21181 Artificial Intelligence Jobs - Page 47

Position Summary A domain expertise of Employee Engagement, Employee relations, Exit Management, Retention Management, Performance Management, HR Operations, etc preferably with an IT/ITES firm. A self-driven self-motivated personality who should have an ability to coordinate with delivery Heads, peer groups and vendors on need basis. Candidates should have a strong inclination to take on additional responsibilities and ensure delivery with high level of commitment. To ensure the people-perspective is represented in business decisions so implications are understood and the workforce is proactively managed. Performs day-to-day activities to meet departmental/project objectives. Interact with ...

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with c...

Lead and scale a global Data Engineering & Operations team, fostering a culture of accountability, innovation, and continuous improvement. Drive operational excellence by establishing best practices for data pipeline monitoring, automation, and incident management using AI/ML-enabled observability tools. Oversee data infrastructure and workflows , ensuring performance, scalability, security, and compliance across cloud platforms (AWS, GCP, Azure). Define and track KPIs for data availability, quality, reliability, and incident resolution; present key metrics and insights to senior leadership regularly. Enable automation-first culture by reducing repetitive incidents and streamlining issue res...

Responsiblities Expected Core focus to be on experience on Enterprise architectureExpertise on Enterprise grade architecture, design, development, deployment of custom apps with an enterprise view Strong experience with a view of enterprise as a connected ecosystem (processes, data, applications, infrastructure) covering dependencies, integrations, and long-term scalability Proven experience in: Defining and enforcing architectural principles, policies, and standards Focus on reuse, modularity, and interoperability to reduce complexity Multiple experiences with Global production deployment and rollout of applications AI / Gen AI experience can be less than or up to 2 years ob DescriptionJob ...

Design, develop, and deploy highly available and scalable systems with a focus on AI and cloud-native solutions. Develop and optimize applications using Java, Spring boot, React, Java Script, ensuring high performance and reliability. Implement and integrate AI-driven solutions, including LLM-based applications, Gen AI, and Agentic AI frameworks. Build and maintain RESTful web services, Kafka queues, and Cosmos DB for real-time data processing. Leverage big data technologies such as Kafka to process and analyze large-scale datasets efficiently. Architect and implement microservices-based solutions using service-oriented architecture (SOA) principles. Deploy and manage applications on Azure c...

Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale. Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes. Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies. Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis. Contribute to the AI community by publishing research, presenting at top-tier conferences, and...

Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale. Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes. Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies. Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis. Contribute to the AI community by publishing research, presenting at top-tier conferences, and...

Design , develop and deploy AI-enabled tools to build solutions in Fintech domain Collaborate with cross-functional partners (Finance, Tech, Product) to align on priorities and execute initiatives Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Closely collaborate with team to drive data science adoption in the domain Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy Articulate and present recommendations to business partners and influence plans based on insights Work with the customer-centric mindset to deliver high-quality business driven AI sol...

Design, develop and deploy AI-enabled tools to build solutions in Fintech domain Collaborate with cross-functional partners (Finance, Tech, Product) to align on priorities and execute initiatives Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Closely collaborate with team to drive data science adoption in the domain Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy Articulate and present recommendations to business partners and influence plans based on insights Work with the customer-centric mindset to deliver high-quality business driven AI solu...

Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs. Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Integrate automated testing into development workflows to ensure consistent quality across releases. Participate in design and code reviews ensuring best practices in performance, maint...

We are seeking a seasonedTechnical Leadwith a strong data science background to lead a team of Data Scientists supporting a strategic client in the banking and financial services domain. This role combines hands-on technical leadership with solution architecture responsibilities, and is ideal for someone who can guide the team in applying advanced AI technologies includingagentic AI,RAG to solve complex business problems. Key Responsibilities Technical Leadership & Architecture Lead the design and delivery of AI/ML solutions usingRAG, and other transformer-based models. Work with the Architect to build scalable, secure, and compliant data science workflows usingLangFuse , Databricks , Dataik...

Design, train, and optimize deep learning models for core perception tasks object detection, semantic and instance segmentation, and 3D scene understanding using multi-modal sensor data (e.g., RGB-D). Devise labeling strategies, and tooling for automated annotation and QA. Contribute to dataset curation, balancing, and advanced augmentation techniques to simulate real-world illumination, occlusion, and high-mix variation scenarios. Develop continuous monitoring frameworks to assess model performance and reliability in real-world and simulated environments. Implement uncertainty estimation and failure detection methods to support fallback and recovery strategies in dynamic, unstructured condi...

As a Data Engineer, youll be building and scaling mission-critical data products that power worldwide operations business decisions. In this role, youll drive technical excellence while building data infrastructure and products. Youll be working on scalable solutions that process petabytes of data daily, serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains. Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data too...

Management, Cross-departmental Communication and Collaboration. On top, AI experience would be very beneficial since the PM would collaborate with AI engineers and data scientists to design, test, and refine AI prompts. Experience, Skills & Qualifications: Qualifications: Proven experience in Project Managing digital, AI, or interactive technology projects Strong project management skills (Agile/Scrum or similar methodologies). Excellent communication and stakeholder management abilities. Analytical mindset with a focus on sustainable and user-centric innovation.

1. Writing of Technical Data Authoring activities of a Manual in accordance with specifications and quality standards contractual commitments, configuration management rules and approved schedules. 2. Innovate and bring the process improvements in the technical data perimeter. 3. Assessment of aircraft design inputs (Mod & Mod Proposal, Service Bulletin, ...) that drive aircraft evolution in order to detect the impacts in the technical documentation. 4. Coordination with numerous interfaces: customer services departments, design offices, airlines, suppliers. 5. The jobholder also plays a key role in terms of continuous improvements for Technical Data processes & tools and for transnational s...

- Design, develop, and deploy LLM-based applications for clinical and operational workflows (summarization, chat, reasoning, data extraction). - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, or Vertex AI Matching Engine). - Work hands-on with LLM APIs (OpenAI, Claude, Gemini, Mistral, Llama) for fine-tuning, evaluation, and productionization. - Build and maintain AI microservices / APIs using FastAPI or Flask, integrated with FoldUnity platform. - Implement Agentic AI workflows (multi-step reasoning, tool use, and task orchestration) using frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Collaborate with the Data Engi...

Job_Description":" 1. Strategic Program Management - Work directly with the CEO to translate high-level business objectives into actionable program plans and measurable outcomes. - Partner with Product and Engineering leadership to define and align quarterly OKRs, milestone timelines, and key success metrics. - Structure and oversee large, cross-functional initiatives spanning Product, Data, AI, and Customer Success ensuring clear ownership, sequencing, and progress visibility. 2. Cross-Functional Delivery & Execution - Own the end-to-end execution rhythm: from planning to delivery to post-release validation. - Track progress across engineering pods (Backend, AI, Data, Integration, QA) and p...

Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases. Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel . Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). Guide engineers on prompt design, model evaluation, multi-step orchestration , and hallucination control . Collaborate with product managers, data engineers, and designers to align AI architecture with business goals . Manage end-to-end AI lifecycle data ingestion, fine-tuning, eva...

Research new topics, latest trends and generate fresh content ideas. Write short-form and long-form content such as social media posts and website blogs. Required Skills: Good writing, storytelling and communication skills. Interested in making an impact in the content field. Familiarity with using AI tools to enhance content. Basic understanding of SEO is a plus.

Bring stories to life: Ideate, design, and edit a wide range of video content from CyberEd.io e-learning courseware and webinars to digital interviews, brand videos, motion graphics, and social media campaigns. Enhance live experiences: Create visually compelling assets for live event coverage, including stage screens, landing pages, event websites, and on-site broadcast signage. Deliver broadcast-quality visuals: Apply advanced editing techniques such as color correction, grading, stabilization, and other visual enhancements to ensure every video meets professional standards. Own the green screen process: Manage and post-produce green screen shoots with customized backgrounds (static or mot...

The Position Data Architecture and Technology (Advanced Skills): Build and maintain a unified view of the affiliate s data architecture leveraging strong data engineering expertise to map data tables, understand underlying schemas, and oversee data flow across systems, from source to warehouse, ensuring clarity, reliability, and alignment with business needs while maintaining and upgrading ETL processes. Collaborate with cross-functional teams partner with data governance, data engineering, analytics teams to ensure data pipelines, definitions, and reports align with data definitions to maintain consistency. Comply with data governance practices, flag gaps or redundancies in sources or proce...

Drive pipeline development through partner led-opportunities, ensuring consistent communication and coordination with Account Executives to align partner strategies with regional business plans. Develop and maintain joint business plans outlining shared goals, budgets, and strategies. Hold regular partner management meetings, including weekly and quarterly reviews, to ensure ongoing alignment with SUSEs sales strategy. Serve as a central point of contact for partner-related activities by building and expanding relationships with assigned strategic partners. Leverage SUSEs network to develop business models that align partner capabilities with SUSEs open-source solutions, fostering a collabor...

(Structural | Environmental & Water Resources | GIS & Remote Sensing | Geotechnical | Construction Management | Transportation) b) Electronics and Communication Engineering (VLSI Design | Internet of Things | Wireless Communication | Artificial Intelligence & Machine Learning | Antenna Design | Semiconductor Device Modelling | Signal & Image Processing | Embedded Systems) c) Robotics Engineering (Robot Design & Programming | Mechatronics | Robot Operating System) d) Aerospace Engineering (Space Dynamics | Computational Fluid Dynamics) e) Biomedical Engineering (Biosignal Processing | Medical Instrumentation | Healthcare Embedded Systems) (General Biotechnology | Stem Cell Technology | Health...

Should have basic knowledge of Devops Technology/CICD Good knowledge of Linux systems Basic understanding of Networking concepts Basic knowledge of cloud Required good knowledge of AI-powered tools Good to have Database Knowledge - Mysql and MongoDB Good communication skills Problem solving attitude Ready to learn and adapt new technologies Team Spirit Responsibilities Assist in setting up and maintaining CI/CD pipelines. Work with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Monitor system health, logs, and alerts. Collaborate with development teams for smooth code deployment. Help other team members to perform their regular tasks. Develop scripts to automate manual tasks. ...

Key Responsibilities: Design and develop Gen AI and Agentic solutions leveraging Python, LangGraph, LangChain, and Large Language Models. Build and optimize AI workflows on AWS (S3, Lambda, EC2, OpenSearch, Bedrock). Collaborate with cross-functional teams to deliver AI-driven solutions for the travel domain. Ensure scalability, performance, and integration of AI systems into business processes. Required Skills: Strong expertise in Python, Gen AI frameworks (LangChain, LangGraph), and LLM-based applications. Hands-on experience with AWS cloud services (S3, Lambda, EC2, OpenSearch, Bedrock). Knowledge of AI-driven architectures and model deployment.