21181 Artificial Intelligence Jobs - Page 5

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. Architect and develop end-to-end AI/ML and Gen AI solutions, focusing on scalability, performance, and modularity while ensuring alignment and best practices with enterprise architecture standards. Manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement,...

Design, build, deploy machine learning, statistical, optimization models into Uber production systems for a wide range of applications. Collaborate with multi-functional teams across areas such as product, engineering, operations, and design to drive system development end-to-end from conceptualisation to productionization. Understanding product performance and to find opportunities within data. Basic Qualifications ---- 3+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, Research Scientist or equivalent. Experience in production coding and deploying ML, statistical, optimization models in real-time systems. Ability to use Python or other programming lan...

Design, develop, and maintain applications in .NET (C#) or Python . Implement RAG pipelines by integrating LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) with enterprise and external data sources. Develop MCP-based integrations to connect tools, APIs, and enterprise data systems with LLMs. Build APIs and microservices for AI-powered search, summarization, and conversational AI . Create document ingestion pipelines (PDFs, databases, SharePoint, etc.) and manage embeddings with vector databases (Pinecone, Weaviate, FAISS, Qdrant, Azure Cognitive Search, etc.) . Collaborate with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions. ...

Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring highquality deliverables Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning Ensure compliance with data goverce standards and ethical AI practices in all implementations Present AI insights and project progress to clients and internal leadership, adapting technica...

Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikitlearn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Stron...

9+ years experience in handling JAVA Springboot and Microservices. Working knowledge in Kafka and Cucumber Testing. Good to have DBMS and RDBMS experience with understanding of Postgresql and Aurora. Good to have Banking domain experience. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by softwa...

1. Full-Stack Development & Implementation: Design, implement, test, and deploy robust backend components for the agentic AI platform (APIs, services, orchestration, data persistence) using languages like Python, Typescript, Java, etc. (Python highly relevant). Design, implement, test, and deploy user-facing features and internal tools using modern frontend technologies, including JavaScript, TypeScript, React, HTML, and CSS. Develop core libraries, SDKs, and components across the stack to enable efficient development and deployment of AI agents and associated tooling. Write high-quality, maintainable, and well-tested code for both backend and frontend systems. Implement and improve monitori...

Build and implement AI/ML models to detect anomalies, threats, and malicious behavior across enterprise systems. Work together with security analysts and engineers to develop scalable AI solutions for identifying and responding to threats. Lead research and development of new techniques in adversarial machine learning, behavioral analytics, and predictive threat modeling. Integrate machine learning capabilities into existing security platforms (e.g., SIEM, SOAR, EDR). Stay current with emerging trends in AI, cybersecurity, and threat intelligence. Collaborate with security architects and engineers to assess, trial, and deploy fresh security technologies and solutions. Your experience should ...

Business Partnering: Collaborate with executive and their leadership teams to understand cost drivers and align financial plans with operational goals via superior analytics. Data Insights: Leverage financial and operational data and identify trends, risks opportunities to streamline data, automate data extraction develop new metrics. Summarize complex technical information into simplified and actionable insights for senior management. Reporting & Analytics: Utilize an advanced understanding of multiple data structures, sources, and tools to guide business partners in the development of Power BI reports, which may include data visualization, business intelligence, or data collection. Financi...

Identify and qualify new sales opportunities through inbound lead follow-up and outbound cold calls and emails. Conduct product demonstrations and presentations to potential clients, showcasing the value proposition of our HR Tech solutions. Manage and maintain a pipeline of qualified leads, ensuring accurate and up-to-date information in our CRM system. Develop and execute sales strategies to achieve monthly and quarterly sales targets. Build and maintain strong relationships with key decision-makers within target organizations. Collaborate with the marketing and product development teams to provide feedback and insights on market trends and customer needs. Prepare and deliver sales proposa...

Design, build, and own the Finance Data Cube , integrating financial, customer, and operational datasets. Model data to support CLTV, Contribution Margin , and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.) Be a data architect for Finance , bring different data into cohesive and answer critical questions Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders. Scale data infrastructure to support large volumes and complex financial models. Translate complex financial concepts and KPIs into scalable, maintainable data models. Implement strong controls for data quality, lineage, and gove...

Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Conduct thorough web research to verify information and collect supporting evidence. Collaborate with large language models (LLMs) and internal tools, using them as copilots to complete complex tasks. Design and refine prompts to guide AI toward higher-quality results. Apply best practices for working with LLMs, understanding both their strengths and limitations. Adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines. How to get started You are currently enrolled in or completed a Bachelors and/or Masters degree in any field. You have pro...

You are currently enrolled in or completed a Bachelors and/or Masters degree in any field. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity . You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusi...

The Customer Excellence Advisory Lead (CEAL) aims to enable customers to fully leverage their data by offering top-tier architectural guidance and design expertise . As part of the Oracle Analytics Service Excellence organization, our team includes Solution Architects who specialize in Oracle Analytics Cloud and Server. Our main goal is to ensure the successful adoption of Oracle Analytics. We engage with customers and partners globally, building trust in Oracle Analytics. We also collaborate with Product Management to enhance product offerings and share our insights through blogs, webinars, and demonstrations. This role is crucial for any enterprise aiming to fully leverage Oracle Analytics...

Overview Karya is a pioneering organization dedicated to redesigning the way AI models are trained. We prioritize ethical data collection, fair compensation for our workers, and creating digital skilling pathways for their growth. As the Head of AI, you will play a pivotal role in ensuring our workers are engaged in cutting-edge AI work, optimizing our AI processes, and driving ethical AI data collection practices. Additionally, you will spearhead initiatives to bring AI-enabled earning and learning opportunities to low-income communities globally. Responsibilities Bringing Cutting-Edge AI Work Opportunities to Our Communities Identify unique opportunities for our worker communities to be in...

Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI. Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. Leverage AWS services for data transformation, feature engineering , AI product development and deployment. Communicate complex technical ideas to stakeholders via data visualisation Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects. Essential Skills and Qualifications: Bachelor or masters degree in data science (or similar) or equivalent commercial experience Experience with working with senior st...

We are seeking a highly motivated and talented Bedrock AI Engineer to join our team. work with Amazon Web Services AWS Bedrock to leverage cutting edge generative AI models for building and deploying AI driven applications. You will play a key role in enhancing our AI capabilities by designing, developing, and scaling AI solutions using Bedrocks foundation models and customizations. Hands on experience in Bedrock AI engineering. Proven experience working with generative AI, deep learning models, or large language models. Familiarity with AWS services (e.g., EC2, Lambda, S3, SageMaker, and Bedrock). Strong knowledge of Python, TensorFlow, PyTorch, or similar AI frameworks. Experience with clo...

Lead a new category of enterprise software that we call Unified-CXM. Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience. Create a culture of customer obsession, with trust, teamwork, and accountability.

Vision & Strategy: Spearhead the development and implementation of cutting-edge AI solutions by crafting the vision, strategy, roadmap, and execution plan. Product Development: Build detailed product requirements, narratives, and technical specifications. These should be driven by customer feedback and intuitive product thinking. Re-Imagine User Experience: Youll take the lead in re-imagining the end-to-end User Experience of our product, optimizing for an AI-first world. You will do this across our Web and Mobile applications. Data-Driven Insights: Utilize data to deeply understand user needs and guide future product development. Build the necessary Analytics layer to enable data-driven dec...

Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Conduct thorough web research to verify information and collect supporting evidence. Collaborate with large language models (LLMs) and internal tools, using them as copilots to complete complex tasks. Design and refine prompts to guide AI toward higher-quality results. Apply best practices for working with LLMs, understanding both their strengths and limitations. Adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines. You are currently enrolled in or completed a Bachelors and/or Masters degree in any field. You have professional and/or ed...

AI/ML Solution Design & Development Architect and implement document understanding pipelines (structured + unstructured data). Build retrieval-augmented generation (RAG) systems and LLM-based copilots for enterprise knowledge management. Develop agentic AI workflows (using LangChain Agents, Semantic Kernel, AutoGen, etc. ) for multi-step reasoning and automation. Integrate OCR, computer vision, and NLP models to process scanned PDFs, engineering drawings, invoices, and P&ID diagrams. Fine-tune and optimize LLMs and VLLMS (OpenAI, Azure OpenAI, Hugging Face, LLaMA, Yolo etc. ) for enterprise use. Cloud & Data Engineering Build scalable AI solutions on Azure tech stack (Azure AI Search, Cognit...

Python Full stack : Elevate Your Impact Through Innovation & Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and t...

What you will do In this vital role you will be working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Function...

What you will do In this vital role you will support an ambitious program to evolve how Amgen does forecasting, moving from batch processes (e.g., sales forecasting to COGS forecast, clinical study forecasting) to a more continuous process. The hardworking professional we seek is curious by nature, organizationally and data savvy, with a strong record of Finance transformation, partner management and accomplishments in Finance, Accounting, or Procurement. This role will help redesign existing processes to incorporate Artificial Intelligence and Machine Learning capabilities to significantly reduce time and resources needed to build forecasts. As the Next Gen Forecasting Senior Associate at A...

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more t...