734 Model Development Jobs - Page 2

We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform ...

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and en...

KEY RESPONSIBILITIES Efficient & Reliable Independent Contributor Independently design and implement complex data science projects, from initial concept through final deployment. Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions. Proactively identify and address potential issues or opportunities for improvement in existing models and processes. Leadership and Mentorship Mentor and provide technical guidance to junior data scientists and team members. Foster a culture of continuous learning and improvement within the team. Advanced Model Development and Generative AI Lead the design, development, and deployment of advanced pred...

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target...

Deputy Manager ML & AI – 5+ Years – PAN India An excellent opportunity for AI/ML professionals with 5+ years of experience in model development, MLOps, and production monitoring. If you have a strong background in machine learning, model fine-tuning, and building scalable AI monitoring pipelines, this role will allow you to drive innovation and efficiency in advanced analytics. Location – PAN India Your Future Employer : A global leader in business process management providing transformative solutions and business growth across multiple domains. Responsibilities: Develop and fine-tune machine learning models to ensure accuracy, efficiency, and business alignment. Rigorously evaluate and test...

-Data Preparation: Assist in the collection, cleaning, and preprocessing of data from various internal and external sources. -Exploratory Data Analysis: Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. -Model Development: Support the development and implementation of machine learning models and algorithms. -Data Visualization: Create and maintain data visualizations and dashboards to communicate findings effectively. -Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions. -Documentation: Document methodologies, processes, and results for knowledge sharing and future reference. -Continu...

Establish and maintain best practices for ML Ops. Including version control, CI/CD pipelines and the Vertex Al Model Registry and End Points. Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring and explain. Deploy and Manage ML models on GCPs Vertex Al platform ensuring efficient and scalable execution. Identify and address performance bottleneck in ML models and pipelines. Troubleshoot and resolve ML issues ensuring optimal model performance and costs. Work Closely with data scientists to prepare and preprocess data for model training and evaluation. Assist in feature engineering and selection to ensure model performance. Develop techniques to vis...

Data Governance: Develop and enforce master data policies, standards, and procedures across various domains (eg, Material, Customer, Vendor). Configuration & Customization: Configure and customize SAP MDG to ensure it aligns with organizational data governance needs. Workflow & Data Model Development: Develop and configure complex workflows, data models, and processes within SAP MDG. Requirements Gathering: Collaborate with business stakeholders to gather and translate business requirements for data governance initiatives. Integration: Integrate SAP MDG with other SAP modules and systems to ensure seamless data flow and consistency. Technical Support & Troubleshooting: Provide technical supp...

ZEISS in India ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports Cine Optics. Further information at ZEISS India . Model Development Optimization Design and implement AI/ML models for online spectacles centration, fitting and online refraction. Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation. Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement. Implement and launch AI based solutions, fulf...

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experien...

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected...

About The Role Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in spec...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Join Team Amex and lets lead the way together. How will you make an impact in this role? Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candid...

SUMMARY Job Title: Data Science Lead CoE Location: Hyderabad, India (Hybrid) Experience: 10+ years Role Type: Full - time Start Date : Immediate About the Role: As we build our Data Science Center of Excellence (CoE), we are looking for an entrepreneurial and technically strong Data Science Lead who can lay the foundation for a high-performing team. You will work directly with stakeholders across multiple business units to define use cases, lead model development, and ensure successful deployment and value realization. Key Responsibilities: Serve as the technical and strategic lead for the Data Science CoE. Partner with business leaders to identify use cases, assess feasibility, and define m...

Role Overview: You will support the GMV senior manager in performing an independent validation of new and existing models used in risk management, capital calculation, stress testing, etc. This includes reviewing the model development process, assessing model performance quantitatively, documenting validation findings, and communicating results to senior management. Key Responsibilities: - Conduct NFR Model Validation under the guidance of the GMV senior manager. - Qualitatively review the model development process, including underlying assumptions and theoretical basis. - Quantitatively assess model performance through data evaluation and statistical testing. - Document validation findings ...

Role Overview: As a Spec Analytics Intmd Analyst at our company, you will be a developing professional dealing with problems independently and solving complex issues with some latitude. You will integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices. Your role will involve understanding how your team and area integrate with others to accomplish sub function/job family objectives. Utilizing analytical thinking and knowledge of data analysis tools and methodologies, you will need attention to detail when making judgments and recommendations based on factual information. Your responsibilities will typically involve dealing with variable issues...

As a Quant Analytics Treasury - Vice President at Barclays, you will be spearheading the evolution of the Risk function by developing best-in-class credit risk models using industry-leading frameworks and methodologies. You will work in a global quant team, collaborate with regulators worldwide, and utilize cutting-edge technology. Your role will also involve effective stakeholder management, leadership, and decision-making to support business strategy and risk management. **Key Responsibilities:** - Develop credit risk models such as Treasury Risk, Liquidity Modelling, Hedge accounting, ICAAP VAR Model, PRA110 liquidity reporting, and Model Implementation. - Utilize hands-on working knowled...

Role & responsibilities Machine Learning Engineer / MLOps Engineer - Remote Focus: Productionize models and build scalable, automated ML pipelines. What You Get to Do Every Day (Responsibilities) • Convert data science prototypes into production-ready, scalable models and services • Develop and maintain automated CI/CD pipelines for model training, testing, deployment, and rollback. • Implement monitoring, logging, and alerting systems to track model performance, drift, and data anomalies in production. • Manage model versioning, reproducibility, and containerization (e.g., Docker, Kubernetes). Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a ...

Model Maker responsibilities Understanding project requirements, preparing the materials, creating detailed models, and ensuring the final product is up to standard. Our ideal candidate is detail-oriented, creative

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning mo...

About The Role Job Responsibilities Responsible for the Unit verification of AUTOSAR based Simulink, TargetLink models developed as per the MAAB guidelines with good software engineering practices. Responsible for Requirement Analysis. Responsible for Test Specifications, Code Coverage, Model Quality and Model Validation (MIL, SIL) to ensure that developed model is bug-free and adheres to defined Test strategy. Key Skills Good experience in automotive Model Based development activities including model-based testing using tools like Synopsys TPT and auto-code generation using Matlab, Simulink, Stateflow and TargetLink . Good understanding of AUTOSAR architecture and the AUTOSAR based model de...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...