4114 Retrieval Jobs - Page 37

Job Summary : The Senior Principal Software Engineer is a seasoned professional responsible for designing and delivering scalable, high-quality software solutions. This role demands a hands-on expert who writes maintainable, clean, and well-tested code while advocating for industry best practices in software development. The Senior Principal Software Engineer plays a pivotal role in architecting enterprise-grade applications, guiding technical teams, and ensuring adherence to coding standards and modern development methodologies. As a key leader, the Senior Principal Software Engineer collaborates closely with stakeholders, including business analysts and technical teams, to develop highly configurable applications that align with business goals. This position also emphasizes mentorship, fostering technical excellence, and driving continuous improvement through innovation and the adoption of cutting-edge tools and technologies. This job description in no way states or implies that these are the only duties to be performed by the employee in this position. Employee will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments Key Responsibilities: Work on Complex Manufacturing Domain Work and lead the development of large and complex enterprise-level applications. Develop a deep understanding of Manufacturing concepts and MES products to deliver high-quality, configurable product solutions. Leadership and Team Management Manage and lead software development managers, technical leads, software architects, and other technical staff. Oversee all activities of the software development team and set clear goals to ensure timely and successful project delivery. Provide mentoring, guidance, and direction to software development leads and team members. Promote diversity and collaboration within the team to drive innovation and inclusivity. Agile Practices and Continuous Improvement Proficient in agile practices to support modern and efficient software development. Drive continuous improvement by identifying opportunities to enhance development processes, tools, and team capabilities. Explore and leverage new AI tools to optimize productivity and enhance team efficiency. Architecture and Strategic Planning, Direction, Development & Execution Create and maintain technical architecture to meet technical, market, and business goals. Lead the strategic direction and execution of software architecture to ensure alignment with evolving business needs and support organizational transformation. Perform roadmap planning for long-term product evolution, including supporting archit ecture, design, experimental prototyping, and technology transfer. Ensure business requirements align with IT architecture and infrastructure capabilities. Carry out Proofs of Concept (POCs) to explore innovative solutions, architect customized approaches to meet customer requirements, and evaluate emerging technologies. Provide vision, anticipate potential challenges, and offer strategic solutions to the organization. Collaboration and Stakeholder Management Interact with prospects, customers, business partners, senior management, and other stakeholders throughout the software development lifecycle. Maintain a strong customer focus by ensuring the delivery of high-quality software solutions that meet client needs and expectations. Foster a culture of excellence and innovation by encouraging creative problem-solving, adopting emerging technologies, and setting high performance standards. Training and Mentorship Train and mentor staff in design patterns, best practices, and the software development lifecycle. Share expertise in architecture, design, and implementation of product capabilities to improve team performance and knowledge. Continuous Improvement and Problem-Solving Stay current with technological advancements and company standards. Perform hands-on involvement in application monitoring, diagnostics, and forensics for both product team and customer deployments. Display creativity and latitude in problem-solving and introducing innovative solutions. Demonstrate professionalism and teamwork by promoting collaboration, clear communication, and mutual respect within the team and across departments. Hiring and Onboarding Lead the hiring process, ensuring the acquisition of top talent aligned with team needs and organizational goals. Oversee onboarding processes to integrate new hires effectively and foster a high-performance culture. Financial & Resource Management Own and manage the software development budget, ensuring resources are effectively allocated to achieve key business outcomes on time and within budget. Maintain ownership of time, cost, and quality for all deliverables, ensuring high standards are met across all stages of the project lifecycle. Policy and Standards Compliance Ensure compliance with industry standards, regulatory requirements, and company policies. Define and enforce policies, procedures, and best practices. Metrics and Reporting Define and monitor key quality metrics to track performance, identify trends, and drive improvements. Prepare and present reports and dashboards to leadership and stakeholders as needed. Required Education/Experience: Education Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field is strongly preferred. Equivalent commercial or open-source programming experience may be considered. Experience 12+ years of experience leading and managing large software development teams. Extensive experience in goal-driven resource management, technical recruitment, and project management. Proven ability to balance business and technology expertise with a global mindset. Substantial experience in developing multi-tier systems and delivering enterprise-level applications. Strong proficiency in various SDLC methodologies and practices. Experience in complex discrete manufacturing domains, Manufacturing Execution Systems (MES), or ERP/PLM is highly desirable. Required Skills Expertise in advanced JavaScript libraries, frameworks, and tools such as React, React-Router, Redux, Node, Jest-its okay, RsPack, RxJs , Webpack, Browserify, etc. Experience working collaboratively with UI/UX designers and transforming wireframes into product. You should know CSS and be able to style pages in line with UI direction and styling guidelines. Familiarity with cloud-native infrastructure, including container management systems and microservices architecture. Experience with cloud-native infrastructure and microservices architecture using AWS or Azure. Experience with containerization technologies such as Docker and Kubernetes. Strong architectural mindset, with the ability to translate high-level requirements into detailed design alternatives, weighing pros and cons effectively. Ability to prototype and evaluate solutions, write detailed technical specifications, and provide leadership and reviews for development teams. Preferred Skills Experience around technologies like Redis, Elastic search, Mongo. Experience with implementing GenAI, RAG (Retrieval-Augmented Generation), or Agentic AI-related scenarios. Experience with Backend development technologies such as Java. Personal Attributes Excellent written and verbal communication skills, with the ability to present complex technical topics to diverse stakeholders. Strategic thinker with a proactive approach to problem-solving and a focus on continuous improvement. Passion for fostering diversity, collaboration, and innovation within teams. Demonstrated ability to thrive in fast-paced, dynamic environments while managing multiple priorities. Show more Show less

🚀 Hiring: CodeIgniter Developer at JBMatrix Technology Pvt. Ltd. 📍 Location: Kolkata (On-site/Hybrid) 💼 Experience: 1 year 💰 Salary: Competitive, based on experience Responsibilities: ✅ Develop and maintain dynamic web applications using CodeIgniter (PHP Framework) ✅ Optimize existing applications for speed, security, and scalability ✅ Collaborate with designers and front-end developers to implement UI/UX features ✅ Work with MySQL databases, ensuring efficient data storage and retrieval ✅ Integrate third-party APIs and payment gateways ✅ Troubleshoot, debug, and enhance system performance ✅ Maintain clean, well-documented, and reusable code Requirements: 🔹 1+ year of experience in CodeIgniter 4 & PHP development 🔹 Strong understanding of MVC architecture 🔹 Experience with MySQL, JavaScript, jQuery, AJAX, and RESTful APIs 🔹 Knowledge of HTML5, CSS3, and Bootstrap 🔹 Familiarity with Git version control 🔹 Ability to work independently and in a team environment 🔹 Strong problem-solving and analytical skills 📩 How to Apply? Send your resume and portfolio to info@jbmatrix.com or apply directly through LinkedIn. Join us and be a part of our journey in shaping the future of web development! 🚀 #Hiring #CodeIgniterDeveloper #PHPJobs #WebDevelopment #KolkataJobs #JBMatrixTechnology Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. Experience in Machine Learning. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience in Large Language Models/ Deep Learning/NLP. 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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Responsibilities Emerge with the roadmap for the sports AI insights team and deliver. Be the technical lead for the Sports AI insights team while solving technical problems. Build solutions to ground up to enable novel sports experiences. Work with teammates to identify opportunities to make offerings simpler to next generation sports experiences. Collaborate, mentor and develop other team members. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Greetings from LTIMindtree!! About the job Are you looking for a new career challenge? With LTIMindtree, are you ready to embark on a data-driven career? Working for global leading manufacturing client for providing an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints so their end customers can make an informed purchase decision – will surely be a fulfilling experience. Location: Pan India. Key Skill : Hadoop-Spark SparkSQL – Java Interested candidates kindly apply in below link and share updated cv to Hemalatha1@ltimindtree.com https://forms.office.com/r/zQucNTxa2U Skills needed: 1. Hand-on Experience on Java and Big data Technology including Spark. Hive, Impala 2. Experience with Streaming Framework such as Kafka 3. Hands-on Experience with Object Storage. Should be able to develop data Archival and retrieval patters 4. Good to have experience of any Public platform like AWS, Azure, GCP etc. 5. Ready to upskill as and when needed on project technologies viz Abinitio Why join us? Work in industry leading implementations for Tier-1 clients Accelerated career growth and global exposure Collaborative, inclusive work environment rooted in innovation Exposure to best-in-class automation framework Innovation first culture: We embrace automation, AI insights and clean data Know someone who fits this perfectly? Tag them – let’s connect the right talent with right opportunity DM or email to know more Let’s build something great together Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Job Requirements .Net with Reactjs Design, develop, and maintain web applications using React for frontend development and Node.js or similar technologies for backend services. Develop and consume RESTful APIs to facilitate seamless communication between frontend and backend systems. Collaborate with UX/UI designers to implement responsive and user-friendly interfaces. Utilize RDBMS (Relational Database Management Systems) for data storage and retrieval, ensuring optimal database design and performance. Implement AWS services for application deployment, scaling, and management, ensuring high availability and security. Write and optimize Graph Query Language (GQL) queries to interact with graph databases effectively. Integrate message systems like Kafka for real time data processing and event driven architecture. Conduct code reviews, unit testing, and debugging to maintain code quality and performance. Participate in agile development processes, including sprint planning, daily standups, and retrospectives. Qualifications: Bachelor’s degree in computer science or equivalent. Proven experience in full-stack development with a strong focus on React and REST APIs. In-depth knowledge of RDBMS technologies (MSSQL/ MySQL/PostgreSQL). Familiarity with AWS services (e.g., EC2, S3, Lambda) and cloud architecture. Experience with Graph Query Language (GQL) and graph databases. Knowledge of message systems like Kafka or similar technologies. Proficiency in using AI tools such as GitHub Copilot for coding assistance and productivity. Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, both verbal and written. Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

Job Description: Data Scientist Exp: 2-5 years CTC: 12lpa Notice period: Immediate – 15days Job Location: Chennai Profile source: Tamil Nadu Timings: 1:00pm – 10:00pm (IST) Work Mode: WFO (Mon-Fri) Required Skills & Qualifications: ● Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. ● Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. ● Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). ● Hands-on experience with SQL and database interactions. ● A strong passion for advancements in Artificial Intelligence and a commitment to ongoing learning. ● Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. ● Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Transformers. ● Knowledge of agentic AI systems, including task planning and autonomous agents ● Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git). Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems. This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: ● Clean, transform, and analyze data (structured and unstructured) from diverse sources. ● Perform exploratory data analysis to identify actionable insights. ● Support the development and evaluation of traditional and deep learning models. ● Assist in integrating LLMs into workflows using RAG pipelines. ● Collaborate with senior team members to build and refine agentic AI systems for task automation. ● Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. ● Develop dashboards, visualizations, and documentation to effectively communicate insights and findings. Job Types: Full-time, Permanent Pay: From ₹80,000.00 per month Benefits: Health insurance Schedule: Night shift Ability to commute/relocate: Chetput, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 5 years (Preferred) Shift availability: Night Shift (Preferred) Work Location: In person

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com Show more Show less

goSTOPS is India's premier backpacker hostel chain, providing vibrant, affordable stays and experiences to the youth traveler. With a rapidly expanding network across the country, we’re committed to making travel affordable, accessible, and unforgettable. Join us as we shape the future of travel for the next generation Role Overview Seeking a talented and creative Graphic Designer to join our marketing team. As a Graphic Designer, you will play a crucial role in shaping the visual identity of our brand and ensuring that our marketing materials resonate with our target audience. You will work closely with our marketing and content teams to create visually stunning and engaging graphics that convey our brand message effectively. Key Responsibilities Create visually appealing graphics for various digital and print marketing materials, including but not limited to brochures, posters, banners, social media posts, email campaigns, and website content Develop and maintain the visual style and brand consistency across all design asset Collaborate with the marketing and content teams to understand project requirements, target audience, and messaging objectives campaigns, promotions, and events Work on photo editing and retouching to enhance the quality of images used in marketing materials Stay updated on design trends, tools, and technologies to ensure the use of the latest design techniques and software Assist in the development of branding materials, such as logos, icons, and brand guidelines Prepare design files for print production and ensure high-quality outputs Maintain an organized archive of design assets for easy access and retrieval Present design concepts and ideas to the team, and incorporate feedback to refine designs Requirements 1-2 years of work experience Adobe Creative Suite Illustration skills is preferred Show more Show less

Join us as a Data Governance Analyst (Data Lake) at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Governance Analyst (Data Lake) you should have experience with: Data and Record governance, data controls, data lineage and associated methodologies. Experience in data products, cloud and data warehouses Business Domain (Retail or Banking) and Regulatory reporting experience. Working in a regulated environment and solid understanding of data and control risk management. Hands of experience and knowledge around feature ETL, Data Warehousing, Big Data, Dimensional Modelling, Cloud data products Hands-on experience on Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports Working knowledge in Change Management, Process Excellence, Project Management and functional experience in Data Analysis Some Other Highly Valued Skills May Include Understanding of different technologies around the execution of data control. Ability to proactively drive change. Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders. Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls. Proficiency in data analytics and insight generation to derive actionable insights from data. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. Provision of Group wide guidance and training on Data and Records Management standard requirements. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders Show more Show less

Job opening - Software Developer Intern Location - Indore Education - Computer Science, Information Technology, or a related field. Fresher Duration - 2 Months (may extend based on your performance) Role - 1. Collaborate with the development team to design and implement user-facing features using React. 2. Assist in integrating frontend components with backend services. 3. Write clean, efficient, and well-documented code in Python. 4. Work with SQL databases for efficient data storage and retrieval. 5. Troubleshoot and debug issues to ensure a seamless user experience. 6. Participate in code reviews and contribute to team discussions. Skills needed - 1. Strong passion for software development with a focus on creating exceptional user experiences. 2. Proficiency in Python and familiarity with SQL databases. 3. Basic knowledge of React and frontend technologies (HTML, CSS, JavaScript). 4. Familiarity with version control tools like Git. 5. Good problem-solving and analytical skills. 6. Ability to work well in a collaborative, team-oriented environment. 7. Self-motivated and eager to learn new technologies. 8. Must have worked with Python Job Type: Full-time Pay: ₹7,000.00 - ₹10,000.00 per month Benefits: Food provided Schedule: Day shift Supplemental Pay: Performance bonus Location: Indore, Madhya Pradesh (Required) Work Location: In person

About HireVeda HireVeda isn’t just another recruitment agency. We specialize in solving high-stakes hiring — helping VC-backed startups and growth-stage companies close critical roles in Product, Tech, Growth, and Finance. Our success lies in precision: we aim to close most roles with just 10 resumes and in under 20 days. We operate 100% remotely and serve clients across India and global markets. About ExecEdge ExecEdge is our premium job search engine, built to help mid to senior-level professionals drive their own career transitions. We provide strategic positioning, deep research, and structured outreach systems to help them unlock meaningful leadership roles. This Operations Associate role sits at the core of ExecEdge — where you’ll work closely with the team to power the job search for top-tier talent. About the Founding Team Our founders come from top institutions like IIM Lucknow , IIM Calcutta , and SCMHRD , and bring over a decade of collective experience in recruitment, consulting, and talent strategy. You can explore their professional journeys here: Saurabh Agarwal Rijas Muhammed Nitesh Rana Varun Jain Key Responsibilities:Research & Client Management Responsibilities: Client Handling: Manage 3–5 clients simultaneously, understanding their specific requirements and career objectives. Company Research: Conduct comprehensive research on 40–50 companies weekly based on provided directions. Decision-Maker Identification: Identify potential decision-makers (e.g., CXOs, VPs, Directors) within target organizations using platforms like LinkedIn, Apollo.io, SalesQL, and others. Contact Information Retrieval: Utilize AI tools such as ChatGPT and Perplexity to enhance research precision and obtain accurate contact details. Data Management: Enter and maintain accurate records of identified decision-makers in the database for review and approval. Quality Control: Ensure all research is conducted with the highest degree of accuracy and relevance, regularly reviewing data to meet client expectations and project standards. Collaboration: Work closely with the program team to align research outcomes with client goals and incorporate feedback promptly to enhance results. Work Timings : Monday to Friday: 10 AM to 7 PM Location : This is a permanent remote position Show more Show less

Job Summary: We are looking for a detail-oriented and data-savvy Database Analyst / SQL Developer with hands-on experience in Oracle and SQL Server . The ideal candidate should have a strong understanding of database structures and be proficient in writing and optimizing SQL queries, procedures, and scheduled jobs. A good grasp of data relationships and query logic is essential. Key Responsibilities: Develop, test, and maintain SQL queries , stored procedures , functions , and views in Oracle and SQL Server. Read from and write to database tables for business logic processing and reporting. Design and optimize joins , subqueries , and complex data retrieval logic. Analyze existing database structures and recommend optimizations. Support data quality and integrity across systems. Create and maintain scheduled jobs , ETL processes, or data pipelines. Work with application developers to support backend data needs. Troubleshoot database issues and performance bottlenecks. Required Skills: Proficiency in Oracle PL/SQL and T-SQL (SQL Server) . Strong knowledge of joins , subqueries , and data manipulation . Ability to understand and work with stored procedures , functions , triggers , and scheduled jobs . Experience in reading and interpreting relational database models . Understanding of indexes , constraints , and basic normalization . Familiarity with data profiling and basic data modeling concepts. Preferred: Knowledge of data migration , ETL tools , or SSIS / Oracle Data Integrator . Familiarity with cloud databases (e.g., Azure SQL, Oracle Cloud). Experience with reporting tools or writing queries for dashboards. Soft Skills: Strong analytical and problem-solving mindset. Ability to communicate effectively with business and technical teams. Self-motivated and able to work independently or in a team. Show more Show less

Role Summary We’re hiring a Founding Full-Stack AI/ML Engineer to help build and scale the backbone of our AI system. You’ll lead development across agent orchestration, tool execution, Model Context Protocol (MCP), API integration, and browser-based research workflows. You’ll work closely with the founder on hands-on roadmap development, rapid prototyping, and fast iteration cycles to evolve the product quickly based on real user needs. Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience This is a unique opportunity to work directly with an industry leader in AI to build a cutting-edge, next-generation AI system from the ground up. Show more Show less

Job Summary: We are looking for an expert Data Scientist (LLM/GenAI) to join our team. The ideal candidate will have a decent background of data science ( statistics, math, ML, DL) and good knowledge of Large Language Models (LLMs), along with hands-on experience in building and deploying development process automation in requirements, coding, testing, and maintenance. Key Responsibilities: Choose appropriate foundation model and APIs, develop, fine-tune, and deploy Large Language Models (LLMs) for various intelligent applications related to requirements, coding, testing, and maintenance activities. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Build and optimize requirements related to engineering, such as requirement generation, test case generation, requirement gap analysis, bug analysis, and mapping, Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Performance and accuracy analysis for LLM applications. Requirements Required Skills & Qualifications: Strong academic background with knowledge of statistics and mathematics 2-3 Experience in LLM/GenAI and strong Python skills Hands-on experience in developing and deploying AI solutions related to requirement engineering or other development cycle automation projects for at least a year. Experience with LLM RAG/ agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g. Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Ability to work independently and collaboratively in a fast-paced environment. Good to Have: · Proficiency in ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers · Experience in working with APIs, Docker, FastAPI for model deployment · Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. · Experience or knowledge of multimodal AI Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects and learn from senior technologists. Collaborative and innovative work environment. Competitive salary and benefits. Rapid Career growth opportunities in AI and ML research and development. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with design and architecture; and testing/launching software products. 5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in an organization involving cross-functional, or cross-business projects. 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. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Design, develop, test, deploy, maintain, and enhance large scale software solutions. Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers. Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions. 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.

PRINCIPAL SOFTWARE ENGINEER Bangalore, Karnataka, India Date posted Jun 19, 2025 Job number 1828440 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Azure Cosmos DB is Microsoft's globally distributed, multi-model NoSQL database service. We are investing heavily in next-generation indexing and retrieval infrastructure to power AI-native workloads such as vector similarity search, hybrid search, and semantic retrieval. We are looking for a Principal Software Engineer to drive the architecture, design, and implementation of vector indexing and retrieval features in Cosmos DB. You'll collaborate with product, applied AI, and infrastructure teams to build high-performance, highly available vector search capabilities natively into Cosmos DB. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Qualifications Required/Minimum Qualifications 10+ years of experience in distributed systems, databases, or large-scale search infrastructure. Strong coding skills in C++, Rust, or C#, with deep systems-level expertise. Proven track record of designing high-scale, low-latency services in production. Solid understanding of storage engines, indexing, and retrieval models. Ability to mentor a team of senior engineers. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred/Additional Qualifications Experience working on database internals (e.g., indexing, query execution). Exposure to AI/ML systems, LLM-driven search, or retrieval-augmented generation (RAG). Experience with cloud-scale services (Azure, AWS, or GCP). #azdat #azuredata #cosmosdb #microsoftidc Responsibilities Architect and lead development of scalable, distributed vector indexing features (e.g., DISKANN) within the Cosmos DB engine. Optimize storage and compute efficiency for vector search scenarios, including approximate nearest neighbor (ANN) algorithms. Partner with the AI/ML, Azure Cognitive Search, and OpenAI teams to integrate semantic search and hybrid retrieval capabilities. Drive technical design reviews, RFCs, and cross-team architectural alignment. Ensure robust telemetry, monitoring, and diagnostics are built into vector indexing components. Work closely with the product team to define roadmaps, goals, and success metrics for AI-native features in Cosmos DB. Embody our culture and values Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Bangalore,Karnataka,India Job ID 768618 Join our Team About this opportunity: Data and Analytics is a function with the aim to craft and execute our Analytics and AI strategy, vision and to ensure multi-functional execution for Ericsson to transform into an Intelligent enterprise. AI and Data is a key theme for Ericsson to become data driven, and we continue to build up elite competence in this area to increase performance, deliver intelligence and to ensure, secure and scalable development, deployment and continued operations of Analytics and AI solutions. What you will do: Facilitate requirement analysis with Stakeholders for Data Collection, Analytics, & Machine Learning Requirements Work with IT Digital Product Owner to ensure understanding of business requirements in Data Management for the respective functional area Identify and propose new opportunities for data services Define characteristics for wanted scale, redundancy, distribution, protection, etc. criteria for different types of data services Work with Developers and other FA Architects for cross functional data requirements Support with technical lead scrum teams during development. Define and design appropriate interfaces for data update, retrieval queries and recommended workflows based on specific data use case The skills you bring: Strong prior experience in Data Warehousing and BI, irrespective of technology. Prior experience as an Architect with leading delivery team Strong hands-on prior experience as BI/ETL developer. Education / Experience Required (In Years) We are looking for a candidate with 10+ years of experience as Data Architect, Solution Architect or Data Engineer who has attained a Graduate degree (B.E/ BTech/Mtech ) in Computer Science and Information Systems or another quantitative field. Software/tools: Following experiences and skills are required. Strong understanding and experience on Snowflake Architecture Strong Data Modelling Experience Experienced on Batch and streaming processing (for instance Apache Spark, Storm) and relevant back-end languages such as Python, Pyspark and SQL Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit BI Tools Such as Tableau, PowerBI, and also web-based dashboards and solutions Any of the experiences and skills listed below is a merit, the more the better Cloud Agnostic Data Platforms such as Snowflake, Databricks and SAP Data Warehouse Cloud Able to create the design and data modelling independently using data vault 2.0, Big data technologies, such as Hadoop, Hive, and Pig, MAPR or Enterprise data warehousing initiatives Cloud Native Data Platforms (Azure Synapse Analytics, Amazon Redshift) Azure services – Azure Data factory (ADF), Azure Databricks (ADB) Designing data products and publishing data using data marketplace platform Authorization methods including Role Based Access Control and Policy Based Access Control. Data mesh implementation and federated model for data product development Relational Data Modeling with 3NF Modern Data Architectures including cloud native, microservices architecture, virtualization, Kubernetes and containerization. Messaging, (for instance Apache Kafka) NoSQL DBs, like Cassandra and MongoDB RDBMS such Oracle, MS SQL, MariaDB or PostGRE, both row based and columnar based Experience with ETL tools (Talend, Informatica, BODS etc.) Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

About Us Observe.AI is transforming customer service with AI agents that speak, think, and act like your best human agents—helping enterprises automate routine customer calls and workflows, support agents in real time, and uncover powerful insights from every interaction. With Observe.AI, businesses boost automation, deliver faster, more consistent 24/7 service and build stronger customer loyalty. Trusted by brands like Accolade, Prudential, Concentrix, Cox Automotive, and Included Health, Observe.AI is redefining how businesses connect with customers—driving better experiences and lasting relationships at every touchpoint. The Opportunity If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AI's mission, then this role is for you! This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems. If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, you’ll love the job! About the ML Team We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AI’s product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well. What you’ll be doing Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies. Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP. 3+ years of industry experience in building large-scale NLP systems. Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications. Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP conferences or workshops are a plus Relevant open-source contributions are a plus. Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply.