17 Ai Deployment Jobs

YOUR IMPACT We are seeking an accomplished Principal AI Engineer to lead the architecture, framework development, and production deployment of next-generation GenAI systems within enterprise-scale environments. This role demands deep expertise in LLM orchestration, multi-agent systems, and Retrieval-Augmented Generation (RAG) and Agentic workflows. You will architect reusable AI frameworks , define enterprise-grade standards , and guide engineering teams in delivering scalable, secure, and contextually intelligent AI solutions that power critical business functions globally. What The Role Offers Lead the next generation of enterprise AI engineering , defining frameworks used across global bu...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud...

As a Senior Product Manager AI Solutions at our growing AI team, your role will involve identifying and prioritizing AI-driven use cases, collaborating with internal business teams and IT service providers to design and deliver AI-powered solutions that drive business growth, cost optimization, and process improvement. Your responsibilities will include: - **AI Strategy and Vision:** - Lead the identification of AI-driven use cases focusing on cost optimization, data management, and process transformation. - Define AI product roadmaps aligning with business objectives. - Guide the team on leveraging AI to optimize business workflows. - **AI Product Development & Delivery:** - Own end-to-end ...

Role Overview: As a Business Transformation Manager in BFSIH F&A at WNS (Holdings) Limited, you will play a key role in driving strategic transformation for client accounts by leveraging AI, Hyperautomation, and analytics. Your responsibilities will include driving the transformation roadmap, managing customer communication, contributing to client meetings, supporting RFPs, conducting goal setting with the team, and promoting best practice sharing across the team. You will be responsible for running improvement initiatives, identifying opportunities, making plans, implementing changes, and ensuring effective handover to Operations. Additionally, you will transfer knowledge and skills learned...

As a Generative AI Developer, your role will involve designing, developing, and implementing generative models using cutting-edge techniques in AI and ML, including GANs, VAEs, and Transformer-based architectures. You will work on reinforcement learning and generative adversarial networks, while also being familiar with data engineering and big data technologies. Your strong programming skills in Python, TensorFlow, PyTorch, Keras, Apache Spark, and Hugging Face transformers will be essential for this role. Additionally, you should be comfortable working with large scale datasets and distributed computing frameworks. Your innovative thinking and passion for exploring new ideas will be crucia...

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems. Key Responsibilities; Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving. Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions. Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker. Optimize training ...

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems. Key Responsibilities; Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving. Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions. Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker. Optimize training ...

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...