4 Ai Expertise Jobs

You will be joining LTIMIndtree's Quality Engineering team in Bangalore as an AI Assurance Architect. In this role, you will be required to have a deep understanding of artificial intelligence, machine learning, and deep learning concepts. Your knowledge of various AI frameworks, libraries, and tools such as TensorFlow and PyTorch will be essential. Your responsibilities will include designing and implementing testing methodologies specific to AI models and algorithms. You should have experience in testing different types of AI models, including supervised and unsupervised learning. Assessing and ensuring the quality of training data for AI models will be a crucial aspect of your role, along with expertise in data preprocessing and cleaning techniques. You will be expected to have strong skills in developing automation scripts for AI applications using open-source tools. Familiarity with specialized AI testing tools and frameworks will also be beneficial. Experience in assessing and optimizing the performance and scalability of AI models will be required, including the ability to simulate various scenarios to evaluate model behavior under different conditions. Your knowledge of ethical considerations in AI will be important, and you should be able to implement testing practices that align with responsible AI principles. Effective collaboration with senior stakeholders and cross-functional teams will be necessary for success in this role. Awareness of regulations and standards related to AI and ensuring compliance with relevant guidelines will also be part of your responsibilities. Your strong analytical and problem-solving abilities will be essential to identify and address challenges in AI testing. Moreover, you should have experience in building technology testing capabilities from scratch.,

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

As an AI Engineer at Deutsche Bank, you will play a crucial role in designing, developing, and implementing AI-based solutions for CB Tech. By working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning, you will drive innovation and lead efforts to modernize the engineering landscape. Your role will involve identifying AI use cases and providing local support, contributing to the development of innovative products. You will collaborate as part of a cross-functional agile delivery team, bringing an innovative approach to software development and focusing on the latest technologies and practices to deliver business value. Your dedication to open code, open discussion, and creating a supportive, collaborative environment will be essential as you contribute to all stages of software delivery, from initial analysis to production support. Key Responsibilities: - Design, develop, and implement AI and Gen-AI-based Agentic software systems on the cloud. - Collaborate with development teams and subject matter experts to integrate shared services into products. - Operate within Deutsche Bank's AI Governance framework and adhere to safe AI principles. - Utilize architecture decision trees to select strategic AI patterns for solving business problems. - Integrate Gen-AI APIs with cloud-native presentation and persistent layers. - Scale systems while innovating and evolving continuously. - Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. - Monitor AI solution performance and implement improvements. - Lead training sessions and create comprehensive documentation for end users. - Function as an active member of an agile team. Skills You'll Need: - Proficiency in AI frameworks, libraries, and cloud platforms. - Crafting effective prompts and enhancing AI outputs. - Strong understanding of natural language processing and conversational AI. - Experience in model deployment, monitoring, optimization, and problem-solving. - Proficiency in Python or Java, SQL, and RESTful design. - Experience with enterprise and real-world data sets. - Putting ML/AI into production and discussing best practices. - Relationship and consensus building skills. Skills That Will Help You Excel: - Ability to explain AI concepts to non-technical audiences. - Flexibility in learning new tools and developing innovative solutions. - Experience with cloud-native databases/warehouses and data visualization. - Thought leadership in emerging technologies related to AI. Join us at Deutsche Bank and be part of a culture that empowers you to excel daily, take initiative, and work collaboratively. We promote a positive, fair, and inclusive work environment where success is celebrated and shared across our teams. Apply today to drive innovation and shape the future of AI at Deutsche Bank.,

As a Performance Marketer (AI-Powered Paid Ads Specialist) for an FMCG food brand, your primary responsibility will be to drive revenue growth through AI-driven marketing strategies. You will be required to plan, execute, and optimize Meta, YouTube, and Google Ads campaigns using AI tools like ChatGPT for audience targeting and automated bidding. A/B testing will be crucial to enhance conversions and engagement levels. Your role will also involve tracking and analyzing campaign performance using tools such as Google Analytics & Meta Business Suite, in addition to collaborating with content and design teams for ad creatives. It is essential to stay updated on AI marketing trends and implement new advertising strategies to ensure high ROI. To be successful in this role, you should have 2-5 years of experience in managing high-budget paid campaigns and possess expertise in Meta, YouTube & Google Ads. Proficiency in AI-powered ad tools & analytics, strong A/B testing skills, and experience with Google Analytics, Meta Business Suite & Google Tag Manager are also required. A data-driven mindset focusing on ROI and performance growth will be key to achieving success in this position. This is a full-time, permanent position with a flexible work schedule. The job offers performance and yearly bonuses and requires in-person work location.,