relevant compliance standards, while implementing security best practices across all cloud and open-source technologies.Skills & Qualifications:Must-Have:Strong expertise in Cloud DevOps (AWS, Azure, GCP) and open-source infrastructure.Experience with Terraform, Kubernetes (EKS, AKS, GKE, OpenShift, K3s), Docker and CI/CD automation.Hands-on experience with Kafka, RabbitMQ, or event-driven microservices.Observability tools (Prometheus, Open Telemetry, Grafana, ELK).Strong Python or scripting for automation.Good-to-Have (Data & AI Integration):Knowledge of real-time data pipelines (Kafka, CDC, Flink, Spark Streaming, Debezium).Experience integrating MLOps tools (Kubeflow, MLflow, DASK, Ray, Sage maker, Vertex AI, Azure ML).Exposure to serverless computing (Lambda, Cloud Functions, Azure Functions).

Application Portfolio Management Position - Requirement Role OverviewThe Application Portfolio role is responsible for improving the processes associated with registering new applications and modifications. This role ensures data quality and collaborates with the Primary Technical Owner to maintain proper data standards. Additionally, the Application Portfolio Manager is tasked with creating dashboards to address any queries.Key ResponsibilitiesProcess ImprovementEnhance the processes for registering new applications and modifications.Identify and implement best practices to streamline application registration processes.Monitor and evaluate the effectiveness of current processes and suggest improvements.Data Quality AssuranceEnsure the accuracy and integrity of data related to application portfolio management.Work closely with the Primary Technical Owners across company to verify and correct data discrepancies.Develop and maintain data standards and protocols to ensure consistent data quality.Collaboration and CoordinationCollaborate with the Primary Technical Owners to ensure all data is accurate and up to date.Facilitate communication between technical and non-technical stakeholders.Coordinate with various teams to ensure compliance with data management policies.Dashboard Creation and ManagementDesign and develop dashboards to provide insights and address queries related to the application portfolio.Utilize data visualization tools to create user-friendly and informative dashboards.Regularly update and maintain dashboards to reflect the most current data and information.Required Skills and QualificationsAtleast 6-10 Years of Experience with Service Now platformExtensive knowledge of ServiceNow APM and its integration with the ServiceNow platformDeep understanding of CSDM 3.0 or later, including its domains, data structure, and best practices for CMDB data modelingExperience in aligning APM with CSDM, particularly in mapping applications to business capabilities, services, and technical architecture Strong analytical and problem-solving skills.Skill in creating and managing relationships between applications, business services, and technical services as per CSDM guidelinesProficiency in using ServiceNow's Service Builder feature for creating and managing services following CSDM guidance.Understanding of APM's role in strategic portfolio management and its integration with other ServiceNow modules10. Application InventoryCategorizationData CertificationApplication ServicesProficiency in data management and data quality assurance practices.Proficiency in Python, JavaScript, and shell scripting.Excellent communication and collaboration skills.Attention to detail and a commitment to maintaining high data quality standards.Performance MetricsEfficiency and effectiveness of the application registration process.Accuracy and quality of application portfolio data.Timeliness and reliability of dashboard updates and queries resolution.Stakeholder satisfaction with data management and reporting processes.

Please find the below Job Description We are seeking a highly skilled and experienced Lead Maximo Developer with a strong background in IBM Maximo 7.6, system performance tuning, and utilities industry experience. This role will involve overseeing the development, customization, and optimization of Maximo applications for our utility operations. The successful candidate will lead a team of developers and collaborate closely with stakeholders to ensure system reliability, scalability, and peak performance.Key Responsibilities:As a Maximo Developer with expertise in Maximo Integration Framework (MIF) and Maximo Business Objects (MBO), you will play a crucial role in designing, developing, and implementing solutions within the Maximo environment. Your primary focus will be on integrating Maximo with other enterprise systems using MIF, as well as customizing and extending Maximo functionalities through MBOs.Design, develop, and implement integration solutions using Maximo Integration Framework.Configure and manage integration endpoints to ensure seamless communication between Maximo and other systems.Troubleshoot and resolve integration issues, ensuring data integrity and system reliability.Customize and extend Maximo functionalities using Maximo Business Objects.Develop, modify, and maintain MBOs to meet specific business requirements.Collaborate with functional teams to understand business processes and translate them into technical specifications.Customize Maximo applications to align with business processes and user requirements.Develop and modify Maximo workflows, automation scripts, and UI components.Plan and execute data migration activities within the Maximo system.Transform and map data to ensure accurate and consistent migration.Create and maintain detailed technical documentation for MIF and MBO configurations and customizations.Document integration interfaces, data mappings, and custom code for future reference.Work closely with cross-functional teams, including business analysts, system administrators, and end-users, to understand requirements and deliver effective solutions.Communicate effectively with stakeholders to provide updates, gather requirements, and address concerns.Lead the design, development, and customization of Maximo 7.6 for utilities industry processes.Conduct system performance analysis, optimization, and troubleshooting to ensure high availability and performance of Maximo environments.Support as a team of Maximo developers, ensuring project deadlines and deliverables are met.Collaborate with cross-functional teams including business analysts, system administrators, and external vendors to deliver high-quality solutions.Develop and implement integration solutions with other enterprise systems such as ERP, GIS, SCADA, etc.Ensure compliance with best practices, coding standards, and IT security protocols.Perform data migration and upgrades of Maximo environments.Develop reports and dashboards using BIRT or other reporting tools.Conduct code reviews, provide mentorship, and guide junior developers in Maximo development.Stay up-to-date with Maximo best practices, emerging technologies, and industry trends.Required Qualifications:8+ years of experience in IBM Maximo development with at least 3 years in a lead or senior role.In-depth knowledge of IBM Maximo 7.6 platform and its applications, especially within the utilities sector.Proven expertise in Maximo system performance tuning, troubleshooting, and optimization.Experience with Maximo utilities applications such as asset management, work management, and service requests.Strong understanding of SQL, MIF (Maximo Integration Framework), automation scripting (Python/JavaScript), and Java/J2EE for Maximo customizations.Experience with Maximo upgrades and patching processes.Familiarity with BIRT (Business Intelligence and Reporting Tools) or other reporting solutions for Maximo.Strong knowledge of Maximo configuration, including workflows, escalations, and application designer.Experience with integrating Maximo with external systems (e.g., ERP, GIS, SCADA).Excellent analytical, problem-solving, and decision-making skills.Preferred Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.Proven experience as a Maximo Developer with a focus on MIF and MBO (experience with Maximo 7.6 is preferred).Strong knowledge of Maximo architecture and data model.Experience in cloud-hosted Maximo environments (e.g., IBM Cloud).Maximo certification (e.g., IBM Certified Deployment Professional - Maximo Asset Management V7.6) is a plus.Experience with Maximo Asset Management for Utilities (Maximo for Utilities) module is an advantage.Familiarity with Kubernetes, Docker, and other containerized environments will be supportive.Proficiency in Java, Jython, and other relevant programming languages.Experience with Maximo application customization, workflow development, and automation scripting.Solid understanding of integration concepts and hands-on experience with MIF.Familiarity with database management systems (e.g., Oracle, SQL Server).Excellent problem-solving and troubleshooting skills.Strong communication and interpersonal skills.Soft Skills:Excellent written and verbal communication skills.Ability to work collaboratively with cross-functional teams.Attention to detail and a commitment to delivering high-quality work.Looking forward to hearing from you soon.