4114 Retrieval Jobs - Page 36

Date: Jun 19, 2025 Job Requisition Id: 61568 Location: Hyderabad, TG, IN Hyderabad, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire SAP DMS Professionals in the following areas : Provide hands-on expertise in SAP DMS configuration and management, with 5-10 years of relevant experience. Manage the complete document lifecycle within SAP DMS, including creation, storage, retrieval, version control, and archiving. Configure and maintain metadata within SAP DMS to ensure accurate document categorization and efficient searching. Implement and manage version control strategies within SAP DMS to track document changes and maintain audit trails. Possess strong experience with SAP ECC and SAP S/4HANA, including a deep understanding of how DMS integrates with other SAP modules such as Materials Management (MM), Plant Maintenance (PM), and Quality Management (QM). Design, implement, and manage SAP DMS workflows to automate document routing, approval processes, and other document-related tasks. Define and implement document categorization strategies within SAP DMS to organize and classify documents effectively. Configure and manage various storage solutions integrated with SAP DMS, ensuring optimal performance and accessibility. Implement and maintain SAP DMS security protocols, including user roles, authorizations, and access controls, to protect sensitive information. Apply knowledge of compliance standards and document retention policies within SAP systems to ensure adherence to regulatory requirements. Collaborate with business users and IT teams to gather requirements and translate them into effective SAP DMS solutions. Develop and maintain comprehensive documentation for SAP DMS configurations, processes, and user guides. Provide end-user training and support for SAP DMS functionalities. Troubleshoot and resolve issues related to SAP DMS functionality and integrations. Participate in upgrades and enhancements of the SAP DMS system. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross functional teams. Knowledge of SAP Content Server. Familiarity with data migration tools and techniques related to SAP DMS. Experience in developing custom solutions or enhancements within SAP DMS. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Collaborate with product owners, systems analysts, and software engineers to deliver against an agile roadmap Collaborate with architects and other software engineers to evaluate functional and non-functional requirements and deliver creative, high-quality solutions Follow and improve on processes for continuous delivery and DevOps within your team Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools Experienced in Software Engineering practices like Reliability Engineering, Deployment planning, Fault Tolerant architecture, Test Automation Experience in Data as a Service and Container as a Service models Experience in incident ticket tracking tools and processes like ServiceNow Collaborate on quality strategies that ensure our data platform is correct, resilient, scalable, and secure Support applications throughout the SDLC from design to Production Deployment Participate in and provide input for system analysis, design walkthroughs and code reviews Participate in defect review and triage Adhere to design/coding standards and constantly improve the way we build and deliver software Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in engineering or equivalent experience 5+ years of experience in designing ETL/ELT solutions using tools like Azure Data Factory and Azure Databricks.OR Snowflake 4+ years of designing and implementing Cloud based applications Experience with Kafka for real-time data streaming and integration Experience in creating and maintaining Azure Infrastructure as Code using Terraform and GitHub Actions Experience in creating and configuring CI/CD pipelines using GitHub Actions for various Azure services Experience with these or similar technologies: Azure Kubernetes, Azure Databricks, Docker, GitHub/GitHub Actions, Kafka Experience utilizing version control systems (e.g., Git) for code management and familiarity with CI/CD (Continuous Integration/Continuous Deployment) methodologies for automated software delivery. These are essential for modern development practices Experience building data intensive systems in a public, hybrid, or private cloud environment Experience in collaborating with teams in an Agile Delivery/onshore-offshore model Firsthand experience with specific AI techniques and frameworks, such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), or autonomous agents Expertise in programming languages such as Python Working knowledge of RESTFul APIs Proficiency in Snowflake for data wrangling and management Solid proficiency in SQL (Structured Query Language) for data querying and manipulation, along with expertise in at least one programming language commonly used in data engineering, such as Python or Scala. These are fundamental technical skills In-depth understanding of managing security aspects of Azure infrastructure Proven ability to use DBT to build and maintain data marts and views Proven ability to configure, set up, and maintain GitHub for various code repositories Proven solid problem-solving skills and ability to diagnose and troubleshoot technical issues Proven excellent communication skills for explaining technical issues and solutions Preferred Qualifications: Relevant cloud certifications, particularly Microsoft Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert Thorough understanding of data modeling principles (conceptual, logical, and physical) and comprehensive knowledge of data warehousing concepts and best practices. This is crucial for designing effective data solutions Proven excellent analytical skills and proven ability to work with delivery teams to think out of box At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Education and Work Experience Requirements: · 5 to 8 years of experience as Data Science Architect · 2 to 3 years of experience in Generative AI solution development · Proven track record and experience with with GenAI technologies o Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) o Understanding of SLMs such as Phi3,QWEN, BERT and Transformer architecture o Vector databases like Pinecone, Qdrant etc. · Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model · Expertise with the following scripting languages: o Python, R, Tensorflow, Keras, Pytorch o OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs · Design and implement end-to-end Generative AI solutions, ensuring seamless integration with enterprise applications and workflows. · Lead technical evaluations and POCs (Proof of Concepts) to assess new AI models, frameworks, and vector databases for RAG solutions. · Develop scalable indexing and retrieval strategies to optimize search and generation performance in large-scale AI systems. · Implement hybrid search techniques, including dense and sparse retrieval, for enhanced information retrieval accuracy. · Define and enforce architectural standards, coding best practices, and performance benchmarks for RAG-based applications. · Collaborate with business leaders to identify AI-driven opportunities and develop strategic roadmaps for AI product evolution. · Drive the adoption of domain-specific AI solutions by tailoring RAG architectures to industry-specific requirements. · Establish feedback loops and model monitoring mechanisms to ensure continuous improvement of AI-generated outputs. · Utilize MLOps best practices to automate model deployment, monitoring, and retraining pipelines for Generative AI solutions. · Optimize knowledge graphs and vector embeddings to enhance contextual awareness in Graph RAG implementations. · Develop strategies for handling long-context retrieval and efficient chunking mechanisms for better AI response quality. · Leverage fine-tuning and reinforcement learning with human feedback (RLHF) to improve generative AI model performance. · Explore and integrate federated learning techniques to enable privacy-preserving AI model training and inference. · Conduct AI ethics assessments and bias mitigation strategies to ensure responsible AI development and deployment. · Engage with open-source AI communities and contribute to research publications or technical blogs on RAG advancements. · Participate in technical panels, conferences, and industry events to showcase AI expertise and thought leadership. · Support sales and pre-sales teams by providing technical guidance, solution demonstrations, and AI-driven business value assessments. · Establish AI Centers of Excellence (CoE) within the organization to drive innovation, knowledge sharing, and AI capability building. · Ensure compliance with enterprise security policies, data governance regulations, and responsible AI guidelines. · Develop multi-modal AI capabilities that integrate NLP, Computer Vision, and Speech Recognition for advanced generative applications. · Prior experience working on Mobility, Manufacturing or Healthcare domain will be a plus. Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and asso Educational qualification: BE/BTech or MCA Experience : 10-15 years

Data Engineer II Hyderabad, Telangana, India + 2 more locations Date posted Jun 18, 2025 Job number 1829143 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Data Engineering Employment type Full-Time Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Data Analytics, Insights, and Curation team is leading the way at understanding the Microsoft Fabric composite services and empowering our strategic business leaders. We work with very large and fast arriving data and transform it into trustworthy insights. We build and manage pipelines, transformation, platforms, models, and so much more that empowers the Fabric product. As an Engineer on our team your core function will be Data Engineering with opportunities in Analytics, Science, Software Engineering, DEVOps, and Cloud Systems. You will be working alongside other Engineers, Scientists, Product, Architecture, and Visionaries bringing forth the next generation of data democratization products. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Qualifications Required /Minimum Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in business analytics, data science, software development, data modeling or data engineering work o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years' experience in business analytics, data science, software development, or data engineering work o OR equivalent experience 2+ years of experience in software or data engineering, with proven proficiency in C#, Java, or equivalent 2+ years in one scripting language for data retrieval and manipulation (e.g., SQL or KQL) 2+ years of experience with ETL and data cloud computing technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI or equivalent platforms Preferred/Additional Qualifications 1+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Equal Opportunity Employer (EOP) #azdat #azuredata #fabricdata #dataintegration #azure #synapse #databases #analytics #science Responsibilities You will develop and maintain data pipelines, including solutions for data collection, management, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training You will review, design, and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation You will review and write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies You will plan, implement, and enforce security and access control measures to protect sensitive resources and data You will perform database administration tasks, including maintenance, and performance monitoring. You will collaborate with Product Managers, Data and Applied Scientists, Software and Quality Engineers, and other stakeholders to understand data requirements and deliver phased solutions that meet test and quality programs data needs, and support AI model training and inference You will become an SME of our teams’ products and provide inputs for strategic vision You will champion process, engineering, architecture, and product best practices in the team You will work with other team Seniors and Principles to establish best practices in our organization Embody our culture and values Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist · 2 to 3 years of experience in Generative AI solution development · Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. · Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. · Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. · Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. · Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. · Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. · Strong grasp of memory architectures, tool use, and action planning within AI agents. · Autonomy Score: Measures the degree of independence in decision-making. · Collaboration Efficiency: Evaluates the ability of agents to work together and share information. · Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. · Response Time: Measures the latency in agent decision-making and execution. · Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. · Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. · Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. · Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. · Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. · Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. · Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. · Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). · Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. · Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. · Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. · Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. · Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. · Expertise in Python, R, TensorFlow, Keras, and PyTorch. · Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. · Proficiency in advanced statistical methods and transformer-based text processing. · Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails · Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS · Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI · Large Language Models (LLMs): GPT, Educational qualification: BE,BTECH or PHD

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; New Delhi, Delhi, India . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Description: Airbus FHS provides customized services to its Customers (mainly Airlines) ranging from FHS-Component upto a TSP (Tailored Support Program) with the objective to provide airlines with significant inventory management and repair cost savings whilst supporting the improvement of their maintenance and engineering activities to allow an increased aircraft reliability and availability. Accountabilities The Jobholder, as a member of the Flight Hour Services (FHS) entity, reports operationally to the HO Materials - India & South Asia . The job holder functionally reports to the Head of FHS Customer Operations (SMROC) & Head of FHS Supply Chain Operations (SMROC) based in Toulouse . SMROC & SMROS are responsible for the oversight of all the operational management activities related to the FHS and TSP Component contracts, the monitoring of the delivery performance of all improvement action plans, definition of fixes and the monitoring of their implementation / effectiveness. As a reminder the FHS Operations team in India & South Asia is organised into two individual domains for the effective management and oversight of all operational activities related to FHS Operations. Local for Local & Local For Global Customer Support (IISMOC) FHS Customer Operations Team (SMROC - FCOs) - (MEA) South Asia FHS Customer Operations Local For Global Supply Chain Support (IISMOS) Virtual Direct Shipment Officers (SMROS - VDSO) Abnormal Taskforce (SMROS) Component Ageing Taskforce The Jobholder is accountable to: Ensuring daily FHS operational performance, managing the local interface with Customer(s) to secure their satisfaction. Ensuring adherence to contract(s) service level (operational, quality & cost performance) through clear and consistent reporting of Key Performance Indicators. Ensuring Supply of all required operational data to the CPM to secure the overall commercial performance and development of the deal(s) Ensuring Communication on progress of actions plans to resolve supply chain issues to the Customer(s). Entry Into Service planning and work streams management of new Component Deals Ensure Warranty Administration & Coordination with Supplier/Airbus for warranty claim and remedial action with passing benefits to customer(s) (if covered in contract scope) Develop & Ensure Component repair activities within the region including Managing Repair Loop & Coordination with Supplier & customer Ensuring DSO (Direct Shipment Officer) activities on relevant component deals Ensuring Material Planning (TCI Items) Business Administration & General Administration activities are administered under scope of FHS-TSP contract(s) Support Sales campaign in the region as directed & contribute to business development activities in order to enhance regional footprint Monitor the company procedures applicable to the area of work and submit any proposals for such revisions to optimise the quality and effectiveness of those procedures. Resolve operational queries from other departments, Customer & function. Ensure continuous monitoring of all the 12 legs of the Supply chain for any blockages in terms of abnormal transactions, ownerships or part location. Ensuring Virtual DSO (Direct Shipment Officer) team is optimising the AFHS Supply chain management Develop & Ensure Component Supply Chain Improvement activities within the region are aligned with FHS Business Strategy and regionalization footprint Dimensions Subordinate employees (FTE headcount): 11 (AOP 2025) Other dimensions relevant to the position: Fleet currently covered: FCO -AIC, JZR,ETD,MSC,FAD VDSO - ETD,FIN,BAW Main activities Within FHS-TSP & FHS -C contract(s), jobholder is responsible for the organisation and management of Component Operations team which is accountable to: Deliver and monitor the daily operational FHS activities with the customer(s) Ensure respect of contractual performance, service level and customer satisfaction as per FHS agreements and financial results Initiate all appropriate improvement actions to optimise operational performance of the FHS contract(s) Ensure smooth EIS of the FHS services and customer satisfaction with initial operations on new component deal(s) Administer warranty claims on FHS TSP contract(s) as per relevant support clauses & run dashboarding including reporting to customer (If covered in contract) Perform Exchange Ordering, Repair Ordering, AMASIS transactions (as applicable) , Monitor of Shipping & Customs Clearance activities (as applicable) & Direct Shipment Officer activities (On site Or remotely as applicable) related to parts covered under FHS contract (s) Coordinate closely with FTM TSP/CT Technical Records to achieve nominal production & delivery flow (S2S) Perform Material Planning for TCI, Life limited Items based on Forecast issued by TSP-Planning for FHS TSP contract(s) Perform Business Administration & General Administration activities related to execution & monitoring of FHS TSP contract(s) Ensure Abnormal task force team is optimising the Shelf to Shelf for all the AFHS Components in continuous collaboration with Kuala Lumpur and Toulouse teams VDSO -Ensure end-to-end monitoring of Leg 6 for the assigned customers thereby supporting the component supply ecosystem Perform all activities related to repair of FHS Components within the region including but not limited to Coordination with Supplier for meeting TAT, Quality AMASIS Transaction, Repair Loop and Logistics management Coordination with customer for retrieval of Core Unit(s) With regards with management responsibility, jobholder missions consists in: Organisation and staffing of theComponent team as per business requirement. Putting in place and running a group operating model allowing control of business activities (performance, risk…) and associated resources in line with AOS (Airbus Operation System) principles. Ensuring her/his team objectives are defined and manage individual performance of team members. Managing team skills, competences and knowledge. Developing processes, methods and tools with the aim to continuously improve efficiency and quality of services delivered. Actively reports safety related issues and any other CIM related issues, and in relation, participates in the whole process of finding a resolution to avoid future recurrence. Acting with respect to ethics and compliance with Airbus corporate rules. Outputs Component Operations: Contractual performance, service level and customer satisfaction as per FHS C agreements and financial results, Warranty administration, Business & General Administration, Logistics activity as per FHS TSP contract, Sales & Business Development Support for the region, Control of FHS C Regional repair activities Team organisation. Team reporting. Team engagement to reach assigned objectives. Experience, Skills & Competencies Education Degree holder in Aerospace Engineering/Aircraft Maintenance or equivalent Fluent English Technical knowledge: Total aviation experience of 7 Years at a minimum 5+ years of experience in Aviation Logistics environment Experience in working with OEM,Suppliers or MRO Operations. Experience in team management. Leadership Skills. Excellent team spirit. Highly organised and structured Capacity to work in a dynamic environment. Good communication skills and experience in customer management Knowledge of Airline Operations and/or Power by Hour Hour Services related activities is preferred Knowledge of Manufacturer Warranty , Supplier Warranty Management, Airline Logistics and Supply Chain Management is preferred Knowledge of Maintenance Information System principle required. Knowledge on specific Maintenance Information systems (AMASIS, RAMCO, AMOS) desirable. Excellent level of spoken and written English This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus India Private Limited Employment Type: Permanent - Experience Level: Professional Job Family: Material Support & services By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 6,000 associates who sell to every major function, industry and market sector around the world. About the role: The Senior Data Scientist role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. This is an internal consulting team that partners with Gartner’s sales leaders to determine where, when, and how the company should direct its substantial investment in incremental sales professionals. The individual in this role will collaborate with sales leaders to guide strategic investment and go-to-market decisions at regional and global levels. What you will do: Develop State of the art ML models that will help shape investment strategy for our business. Continuous monitoring and evaluation of model performance and metrics. Build and incorporate LLMs/RAG for simplifying user’s experience. Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement What you will need: BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on ML/AI, Information Retrieval a plus) 5+ years’ experience in data science methodologies as applied to live initiatives or software development Minimum 4+ years of experience in python coding and statistical analysis Minimum 2 years working experience in several of the following: State of the art Machine Learning and Predictive modelling (Must have) User behaviour modelling (Must have). Data analytics with multi-dimensional data (Must have) Text mining and Natural Language Processing (Good to have) Generative models (Good to have) Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle. Ability to implement latest ML research to improve our current algorithms Experience with cloud computing services such as AWS or Azure ML Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies What you will get: Competitive salary, generous paid time off policy, charity match program Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-MP4 #GSSO Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:101302 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. GenAI / AI Platform Architect Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. We are seeking an experienced GenAI / AI Platform Architect to define, build, and continuously improve a secure, governable, and enterprise‑grade Generative‑AI platform that underpins copilots, RAG search, intelligent document processing, agentic workflows, and other high‑value use cases. Your responsibilities will include: Own the reference architecture for GenAI: LLM hosting, vector DBs, orchestration layer, real‑time inference, and evaluation pipelines. Design and govern Retrieval‑Augmented Generation (RAG) pipelines—embedding generation, indexing, hybrid retrieval, and prompt assembly—for authoritative, auditable answers. Select and integrate toolchains (LangChain, LangGraph, LlamaIndex, MLflow, Kubeflow, Airflow) and ensure compatibility with cloud GenAI services (Azure OpenAI, Amazon Bedrock, Vertex AI). Implement MLOps / LLMOps: automated CI/CD for model fine‑tuning, evaluation, rollback, and blue‑green deployments; integrate model‑performance monitoring and drift detection. Embed “shift‑left” security and responsible‑AI guardrails—PII redaction, model‑output moderation, lineage logging, bias checks, and policy‑based access controls—working closely with CISO and compliance teams. Optimize cost‑to‑serve through dynamic model routing, context‑window compression, and GPU / Inferentia auto‑scaling; publish charge‑back dashboards for business units. Mentor solution teams on prompt engineering, agentic patterns (ReAct, CrewAI), and multi‑modal model integration (vision, structured data). Establish evaluation frameworks (e.g., LangSmith, custom BLEU/ROUGE/BERT‑Score pipelines, human‑in‑the‑loop) to track relevance, hallucination, toxicity, latency, and carbon footprint. Report KPIs (MTTR for model incidents, adoption growth, cost per 1k tokens) and iterate roadmap in partnership with product, data, and infrastructure leads. Required Qualifications: 10+ years designing cloud‑native platforms or AI/ML systems; 3+ years leading large‑scale GenAI, LLM, or RAG initiatives. Deep knowledge of LLM internals, fine‑tuning, RLHF, and agentic orchestration patterns (ReAct, Chain‑of‑Thought, LangGraph). Proven delivery on vector‑database architectures (Pinecone, Weaviate, FAISS, pgvector, Milvus) and semantic search optimization. Mastery of Python and API engineering; hands‑on with LangChain, LlamaIndex, FastAPI, GraphQL, gRPC. Strong background in security, governance, and observability across distributed AI services (IAM, KMS, audit trails, OpenTelemetry). Preferred Qualifications: Certifications: AWS Certified GenAI Engineer – Bedrock or Microsoft Azure AI Engineer Associate. Experience orchestrating multimodal models (images, video, audio) and streaming inference on edge devices or medical sensors. Published contributions to open‑source GenAI frameworks or white‑papers on responsible‑AI design. Familiarity with FDA or HIPAA compliance for AI solutions in healthcare. Demonstrated ability to influence executive stakeholders and lead cross‑functional tiger teams in a fast‑moving AI market. Requisition ID: 608452 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer SQA – AI/ML Products Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. We are seeking a Software Quality Assurance (SQA) Engineer who will champion the reliability and usability of AI‑driven features, ensuring that machine‑learning models and LLM pipelines deliver safe, accurate, and coherent outcomes. Your responsibilities will include: Develop and execute comprehensive test plans for AI/ML features including chatbots, recommendation engines, RAG search, and copilots. Design and maintain automation frameworks (Selenium, Cypress, Playwright, PyTest) for UI, API, and model‑level testing. Implement evaluation harnesses using LangSmith, RAGAS, LangTest, and custom scripts to score relevance, hallucination, fairness, and toxicity. Validate RAG pipelines end‑to‑end: embeddings, retrieval quality, prompt integrity, and response grounding. Monitor post‑deployment AI performance for drift, regression, and latency; partner with MLOps teams to triage incidents. Collaborate with product managers, data scientists, and engineers to define expected outcomes and edge‑case scenarios. Document test results, file defects, and drive root‑cause analysis to closure. Required Qualifications: 6+ years of software quality assurance or test‑automation experience, including AI/ML products. Proficiency in Python or JavaScript and experience with RESTful API testing (Postman, Swagger). Hands‑on with automation tools such as Selenium, Cypress, Playwright, or PyTest. Knowledge of LLM evaluation frameworks (LangSmith, RAGAS) and vector database APIs. Strong foundation in QA processes: test planning, regression testing, CI/CD integration, and defect lifecycle management. Preferred Qualifications: Experience testing RAG or agentic AI workflows at scale. Familiarity with monitoring solutions for model drift and data drift (Vertex AI, Azure Monitor, Fiddler). Exposure to ethical‑AI or bias‑testing methodologies. Background in healthcare or other regulated domains. Requisition ID: 608453 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we strive to provide only the best travel experiences – to our customers and our clients. Our Sales team works closely with travel agencies, United travel departments, corporate clients and more to provide phenomenal customer solutions that lead to fruitful business relationships. And through valued customer feedback, optimized partnerships, and innovative sales strategies, Sales continues to be the largest revenue-generating department at United. Job overview and responsibilities A self-driven, organized, and detail-oriented individual who is able to manage multiple administrative / process work streams in a timely manner. Candidate is expected to demonstrate the willingness to dig deep into details, prioritize workload, and execute. Developing and maintaining strong relationships with stakeholders around the world as well as ensuring familiarity with the primary objectives of United’s Sales organization is critical. This role will require diligence, thoroughness, and a desire to improve and grow management. Ensure on time delivery of reports, successful completion of processes and projects Improve processes for efficiency and quality through standardization and automation Reporting support to sales team to help them get answers to business problems and decision making Provide ad-hoc solutions to address unique issues that will meet the needs of United and our customers Develops and maintains appropriate report and dashboard information relative to the programs, products and sales channel and is responsible for delivering the information to multiple stakeholders inside and outside Sales e.g. Sales, Audit, Finance, legal, revenue management etc Own a range of sales systems related tasks critical to the accuracy of CRM records (e.g. sales manager portfolio assignments, IATA channel assignments and customer memberships) Create and maintain documentation as required for the process, ensure compliance of respective business processes through robust controls, update of required sales systems and communication to all relevant parties as per the underlying business processes This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree 1-3 years of related experience in reporting, analytics and automation Report development through excel and visualization tools Power BI, Automation through VBA and SQL query for data retrieval and transformation Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Python

GJ Multi Gases supplies high-quality industrial gases, specializing in Ammonia. We are committed to safety, reliability, and customer satisfaction. Job Overview: We are seeking a detail-oriented and organized Administrator Executive Assistant to manage office operations and assist in financial activities. The ideal candidate should have at least 1 year of experience and a solid understanding of Tally software. This role requires multitasking abilities, a proactive approach, and a commitment to supporting the smooth functioning of the office. Key Responsibilities: Administrative Support: Handle general office duties such as managing communications, scheduling appointments, and maintaining records. Ensure smooth day-to-day office operations. Accounts Assistance: Assist in managing financial transactions including billing, invoicing, and expense tracking. Enter financial data into Tally and ensure accurate financial reporting. Document Management: Organize and manage important documents such as invoices, contracts, and employee records. Maintain a filing system for easy retrieval of documents. Communicate with suppliers and service providers regarding invoices, payments, and office supplies. Ensure timely payment to vendors. Track office supplies and re-order as necessary to maintain smooth operations. Assist customers by addressing inquiries, resolving issues, and directing them to the appropriate department or personnel. Support the accounting team in preparing monthly financial reports and assist with basic bookkeeping tasks. Qualifications: Vendor Coordination: Inventory Management: Customer Support: Financial Reporting: Minimum 1 year of work experience in office administration or accounts-related role. Proficiency in Tally accounting software. Strong organizational and multitasking skills. Attention to detail and excellent communication abilities. Basic knowledge of Microsoft Office (Word, Excel, etc.). Salary Range: ₹20,000 Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹25,000.00 per month Benefits: Commuter assistance Provident Fund Schedule: Morning shift Work Location: In person

Job Location- Ghaziabad only (Married female ) Job Responsibilities:- To act as a first point of contact dealing with correspondence and phone calls  To proactively manage and coordinate the diary of the Chief Executive by prioritising and arranging internal and external meetings, ensuring appropriate briefing papers are prepared and provided.  Plan and organize travel and accommodation when required  Maintain effective filling and data storage including emails and retrieval systems ensuring the needs of the Chief executive are met.  To provide full personal assistant support by dealing with all correspondence and calls, drafting routine letters to a high standard, minute meetings, taking messages and other administrative tasks as required to support the Chief Executive.  To provide support for Board of Director meetings by ensuring meetings are properly arranged and serviced. This will include drafting agendas, collating papers and reports, taking minutes and following up action points.  Supporting the Chief Executive to keep the Board of Director informed about the work of the organisation and their appropriate training and induction.  To service meetings of the Senior Management Team by drafting and collating papers and reports, preparing manageable agendas, taking minutes and following up on actions points.  To plan and manage key organisational events such as; AGM, Staff and Volunteer conference, Strategy days, Staff briefings and others as required. For More details please contact to me at 9810159995 Regards- Rashmi Sharma HR Manager Dewan Polycaps Pvt Ltd Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

Job no: 526808 Brand: Product and Technology Work type: Full time Location: Noida, India Categories: Information & Technology Hello, FCM part of FTCG is one of the world’s largest travel management companies and a trusted partner for nationals and multinational companies. With a 24/7 reach in 97 countries, FCM’s flexible technology anticipates and solves client needs, supported by experts who provide in-depth local knowledge and duty of care as part of the ultimate personalised business travel experience. As part of the ASX-listed Flight Centre Travel Group, FCM delivers the best market-wide rates, unique added-value benefits, and exclusive solutions. Winner of the World's Leading Travel Management Company Award at the WTM for nine consecutive years (2019-2011), FCM is constantly transforming the business of travel through its empowered and accountable people who deliver 24/7 service and are available online and offline. FCM has won the coveted Great Place to Work certification for the fifth time ! FCM Travel India is one of India’s Top 100 Great Mid-size Workplaces 2024 and the Best in Professional Services. A leader in the travel tech space, FCM has proprietary client solutions. FCM provides specialist services via FCM Consulting and FCM Meetings & Events. Key Responsibilities : Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. You'll be perfect for the role if you have: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning Work Perks! - What’s in it for you: FCTG is renowned internationally for having amazing perks and an even better culture. We understand that our people are our most valuable asset. It is the passion and dedication of our teams that keep the company on top of the industry ladder. It’s also why we offer some great employee benefits and perks outside of the norm. You will be rewarded with competitive market salary. You will also be equipped with relevant training courses and tools to set you up for success with endless career advancement and job opportunities all over the world. Market Aligned remuneration structure and a highly competitive salary Fun and Energetic culture : At the heart of everything we do at FCM is a desire to have fun and be yourself Work life Balance : We believe in “No Leave = No Life” So have your own travel adventures with paid annual leave Great place to work - Recognized as a top workplace for 5 consecutive years, which is a testimonial of our commitment towards our people Wellbeing Focus - We take care of our employee with comprehensive medical coverage, accidental insurance, and term insurance for the well being of our people. Paternity Leave: We ensure that you can spend quality time with your growing family Travel perks : You'll have access to plenty of industry discounts to ensure you continue to broaden your horizons A career, not a job : We believe in our people brightness of future. As a high growth company, you will have the opportunity to advance your career in any direction you choose whether that is locally or globally. Reward & Recognition : Celebrate the success of yourself and others at our regular Buzz Nights and at the annual Global Gathering - You'll have to experience it to believe it! Love for travel : We were founded by people who wanted to travel and want others to do the same. That passion is something you can’t miss in our people or service. We value you... #LI-JM1#FCMIN#LI-Onsite Flight Centre Travel Group is committed to creating an inclusive and diverse workplace that supports your unique identity to create better, safer experiences for everyone. We encourage you to come as you are; to foster inclusivity and collaboration. We celebrate you. Who we are... Since our beginning, our vision has always been to open up the world for those who want to see. As a global travel retailer, our people come from all different backgrounds, and our connections spread to the far reaches of the globe - 20+ countries and counting! Together, we are a family (we call ourselves Flighties). We offer genuine opportunities for people to grow and evolve. We embrace new experiences, we celebrate the wins, seize all opportunities, and empower all of our people to find their Brightness of Future. We encourage you to DREAM BIG through collaboration and innovation, and make sure you are supported to make incredible ideas a reality. Together, we deliver quality, innovative solutions that delight our customers and achieve our strategic priorities. Irreverence. Ownership. Egalitarianism Applications close: 30 Jun 2025 India Standard Time

Posted On: 18 Jun 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Spark/PySpark Technical hands on data processing Table designing knowledge using Hive - similar to RDBMS knowledge Database SQL knowledge for retrieval of data - transformation queries such as joins (full, left, right), ranking, group by Good Communication skills. Additional skills - GitHub, Jenkins, shell scripting would be added advantage Mandatory Competencies Big Data - PySpark Big Data - SPARK Big Data - Hadoop Big Data - Hive Database - SQL DevOps - Github DevOps - Jenkins DevOps - Shell Scripting Beh - Communication and collaboration Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Key Responsibilities : Oversee and manage day-to-day office operations, ensuring a smooth workflow. Coordinate office activities and events, including meetings, travel arrangements, and office functions. Manage office supplies, procurement, and vendor relationships to ensure the office is well-equipped and maintained. Prepare, review, and manage internal and external communications, such as emails, reports, and presentations. Supervise and mentor junior administrative staff, providing guidance and training as needed. Ensure compliance with company policies, procedures, and regulatory requirements in administrative functions. Act as a point of contact for internal and external stakeholders, handling inquiries and providing timely resolutions. Handle confidential information with discretion and professionalism. Manage and organize filing systems, ensuring the efficient storage and retrieval of documents. Collaborate with other departments to streamline processes and implement improvements. Assist in budget preparation, monitoring expenses, and ensuring cost-effective administrative practices. Take initiative in problem-solving and addressing any operational challenges that may arise. Required Skills & Qualifications : Bachelor’s degree in business administration, Management, or related field (preferred). Minimum of 2 years of experience in administrative roles, with at least 2 years in a senior or supervisory capacity. Strong organizational skills and attention to detail. Excellent written and verbal communication skills. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and office management software. Ability to multitask and prioritize in a fast-paced environment. Strong interpersonal skills and ability to work well within a team. Problem-solving mindset with the ability to handle complex administrative tasks. Discretion and professionalism in handling confidential information. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Schedule: Day shift Work Location: In person

Introduction As a Data Scientist with Gen AI experience at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role And Responsibilities The Data Scientist with Gen AI role is designed for a highly analytical and technically skilled individual who excels in data-driven environments. The candidate should possess a strong background in Python programming, database management, and data science methodologies. This role primarily focuses on leveraging data to drive insights and decision-making. The core responsibilities of the role include a range of data science tasks, such as collecting and cleansing data, exploring, and visualizing insights, and applying statistical and mathematical analysis techniques. It involves developing and implementing machine learning and deep learning models, managing big data infrastructure, and executing data engineering tasks. Additionally, the role requires maintaining codebase integrity through version control and designing, creating, and supporting AI-driven products to deliver impactful AI solutions. Responsibilities Include Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making. Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation. Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference. Developing and implementing machine learning and deep learning models Adaptation of foundation models/LLMs to address specific business challenges. Expertise in ML-Ops / AI-Ops Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives. Preferred Education Master's Degree Required Technical And Professional Expertise Minimum four years of experience in IT industry using data science and generative AI skills High proficiency in Python programming, NLP techniques and experience using AI Framework (e.g. Hugging Face) Knowledge of SQL and NoSQL database management. Strong background in data science, statistics, mathematics, and analytical techniques. Expertise in machine learning and deep learning methodologies Working knowledge and application of foundation models in addition to Fine tuning of LLMs. Familiarity with big data technologies and data engineering practices. Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management. Are able to report and present results to a non-technical audience. This role is ideal for a candidate who is not only technically proficient in data science and generative AI but also skilled in integrating their analytical work with web technologies, cloud computing, and automation. The ability to communicate effectively, manage projects efficiently, and consider the ethical implications of data usage is crucial for success in this role. Preferred Technical And Professional Experience Hands-on experience in data science for four plus years with minimum of 3 years of experience in deep learning Web development skills, including JavaScript and React, for creating sophisticated, interactive data-driven interfaces. Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloud-based services and infrastructure. Excellent communication skills, crucial for effective teamwork, stakeholder engagement, and clear presentation of data insights and technical concepts. Project management experience with a focus on agile methodologies, ensuring efficient, adaptive, and collaborative project execution. Awareness and understanding of ethical considerations in data science and AI, ensuring responsible and fair use of data and AI technologies. Show more Show less

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Architect - Machine Learning Experience: 6 to 9 Years Location: Mumbai/Bangalore/Trivandrum Must Have Skills 6+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Implement and manage MLOps principles and best practices for Gen AI models Thorough understanding of NLP techniques for text representation and modeling Able to effectively design software architecture as required Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Good To Have Skills Experience of working for customers/workloads in the Edtech domain with use cases. Experience with software development If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Overview - We are hiring experienced AI Developers to lead the design, development, and scaling of intelligent systems using large language models (LLMs). This includes building prompt-based agents, developing and fine-tuning custom AI models, and architecting advanced pipelines across various business functions. You will work across the full AI development lifecycle—from prompt engineering to model training and deployment—while staying at the forefront of innovation in generative AI and autonomous agent frameworks. Key Responsibilities: - Design and deploy intelligent agents using LLMs such as OpenAI GPT-4, Claude, Mistral, Gemini, Cohere, etc. Build prompt-driven and autonomous agents using frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex , or custom stacks. Architect and implement multi-agent systems capable of advanced reasoning, coordination, and tool interaction. Incorporate goal-setting, sub-task decomposition, and autonomous feedback loops for agent self-improvement. Develop custom AI models via fine-tuning, supervised learning , or LoRA/QLoRA approaches using Hugging Face Transformers, PyTorch , or TensorFlow . Build and manage Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone, FAISS, Weaviate, or Chroma. Train and evaluate models on custom datasets using modern NLP workflows and distributed training tools. Optimize models for latency, accuracy, and cost efficiency in both prototype and production environments. Create and maintain testing and evaluation pipelines for prompt quality, hallucination detection, and model behavior safety. Integrate external tools, APIs, plugins, and knowledge bases to enhance agent capabilities. Collaborate with product and engineering teams to translate use cases into scalable AI solutions. Required Technical Skills: - 3+ years hands-on experience with large language models, generative AI, conversational systems, or agent-based system development. Proficient in Python , with experience in AI/ML libraries such as Transformers, LangChain, PyTorch, TensorFlow, PEFT , and Scikit-learn. Strong understanding of prompt engineering, instruction tuning , and system prompt architecture. Experience with custom model training, fine-tuning , and deploying models via Hugging Face, OpenAI APIs, or open-source LLMs. Experience designing and implementing RAG pipelines and managing embedding stores. Familiarity with agent orchestration frameworks , tool integration, memory handling, and context management. Working knowledge of containerization (Docker), MLOps , and cloud environments (AWS, GCP, Azure). Preferred Experience: - Exposure to distributed training (DeepSpeed, Accelerate), quantization , or model optimization techniques . Familiarity with LLM evaluation tools (Trulens, LM Eval Harness, custom eval agents). Experience with RLHF, multi-modal models , or voice/chat integrations . Background in data engineering for building high-quality training/evaluation datasets. Experience with self-healing agents, auto-reflection loops, and adaptive control systems . Shift Timing: Night Shift (Fixed timing will be disclosed at the time of joining) Show more Show less

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience working in a complex, matrixed organization. About The Job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

About Us: We at Ascendeum provide Data and AdTech strategy consultation to businesses worldwide. We started our journey with private funding and have been operating profitably since 2015. We are a lean team of 50+ highly productive and smart people spread across various parts of India who have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns. Official Website: https://ascendeum.com/ LinkedIn: https://www.linkedin.com/company/ascendeum/mycompany/ Job Details: • Position: Senior Backend Web Developer • Location: Remote (India) • Employment Type: Full-time Key Responsibilities: Design, develop, and optimize database structures using MySQL / MariaDB to ensure efficient data storage and retrieval. Develop robust web applications using PHP8 and either Laravel or Symfony frameworks. Create intuitive and user-friendly interfaces by leveraging HTML, CSS, and JavaScript, focusing on building a minimal viable interface. Utilize Git for version control, ensuring code integrity and collaboration within the development team. Enhance system performance and automation through Linux-based shell scripting (bash). Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions. Communicate effectively with team members and stakeholders to provide updates, gather feedback, and ensure project alignment. Preferred Skills and Qualifications: Proficiency in database design and optimization with MySQL / MariaDB. Strong command of PHP8 and experience with Laravel and/or Symfony frameworks. Good understanding of HTML, CSS, and JavaScript. Experience with version control systems, particularly Git. Familiarity with Linux environments and proficiency in shell scripting (bash). Exceptional communication skills, both verbal and written. Demonstrated ability to work independently and collaboratively within a team environment. Show more Show less

Amenses Innovation Pvt. Ltd. Office No. 1101, 11th Floor, Skye Corporate Park, Scheme No. 78, Indore, Madhya Pradesh (452001) - INDIA Job Title: SENIOR Python Developer (LLM Agent Development) AI Engineer Job Type: Full-Time Job Experience: 4-6 Years Experience Required: 5+ Years Location: Remote Employment Type: Contract About the Role We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role. You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks. Key Responsibilities • Design, build, and maintain high-performance backend systems using Python. • Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability. • Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines, and other agent frameworks into scalable production environments. • Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability. • Build secure, efficient, and well-documented APIs that integrate with LLM services. • Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency. Required Skills & Qualifications • 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus. • Expert-level Python programming skills. • Proven experience integrating Large Language Models (LLMs) into production systems. • Hands-on experience with: LangChain LangGraph RAG Pipelines Agent Frameworks • Strong understanding of API design, microservices architecture, and production deployment workflows. • Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines. • Background in Machine Learning Engineering is a strong plus. • Excellent problem-solving and debugging skills. • Ability to work independently and deliver high-quality work on time. Nice to Have (Bonus Skills) • Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.) • Familiarity with prompt engineering and LLM fine-tuning. • Experience in serverless architecture and event-driven systems. • Exposure to multi-modal AI systems (text, image, audio). Why Work with AquSag Technologies? • 100% remote work – flexible location. • Work on cutting-edge AI projects with leading LLM companies. • Join a fast-growing team at the forefront of AI integration and intelligent agent development. • Potential for long-term contract extensions based on performance and project needs. Python Developer, Backend Engineer, LLM Integration, LangChain, LangGraph, RAG Pipelines, Agent Frameworks, AI Engineer, Large Language Models, Machine Learning Engineer, Remote Python Jobs, Contract Python Developer, AI Software Engineer, API Developer, Generative AI, GPT, OpenAI, Vector Databases, Prompt Engineering, ML Ops, Remote AI Engineer. Apply Now and be a part of building next-generation AI-powered systems! How to Apply: Send your CV to: hr@amenses.com Contact: 99264-00955, 9669127964 Amenses.com Show more Show less

Job Summary: Talent Worx is looking for a skilled SAC (SAP Analytics Cloud) Specialist with a solid background in data visualization and data analysis. This role involves creating reports, dashboards, and analytics solutions using SAP Analytics Cloud to support business decision-making processes. The ideal candidate should have hands-on experience with SAC, data modeling, and integrating various data sources to drive meaningful insights for stakeholders. Requirements Key Responsibilities: Design, create, and maintain interactive dashboards and reports in SAP Analytics Cloud that provide actionable business insights. Work closely with business stakeholders to gather requirements, understand their analytical needs, and deliver high-quality solutions. Perform data modeling, data preparation, and data blending using SAC to create a seamless analytical experience. Integrate various data sources into SAP Analytics Cloud, ensuring data accuracy and consistency. Conduct training sessions and workshops for team members and stakeholders on SAC features and best practices. Analyze data trends and generate reports that can help drive strategic initiatives within the company. Stay updated on the latest advancements in SAC and data analytics to enhance skills and propose improvements to our analytics processes. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 3 to 6 years of hands-on experience with SAP Analytics Cloud, including dashboard creation and data modeling. Strong understanding of data visualization principles and best practices. Proficient in SQL for data retrieval and manipulation. Knowledge of data integration techniques and experience with various data sources. Excellent communication and collaboration skills to work effectively with cross-functional teams. Problem-solving mindset with a focus on detail and quality. Ability to manage multiple projects and deadlines effectively. Benefits We're hiring for one of the world's leading professional services organizations — part of the prestigious "Big 4" — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services. This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures. If you're passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity. Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries. Show more Show less

Location – preferred New Delhi. Experience level – 6-8 years. Technologies & Tools TIBCO StreamBase – Real-time event processing TIBCO Jasper ETL – Data extraction, transformation, and loading SingleStore Database – Distributed SQL for real-time analytics TIBCO EBX – Master Data Management (MDM) Data Virtualization – Unified data access across systems Roles & Responsibilities Develop real-time data processing pipelines using TIBCO Stream Base for monitoring refinery operations. Design and implement ETL workflows with TIBCO Jasper ETL to support data analytics. Manage and optimize SingleStore databases for high-performance data storage and retrieval . Support master data governance initiatives using TIBCO EBX , ensuring data consistency and quality. Integrate heterogeneous data sources through data virtualization to enable unified access for business users. Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions. Monitor and troubleshoot production systems on Linux and Windows environments to ensure high availability. Document technical designs, workflows, and operational procedures for knowledge sharing and compliance. Show more Show less