10 Ai Deployment Jobs

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

Candidates Specification Notice Period - Immediate to 30 Days Required Skills & Qualifications: Experience in AI adoption and deployment, including running pilots and POCs. Strong understanding of AI technologies and their applications Excellent communication and collaboration skills. Ability to identify and promote relevant AI use cases. Strong analytical and problem-solving skills Key Role Accountabilities/Responsibilities: Identify and promote the deployment of AI use cases that deliver value to Amadeus business units. Assist solution teams with the implementation of AI use cases or run pilots, POCs, and other projects to get the use case implemented. Work closely with DTS solution teams ...

Develop and optimize AI models for insurance use cases, apply data science for predictive insights, innovate with latest AI, integrate with engineering teams, and ensure scalable, cost-efficient, reliable deployment and maintenance. Required Candidate profile Hands-on with GenAI, LLMs, prompt engineering, and fine-tuning; skilled in Python, TensorFlow, PyTorch; strong in data science, predictive analytics, and MLOps for scalable AI deployment.

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionall...

Who are we looking for? AI Engineer Immediate Joiner Preferred We are looking for a skilled and passionate AI Engineer with 46 years of experience in AI/ML model development and deployment. The ideal candidate will have expertise in building voice, vision, and recommendation systems , with the ability to optimise models for edge devices and collaborate with hardware teams to deliver seamless AI-powered solutions. Whats the story? In India, while UPI and digital banking have achieved mass adoption, millions of underbanked communities and emerging businesses still lack access to intelligent, affordable, and accessible solutions. At branchX , we are reimagining empathetic banking powered by AI ...

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions...

Responsibilities: * Design enterprise architectures for AI deployments, data lakes & warehouses. * Lead legacy system modernization initiatives. * Ensure compliance with NIST, ISO & GDPR standard * Align AI, cloud, and security with business goals.

Core Skills & Knowledge: Generative AI Expertise: Understanding of AI Models: Familiarity with various generative AI models like Large Language Models (LLMs), image generation models, and other relevant technologies. Prompt Engineering: Ability to craft effective prompts to guide AI models and achieve desired outcomes. AI Model Fine-Tuning: Knowledge of techniques to customize and improve AI models for specific applications. AI Deployment: Experience in deploying AI models into production environments. Software Development Proficiency: Programming Languages: Strong coding skills in languages like Python, JavaScript, Java, or similar. Software Architecture: Understanding of software architect...

Drive strategic transformation roadmap for client accounts leveraging AI, Hyperautomation, Analytics Drive customer communication Contribute and present in client/customer reviews/meetings RFP support and defense Conduct goal setting with the team and ensure effective and measurable reviews and feedback mechanisms Follow appraisal and feedback mechanism Initiate and best practice sharing across the team Responsible for running improvement initiatives across the company as well as at client sites Identify possible improvement opportunities, make improvement plans, implement them, and ensure handover to operations Transfer knowledge and skills learned during expert training sessions to other e...

Youll make a difference by: Siemens is seeking a visionary and technically strong Lead AI/ML Engineer to spearhead the development of intelligent systems that power the future of sustainable and connected transportation. This role will lead the design and deployment of AI/ML solutions across domains such as efficiency improvements in software development process, predictive maintenance, traffic analytics, computer vision for rail safety, and intelligent automation in rolling stock and rail infrastructure. Key Responsibilities Lead the end-to-end lifecycle of AI/ML projectsfrom data acquisition and model development to deployment and monitoringwithin the context of mobility systems. Architect...