175 Model Monitoring Jobs - Page 2

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this o...

As a Lead MLOps Engineer, you will: - Oversee the administration of Databricks clusters and workspaces. - Bring MLOps expertise to the table, namely within the scope of, but not limited to: - Model monitoring - Feature catalog - Experiment Tracking - CI/CD pipelines to gatekeep model lifecycle from development to production - Own and maintain MLOps solutions either by leveraging open-sourced solutions or with a 3rd party vendor - Build and maintain various executive dashboards that reflect metrics, model build, deploy, and run phases - Be a technical lead to a team of MLOps engineers All About You: - Bachelor's degree in computer science, software engineering, or a similar field. - Strong ex...

At OCI, you'll work on solving some of the hardest problems in cloud computing - building intelligent, self-healing systems that redefine how enterprises run their workloads. You'll lead a passionate team that combines the best of AI innovation and cloud engineering, with the freedom to experiment and the scale to make global impact. Join Oracle Cloud Infrastructure (OCI) and lead the team for building services that offer - an AI-powered, agent-driven DevOps enabler that brings advanced reasoning and automation to cloud operations. As a Senior Engineering Manager (M3) , you'll lead a talented team of Machine Learning Engineers and Software Engineers developing the intelligent systems that po...

As an Analyst/Associate in the Credit Risk Data Control (Model Monitoring) team at Morgan Stanley, your role will involve: - Leading data quality enhancements for model inputs used in counterparty credit exposure calculations, including CE, PFE, and EAD metrics. - Maintaining and monitoring the MPoR (Margin Period of Risk) framework to ensure alignment with regulatory standards and exposure methodologies. - Implementing new controls on simulation model parameters such as volatilities, correlations, and risk factors to support Monte Carlo and scenario-based exposure modeling. - Evaluating proposals aimed at optimizing regulatory capital requirements. - Providing ad hoc portfolio analysis and ...

Key Responsibilities: Design and develop GenAI applications leveraging LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) and frameworks. Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma). Implement prompt engineering, fine-tuning, and model evaluation to improve accuracy and business relevance. Develop and deploy AI agents, copilots, and workflow automation using multi-agent frameworks like LangGraph or Agno Work with cloud platforms (AWS, Azure, GCP) to scale GenAI applications securely. Integrate AI models into enterprise systems via APIs, microservices, or SDKs. Research emerging AI models and frameworks to continuously improve solution quali...

Join us as a Risk Modelling Manager This is a key role where we'll look to you to lead the development and maintenance of quantitative models used in the bank's risk frameworks You'll have the chance to supervise the day-to-day operation of analysts in your team, giving depth and variety to your development You'll be joining a team with a collaborative culture in a fast paced and high profile role We're offering this role at associate vice president level What you'll do As a Risk Modelling Manager, you'll be integral in the design, development and maintenance of effective and compliant statistical risk and decision support models and related analytics. You'll be leading a team of highly tech...

CRM seeks an associate/analyst to join its Credit Risk Department responsible for key regulatory projects, process enhancements, internal exposure model frameworks and change management. The associate will collaborate closely with colleagues in London to execute on the teams objectives. Primary Responsibilities Lead data quality enhancements for model inputs used in counterparty credit exposure calculations, including CE, PFE, and EAD metrics. Maintain and monitor the MPoR (Margin Period of Risk) framework, ensuring alignment with regulatory standards and exposure methodologies. Implement new controls on simulation model parameters such as volatilities, correlations, and risk factors, suppor...

Role & responsibilities MLOps Model Monitoring Model Drift Detection Technical Environment / Tools GCP (Google Cloud Platform) Vertex AI Capability Area Core Skills / Tools Expected Proficiency 1. Data Drift & Model Drift Monitoring - Statistical drift detection - Detect drift in incoming image data ; quantify shifts in model confidence and accuracy - Propose retraining actions Advanced 2. Model Performance Tracking - Performance metric computation (Confidence, Accuracy, precision, recall, F1) - Continuous model evaluation methods - Track model performance trends, degradation, and instability; - Set up automated ML metrics dashboards on looker studio or any other tool to get a complete view ...

Job Title: Databricks Engineer MLOps (A3 Level) Experience: 3 to 5 Years Location: Bangalore / Hyderabad / Pune / Mumbai / NCR. Joining: Immediate Joiners Preferred Job Description We are looking for a highly skilled Databricks Engineer with strong MLOps experience to join our team. The ideal candidate should have hands-on expertise in building, deploying, and maintaining machine learning pipelines on Databricks, along with solid knowledge of MLOps tools and best practices. Key Responsibilities Develop, optimize, and maintain Databricks-based data and ML pipelines Implement MLOps workflows including model versioning, CI/CD, deployment, and monitoring Work with MLflow for experiment tracking ...

Job Title: Databricks Engineer MLOps (A3 Level) Experience: 3 to 5 Years Location: Bangalore / Hyderabad / Pune / Mumbai / NCR. Joining: Immediate Joiners Preferred Job Description We are looking for a highly skilled Databricks Engineer with strong MLOps experience to join our team. The ideal candidate should have hands-on expertise in building, deploying, and maintaining machine learning pipelines on Databricks, along with solid knowledge of MLOps tools and best practices. Key Responsibilities Develop, optimize, and maintain Databricks-based data and ML pipelines Implement MLOps workflows including model versioning, CI/CD, deployment, and monitoring Work with MLflow for experiment tracking ...

**Job Description:** **Role Overview:** As a Senior Manager Data Science & AI at Adidas, you will be an integral part of the Emerging Markets Data & Analytics (DNA) team. You will lead the Data Science & AI pillar, focusing on driving innovation, experimentation, and ideation to deliver advanced analytics solutions across EM functions and clusters. Your role will be crucial in enabling data-driven decision-making, unlocking new opportunities, and fostering business growth through advanced analytics capabilities like machine learning, generative AI, and agentic systems. You will be responsible for owning the end-to-end lifecycle of advanced analytics solutions, from scoping and development to...

As a highly skilled and innovative Technical Lead (AI/ML/GenAI) with expertise in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks, your role will involve leading the design, development, and deployment of advanced machine learning models and algorithms for various applications. You will be responsible for building and optimizing chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar. Additionally, you will implement vector search technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval-Augmented Generation). Collaborating with data engineers and product teams to integra...

Role Overview: You will be responsible for developing, training, and deploying machine learning, deep learning AI models for various business use cases such as classification, prediction, recommendation, NLP, and Image Processing. Additionally, you will design and implement end-to-end ML workflows, collect and preprocess structured and unstructured data, perform exploratory data analysis, apply advanced machine learning algorithms, and integrate models into business applications. Key Responsibilities: - Develop, train, and deploy machine learning, deep learning AI models for business use cases. - Design and implement end-to-end ML workflows from data ingestion to model deployment and monitor...

Location: Bangalore,HSR CTC Range: 45 to 55 LPA or depends on last drawn, whichever is lower as per market standards About Us We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization. Role & Responsibilities As the Director of Analytics, you will: Lead the next generation of our Data Mart: Redesign and optimize data models to support large-...

Job Description First Line of Defense, including Model Development, Model Monitoring, Recalibration, Model Tuning. Develop Regulatory Capital Models compliant with Basel III/IV standards and IRB approaches. Estimate PD, LGD, EAD, and Prepayment for retail (Credit Cards, Residential Mortgage, HELOC, etc.) and wholesale (Commercial and Industrial, Commercial Real Estate, etc.) portfolios. Develop and calibrate models for predicting Expected Credit Losses under US GAAP's CECL and IFRS 9 standards. Integrate forward-looking perspectives, scenario weightings, lifetime loss parameters, and macroeconomic linkages. Develop and maintain Underwriting and Origination Models including classification mod...

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML mode...

Build and deploy ML/LLM systems on Azure, design RAG and multi-agent workflows, integrate models with Azure data pipelines, optimize model performance, implement MLOps, and ensure Azure-based governance and compliance. Required Candidate profile Azure-focused ML engineer with strong LLM, RAG, Databricks, and DevOps skills. Able to design scalable ML systems, integrate Azure data services, and deliver enterprise AI solutions end-to-end.

As an Assistant Vice President Model Risk Audit at Barclays, you will lead the evolution of the digital landscape, driving innovation and excellence. You will utilize cutting-edge technology to transform digital offerings, ensuring unparalleled customer experiences. Key Responsibilities: - Spearhead the development of audits aligned with the bank's standards and objectives by collaborating with colleagues, providing accurate information and recommendations, and adhering to policies and procedures. - Support audit development and delivery, including financial statements, accounting practices, operational processes, IT systems, and risk management. - Identify operational risks to contribute to...

Job Title: AIML Engineer ML Engineering, MLOps & GenAI Company: Amzur Technologies Location: Hyderabad / Bangalore / Visakhapatnam / Remote (India) Experience: 5 – 10 Years ( 2 years in production-grade ML/AI systems) Notice Period: Immediate to 30 Days (Preferred) Employment Type: Full-Time About the Role We are looking for a hands-on AIML Engineer to join our GenAI & Advanced Analytics team. You will design, build, and deploy AI/ML systems from start to finish. You should have strong ML skills, software engineering experience, and a passion for building real-world AI solutions. What You Will Do ML Engineering Build, train, test, validate, and deploy ML models using Python, scikit-learn, XG...

As a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience, you will play a crucial role in developing and deploying machine learning models for various business use cases. Your proactive and collaborative mindset will be essential as you work closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. Your responsibilities will include: - Developing, training, and deploying machine learning, deep learning AI models for tasks such as classification, prediction, recommendation, NLP, and Image Processing. - Designing and implementing end-to-end ML workflows, from data ingestion and preprocessing to model d...

You will be part of a Mega Walk-In Drive for Data Science, GenAI, and MLOps roles in Kolkata. The event is scheduled for Saturday, 15th November starting at 9:30 AM. You can contact Purbita Mondal at purbita.mondal@ltilmindtree.com for further details. **Role Overview:** - Data Scientists with Gen AI: - Mandatory Skills: - Data Science, GenAI, Python, RAG - Cloud: Azure / AWS / GCP - AI/ML, NLP - Preferred Skills: - LangChain, ChatGPT, Prompt Engineering - Vector Stores, LLaMA, PaLM, BERT, GPT, BLOOM - Deep Learning, OCR, Transformers - Regression, Forecasting, Classification - MLOps, Model Training, Deployment, Inference - Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes - Ideal Candida...

Role Overview: As a Senior Data Scientist, you will lead the design, development, and deployment of advanced analytics and machine learning solutions that drive strategic value for the organization and clients. You will play a pivotal role in transforming complex data into actionable insights, guiding data-driven decision-making, and shaping the data science strategy. This position requires a blend of technical expertise, business acumen, and leadership skills to manage end-to-end data science projects and mentor junior team members. Key Responsibilities: - Lead the design, development, and deployment of advanced analytics and machine learning solutions. - Transform complex data into actiona...

Design, build, and deploy ML models and pipelines, implement feature engineering, optimize algorithms, integrate with data platforms, and ensure scalable production-grade model deployment and monitoring. Required Candidate profile ML Engineer with 4–7 yrs exp in model design, Python, Spark, and SQL. Hands-on in MLOps, data modeling, bias testing, and deploying ML models in cloud environments like GCP or AWS.

As a MANAGER, UWS OPS ANALYTICS at HSBC, you will play a crucial role in converting business problems into analytical problems and providing solutions to drive higher business value. Your responsibilities will include: - Guiding a small team to solve analytical problems for multiple businesses and regions - Identifying new business problems or opportunities and resolving complex analytical issues - Managing end-to-end project delivery and providing hands-on support when needed - Offering high-quality analysis and strategic recommendations to address business problems - Collaborating with various business areas to deliver tailored solutions for improved bottom-line results - Leading analytica...

Role Overview: As a Machine Learning Engineer in this role, you will be responsible for developing, training, and deploying machine learning and deep learning AI models for various business use cases. You will design and implement end-to-end ML workflows, collect and preprocess data, perform exploratory data analysis, apply advanced machine learning algorithms, and optimize model architectures using frameworks such as Azure ML Studio, TensorFlow, and PyTorch. Additionally, you will integrate models into business applications, build scalable ML components and pipelines, enforce AI guardrails, deploy models in production, monitor model performance, collaborate with cross-functional teams, and ...