12 Ml Modelling Jobs

Role Overview: As a Data Scientist at one of the leading Manufacturing organizations, you will collaborate with stakeholders to plan, design, develop, test, and maintain the digital data center and analytics initiative. Your key responsibilities will include identifying areas for optimization or predictive analytics in the Business, conceptualizing and creating a charter for deploying machine learning models, documenting technology requirements, building use cases, and enabling their deployment for go-live. You will also be responsible for clearly communicating processes, potential solutions, and use-cases through various means such as documentation, wireframes, interaction flows, prototypes...

About the Role The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production grade models with proven business impact, traceable lineage, and operational excellence at scale. Role & responsibilities Feature Engineering & Model Development - Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. - Build and iterate on ML models (forecasting/classification/regression) ...

Description Brand Protection Business Operations (BPBO) org is seeking highly analytical and detail-oriented candidate to join our team in Hyderabad/Bangalore. As part of the team, you will work with product, program, technology and operations teams to drive complex data and trend analyses to root cause issues and propose ways to improve marketplace platform and tools, thereby contributing to improved Brand, Selling Partner and Buyer experience on Amazon. An ideal candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented a...

Description : PL Eligibility Base preparation (SQL) Portfolio Risk segmentation through Decision Trees and other ML (Python) PL Portfolio quality improvement through specific Credit Actions Process Quality (end-to-end customer journey) documentation, deviations tracking, change implementation PL Portfolio review and MIS Functional Competencies : Strong Analytics background (Tableau dashboards, ML modeling) Very Strong with data tools: XL, SQL, python Good understanding of lending, credit risk Exposure to MIS, performance tracking Willingness to learn

Key Responsibilities: Design and implement AI product features Maintain and optimize existing AI systems Train, evaluate, deploy, and monitor ML models Design ML pipelines for experiment, model, and feature management Implement A/B testing and scalable model inferencing APIs Optimize GPU architectures, parallel training, and fine-tune models for improved performance Deploy LLM solutions tailored to specific use cases Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks

L&T is Hiring!!! Minimum Experience is- 3-4 years, Pune location Position Specific Duties - Python , SQL programming Data Visualization Data ETL Basics of ML modelling Required Skills are- Python, SQL programming Tableau, Power BI - Required Data ETL Basics of ML modelling Data driven insights using advanced analytics tools

extractapplyapply Key Responsibilities: Mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital Mine products and or services. Supports the generation of an automated insights generation framework for business partners to effectively interpret data Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services . Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive adv...

Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Significant experience of model risk management, governance and/or model development / validation. Significant experience of local regulators and regulations. Experience of managing senior stakeholder and external communications. Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict. Providing expert advice, robust challenge and managi...

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Job Summary: Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk, Fair Lending and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio. Job Description: - Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory. - Performing these activities on the MRM framework for corporate BASEL and IFRS9 models. - Lead credit scoring modelling exercise with applicable compliance to regulations. - Validating Fair Lending Models and suggesting recomme...