5906 Retrieval Jobs - Page 7

Velocity Clinical Research is an owned and integrated research site organization, providing excellence in patient care, high quality data and fully integrated research sites. At Velocity, we align our values and behaviors to give our employees the best chance of delivering on our brand promise to bring innovative medical treatments to patients. We are committed to making clinical trials succeed by generating high quality data from as many patients as possible, as quickly as possible while providing exemplary patient care at every step. As an employee of Velocity, you are the most integral part of our mission. For talented candidates who perform at a high level, Velocity will invest to support career advancement and reward performance. Whether you are new to clinical research or are an industry veteran, we invite you to apply to Velocity. As a key member of our AI team, you will own the end-to-end AI/ML pipelines and be instrumental in integrating Generative AI (GenAI) technologies. You will work with technical product managers, chief data architect, and business users to build and productionize AI and LLM-based models that support data-driven decision-making and smart automation. You will leverage tools such as GitHub Copilot, Cursor, WindSurf, and modern GenAI frameworks to deliver intelligent, scalable solutions. Engineer and manage end-to-end data and AI/GenAI pipelines, including data extraction, cleansing, transformation, training, and model deployment Perform data analysis, LLM prompt design, and fine-tuning Integrate and productionize LLM-based solutions and support RAG pipelines for scalable inference Conduct and iterate on LLM evaluations (Evals) for model accuracy, relevance, and reliability Develop advanced dashboards and visualizations for operational and strategic insights Use dev tools such as GitHub Copilot, Cursor, WindSurf, and others to enhance development productivity Design and implement model monitoring and feedback loop mechanisms to continuously improve system performance and reliability Stay current with the latest in Generative AI, data science, and machine learning to evaluate and apply innovations to projects Education B.Tech in Computer Science or a related field Advanced diploma in Data Science, Machine Learning, or related area Experience 3+ years of experience building and deploying AI/ML models 3+ years of experience in building scalable data pipelines 3+ years in developing advanced visualizations that deliver impactful insights Experience working with LLM APIs (e.g., OpenAI, Hugging Face) Preferred Skills Strong grasp of AI/ML and GenAI techniques including prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluations (Evals) Understanding of vector databases and embedding models Familiarity with cloud-native development (AWS, GCP, Azure) Strong understanding of databases, data lakes, and data warehouses Proficiency with development tools such as GitHub Copilot, WindSurf, Cursor, Replit, and related platforms NOTE The above Job Description is intended to communicate the general function of the mentioned position and by no means should be considered an exhaustive or complete outline of the specific tasks and functions that will be required. Additionally, specific tasks and duties of the position are subject to change as the Company, the department and circumstances change. All employees are expected to perform their duties within their ability as required by the job and/or as requested by management

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.The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it. 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 Summary: We are seeking a highly skilled and innovative Azure AI Engineer with hands-on experience designing and deploying scalable AI solutions using Microsoft Azure services. The ideal candidate will have a strong background in Azure AI Search , Azure Functions , Vector Databases , and advanced orchestration frameworks such as LangChain , LangGraph , or Semantic Kernel . Prior experience or interest in emerging agent-based architectures such as Crew AI or similar agent frameworks is a strong plus. Key Responsibilities: Design, develop, and deploy AI-powered applications using Azure services and modern orchestration tools. Build and maintain AI search experiences using Azure AI Search (formerly Cognitive Search) and integrate with vector-based retrieval systems. Implement serverless compute logic using Azure Functions for scalable and event-driven AI workflows. Work with Vector Databases (e.g., Azure Cosmos DB for vector search, Pinecone, Weaviate) to enable hybrid search and semantic retrieval. Utilize LangChain , LangGraph , or Semantic Kernel to build intelligent agent workflows, autonomous pipelines, and knowledge-based AI systems. Integrate and experiment with Crew AI-like multi-agent coordination and reasoning systems to simulate advanced AI behaviors. Collaborate closely with Data Scientists, Product Managers, and Software Engineers to turn prototypes into production-ready applications. Maintain a strong focus on performance, reliability, and security in cloud-deployed AI systems. Stay current on advancements in AI, LLM orchestration, vector search, and cloud-native machine learning tools. Required Qualifications: 5+ years of experience working with Microsoft Azure services, especially within the AI and Cognitive stack. Hands-on experience with Azure AI Search , Azure Functions , and Azure OpenAI Service . Proficiency in Python or Node.js, with experience integrating AI wrappers like LangChain , LangGraph , or Semantic Kernel . Strong understanding of Vector Databases and their role in semantic search and RAG (Retrieval Augmented Generation) pipelines. Experience building LLM-powered applications using structured frameworks and agents. Solid understanding of modern MLOps, DevOps practices, and cloud-native architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment.

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.

Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Software Engineering Roles – Multiple Levels Level 1: Job Title: Software Engineer | 2-4 Years Of Experience | 5 Positions Level 2: Job Title: Associate Software Engineer | 5-9 Years Of Experience | 3 Positions Level 3: Job Title: Staff Software Engineer | 12-15 Years Of Experience | 2 Positions Location: Chennai, Tamil Nadu, India Duration: FTE / Permanent Type: On-Site The Challenge: We are looking for skilled Software Engineers at multiple levels to join our team, where you'll play a key role in developing and maintaining high-performance, event-driven systems for real-time applications. You'll work closely with the team to implement microservices, optimize code performance, and contribute to the overall success of our technical projects. Tech Stack to Focus: • JAVA • Spring Boot • Microservices • Kafka • Hadoop • SQL and NoSQL Roles & Responsibilities: Component Development: Collaborate in developing and maintaining components of high-performance, real-time systems, following the guidance of senior team members. Microservices Implementation: Build microservices using Java, Python, or Go, adhering to established architectural patterns for scalability and resilience. Performance Optimization: Enhance code performance by focusing on efficient memory management, concurrency, and I/O operations to meet demanding performance standards. Database Management: Work with both SQL and NoSQL databases to create efficient data storage and retrieval solutions for high-volume environments. Real-Time Analytics: Assist in developing real-time analytics features, contributing to the creation of insightful visualizations for stakeholders. Monitoring & Alerting: Participate in developing monitoring and alerting solutions, with a focus on key performance indicators and system health metrics. Infrastructure as Code (IaC): Support the implementation of IaC practices, helping to create and maintain deployment scripts for consistent and reliable deployments. Container Orchestration: Contribute to container orchestration strategies, focusing on efficient resource utilization and auto-scaling. Caching & Data Access: Implement and optimize caching strategies and data access patterns to improve system responsiveness. Code Reviews: Engage in code reviews, offering constructive feedback and incorporating suggestions to enhance code quality. Production Support: Assist in troubleshooting and resolving production issues, including participating in on-call rotations as required. Technical Documentation: Contribute to technical documentation, ensuring that system designs and implementations are clearly documented. Proof-of-Concept Projects: Participate in proof-of-concept initiatives, researching and implementing new technologies under the guidance of senior engineers. Knowledge Sharing: Actively participate in team knowledge-sharing sessions, presenting on new technologies and best practices. Essential Skills & Requirements: Educational Background: Bachelor’s degree in Computer Science or a related field. Technical Proficiency: Strong skills in at least one major programming language (Java, Python, or Go), with a focus on writing clean, maintainable code. Microservices & Event-Driven Systems: Experience with microservices architecture and event-driven systems. Distributed Systems: Solid understanding of distributed systems concepts and associated challenges. Database Skills: Practical experience working with both SQL and NoSQL databases. Cloud & Containerization: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker. Big Data: Basic understanding of big data technologies such as Hadoop, Spark, or Kafka. Version Control & CI/CD: Experience with version control systems (preferably Git) and CI/CD pipelines. Problem-Solving: Strong problem-solving abilities and experience in debugging complex issues. Communication & Teamwork: Excellent communication skills and a proven ability to work effectively within a team. Continuous Learning: Eagerness to learn new technologies and adapt to changing methodologies. Agile Practices: Basic understanding of agile development practices

Role-AI/ML Engineer Mandatory Skills - Python, ML libraries (Pytorch, Tensorflow), Gen AI, Kubernetes, NLP Good to have skill- MLOps Location: Hyderabad Only Work Type-Work from Office (5 Days in a week) Experience-4 to 8 Yrs. Skills Required - Strong programming skills in Python, Java, Spring Boot, or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Familiarity with information retrieval techniques (BM25, vector search, learning-to-rank). Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

Job Title: AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex) Location: Pune Experience: 1-2 Years Employment Type: Full-time Working Mode : Work from office Working Day : Monday to Friday About The Role We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models. Key Responsibilities Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc. Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Required Skills & Experience 1+ years of hands-on experience in Python development for AI/ML applications. Solid understanding of large language models, prompt engineering, and model fine-tuning. Proficient with LangChain and LlamaIndex for building composable LLM workflows. Experience building RAG systems, including retrieval, chunking, embedding, and context injection. Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. Experience with Hugging Face Transformers, OpenAI, or similar model providers. Good understanding of REST APIs, microservices architecture, and deploying AI services in production. Nice To Have Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services. Experience with LangGraph, AutoGen, or similar agent orchestration frameworks. Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow. Understanding of data privacy, security, and ethical AI principles. Computer Vision Qualification: BE/Btech/MCA/MSC Benefits Work with state-of-the-art AI and LLM technologies Access to training, certifications, and conferences in AI/ML Collaborative and innovative work culture

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Company Description The Association of Business Women in Commerce & Industry (ABWCI) is a global chamber dedicated to empowering women in business. We foster equity and inclusive prosperity through a supportive ecosystem. Our commitment includes providing access to investment capital, trade networks, and entrepreneurial education. ABWCI advocates for policies that create women-centric entrepreneurial ecosystems, aiming to foster a thriving society. Role Description This is a full-time, on-site role for an AI Full Stack Developer located in New Delhi. The AI Full Stack Developer will be responsible for both front-end and back-end web development tasks. The developer will work on designing, implementing, and maintaining web applications, ensuring seamless integration of AI functionalities. Day-to-day activities include coding, debugging, collaborating with team members, and staying updated with emerging technologies. Qualifications Front-End Development skills, including proficiency in HTML, CSS, and JavaScript Back-End Web Development skills, with experience in server-side languages and database management Proficiency in HTML, CSS, JavaScript/TypeScript, TailwindCSS or Bootstrap Proficiency in Node.js , Express.js , FastAPI , or Django Strong command of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) Knowledge of ETL pipelines , data preprocessing , and streaming data API design and consumption (REST/GraphQL) Integrate ML models using APIs or containers (FastAPI, Flask, BentoML) Familiarity with Python ML tools: TensorFlow, PyTorch, or Scikit-learn 3-4 years of expertise in Full-Stack Development , encompassing both front-end and back-end development including AI integration. Strong experience in Software Development, including knowledge of software development lifecycle and best practices Experience with AI technologies and their integration into web applications is a plus Proficiency with AWS , GCP , or Azure for full-stack & AI workloads Experience using cloud-native AI tools (e.g., AWS SageMaker, Google Vertex AI) API integrations with OpenAI , Anthropic , or Hugging Face Hub Hands-on experience with Docker , Kubernetes , and container orchestration Implementing secure authentication (OAuth2, JWT, SSO) Understanding of rate limiting, load balancing, and threat mitigation, performance tuning, caching (Redis, CDN), and lazy-loading for scalability Strong experience in developing and deploying AI/ML systems using frameworks like TensorFlow and PyTorch, with expertise in NLP (Transformers, spaCy), deep learning, LLMs (e.g., GPT, Claude), RAG pipelines, embedding models, and vector databases such as FAISS and Pinecone Unit, integration, and E2E testing with tools like Jest , PyTest , Selenium Consume and deploy ML/AI models via APIs or microservices Excellent problem-solving abilities and attention to detail Ability to work collaboratively in a team and communicate effectively Bachelor's degree in Computer Science, Engineering, or related field Bonus/Preferred Qualification Experience with LLMs and RAG (Retrieval-Augmented Generation) systems Contributions to open-source ML projects Certification in AI/ML or Cloud Platforms Experience in AI model serving , monitoring , and MLOps Perks & Benefits Competitive Salary Opportunity to work on cutting-edge AI-driven products You will be allowed to use co-pilots for development, we just want the work done as quick as possible! Location In-office, New Delhi All in all, we want some one who can develop websites and digital products from scratch and integrate AI system to introduce scalable and predictive systems with modern machine learning, front end and back end development, as a whole Full Stack Engineer with modern AI deployment skills. Join us, if you want to make an impact in a new world of opportunities!

We are looking for a creative and detail-oriented Graphic Designer to join our team. The role involves creating social media posts, brochures, and branding materials as per the company’s requirements. Key Responsibilities: Design engaging graphics for social media posts, stories, and campaigns. Create brochures, flyers, and other print materials as required. Edit basic videos and reels for digital platforms. Ensure consistency with brand guidelines across all designs. Collaborate with the marketing team for campaign planning and execution. Manage and organize design files for easy retrieval and updates. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Education: Diploma (Required) Experience: Graphic design: 3 years (Required) Location: Kollam, Kerala (Preferred) Work Location: In person

Mission: Ship fast, reliable AI (LLM + retrieval) features that users pay for. No vanity research. What You’ll Do Prototype & ship LLM features (chat, summarization, transform) weekly. Design & version prompts, add guardrails, run A/B + regression tests. Build lean RAG loops (ingest → chunk → embed → vector store → answer). Add evaluation harness (quality, hallucination, latency, token cost). Implement & secure lightweight FastAPI/Node endpoints (auth, rate limits, logging). Monitor latency, cost/user, error rates; add semantic + response caching. Redact PII; handle secrets & access keys safely. Write short decision notes & maintain prompt registry. Job Type: Contractual / Temporary Contract length: 4 months Pay: ₹11,796.23 - ₹88,885.64 per month Work Location: In person

Position: Trainee – Process Support (Freshers) We are looking for a proactive and detail-oriented Trainee – Process Support to join our team. This entry-level role is ideal for fresh graduates who are eager to build a career in process management and client support. The successful candidate will work closely with the client relations team to organize and manage process-related documentation, ensuring accuracy and timely execution of administrative tasks. Key Responsibilities: Assist in the preparation, review, and updating of client-related documents and process records Collaborate with internal teams to gather and verify necessary data and reports Support the client relations team in maintaining communication logs and document tracking systems Ensure proper storage and easy retrieval of documents in line with company protocols Maintain confidentiality and adhere to company policies and data protection regulations Qualifications: Recent graduate with a degree in BBA, MBA, or B.Com Proficient in Microsoft Office Suite (Word, Excel, Outlook) Strong written and verbal communication skills Excellent attention to detail and strong organizational skills Willingness to learn and work effectively in a collaborative team environment Job Types: Full-time, Permanent, Fresher Benefits: Health insurance Paid time off Provident Fund Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 21, 2025, 2:57:18 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE In this essential role, you will be serving as Amgen’s Digital Asset Management (DAM) librarian. As a cross-functional position, you will collaborate closely with Regulatory Operations, engage with marketing teams as well as creative agencies to drive key commercial objectives. The day-to-day duties of this role will involve the quality checks of various promotional creative files, perform art buying services for Amgen’s marketing teams, and engaging creative agencies to coordinate the collection of core digital assets. A strong proficiency in graphic design and video editing software—such as Adobe Creative Suite, Premiere Pro, and After Effects—is critical for success in this role. Additionally, experience with Veeva PromoMats is essential. Roles and Responsibilities: Evaluate creative file submissions and system metadata of marketing materials, ensuring completeness, accuracy, and compliance with licensing requirements. Collaborate with creative agencies and marketing teams to oversee the renegotiation, renewal and collection of usage rights for marketing materials. Leverage company subscriptions to provide art procurement services in support of Amgen’s marketing initiatives. Retrieve, validate, and distribute digital asset packages to agencies and marketing teams, utilizing Amgen’s various data repositories. Facilitate and participate in stakeholder meetings to ensure adherence to Digital Asset Management (DAM) timelines and processes. Maintain and manage records in Veeva and SharePoint; prior experience with SharePoint and Veeva Business Admin certification preferred. Led and facilitate Webex/MS Teams meetings, including agenda preparation and accurate documentation of meeting minutes. Create infographics and presentation materials; perform technical editing and proofreading of process documentation. Required Knowledge and Skills: Fluent with Veeva PromoMats and RIM. Proficiency in Veeva digital asset management (DAM) systems and experience handling various file types, metadata, licensing agreements, and usage rights. Strong knowledge of Adobe Creative Suite (Photoshop, Illustrator, InDesign), Premier Pro, After Effects, as well as other design tools. Proficient in Microsoft Office Suite, including PowerPoint, Visio, Excel (with pivot tables), and Word. Familiarity with digital asset management (DAM) best practices, including asset tagging, archiving, and retrieval within Veeva, SharePoint, and BOX. Strong understanding of Veeva workflows, including initiating, reviewing, approving, and routing materials through the appropriate lifecycle stages. Proficiency in Veeva PromoMats and RIM with hands-on experience navigating the platform to manage promotional and medical content. Experience performing quality control (QC) checks on submitted materials to ensure compliance with US regulatory, legal, and brand standards. Ability to update and maintain metadata accurately within Veeva PromoMats and RIM, ensuring consistency with naming conventions, taxonomy, and version control requirements. Knowledge of compliance and US FDA regulatory requirements for promotional materials in the pharmaceutical or life sciences industry. Experience troubleshooting and resolving metadata or workflow issues, including collaboration with cross-functional teams (e.g., Regulatory, Marketing, or Creative Agencies). Detail-oriented mindset with the ability to identify discrepancies and ensure data integrity across documents and metadata fields. Comfortable working in a fast-paced, highly regulated environment, managing multiple tasks and priorities within tight deadlines. Strong communication skills to effectively liaise with stakeholders and provide guidance on Amgen’s Veeva PromoMats processes and best practices. Proven ability to manage multiple projects simultaneously while meeting deadlines and adhering to established processes. MS Outlook inbox management, including organizational skills, creating email rules, and standard email templates. Develop and maintain clear, structured process documents, SOPs, and workflow guides. Design and run periodic and ad hoc reports using Veeva’s reporting functionality to support leadership in the analysis and interpretation of performance data. Preferred Knowledge and Skills: Bachelor’s degree in graphic design, visual arts, marketing, or a related creative field. Minimum of +2 years of experience in marketing, pharmaceutical, or healthcare industries, with a strong understanding of creative design for promotional materials. Experience collaborating with creative agencies and cross-functional teams to facilitate the collection, transfer and distribution of marketing materials. Excellent attention to detail and ability to conduct thorough quality control checks on creative files for promotional content. Understanding of FDA regulations and compliance requirements related to marketing materials and submissions. Strong analytical and problem-solving skills to ensure accuracy in digital asset retrieval, troubleshooting file issues, validation, and distribution. Effective communication and stakeholder management skills to lead and participate in discussions regarding DAM timelines and creative file submission approvals. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We are looking for a highly motivated GenAI Engineer with strong hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. You’ll help design, build, and extend digital products and creative applications that leverage the latest in LLM technologies. You will play a lead role in product development & offering AI services to clients, client onboarding, and delivery of cutting-edge AI solutions, working with a range of modern AI tools, cloud services, and frameworks. Experience: 2 + Years Location: Mohali, Punjab Work Mode: On-site Timings: 10:00 AM – 7:00 PM (Day Shift) Interview Mode: Face-to-Face ( On-Site) Contact: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) How to Apply: If you're passionate about SEO and eager to work in a dynamic and innovative team, we want to hear from you! Send your updated resume to hr@webtunix.com Key Responsibilities: Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision. Develop, enhance, and scale digital products leveraging LLMs at their core. Lead product development and operations teams to implement GenAI-based solutions. Design and manage client onboarding, rollout, and adoption strategies. Deliver and maintain enhancements based on client-specific needs. Build and maintain RAG pipelines and LLM-based workflows for enterprise applications. Manage LLMOps processes across the entire AI lifecycle (prompt design, fine-tuning, evaluation). Work with cloud-based GenAI platforms (primarily Azure OpenAI, but also Google, AWS, etc.). Implement API integrations, orchestration, and workflow automation. Evaluate, fine-tune, and monitor performance of LLM outputs using observability tools. Required Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field — or equivalent hands-on experience. Minimum 2 years of hands-on experience in software development or applied machine learning. Proficiency in Azure AI services, including: Azure OpenAI (GPT-4, Codex, etc.) Azure Cognitive Services Azure Machine Learning for model development and deployment Proven experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Claude, etc.). Solid hands-on experience in building and deploying RAG pipelines. Proficiency in Python and strong knowledge of Python ecosystems and libraries. Familiarity with core GenAI frameworks: LangChain, LangGraph, LiteLLM, LlamaIndex, etc. Experience with vector databases: FAISS, Milvus, Azure AI Search, AWS Kendra, etc. Practical knowledge of embeddings, model registries (e.g., Hugging Face), and LLM APIs. Experience in prompt engineering, tool/function calling, and structured outputs (Pydantic/JSON Schema). Exposure to LLM observability tools: LangSmith, LangFuse, Opik, etc. Strong Git, API, and cloud platform (AWS, GCP, Azure) experience. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Monday to Friday Experience: Gen AI Engineer: 2 years (Required) Work Location: In person

Job Title: Python AI Developer Location: [On-site] Experience Required: Minimum 1 year Job Overview We are looking for a highly motivated and skilled Python AI Developer who has hands-on experience in building AI-driven applications, particularly using RAG (Retrieval-Augmented Generation) frameworks, LLMs (Large Language Models) , and modern AI agentic systems. The ideal candidate should have practical experience with frameworks like Ollama, LangChain, or similar , and a solid understanding of AI Agents and Agentic Architectures . Key Responsibilities Design, develop, and deploy AI-powered solutions leveraging RAG pipelines and LLMs . Work with Ollama, LangChain , or similar frameworks to build intelligent conversational agents. Implement and optimize AI Agent and Agentic Agent architectures for various projects. Integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. Collaborate with cross-functional teams to translate business requirements into technical implementations. Write clean, modular, and well-documented Python code . Perform research and prototyping of new AI technologies to enhance current solutions. Required Skills & Experience Minimum 1 year of experience as an AI/ML or Python Developer. Strong proficiency in Python and libraries like FastAPI, Flask, or Django. Hands-on experience with RAG architectures and LLMs (OpenAI, LLaMA, Falcon, etc.). Experience with Ollama, LangChain, or other AI frameworks . Knowledge of AI Agents and Agentic Agent systems (e.g., Auto-GPT, BabyAGI, CrewAI). Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus). Good understanding of NLP pipelines, embeddings, and model fine-tuning. Experience with APIs, cloud services (AWS/GCP/Azure), and containerization (Docker). Problem-solving mindset and ability to work independently on AI projects. Preferred Qualifications (Nice to Have) Prior contributions to open-source AI agentic frameworks. Knowledge of advanced prompt engineering techniques. Exposure to RAG-enhanced chatbots and document Q&A systems. Understanding of MLOps and model deployment pipelines. What We Offer Competitive salary based on skills and experience. Opportunity to work on cutting-edge AI projects with RAG and LLM integrations. A collaborative, innovation-driven environment with career growth potential. Flexible working hours and remote-friendly culture. Job Type: Full-time Pay: ₹16,480.46 - ₹68,391.47 per month Experience: Python: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Backend developer Quick Apply https://goodspace.ai/jobs/backend-developer?id=28368&source=campaign_Indeed-Kritika_Backenddeveloper-2836 Years of Experience-1-3 Years LocationDelhi, IndiaKey SkillsJavaNode.jsPythonSqlDockerRESTful APIs Job Description About the Role: We are looking for a skilled Backend Developer to join our dynamic team and take ownership of the backend infrastructure for our application. The ideal candidate will have experience working with AWS services, Node.js, and the Serverless framework, and be capable of designing scalable, secure, and efficient backend solutions. Key Responsibilities: * Develop, deploy, and maintain serverless backend APIs using AWS Lambda and API Gateway * Design and manage scalable databases using DynamoDB * Handle file storage and retrieval with AWS S3 * Implement backend logic and integrations using Node.js * Ensure best practices for security, performance, and scalability * Collaborate with the frontend team to integrate APIs and troubleshoot issues * Monitor, debug, and optimize backend performance Required Skills: * Strong proficiency in Node.js * Hands-on experience with AWS services: Lambda, API Gateway, DynamoDB, S3 * Proficiency with the Serverless Framework * Knowledge of RESTful APIs and best practices * Familiarity with CI/CD, logging, and monitoring tools * Good problem-solving and communication skills Quick apply: Job Type: Full-time Pay: ₹900,000.00 - ₹1,200,000.00 per year Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9646963015

Summary Position Summary Deloitte Support Services India Private Limited USI Delivery Center - Knowledge Services Collection Curation - Analyst Do you like working with people associated with an organization that enables flow of knowledge and expertise to our client service professionals around the world? Then this might be the perfect opportunity for you. Collection Curation team is looking for highly motivated individuals with expertise in communications, attention to detail, positive attitude, presence, and ability to interact across many levels to support delivery of projects with Deloitte member firms around the world. Work you’ll do As a part of this team, you will be responsible for: Deliver on aligned collection curation topics Conduct basic internal and external research on topic for understanding of key trends and potential scope. Conduct basic research, and analysis to identify topic trends which may impact Collection scope using internal portals and secondary/third-party research databases such as Factiva, Hoovers, OneSource, Thomson, and industry journals etc. Demonstrate good understanding of aligned industry/business Curate topic aligned content from internal portals Prepare intermittent deliverables for covering current content counts; usage; freshness; gaps; experts Conduct outreach for content based on Collection priorities Manage intranet portals for Collections by supporting activities including content management, optimization, and sourcing Ensure content pertaining to Collections on the repositories and the web portal is tagged with proper metadata, taxonomy values for easy search and retrieval Contribute various documents to aligned repositories Act as super delegate to assist with, and collaborate with practice/business teams to drive people profile completion Perform content usage analysis using available metrics reports, identify trends, and determine content archival, acquisition and promotion strategies for Collections to share with curator to inform curation priorities Manage knowledge sharing through various communities of practice, micro-blogging tools and other collaboration spaces Project/ Process management Support the curator and the senior member to plan and engage in activities for building and launching Collection content Demonstrate good communication and presentation skills, and ability to create process documents and training materials Focus on quality and strict adherence to governance guidelines and standards The team The Collection Curation Team works closely with global Deloitte practitioners to acquire and publish content related to key topics across Businesses and Industries to the global management portal and manage the topic related intranet sites. This content is intended to help Deloitte practitioners find relevant content just in time to win new projects and deliver quicker and quality deliverables to their clients. Qualifications Mandatory skills: Graduate / Bachelors degree with more than 3 years of relevant experience Educational qualification in Business Administration, English Language, Mass Communication, Humanities, Library Sciences, Commerce, Information Systems or similar Experience in Secondary research : Summary of skills: Core Capability Skills Interpersonal Skills Secondary research Customer engagement/relationships Content curation skills Process Excellence Basic to intermediate proficiency in MS Office Suite (Excel, PowerPoint and Word) Team player SEO Conflict Management Taxonomy Decision Making SharePoint Time management Photoshop Networking Tableau Dashboards Data/Metrics Analysis Intranet Social Media technologies Experience with one or more business/industry (added advantage) Key skills: Good understanding of aligned Industry/Business/Topics and ability to sift through differing industry terms. Intermediate secondary research skills - ability to synthesize large amounts of quantitative and qualitative data and integrate into meaningful reports and recommendations Proficiency in understanding and utilizing GenAI tools Demonstrate understanding knowledge of Content Management platforms Demonstrate understanding of intranet social media tools Showcase basic understanding of content management life cycle, client confidentiality, taxonomy, search Detail-oriented to identify relevant content Understanding of metrics and analytics interpretation Excellent verbal and written communication skills with ability to influence appropriate outcome Attention to detail and delivers high quality deliverables Be able to work independently and as part of a team with professionals at all levels Be able to prioritize tasks, work on multiple assignments, and raise concerns/questions where appropriate Ability to work across cultures and in a virtual environment Self-motivated and strong team player Ability to build networks within the organization Effectively leverage internal social media & collaboration tools to connect people-to-people and people-to-content Location: Hyderabad Work timings: 11AM to 8PM How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities.We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EAG-Core Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306875

Summary Position Summary Deloitte Support Services India Private Limited USI Delivery Center - Knowledge Services Collection Curation - Analyst Do you like working with people associated with an organization that enables flow of knowledge and expertise to our client service professionals around the world? Then this might be the perfect opportunity for you. Collection Curation team is looking for highly motivated individuals with expertise in communications, attention to detail, positive attitude, presence, and ability to interact across many levels to support delivery of projects with Deloitte member firms around the world. Work you’ll do As a part of this team, you will be responsible for: Deliver on aligned collection curation topics Conduct basic internal and external research on topic for understanding of key trends and potential scope. Conduct basic research, and analysis to identify topic trends which may impact Collection scope using internal portals and secondary/third-party research databases such as Factiva, Hoovers, OneSource, Thomson, and industry journals etc. Demonstrate good understanding of aligned industry/business Curate topic aligned content from internal portals Prepare intermittent deliverables for covering current content counts; usage; freshness; gaps; experts Conduct outreach for content based on Collection priorities Manage intranet portals for Collections by supporting activities including content management, optimization, and sourcing Ensure content pertaining to Collections on the repositories and the web portal is tagged with proper metadata, taxonomy values for easy search and retrieval Contribute various documents to aligned repositories Act as super delegate to assist with, and collaborate with practice/business teams to drive people profile completion Perform content usage analysis using available metrics reports, identify trends, and determine content archival, acquisition and promotion strategies for Collections to share with curator to inform curation priorities Manage knowledge sharing through various communities of practice, micro-blogging tools and other collaboration spaces Project/ Process management Support the curator and the senior member to plan and engage in activities for building and launching Collection content Demonstrate good communication and presentation skills, and ability to create process documents and training materials Focus on quality and strict adherence to governance guidelines and standards The team The Collection Curation Team works closely with global Deloitte practitioners to acquire and publish content related to key topics across Businesses and Industries to the global management portal and manage the topic related intranet sites. This content is intended to help Deloitte practitioners find relevant content just in time to win new projects and deliver quicker and quality deliverables to their clients. Qualifications Mandatory skills: Graduate / Bachelors degree with more than 3 years of relevant experience Educational qualification in Business Administration, English Language, Mass Communication, Humanities, Library Sciences, Commerce, Information Systems or similar Experience in Secondary research : Summary of skills: Core Capability Skills Interpersonal Skills Secondary research Customer engagement/relationships Content curation skills Process Excellence Basic to intermediate proficiency in MS Office Suite (Excel, PowerPoint and Word) Team player SEO Conflict Management Taxonomy Decision Making SharePoint Time management Photoshop Networking Tableau Dashboards Data/Metrics Analysis Intranet Social Media technologies Experience with one or more business/industry (added advantage) Key skills: Good understanding of aligned Industry/Business/Topics and ability to sift through differing industry terms. Intermediate secondary research skills - ability to synthesize large amounts of quantitative and qualitative data and integrate into meaningful reports and recommendations Proficiency in understanding and utilizing GenAI tools Demonstrate understanding knowledge of Content Management platforms Demonstrate understanding of intranet social media tools Showcase basic understanding of content management life cycle, client confidentiality, taxonomy, search Detail-oriented to identify relevant content Understanding of metrics and analytics interpretation Excellent verbal and written communication skills with ability to influence appropriate outcome Attention to detail and delivers high quality deliverables Be able to work independently and as part of a team with professionals at all levels Be able to prioritize tasks, work on multiple assignments, and raise concerns/questions where appropriate Ability to work across cultures and in a virtual environment Self-motivated and strong team player Ability to build networks within the organization Effectively leverage internal social media & collaboration tools to connect people-to-people and people-to-content Location: Hyderabad Work timings: 11AM to 8PM How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities.We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EAG-Core Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306876

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We’re looking for a Principal Engineer to join the Cortex SRE Production team at our India Development Center (IDC). This is a high-impact role where you’ll collaborate with global SRE and DevOps teams to enhance visibility, reliability, and automation across our production infrastructure via tooling and platform development. Your Impact As a Principal Engineer in the Global SRE Automation group, you will shape the future of infrastructure reliability, scale, and developer productivity. You will lead the design and development of cloud-native automation tools, streamline operational workflows, and embed resilience into every layer of the platform. You will: Architect and build automation systems that support self-healing, observability, and service-level assurance Contribute to the developer experience and internal tooling ecosystem, driving reliability through code Influence the SRE strategy by introducing innovations in cloud-native backend services, Kubernetes automation, and platform engineering Partner with global teams to deliver reliable infrastructure, integrating AI models, event-driven systems, and data pipelines to unlock operational insights Set standards for code quality, system design, and operational excellence across the organization Qualifications Your Experience 10+ years of experience in Cloud Engineering, DevOps, or Infrastructure Software Development, with a strong focus on automation, reliability, and platform scalability Deep expertise in AWS and Google Cloud Platform (GCP), with strong understanding of networking, compute, serverless, and cost-optimization services Proficient in Python or Go, with a solid grasp of modern backend development frameworks (e.g., Flask, FastAPI, Gin) and cloud-native application design Hands-on experience building RESTful APIs, microservices, and cloud-native platforms supporting high availability and self-service Designed and integrated Generative AI and LLM-based pipelines, including Retrieval-Augmented Generation (RAG), into internal tooling and operational systems to enhance developer productivity and incident response Applied predictive analytics, anomaly detection, and MLOps for use cases such as cost forecasting, capacity planning, and proactive incident management Built and optimized Cloud FinOps tooling to monitor usage patterns, reduce waste, and provide actionable insights into cloud spend Developed AI-driven automation agents (bots) for cloud operations, alert triage, knowledge retrieval, and ticket deflection Strong experience with: Infrastructure-as-Code: Terraform, CDK Kubernetes: Cluster lifecycle management, Helm/Kustomize, GitOps (ArgoCD) CI/CD pipelines, observability frameworks (Prometheus, Grafana, ELK), and SRE tooling for incident automation Proficient in SQL and NoSQL databases, such as PostgreSQL and Elasticsearch Exposure to Kafka and event-driven architectures for real-time data streaming and integration. Excellent problem-solving, debugging, and systems design skills Demonstrated leadership in cross-functional engineering teams, including mentoring, architectural guidance, and influencing long-term platform direction Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest-growing cybersecurity company, the curve is the evolution of cyberattacks and access technology and the products and services that dedicatedly address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks and enabling secure access to all on-prem and cloud applications. They are constantly innovating – challenging the way we, and the industry, think about Access and security. These engineers aren’t shy about building products to solve problems no one has pursued before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled chance to create the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people and products can transform a business, this is the team for you. If the prospect of affecting tens of millions of people, enabling them to work remotely securely and easily in ways never done before, thrill you - you belong with us. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Summary of the Role: As a Research Engineer, AI at TR, you will be responsible for building AI systems. We are looking for people with solid engineering skills, system engineering and a focus on outcome-driven work ethics. About You: You are a great fit for this role, if you Have strong programming skills in Python Have experience building Agentic Systems Are excited by research and development in the space of Agentic Systems Have prior experience building for Content Have experience building high-performance implementation of AI/ML based solutions About the Role Explores emerging technology and how it can be applied to solve complex, non-trivial problems Responsible for whole components or subsystems including the design and development May direct the efforts of others during design and implementation Implement algorithms and develop systems for information retrieval, machine learning, information extraction, text categorization, text mining, or related areas in the context of large online delivery environments. Create processing pipelines Extract and transforming data Design and Implement end to end AI based solutions, following standard industry practices for software development lifecycle Work with research scientists to Implement methodologies to evaluate model performance Work with other software teams to help Design required integration with other IT systems for the end-to-end ML solutions Integrating and testing research code Building control logic and workflows that realize the end to end AI-based solution Testing and packaging solutions for delivery #LI-AD1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

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). 3 years of experience in a technical leadership role, overseeing projects, with 3 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex and matrix organization. About the job Like Google's own ambitions, the work of a Software Engineer goes way 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. As a Software Engineering Manager for Multi-Device Data Infrastructure’s Bengaluru, you will lead the strategy to build a new engineering team focused on accelerating key segments of our device agent platform strategy. You will foster a collaborative team environment, working with teams across Google on high priority initiatives, and building and powering new AI experiences in collaboration with Product Areas (PAs) across the company. Making the world's information universally accessible and useful doesn't stop at the desktop. The Mobile team builds tools to get you the information you need no matter where you are. Android has become the world's most popular mobile ecosystem, powering billions of devices, from smartphones to tablets, watches to TVs and everything in between. Whether adding to the core Android experience, forging new markets for digital content, creating immersive and portable versions of our products or managing relationships with a global community of developers, the Mobile team is giving you Google on the go. Responsibilities Lead and manage the development and execution of key work-streams in the device agent platform strategy. Build consensus and goals within the team and across collaborating teams. Work within timelines and product launches. Collaborate across various Product Areas (PAs), including DeepMind, Platforms and Devices, Research, and Search. Foster a culture of continuous learning and collaboration. 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.