174 Model Monitoring Jobs

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

As an AI Architect with relevant experience in NLP, CV, and LLMs, your role will involve designing, building, and fine-tuning NLP models and large language model (LLM) agents to address business challenges effectively. You will be pivotal in creating user-centric and efficient model designs that elevate user experiences and streamline business processes. Your position requires strong design capabilities, hands-on coding proficiency, advanced skills in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging abilities. **Responsibilities:** - **Model & Agent Design:** Conceptualize and design robust NLP solutions and LLM agents tailored to meet ...

We are seeking a strategic and technically proficient leader to drive the responsible implementation of SAP Joule, SAP's AI-powered digital assistant, for the London Borough of Southwark. This role oversees the end-to-end deployment of Joule within SAP SaaS environments, ensuring ethical AI adoption, governance alignment, and public sector readiness. 1. Strategic Planning & AI Adoption Lead the phased rollout of SAP Joule, starting with low-risk, high-impact use cases (e.g., HR, finance automation). Develop a roadmap for scaling AI across departments while maintaining responsible use. Align implementation strategy with Southwark's public service goals and citizen impact. 2. Data Readiness & ...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

Role & responsibilities Perform model monitoring activities for credit risk scorecard models (PD/LGD/EAD). Support model governance including documentation, performance tracking, and regulatory compliance. Work on model development or model validation initiatives as part of BAU/regulatory models. Conduct periodic model performance assessments, stability analysis, and back-testing. Preferred candidate profile 56 years of relevant experience in the BFSI sector. Strong hands-on experience with Credit Risk models, specifically scorecard models. Prior exposure to Model Monitoring, Model Governance, Model Development, or Model Validation. Experience working on BAU and/or regulatory models. • SAS &...

As an Assistant Vice President - Senior Quant Developer at HSBC, your role will involve the following responsibilities: - Design and Develop LLMs: Build, train, and fine-tune LLMs and generative AI models for real-world applications, focusing on tasks such as document understanding, information extraction, question answering, and multimodal representation learning. - State-of-the-Art Research: Stay at the forefront of AI advancements, particularly in NLP, multimodal learning, and generative AI. Research and implement novel techniques to improve model performance and scalability. - Model Deployment: Collaborate with engineering teams to deploy models into production environments, ensuring sea...

Some Careers Have More Impact Than Others. If you're looking for a career where you can make a real impression, join HSBC and discover how valued you'll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of VP Information Management Principal Responsibilities Be responsible for identifying, tracking and delivering data quality improvements for the Credit ...

Roles & Responsibilities: Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn. Implement model serving and APIs using Python and FastAPI. Build, manage, and utilize ML pipelines on GCP, including Vertex AI, BigQuery ML, and Feature Store. Monitor ML model performance, detect drift, and implement retraining workflows. Work on AI/ML projects involving GenAI tools and frameworks. Ensure best practices in ML model development, deployment, and monitoring. Maintain documentation and reproducibility of ML experiments and models. Preferred Candidate Profile: Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn). Profi...

As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your role will involve the following key responsibilities: - Developing models for segmentation, object classification, crop monitoring, and disaster management using deep learning techniques. - Proficiency in Python and ML frameworks like TensorFlow and PyTorch is essential. - Conducting research to explore and develop new methods for improving detection and classification performance. - Building and monitoring model performance evaluation frameworks for incremental improvements. - Implementing active learning pipelines to address target and data ...

As a MLOps Engineering Manager, you will play a crucial role in overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. Your responsibilities will include continuously monitoring Databricks clusters for high workloads or excessive usage costs, alerting relevant stakeholders promptly to address issues impacting overall cluster health, and implementing and managing security protocols to safeguard sensitive information in adherence with Mastercard standards. You will also facilitate the integration of various data sources into Databricks, ensuring seamless data flow and consistency, and identifying and resolving issues related to Databricks infrastru...

JD Databricks Platform Engineer Experience Level: Level 3 (5+ years) Job Description: We are seeking a Databricks Platform Engineer to lead the automation of MLOps pipelines and ensure scalable model deployment workflows. This role plays a critical part in bridging data science and operations. Key Responsibilities: Build and automate MLOps pipelines for model deployment and monitoring. Ensure scalability, security, and operational efficiency of ML workflows. Collaborate with cross-functional teams to align infrastructure with data science needs. Required Skills: MLOps, CI/CD (Azure DevOps/GitHub Actions) Kubernetes, Docker, Python Cloud Platforms (Azure/AWS/GCP), Model Monitorin JD Databrick...

Senior Machine Learning Engineer Experience Range: 10 - 16 years Location: Bengaluru Key Responsibilities Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements. Design, develop, and deploy robust, scalable machine learning models for production applications. Research and integrate state-of-the-art GenAI models (e.g. GPT, T5, BERT, diffusion models, GANs) into business use cases. Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems. Fine-tune and customise foundation models for specific domains and tasks. Implement best practices for GenAI safety, alignment, and ethical deployme...

As a successful candidate for the role, you should possess the following attributes: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. - Preferably 7+ years 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 (e.g., transformers, RNNs, CNNs). - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. - Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fin...

As the Manager of Data Science at Lightcast, you will lead and grow a team of data scientists and machine learning engineers to design, build, and productionize analytics and ML solutions that drive business outcomes. You will be a hands-on technical leader who balances people management, project delivery, and strategic direction partnering with product, engineering, and business stakeholders to scale reliable, explainable, and measurable data products. **Major Responsibilities:** - Coach, mentor, develop, and lead a high-performing data science team. - Plan projects, prioritize work, allocate resources, and track milestones to ensure timely delivery of data science projects and deliverables...

You are seeking an experienced Python and AI/ML, GenAI Engineering Manager to lead a talented team of engineers and data scientists at GlobalLogic. As the Manager Engineer, you will be responsible for driving the development and implementation of innovative AI/ML solutions, managing project timelines, and fostering a collaborative team environment. The ideal candidate will have a strong technical background in Python and machine learning, combined with leadership experience. **Key Responsibilities:** - Lead and manage a team of AI/ML engineers, data scientists, and Python developers to develop and deploy Generative AI (GenAI) solutions for business innovation. - Provide hands-on technical le...

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! As an Associate Architect at Quantiphi, you will design comprehensive technical solutions for enterprise AI initiatives, partnering with Fortune 500 clients on Google Cloud Platform. You'll translate complex business requirements into scalable architectures spanning generative AI, tradi...

As an experienced Azure Cloud Platform Engineer, your primary responsibilities will include: - Hands-on experience with Azure cloud platforms - Designing and deploying Azure infrastructure using automation tools like Terraform and ARM templates - Designing and implementing ML platforms and cognitive APIs - Implementing container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, and App service plans - Experience in MLOps, CI/CD, model monitoring, and automation - API integration and containerization using Docker, Kubernetes, and AKS - Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs - Skilled in prompt engineering, model f...

Role Overview: As a Technical Lead Manager for the Contributor Trust Modeling team in Geo at Google, you will play a crucial role in enhancing Google Maps information quality by utilizing machine learning (ML) to identify user intent and differentiate between trustworthy and abusive behavior. Your responsibilities will include mentoring engineers, overseeing the development and deployment of ML systems, and setting the team's technical direction in collaboration with cross-functional teams to improve user experiences for Google Maps users and local merchants. Key Responsibilities: - Collaborate with cross-functional partner teams to evolve the strategy while guiding the team to enhance solut...

Market Risk - Model Validation Skillset required Market Risk Model Validation, Stress testing models. Preferred Domain – Banking GCC, Financial Services We are looking for a quantitative risk professional to validate and review all Market, Treasury, Liquidity, and Pricing models used across the bank. The role involves conducting independent model assessments, including stress testing, derivatives pricing model reviews, and ensuring models meet regulatory and internal risk standards. You will perform periodic revalidation , identify model weaknesses, assess model risk, and recommend controls or improvements. The position requires strong quantitative skills, experience in market or liquidity r...

Job Description: You will be responsible for building and maintaining ML pipelines for training, validation, deployment, and monitoring. Additionally, you will implement CI/CD for ML artifacts, including data versioning and model registries. Monitoring model performance and drift to trigger retraining workflows as needed will also be part of your key responsibilities. Managing infrastructure (cloud, containerized, on-prem) for high-availability AI services and collaborating with data, ML, and ops teams to deliver a frictionless MLOps lifecycle are essential aspects of the role. Key Responsibilities: - Build and maintain ML pipelines for training, validation, deployment, and monitoring - Impl...

Hi, We are hiring MLOps Engineer Please share us the updated profile to mahesh.mattaparthi@cerebra-consulting.com Position: MLOps Engineer Location: Pan India Job Type: C2H Experience: 6+ years Notice Period: 15 Days /Immediate joiners preferred. Job Description: MLOps Model Monitoring Model Drift Detection Technical Environment / Tools GCP (Google Cloud Platform) Vertex AI

Location : PAN INDIA Here are the JD 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 c...

As a Credit Risk Scorecard Developer, your primary role will be to design and build credit risk scorecards to predict creditworthiness and optimize account management strategies. This includes creating application, behavioral, and collections scorecards. Your key responsibilities will include: - Extracting, cleaning, and preprocessing data from various sources using SQL. - Developing and implementing machine learning models for collections performance and delinquency prediction using Python, including libraries like pandas and scikit-learn. - Monitoring model performance, conducting backtesting, recalibration, and validation to ensure compliance with regulatory standards. - Collaborating wit...

Job Title: Databricks AI Engineer Location: Chennai Experience: 7+ years (Minimum 5+ years in relevant skills) Work Mode: Hybrid Job Summary: We are seeking a highly skilled Databricks AI Engineer to design, develop, and optimize advanced AI and ML solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, machine learning, natural language processing, and computer vision, with hands-on experience in building and deploying scalable models using Databricks tools and frameworks. Key Responsibilities : Design and implement scalable AI/ML solutions using Databricks, MLflow, Delta Lake, and Lakehouse AI. Develop and deploy machine learning models (cl...

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...