335 Model Deployment Jobs - Page 5

As a Generative AI Solution Architect with 7+ years of experience, your role will involve designing, implementing, and scaling AI-powered solutions across enterprise use cases. You will work closely with business stakeholders, data scientists, and engineering teams to ensure the development of scalable, secure, and high-performing AI-driven applications. Key Responsibilities: - Architect end-to-end Generative AI solutions, integrating LLMs, vector databases, APIs, and cloud-native services. - Define system architecture, data flows, and integration strategies between AI models and existing enterprise platforms. - Ensure solutions are scalable, cost-efficient, secure, and aligned with complian...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Experience in machine learning, deep learning, and AI development, along with experience building and deploying production-level models. Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment. Experience in working with distributed teams across multiple time zone...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects and 2 years of experience in a people management, supervision/team leadership role. Prefer...

Role Overview: As a Software Engineering Manager at Google, your role goes beyond just Search. You will have the technical expertise to take on and provide technical leadership to major projects, while also managing a team of Engineers. Your responsibilities will include optimizing your own code, ensuring that Engineers are able to optimize theirs, managing project goals, contributing to product strategy, and helping develop your team. You will work across the company in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. Operating with s...

Role Overview: As a Generative AI Solution Architect at NVIDIA, you will be a crucial member of the AI Solutions team, responsible for architecting and delivering innovative solutions that harness the power of NVIDIA's generative AI technologies. Your focus will be on training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). Your role will involve collaborating with customers, working with sales and business development teams, engaging with NVIDIA engineering teams, and providing technical leadership on best practices for training LLMs and implementing RAG-based solutions. Key Responsibilities: - Architect end-to-end generative AI solutio...

Role Overview: As an AI Engineer at UST, you will be a crucial part of the team responsible for developing and deploying innovative AI solutions. You will collaborate with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life, contributing to the AI transformation of the organization. Key Responsibilities: - Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. - Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development. - Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless fun...

As a Sr Consultant in Data Science and Analytics at TransUnion, you will be responsible for designing, developing, and deploying machine learning and deep learning models for real-world applications. Your role will involve analyzing large-scale datasets using Spark and SQL to uncover trends and patterns, collaborating with data engineers, analysts, and business stakeholders to define data-driven strategies, and building robust data pipelines and model training workflows. Additionally, you will be expected to communicate complex findings clearly through visualizations, presentations, and reports, while continuously exploring and implementing the latest advancements in AI and data science. Key...

You will be working at Tata Electronics Private Limited (TEPL), a greenfield venture of the Tata Group specializing in manufacturing precision components. As a subsidiary of Tata Sons Pvt. Ltd., TEPL is dedicated to developing India's first AI-enabled state-of-the-art Semiconductor Foundry, focusing on producing chips for various applications like power management IC, display drivers, microcontrollers, and high-performance computing logic to cater to markets such as automotive, computing, data storage, wireless communications, and artificial intelligence. **Key Responsibilities:** - Develop and implement advanced machine learning models to address complex business challenges, translating ana...

As an Application Engineer at Tookitakis in the Services Delivery Team, your primary role will be to configure the FinCense platform to meet client-specific requirements. Your responsibilities will include product configuration and customization, data science and analytics support, technical expertise and issue resolution, collaboration and cross-functional alignment, as well as continuous improvement and documentation. Key Responsibilities: - Product Configuration and Customization - Configure the FinCense platform based on client-specific requirements and workflows. - Implement data science models, algorithms, and workflows tailored to client use cases. - Collaborate with Client Enablement...

As a Senior Data Scientist at Medtronic, you will play a crucial role in driving innovation and transforming commercial operations through cutting-edge data science and artificial intelligence techniques. **Role Overview:** You will be responsible for designing, developing, and implementing statistical models, machine learning / deep learning algorithms, and AI techniques to solve complex business problems and enhance commercial excellence. Additionally, you will collaborate closely with cross-functional teams to ensure alignment with commercial requirements, document solutions, optimize machine learning models for performance, deploy code in production environments, monitor model performanc...

As a C14 (People Manager) at Citi within the Financial Crimes & Fraud Prevention Analytics Model Development team in Pune, India, reporting to the Director/Managing Director, AIM, your primary role is to lead a team of 15+ data scientists. Your responsibilities include: - Leading a team of data scientists to work on various tools and technologies for successful development and implementation of Machine Learning (ML)/AI/Gen AI models on different platforms - Mitigating fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform, analyzing transaction data, understanding fraud pattern, and developing models to minimize fraud losses and customer impact - Collab...

Role Overview: As a software engineer at Google, you will be developing next-generation technologies that impact billions of users worldwide. Your role will involve working on critical projects, collaborating with teams, and addressing complex engineering challenges to enhance the search experience for users globally. Key Responsibilities: - Write product or system development code. - Collaborate with peers and stakeholders through design and code reviews to ensure best practices. - Contribute to existing documentation and educational content, adapting based on feedback. - Triage product issues, debug, track, and resolve by analyzing sources of issues. - Implement GenAI solutions, utilize ML...

Job description WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value - and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: Software Engineer III play a key role in the design, development/configuration, unit testin...

Who We Are: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products, empowering individuals to protect their financial futures. Our success is driven by three core values: Be Bold , Team Up , and Deliver Value and we live by these values every day. Zinnia manages over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and more than 2 million policyholders. Who You Are: You are a passionate and skilled Python Developer with experience in AI/ML , bringing 3-5 years o...

Who We Are: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products, empowering individuals to protect their financial futures. Our success is driven by three core values: Be Bold , Team Up , and Deliver Value and we live by these values every day. Zinnia manages over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and more than 2 million policyholders. Who You Are: You are a passionate and skilled Python Developer with experience in AI/ML , bringing 3-5 years o...

Role Overview: You will be joining NTT DATA as a Senior Consultant, Data Scientist in the Supply Chain Consulting team. Your main responsibility will be to design and implement forecasting solutions for demand planning and other supply chain challenges using both traditional statistical models and modern machine learning techniques. Additionally, you will work on developing AI/ML-driven solutions for various supply chain functions. Key Responsibilities: - Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases. - Apply statistical techniques such as ARIMA, ETS, etc for effective baseline modeling. - Implement and optimize machine lea...

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying scalable ML solutions using GCP and Vertex AI. You will work closely with data scientists, engineers, and product teams to operationalize models and manage the full ML lifecycle. Key Responsibilities: Model Development & Deployment: Build, train, and optimize ML models using Vertex AI (AutoML, custom training jobs, Workbench). Deploy models to production using Vertex AI endpoints and integrate with APIs or downstream systems. ML Pipelines & MLOps: Design and implement scalable ML pipelines using Vertex AI Pipelines, Kubeflow, and Cloud Functions. Apply CI/CD practices using Cloud Build, GitHub Ac...

As aSenior/Leadspecializing inGenerative AIandMachine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincludingLarge Language Models (LLMs)to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable, production-ready AI solutions that drive intelligent automation and spark creativity across industries. Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale cutting-edge applications leveraging Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices. Model Customization & Fine-Tuning: Fine-tune...

As aSenior/Leadspecializing inGenerative AIandMachine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincludingLarge Language Models (LLMs)to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable, production-ready AI solutions that drive intelligent automation and spark creativity across industries. Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale cutting-edge applications leveraging Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices. Model Customization & Fine-Tuning: Fine-tune...

As aSenior/Leadspecializing inGenerative AIandMachine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincludingLarge Language Models (LLMs)to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable, production-ready AI solutions that drive intelligent automation and spark creativity across industries. Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale cutting-edge applications leveraging Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices. Model Customization & Fine-Tuning: Fine-tune...

About the Role: We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning models for our AI-based fitness coaching platform . The role involves building intelligent systems that analyze workout history data, provide AI-driven insights, and deliver personalized recommendations to customers. Key Responsibilities: Develop and deploy ML models for personalized fitness coaching (exercise recognition, workout recommendations, posture correction). Analyze workout history data and generate AI-powered insights & analytics. Build recommendation systems for custom workout and nutrition plans. Work with time-series, sensor, and user activity data to extract pattern...

As a ML Engineer at ClearTrail, you will be part of a team dedicated to creating solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With over 21 years of experience, ClearTrail is a trusted partner of law enforcement and federal agencies worldwide in protecting nations and enhancing lives. You will be working in Indore, Madhya Pradesh, utilizing your expertise in machine learning and Large Language Models (LLM). **Roles and Responsibilities:** - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varie...

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. 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...

Role Overview: You will be a passionate and skilled AI/ML Engineer, contributing to the development of cutting-edge web and mobile applications powered by artificial intelligence. Your role will involve close collaboration with product managers, designers, and developers to incorporate intelligent features that enhance user experience and deliver real-world value. Working at the convergence of machine learning, natural language processing, and full-stack development, you will apply your expertise to create tangible products for a large user base. Key Responsibilities: - Design, develop, and deploy machine learning models for both web and mobile applications. - Collaborate with frontend and b...

Role Overview: You will be a crucial part of the team, focusing on driving the strategic vision and progress of cutting-edge machine learning models and algorithms to tackle complex challenges. Your collaboration with data scientists, software engineers, and product teams will involve implementing innovative AI/ML solutions to enhance services. Your responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to generate valuable business insights and enhance customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives at the organizational level. - Lead the ...