5906 Retrieval Jobs - Page 48

Hello, We have an exciting opportunity for a Technical Project Manager with 5+ years of experience in Ahmedabad! Company Description: IndiaNIC is an offshore Software Development Company based in Ahmedabad, India, with a team of 600+ experts operating across multiple countries. The company specializes in transforming ideas into digital solutions using the latest technologies and top-notch UI/UX designs. Focusing on websites, mobile apps, IoT, AI & ML development, and other specialized services, IndiaNIC has successfully delivered 7,000+ projects to 3,000+ clients worldwide. EXPERIENCE: 5+ years On-site Opportunity Ahmedabad 5 days Working Job Summary: Requirements: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 5+ years in technical project management, with 2+ years working on AI/ML-focused products or platforms. Strong understanding of AI/ML concepts , including LLMs, embeddings, prompt engineering, NLP, and computer vision. Familiarity with tools like OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, or vector databases. Experience with model deployment and AI infrastructure (e.g., FastAPI, Docker, cloud AI services). Skilled in using Jira, Trello, Notion , or similar project tools. Excellent leadership, communication, and cross-functional collaboration skills. Nice to Have: Experience managing AI chatbots or generative AI projects. Knowledge of ethical AI practices and responsible AI deployment. Certification in AI/ML or product management. Experience with RAG (Retrieval-Augmented Generation) architectures. Thanks & Regards Aman Bhavsar | Executive - HR | IndiaNIC | Ph.: 079 -61916080/6000 Mo.:9510915158 https://www.indianic.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models finetuning and evaluation, Python web development Good to Have Skills -LLMOps

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models fine tuning and evaluation, Python web development Good to Have Skills -LLMOps

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we're shaping the future and making a meaningful impact on the world. About The Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases Design and deploy high-performance, low-latency AI applications Build and optimize ML/DL models, including generative models like Transformers and GANs Construct and manage data ingestion and transformation pipelines for scalable AI solutions Conduct experiments, and statistical analysis, and derive insights to guide development Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions What You Need Master's in Computer Science, Engineering, or a related field 5+ years of software engineering experience with strong API development skills 3+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems Strong Python programming skills with enterprise application development and optimization Experience with: LLMs, prompt engineering, and fine-tuning SLMs Frameworks like LangChain, CrewAI, or Autogen (at least one is a must) Vector databases (e.g., FAISS, ChromaDB) Embedding models and Retrieval-Augmented Generation (RAG) design Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker) Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python - building scalable, performant AI applications Experience with reinforcement learning and multi-agent systems LLM optimization and deployment at scale Familiarity with healthcare data and AI use cases We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer's EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Designation: Data Scientist Location: Gurgaon Salary: 8-20 LPA Working: 5 Days Experience: 0-2 Years Key Responsibilities Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis Leverage NVIDIA frameworks like Triton and Omniverse Integrate AI models into scalable applications with optimal performance Fine-tune models for domain-specific use cases with a focus on accuracy Research advancements in NLP and diffusion models for fashion-based image generation Deploy and maintain AI solutions in production environments Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval Use and manage vector/graph databases to support AI implementations Apply basic computer vision and image processing in real-world projects Benchmark AI model performance using standard metrics and datasets Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD) Work closely with engineers, scientists, and stakeholders to meet business needs Required Skills & Qualification 0-2 years in AI/ML with a focus on Generative AI and LLMs Expert in Python, C++, and JavaScript Strong with PyTorch, TensorFlow, and Keras Experience in NLP, transformer models, and deep learning Knowledge of ML Ops tools is a plus Familiar with AWS, GCP, or Azure for cloud deployments Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j) Strong foundation in computer vision, CNNs, and object detection Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen) Proficient in Flask, FastAPI, and WebSocket for serving AI models Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO

Job Title: Functional Tester – Agentic AI Solution (Banking & Wealth Management) Location: Noida Experience Level: 2–6 years Reports To: QA Lead / Product Manager We are looking for an experienced Functional Tester to validate the business workflows, compliance logic, and customer-facing features of an Agentic AI solution built for the banking and wealth management domain. This solution leverages LLMs, retrieval-augmented generation (RAG), and domain ontologies to provide intelligent data retrieval, client interaction, and regulatory compliance automation. Key Responsibilities Functional Testing • Understand functional and non-functional requirements for Agentic AI features (e.g., document Q&A, investment summarization, client onboarding, compliance tracking) • Validate end-to-end user journeys across banking and wealth advisory use cases • Test conversational workflows and agentic logic flows (multi-step LLM tasks) • Verify outputs from LLMs for relevance, consistency, and context-awareness • Ensure correct role-based access across advisors, relationship managers, and compliance officers Test Planning & Execution • Prepare detailed test plans, test cases, and traceability matrices from EPICs, features, and user stories • Execute manual testing for user interfaces, APIs, and chat/agent interactions • Perform regression testing across AI pipelines after prompt or model updates • Log, track, and retest defects using tools like Azure DevOps, Jira, or TestRail AI Model & RAG Testing • Validate grounding of LLM responses from vector databases (e.g., Azure AI Search, Pinecone) • Check performance of RAG pipelines including hallucination mitigation, context window boundaries, and fallback logic • Test interaction of agent orchestration flows (LangChain/Autogen/semantic kernel) • Verify prompt-based test cases for accuracy and coverage Integration & Data Testing • Validate PDF/statement extraction logic from custodians (e.g., Morgan Stanley, Pershing) • Check structured data output (JSON, tables) from Azure Form Recognizer or OpenAI pipelines • Ensure data integrity and lineage from ingestion → processing → user response Must-Have Skills & Tools Category Tools/Tech Test Management Azure / AWA DevOps, Jira, TestRail, Azure Board Test Types Functional, UI, Integration, AI behavior Domain Knowledge Wealth Mgmt workflows, KYC, portfolio views, regulatory rules AI Concepts LLM output validation, RAG testing, prompt engineering basics Data JSON validation, SQL for test data setup Tools (Optional) Postman, Python (for test automation scripts), Excel-based test mapping Preferred Qualifications • Bachelor’s degree in Engineering, Finance, or Computer Science • Experience testing AI/ML solutions or conversational AI products • Familiarity with Azure AI stack, OpenAI, or AWS Bedrock • Exposure to compliance-heavy domains like banking, wealth, or insurance • Ability to work with cross-functional Agile teams (product, engineering, AI/ML, compliance) Nice-to-Have Skills • Experience writing prompt-based test cases for LLMs • Familiarity with agentic workflows (e.g., task chaining, autonomy testing) • Understanding of financial statement formats (portfolio summaries, trade confirms) • Basic scripting to validate data output (e.g., Python, bash)

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.

DXFactor is looking for AI/ML Engineer (4 to 6 Yrs) DXFactor is a US-based tech company working with fortune 500 customers across the globe. We have our presence in: US India (Ahmedabad, Bangalore) Web-site: www.DXFactor.com Location: SG Highway, Ahmedabad (Work from Office) Employment Type: Full Time Job Summary: We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI . The ideal candidate will have strong proficiency in Python , LLM Models , and emerging techniques such as Retrieval-Augmented Generation (RAG) , model fine-tuning , and agentic AI systems . You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs . Implement and optimize RAG pipelines for knowledge-aware AI systems. Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications. Build and manage agentic AI systems capable of autonomous planning and decision-making. Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features. Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Minimum 1 year of hands-on experience in Generative AI projects. Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn). Strong understanding of Large Language Models (LLMs) and transformer architectures. Experience building RAG pipelines and integrating vector search systems. Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic. Experience on working with cloud platforms Tools & Technologies: Frameworks & Libraries: LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow Model Providers: OpenAI, Anthropic, Llama, Mistral Vector Stores: FAISS, Pinecone, Milvus APIs & Services: REST, GraphQL DevOps & Infra: Docker, AWS/GCP/Azure

Responsibilities: Design, implement, and optimize LLM pipelines for NLP tasks such as summarization, classification, and entity recognition. Build and deploy AI models to production with scalable, testable code. Develop and fine-tune models using domain-specific datasets, integrating them into live systems. Create retrieval-augmented systems using vector stores and embeddings for contextual Q&A. Support ASR-based NLP systems with diarization, tagging, and post-processing. Work closely with senior leadership to ensure technical alignment with product goals. Contribute to AI/ML best practices and help standardize development workflows across teams. Primary Skills (Must have): Strong Python development with OOP principles and ML/AI best practices. Expertise in machine learning, deep learning, and NLP using libraries like scikit-learn, PyTorch, TensorFlow. Practical experience with LLM fine-tuning, LoRA, PEFT, and embedding-based models. Experience building RAG pipelines for question-answering, search, and knowledge summarization. Hands-on with vector stores (FAISS, Pinecone, ChromaDB), transformers, and Hugging Face models. Experience deploying models via FastAPI, Flask, and Docker. Good knowledge of speech-to-text tools like Whisper and AWS/GCP STT for transcription. Familiarity with prompt engineering, LangChain, and retriever models. Experience with cloud ML platforms (AWS, Azure, GCP) for model training and inference. Exposure to MLOps practices like versioning, monitoring, and automated retraining. Secondary Skills Domain knowledge in financial services, market places, healthcare, pharma and life sciences NLP use cases. Experience with knowledge graphs, graph neural networks, and embeddings-based reasoning. Understanding of privacy-preserving ML (e.g., differential privacy, federated learning). Exposure to LangChain, LlamaIndex, Haystack, or other GenAI orchestration tools.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team! As a senior researcher in our group you are expected to own the full lifecycle of your work: from understanding the business problem, to conducting the research to find the right ML approach, to production deployment. Think, full-stack researcher / data scientist. Moreover, we see great importance in publishing our work in scientific top-tier conferences (RECSYS, NIPS, WWW, WSDM, SIGIR, EMNLP, and others). Come join our innovative engineering and applied research team! What You Will Accomplish Being a Part Of EBay’s Research Group Means You will conduct world-class research in the area of Recommender Systems, Machine Learning and Natural Language Processing. You will solve complex problems for eBay's core product and see your work impacts billions of people around the world. You will work with top scientists to conduct state of the art research. You will have a huge part in the next generation of eBay’s products. Job Requirements MS in a relevant domain. PhD is an advantage. Proven experience in the fields of Recommender Systems, Machine Learning and NLP. Demonstrated experience in designing, implementing, and optimizing complex deep learning models for real-world applications Combination of strong research, engineering and business acumen skills. Deep understanding of computer science fundamentals, data structures, and algorithms. Experience in programming in Python Experience building large scale distributed applications and expertise in any OO language (Scala, Java, etc.) - a plus Experience in working in a complex production environment - a plus. Publication record in machine learning or related conferences - a plus. Experience with Large Language Models (LLMs) and prompt engineering - a plus Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important. Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/ We will ensure that individuals with disabilities are provided 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 accommodation. Links To Some Of Our Previous Work Tech Blog 2025 (Multimodal GenAI) Tech Blog 2025 (GenAI Agentic Platform) RecSys 2024 Workshop paper Google Cloud Blog 2024 eBay Tech Blog 2023 eBay Tech Blog 2022 RecSys 2021 paper Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

We are seeking a highly skilled Back-End Developer with expertise in Salesforce Service Cloud Voice and Amazon Web Services (AWS) Connect to join our dynamic team. This role offers an opportunity to work on cutting-edge voice and contact center solutions , collaborating with front-end developers, architects, and stakeholders to build scalable, high-performance back-end systems. You will be responsible for designing server-side logic, developing APIs, optimizing databases, and ensuring system security . If you are passionate about cloud-based telephony solutions, enjoy working in a fast-paced, collaborative environment , and want to drive meaningful digital transformation , we invite you to apply! Job Role : Salesforce Developer Job Location : India (Remote) Key Responsibilities: Architect, develop, and optimize back-end systems for Salesforce Service Cloud Voice and AWS Connect . Design, build, and maintain APIs, microservices, and server-side logic to integrate Service Cloud Voice with AWS services and other enterprise applications. Develop and maintain databases , ensuring efficient data storage, retrieval, and performance optimization. Implement security best practices , including authentication, authorization, and encryption, to safeguard sensitive data. Troubleshoot and debug complex back-end issues related to telephony, call routing, real-time analytics, and integrations . Work closely with front-end developers to integrate UI components with back-end services , ensuring seamless user experiences. Optimize system performance and scalability , leveraging AWS services such as Lambda, S3, DynamoDB, SQS, and API Gateway . Collaborate with DevOps teams to manage CI/CD pipelines, deployment automation, and cloud infrastructure provisioning. Stay updated on the latest Salesforce and AWS technologies , best practices, and industry trends. Document technical specifications, workflows, and system architecture to ensure knowledge sharing and scalability. Required Qualifications & Skills: Proven experience as a Back-End Developer , working with Salesforce Service Cloud Voice and AWS Connect . Strong programming skills in Node.js, Java, Python, or Apex for developing scalable back-end services. Experience with Salesforce API integrations , including REST, SOAP, and GraphQL APIs . Deep understanding of AWS services such as Lambda, API Gateway, DynamoDB, S3, SQS, SNS, IAM, and CloudFormation . Strong knowledge of database design, query optimization, and performance tuning with SQL and NoSQL databases . Familiarity with DevOps tools (CI/CD pipelines, Docker, Kubernetes, Terraform, Jenkins, Git). Experience with real-time data processing, WebSockets, or event-driven architectures . Excellent problem-solving and debugging skills in distributed cloud environments. Knowledge of OAuth, JWT, and security best practices for authentication and authorization. Ability to write clean, modular, and maintainable code following software engineering best practices. Strong communication skills , ability to work in cross-functional teams, and fluency in English. Preferred Qualifications (Nice-to-Have): Salesforce Platform Developer I & II or Service Cloud Consultant Certification . Experience with AWS AI/ML services for speech analytics and sentiment analysis . Familiarity with Amazon Lex and Amazon Polly for advanced voice automation. Knowledge of Terraform or CloudFormation for managing cloud infrastructure as code. Why Join OSF Digital? At OSF Digital , we are committed to creating an inclusive, diverse, and supportive work environment where everyone can thrive. We believe in the power of innovation, teamwork, and continuous learning to drive digital transformation for businesses worldwide. As an equal opportunity employer , we welcome and celebrate diverse perspectives, backgrounds, and experiences. We do not discriminate based on gender identity, race, ethnicity, disability, sexual orientation, age, religion, national origin, or any other protected category. Join us and be part of a global team that shapes the future of digital solutions! Apply today and take your career to the next level!

Job Title: Python Developer Experience Level: 5-7 Years Location : Hyderabad Job Description We are seeking an experienced Lead Python Developer with a proven track record of building scalable and secure applications, specifically in the travel and tourism industry. The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party travel APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration: Design and implement seamless integration with third-party APIs, including GDS, CRS, OTA, and airline-specific APIs, to enable real-time data retrieval for booking, pricing, and availability. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR. Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.Requirements  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  Technical Expertise: o At least 4 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube. o Expertise in travel APIs, booking flows, and payment gateway integrations.  Soft Skills: o Excellent problem-solving and analytical abilities. o Strong communication, presentation, and teamwork skills. o A proactive attitude with a willingness to take ownership and perform under pressure.

Designation: Data Scientist Location: Gurgaon Salary: Upto 35 LPA Working: 5 Days Experience: 5+ Years Key Responsibilities: -Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks -Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs -Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis -Leverage NVIDIA frameworks like Triton and Omniverse -Integrate AI models into scalable applications with optimal performance -Fine-tune models for domain-specific use cases with a focus on accuracy -Research advancements in NLP and diffusion models for fashion-based image generation -Deploy and maintain AI solutions in production environments -Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval -Use and manage vector/graph databases to support AI implementations -Apply basic computer vision and image processing in real-world projects -Benchmark AI model performance using standard metrics and datasets -Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD) -Work closely with engineers, scientists, and stakeholders to meet business needs Required Skills & Qualification: -5+ years in AI/ML with a focus on Generative AI and LLMs -Expert in Python, C++, and JavaScript -Strong with PyTorch, TensorFlow, and Keras -Experience in NLP, transformer models, and deep learning -Knowledge of ML Ops tools is a plus -Familiar with AWS, GCP, or Azure for cloud deployments -Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j) -Strong foundation in computer vision, CNNs, and object detection -Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen) -Proficient in Flask, FastAPI, and WebSocket for serving AI models -Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO

Please note that ARC Document Solutions is the hiring company and Inovact is the hiring partner for ARC. Position: AI Developer – Generative AI Location: Kolkata, India Company: ARC Document Solutions India Private Limited Website: www.e-arc.com About the role: We are seeking skilled AI Developers with expertise in Generative AI to join our growing team. The ideal candidate will have hands-on experience building applications powered by Large Language Models (LLMs), developing Retrieval-Augmented Generation (RAG) pipelines, and optimizing Chain of Thought (CoT) reasoning. You will play a key role in designing, developing, and deploying advanced AI solutions that integrate cutting-edge NLP techniques with scalable, production-ready systems. Key Responsibilities: AI Model Development Design and develop applications using Generative AI models. Implement RAG pipelines to enhance model accuracy by incorporating external knowledge sources. Apply CoT reasoning techniques to improve complex problem-solving capabilities. Prompt Engineering & Fine-Tuning Craft and optimize prompts for accurate, contextually relevant model outputs. Fine-tune LLMs with domain-specific data to improve performance and relevance. Vector Database & Indexing Integrate and optimize vector databases (e.g., Pinecone, FAISS, Milvus) for efficient data retrieval. Utilize frameworks like LangChain and LlamaIndex to build and query document embeddings. Model Optimization & Deployment Enhance model performance through hyperparameter tuning and experimentation. Deploy and monitor AI models in production environments, ensuring scalability, reliability, and robustness. Collaboration & Innovation Work closely with data scientists, engineers, and business teams to align AI solutions with business objectives. Stay up to date with the latest advancements in Generative AI, NLP, and ML technologies. Required Skills: Experience: 3+ years of experience in AI/ML development, with a strong focus on Generative AI and NLP. Technical Skills: Advanced proficiency in Python and AI libraries such as TensorFlow, PyTorch, and Keras. Hands-on expertise in RAG pipelines, CoT reasoning, and vector search. Strong knowledge of LangChain, LlamaIndex, and vector database integration. NLP Expertise: Deep understanding of transformers, BERT, GPT, and Named Entity Recognition (NER). Proven experience in fine-tuning LLMs and building custom NLP pipelines. Tools & Technologies: Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment. Experience with Docker, Kubernetes, and MLOps practices. Soft Skills: Strong analytical and problem-solving abilities. Excellent collaboration and communication skills. Preferred Skills: Experience with multi-modal AI models (text, image, audio). Knowledge of LLM evaluation frameworks and interpretability techniques. Familiarity with CI/CD pipelines for AI model deployment.

Job Description Job Summary - The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. In this Role, Your Responsibilities Will Be: Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required. Who You Are: You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems. You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a Master's degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e.g., GPT, Embeddings, Vector databases, Diffusion models) Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please.

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply. We’d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. How You'll Make An Impact Review insurance applications related to property and liability risks, such as homeowners, commercial property, or general liability policies. Analyze the applicant's information, including property details, occupancy, claims history, and other relevant documents. Determine the appropriate coverage limits, deductibles, and premium rates for each property and liability insurance policy based on the applicant's risk profile, industry standards, and underwriting guidelines of the carrier. Communicating & collaborating with insurance agents and brokers to gather additional information, clarify details, and negotiate terms. Ensure compliance with company policies, industry regulations, and legal requirements & follow established underwriting guidelines and procedures to maintain consistency and fairness in decision-making process. Maintain accurate records of all underwriting decisions, correspondence, and supporting documents. Organize and manage underwriting files to ensure easy retrieval and reference. Create & maintain internal reports Collaborate with onshore counter parts to ensure smooth workflow About You Bachelor's degree in a related field (e.g., finance, business, or insurance) 1 or 2 years of experience as an Underwriter or in a similar role for UW L1 and 2 respectively Strong analytical and decision-making skills Excellent attention to detail and accuracy Knowledge of insurance industry regulations and guidelines Effective communication and interpersonal skills Ability to work independently and as part of a team Candidates with AU/AINS/CII/CPCU will be preferred Knowledge of how insurance industry works in countries like UK, Australia & US preferred Additional Information We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

We're looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team. In this role, you'll be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform (GCP) services. Objectives of this role Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions. Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem. Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features. Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance. ## Responsibilities Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability. Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation. Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models. Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations. Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns. Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows. Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability. Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence. Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches. ## Required skills and qualifications Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs). Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI. Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage. Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning. Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures. Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI). Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies. Experience with version control systems (Git) and CI/CD pipelines. Preferred skills and qualifications Bachelor’s or Master's degree in Computer Science Good to have: Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production. Understanding of distributed computing and data processing technologies. Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

We are seeking an experienced Consultant IVF (In Vitro Fertilization) specialist to join our prestigious fertility clinic. In this role, you will provide expert care and support to individuals and couples seeking assistance with infertility. Your comprehensive knowledge and skills in reproductive medicine will be essential in guiding patients through their fertility journey. Key Responsibilities: Evaluate and diagnose patients experiencing infertility through comprehensive assessments and testing Develop individualized treatment plans, including IVF, donor egg programs, and other assisted reproductive technologies Oversee all aspects of the IVF process, including ovarian stimulation, egg retrieval, embryo culture, and embryo transfer Collaborate with a team of healthcare professionals to ensure a multidisciplinary approach to patient care Provide education to patients about treatment options, processes, and potential risks and benefits Monitor and support patients throughout their fertility treatment cycles Participate in clinical research and quality improvement initiatives to enhance IVF practices Maintain accurate and up-to-date medical records while ensuring compliance with healthcare regulations Requirements Medical degree (MD or equivalent) from an accredited institution Completion of residency in Obstetrics and Gynecology and fellowship training in Reproductive Endocrinology and Infertility Board certification in Reproductive Endocrinology and Infertility A minimum of 5 years of clinical experience in IVF and reproductive medicine Strong clinical skills in managing complex fertility cases Excellent interpersonal and communication skills for effective patient interactions Ability to work collaboratively with a multidisciplinary fertility team Commitment to continuous education and staying current with advancements in reproductive technologies Fluency in English; knowledge of additional languages is an advantage Benefits Private Health Insurance Paid Time Off Training & Development Performance Bonus

About Dahua India Since its founding in 2017, Dahua Technology India Private Limited (“Dahua India”), has been a leader in the video surveillance industry when it comes to security technology in India. As a Dahua India, our passion lies in utilizing modern technology to continue revolutionizing the home and commercial security landscape. Our team of engineers, technicians and after-sales support personnel, are dedicated to bring our customers the best security solutions, year after year. At Dahua India, we believe that security is more than just a feeling - it's a state of mind. Staying connected to the things you care about, regardless of your location, is a fundamental factor when it comes to that state of mind. It's no wonder then that our goal has always been to build stronger connections between our customers and the things they value most, and we aspire to be the epitome of virtual security and surveillance. Job Summary We are seeking an experienced and detail-oriented Company Secretary to oversee and manage the secretarial compliance requirements for our operations across India and the APAC region. The ideal candidate will possess deep knowledge of corporate governance, legal regulations, and compliance practices, ensuring that our company adheres to statutory and regulatory requirements across multiple jurisdictions. This role will involve close collaboration with senior management, external consultants, and legal teams to ensure smooth corporate operations. Key Responsibilities: 100% adherence in managing and maintenance of statutory and regulatory event based & annual regular compliances for corporate entities in India and the broader APAC region; Provide advice on corporate governance issues and best practices at cross border levels; Maintain up-to-date knowledge of local laws, regulations, and compliance standards across the APAC region; Oversee the timely filing of necessary documents with regulatory authorities, including annual returns, financial statements, and other filings; The Board Support shall include organizing board meetings, preparing agendas, minutes & recording of corporate resolutions; Legal support/ advisory to internal corporate teams including Commercial, Operations and Corporate functions like HR, Finance, IT, Marketing and other functions; Coordinate with internal stakeholders to ensure correct implementation of all legal & corporate governance guidelines and policies; Collaborate with global legal teams to provide guidance and support to the company. Reviewing /updating of Company policies and training regional employees; Stay current on relevant industry, commercial, privacy, data, employment, environmental laws, advertisement laws and other laws and regulations, including developments to adapt our processes accordingly; Help manage our legal administration to keep our day-to-day legal practices up to date. Retention and retrieval of company documents, records and information; Label, prepare and transfer records according to records management procedures and schedules; Assist in monitoring, maintaining and implementing corporate governance practices and policies; Conduct meeting, training session with stakeholders, employees, service providers as and when required for documents management and records classification systems; Provide general legal advice and negotiate regarding commercial transactions, customer contracts, pricing compliance, and preventative law. Assess legal risk and provide legal advice regarding business transactions; Communicate and present information to stakeholders about all documentation and records related matters; Competencies Organizational Support--Follows policies and procedures; Completes administrative tasks correctly and on time; supports organization's goals and values; Benefits organization through outside activities; Supports affirmative action and respects diversity. Oral Communication--Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings. Written Communication--Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. Ethics--Treats people with respect; Keeps commitments; inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Quality--Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Interpersonal Skills--Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things. Required Education and Experience Qualified Company Secretary from ICSI, India Master/ Bachelor’s degree in law from recognized law school in India/ abroad; 3-7 years' experience in-house with at least some of that time spent at major consulting/ law firm; Experience providing legal support to an electronics or technology business, operating internationally in India; Strong organization skills with the ability to balance multiple tasks in a fast-paced environment; Strong organizational and interpersonal skills, people management, including the ability to work effectively with the business team and with a senior management team; Compensation Dahua India offers an attractive base salary and bonus structure. Location Gurugram

Job Summary This internship duration is only 6 months in real time projects. No Compensation/Salary/Stipend. Candidates willing to work from our Chennai office only, please apply Strong data analytics knowledge, data analytics course/certification is must. You are self-starter who takes complete ownership of your projects Should have the best problem solving attitude. Ability to work well independently with minimal direction and lead team. Good written and verbal English communication skills Technical expertise regarding data models, database design development, data mining and segmentation techniques. Must have strong programming skills, particularly in Python. Knowledge of LLM frameworks such as Langchain, LlamaIndex, OpenAGI, CrewAI, AutoGen. Knowledge of Data Engineering Practices: Skills in data preprocessing, cleaning, and transformation etc. Should be familiar with Agents, RAG (retrieval augmented generation), COT prompting techniques etc Strong analytical skills to troubleshoot and solve complex problems that arise in AI application development. Responsibilities and Duties Implement and customize LLMs to build reliable applications based on LLMs. Build reliable GenAI or LLM powered applications Manage data ingestion and maintain database integrity Knows how to build Agent from scratch and understanding of Multi-Agent architecture is must. Design and develop GenAI use cases across financial services, healthcare and education Implement Retrieval-Augmented Generation (RAG) techniques for enhanced LLM responses. Ensure best practices of prompt engineering, performance monitoring, evaluation of LLM responses etc Work with cross-functional teams for cohesive GenAI solutions. Keep abreast of the latest advancements in LLMs and generative AI. Important Notes/Instructions WFH is not available. Candidates willing to work from our Chennai office only please apply. This internship duration is only 5 months in real time projects. No salary/stipend will be provided. Key Skills Python, LLMs, RAG, AI Agents Job Type: Full-time Pay: ₹1,000.00 - ₹5,000.00 per month Schedule: Monday to Friday Application Question(s): Willing to work without any pay as intern? Willing to work from Chennai Office for 5 months? Location: Chennai, Tamil Nadu (Required) Work Location: In person

Position Summary... What you'll do... About Team The International Tech data science team at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmarts global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do: As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data. Ability to scale and deploy the data science solutions Strong Experience with one or more of Python and R Experience in Working with GCP Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmarts scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. Flexible, Hybrid Work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2106680

Greetings from Analytix Solutions…!!! We are seeking an experienced and motivated Senior Data Engineer to join our AI & Automation team . The ideal candidate will have 6–8 years of experience in data engineering, with a proven track record of designing and implementing scalable data solutions. A strong background in database technologies, data modeling, and data pipeline orchestration is essential. Additionally, hands-on experience with generative AI technologies and their applications in data workflows will set you apart. In this role, you will lead data engineering efforts to enhance automation, drive efficiency, and deliver data-driven insights across the organization. Company Name: Analytix Business Solutions (US Based MNC) Company At Glance: We are a premier knowledge process outsourcing unit based in Ahmedabad, fully owned by Analytix Solutions LLC, headquartered in the USA. We customize a wide array of business solutions including IT services, Audio-Visual services, Data management services & Finance and accounting services for small and mid-size companies across diverse industries. We partner with and offer our services to Restaurants, Dental services, Dunkin' Donuts franchises, Hotels, Veterinary services, and others including Start-ups from any other industry. For more details about our organization, please click on https://www.analytix.com/ LinkedIn : Analytix Business Solutions (India) Pvt. Ltd. : My Company | LinkedIn Roles & Responsibilities : Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT processes across diverse database platforms. Architect and optimize data storage solutions to ensure reliability, security, and scalability. Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation. Collaborate with cross-functional teams (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements. Develop and enforce data quality standards, governance policies , and monitoring systems to ensure data integrity. Create and maintain comprehensive documentation for data systems, workflows, and models. Implement data modeling best practices and optimize data retrieval processes for better performance. Stay up-to-date with emerging technologies and bring innovative solutions to the team. Competencies & Skills : Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. 6–8 years of experience in data engineering , designing and managing large-scale data systems. Advanced knowledge of Database Management Systems and ETL/ELT processes . Expertise in data modeling , data quality , and data governance . Proficiency in Python programming , version control systems (Git), and data pipeline orchestration tools . Familiarity with AI/ML technologies and their application in data engineering. Strong problem-solving and analytical skills, with the ability to troubleshoot complex data issues. Excellent communication skills , with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently, lead projects, and mentor junior team members. Commitment to staying current with emerging technologies, trends, and best practices in the data engineering domain. Technology Stacks : Strong expertise in database technologies, including: o SQL Databases : PostgreSQL, MySQL, SQL Server o NoSQL Databases : MongoDB, Cassandra o Data Warehouse/ Unified Platforms : Snowflake, Redshift, BigQuery, Microsoft Fabric Hands-on experience implementing and working with generative AI tools and models in production workflows. Proficiency in Python and SQL , with experience in data processing frameworks (e.g., Pandas, PySpark). Experience with ETL tools (e.g., Apache Airflow, MS Fabric, Informatica, Talend) and data pipeline orchestration platforms . Strong understanding of data architecture , data modeling , and data governance principles . Experience with cloud platforms (preferably Azure ) and associated data services. Our EVP (Employee Value Proposition) : 5 Days working Total 24 Earned & Casual leaves and 8 public holidays Compensatory Off Personal Development Allowances Opportunity to work with USA clients Career progression and Learning & Development Loyalty Bonus Benefits Medical Reimbursement Standard Salary as per market norms Magnificent & Dynamic Culture

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope. About the team: We are a distributed team of passionate engineers dedicated to continuous learning and building impactful products. Our core product is built from the ground up in Scala, leveraging the Lightbend stack (Play/Akka). About Data Security Posture Management (DSPM) DSPM is designed to provide comprehensive data visibility and contextual security for the modern AI-driven enterprise. Our platform automatically discovers, classifies, and secures sensitive data across diverse environments including AWS, Azure, Google Cloud, Oracle Cloud , and on-premise infrastructure. DSPM is critical in empowering CISOs and security teams to enforce secure AI practices, reduce compliance risk, and maintain continuous data protection at scale. As a key member of the DSPM team, you will contribute to developing innovative and scalable systems designed to protect the exponentially increasing volume of enterprise data. Our platform continuously maps sensitive data across all major cloud providers, and on-prem environments, automatically detecting and classifying sensitive and regulated data types such as PII, PHI, financial, and healthcare information. It flags data at risk of exposure, exfiltration, or misuse and helps prioritize issues based on sensitivity, exposure, and business impact. What you'll do: Drive the enhancement of Data Security Posture Management (DSPM) capabilities, by enabling the detection of sensitive or risky data utilized in (but not limited to) training private LLMs or accessed by public LLMs. Improve the DSPM platform to extend support of the product to all major cloud infrastructures, on-prem deployments, and any new upcoming technologies. Provide technical leadership in all phases of a project, from discovery and planning through implementation and delivery. Contribute to product development: understand customer requirements and work with the product team to design, plan, and implement features. Support customers by investigating and fixing production issues. Help us improve our processes and make the right tradeoffs between agility, cost, and reliability. Collaborate with the teams across geographies. What you bring to the table: 15+ years of software development experience with enterprise-grade software. Must have experience in building scalable, high-performance cloud services. Expert coding skills in Scala or Java. Development on cloud platforms including AWS. Deep knowledge on databases and data warehouses (OLTP, OLAP) Analytical and troubleshooting skills. Experience working with Docker and Kubernetes. Able to multitask and wear many hats in a fast-paced environment. This week you might lead the design of a new feature, next week you are fixing a critical bug or improving our CI infrastructure. Cybersecurity experience and adversarial thinking is a plus. Expertise in building REST APIs. Experience leveraging cloud-based AI services (e.g., AWS Bedrock, SageMaker), vector databases, and Retrieval Augmented Generation (RAG) architectures is a plus. Education: Bachelor's degree in Computer Science. Masters degree strongly preferred. Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.