123 Model Monitoring Jobs - Page 2

Role Overview: As an Assistant Vice President in the Impairment US Cards Portfolio Analytics team at Barclays, you will play a crucial role in embedding a control functionality by leading the development of team outputs. You will assist your colleagues in demonstrating analytical and technical skills, along with a solid understanding of retail credit risk management, particularly focusing on impairment management. Your sound judgment and collaboration with the wider team and management will be key to success in this role. Key Responsibilities: - Provide commentary for multiple forums and own IFRS9 risk models for managing the entire lifecycle from data governance to monitoring - Develop Post...

Embark upon a transformative journey as a Technical Delivery Lead. At Barclays, we don't just embrace change we drive it. As a Technical Delivery Lead, you will lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. To be a successful Technical Delivery Lead, you should have experience with: Proven experience in leading, designing and implementing python models using a model execution platform/application (eg: Databricks) in public cloud...

As a professional services firm affiliated with KPMG International Limited, KPMG entities in India have been providing services to national and international clients across various sectors since August 1993. With offices spread across multiple cities in India, including Ahmedabad, Bengaluru, Mumbai, and more, we strive to offer dynamic, performance-based services that leverage our global network and local expertise. In this role, you will: - Have prior experience in model development, validation, or monitoring with GSIBs or Indian Banks. - Demonstrate a good understanding of Market Risk Model Development methodologies and FRTB Quants. - Assist in preparing detailed quantitative analysis repo...

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...

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...

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...

Design, develop, implement AI and Generative AI solutions to address business problems and achieveobjectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, andoptimizeAI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor andmaintaindeployed models, ensuring consistent performance and r...

Senior Machine Learning Engineer - MLOps, VertexAI, LLMs, GenAI, ML Model Management About The Role : Job Summary: We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and...

Role Overview: As a Python Developer within the Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. You are expected to possess hands-on experience with GPT-4, transformer models, and deep learning frameworks. Your role will involve designing, developing, and maintaining Python applications tailored towards AI/ML and generative AI. Furthermore, you will be responsible for building and refining transformer-based models such as GPT, BERT, and T5 for NLP and generative tasks. Key Responsibilities: - Design, develop, and maintain Python applications focusing on AI/ML and gener...

As an Analyst in Impairment at Barclays, you will play a crucial role in embedding control functionality by leading the development of outputs for the team. Your responsibilities will include supporting colleagues in demonstrating analytical and technical skills, as well as knowledge of retail credit risk management fundamentals, especially in impairment management. Collaboration with the wider team and management will require sound judgment from you. - Provide commentary for various forums - Own IFRS9 risk models throughout their lifecycle - Develop Post Model Adjustments - Review model monitoring reports - Design and implement remediation strategies - Support the production of commentary p...

**Job Description:** As a Technical Lead Manager for the Contributor Trust Modeling team in Geo at Google, you will play a crucial role in driving improvements to Google Maps information quality by leveraging Machine Learning (ML) to identify user intent and distinguish trustworthy from abusive behavior. Your responsibilities will include mentoring engineers, guiding ML system development and deployment, and setting the team's technical direction in collaboration with cross-functional teams to enhance experiences for Google Maps users and local merchants. **Key Responsibilities:** - Partner with cross-functional teams to evolve strategy while guiding the team to enhance solution quality. - D...

Job Title: MLOps Engineer Location: Remote / Pan India,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad iSource Services is hiring for one of their client for the position of MLOps Engineer. About the Role: The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount. Core Requirements (In Order of ...

Role Overview: At our organization, we prioritize people and are dedicated to providing cutting-edge AI solutions with integrity and passion. We are currently seeking a Senior AI Developer who is proficient in AI model development, Python, AWS, and scalable tool-building. In this role, you will play a key part in designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. Key Responsibilities: - Develop and deploy AI models using Python and AWS for enterprise applications - Build scalable AI-powered tools - Design and optimize machine learning pipelines - Implement NLP and GenAI mo...

Role Overview: As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), sta...

Role Overview: At Zebra, you will be part of a community of innovators dedicated to creating new ways of working to improve everyday life. United by curiosity and care, the team at Zebra develops dynamic solutions that anticipate the needs of customers and partners and solve their challenges. As a member of Zebra Nation, you will be seen, heard, valued, and respected, collaborating with diverse perspectives to deliver on the company's purpose. You will have the opportunity to learn and lead at a forward-thinking company, shaping a fulfilling career path while contributing your skills to causes you care about locally and globally. Join a team that is redefining the future for organizations, t...

Role Overview: You will be a C14 (People Manager) in the Citi Analytics & Information Management (AIM) team located in Pune, India. Reporting to the Director/Managing Director, AIM, you will lead a team of 15+ data scientists within the Financial Crimes & Fraud Prevention Analytics modelling team. Your primary focus will be on developing and implementing Machine Learning (ML) /AI/Gen AI models to mitigate fraud losses, analyze transaction data, and minimize customer impact while working on different platforms. Key Responsibilities: - Lead and manage a team of data scientists to develop and implement ML /AI/Gen AI models on various platforms - Provide technical leadership, mentorship, and gui...

Role Overview: The Software Engineer role at our company entails spearheading the development, optimization, design, and delivery of end-to-end software solutions and automated solutions. You will collaborate with a global team to support development initiatives across various business functions using an agile delivery approach. Your success in this position will be determined by your application of programming best practices to develop applications and APIs that support Epiq's automation initiatives with cutting-edge technology. As a self-driven and effective communicator, you should be able to excel in a fast-paced, innovative environment, requiring collaboration with IT and business resou...

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of AI/ML industry experience for Bachelors/Masters, 4+ years for PhD, with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, sciki...

As a highly skilled MLOps Engineer at UPS, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. Your role will involve collaborating with technical teams and business stakeholders to develop cutting-edge machine learning systems that add value to the business. Responsibilities: - Managing the deployment and maintenance of machine learning models in production en...

As an MLOps Engineer at our company, you will play a crucial role in building, deploying, and maintaining machine learning models in production using Google Cloud Platform (GCP). You will collaborate closely with data scientists and engineers to ensure the reliability, scalability, and performance of our ML systems. Your expertise in software engineering, data engineering, and machine learning will be utilized to automate ML pipelines, monitor model performance, and troubleshoot any issues that arise. This is an exciting opportunity to work on cutting-edge ML projects and have a significant impact on our business. Key Responsibilities: - Design, develop, and maintain scalable and reliable ML...

The successful candidate will join the Model Risk Management and Validation Group (MRM&V). MRM&V performs independent analytical reviews and validations of all models throughout Bank. The candidate will perform analysis of quantitative models and other tools through extensive reviews into how the models was developed and how it functions. The candidate will also provide written communications of their findings in a clear, succinct manner to all model stakeholders including model owners, developers, lines of business, audit and regulatory agencies. By the nature of this position, the successful candidate will be exposed to a wide variety of models and business analysts, and senior management....

The Opportunity As the Global Practice Lead AI, you will lead the global strategy, development, and delivery of AI solutions centered around Nutanix Enterprise AI (NAI). This role demands deep expertise in generative AI, LLMOps, and hybrid cloud architectures, with a strong focus on operational simplicity, scalability, and enterprise-grade security. You will drive innovation, build high-performing practice team spanning across geos, and ensure successful client outcomes across industries. The Global Practice Lead for AI is expected to bring a strong foundation in deep expertise in delivering enterprise-grade AI solutions across industries especially in terms of the infrastructure needs in AI...