1119 Model Development Jobs - Page 12

Key Skills Needed Model Development: Designing, implementing, and fine-tuning generative models . Experience in building LLM models and deployment in production. Natural Language Processing (NLP): Strong understanding of NLP concepts and techniques to manage documents and natural language inputs. Full stack Programming Skills: Proficiency in programming languages commonly used in AI and machine learning, such as Python and libraries like TensorFlow or PyTorch, Machine Learning and AI: Knowledge of machine learning concepts and AI algorithms can be advantageous, especially when dealing with more advanced chatbot capabilities and personalization. Data Preprocessing: Handling and preprocessing ...

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning inferencing. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently deploy, serve, and monitor ML models at scale, supporting both real-time and batch inference use cases. Responsibilities Develop, maintain, and enhance model deployment workflows using Seldon, Docker, and Kubernetes for scalable inferencing. Build and optimize REST and gRPC endpoints for serving ML models, ensuring secure and reliable access from internal tools and pipelines. Integrate with AI Hub for unified model registration, endpoint management, and m...

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 Specialist - Software Development (Artificial Intelligence) at Accelya, your role will involve leading the design, development, and implementation of AI and machine learning solutions to address complex business challenges. You will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. - Implement advanced algorithms for supervised and unsupervis...

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us ...

Qualification: Bachelor's/Master's in computer science,Electronics,or related field 2-5 years of hands on experience in Data Scientist Strong problem solving, communication, and collaboration skills, Preferred Skills: Experience in developing Classical ML & DL models Do Data Analytics Run AI models on Edge devices (Raspberry Pi, QUALCOMM boards)

About The Role Talent & Organization Intelligence & Insights Data Scientist (Analyst) Looking for a rewarding career with global impact? Then consider Accentures rapidly expanding Capability Network with approximately 3,000 Management Consulting and Strategy professionals (we like to call them rock stars!) based in a network of prominent locations around the world. Capability Network Professionals. Thrive in a fast-paced, inclusive environment with countless opportunities to learn and grow Collaborate with diverse organizations on groundbreaking projects Enjoy the camaraderie of working together towards a common goal and forming lasting friendships If this sounds like the right team for you,...

Exp: Credit Risk Model Development Mandate Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Gurgaon & Bangalore | 5 Days WFO Drop cv on supreet.imaginators@gmail.com Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred

About The Role Role Purpose Anaplan, Anaplan Model Builder, Integrations and SQL ? Do 3+ years of Model development and business process architecting using EPM tools Strong expertise and deep understanding of multi-dimensional modeling Basic to intermediate knowledge of SQL Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts etc. Strong understanding of data integration Self-motivated and ability to manage timelines across multiple projects. Strong interest in structured finance preferred. ? Deliver excellent customer service through effective diagnosis and troubleshooting of client queries Provide product support and resolution to clients by performing a ques...

Exp: Credit Risk Model Development Mandate Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Gurgaon & Bangalore | 5 Days WFO(ODC Set-up) Salary: Depends on last drawn NP: 30Days or Immediate Joiners Send CV: latika.chopra05@gmail.com Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred Send CV: latika.chopra05@gmail.com Call: 9810996899

Role & responsibilities This role will involve supporting the Asset Allocation and Investment Solutions team in its drive to generate and deliver asset allocation advice for client portfolios globally. The successful candidate will have strong programming and quantitative analysis skills, ability to work with large datasets and basic investment knowledge. There is also a need to be able to communicate with broad project stakeholders. Data management and process development programming support for the asset allocation and investment solutions team. Develop tools that allow investment advisors to see the impact of asset allocation under different market environments and tax treatments. Run and...

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning inferencing. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently deploy, serve, and monitor ML models at scale, supporting both real-time and batch inference use cases. Responsibilities Develop, maintain, and enhance model deployment workflows using Seldon, Docker, and Kubernetes for scalable inferencing. Build and optimize REST and gRPC endpoints for serving ML models, ensuring secure and reliable access from internal tools and pipelines. Integrate with AI Hub for unified model registration, endpoint management, and m...

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning inferencing. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently deploy, serve, and monitor ML models at scale, supporting both real-time and batch inference use cases. Responsibilities Develop, maintain, and enhance model deployment workflows using Seldon, Docker, and Kubernetes for scalable inferencing. Build and optimize REST and gRPC endpoints for serving ML models, ensuring secure and reliable access from internal tools and pipelines. Integrate with AI Hub for unified model registration, endpoint management, and m...

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning training and experimentation. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently explore, train, and validate ML models at scale. Responsibilities Develop, maintain, and enhance interactive Jupyter-based notebook environments for model development, experimentation, and training. Build and optimize Pipelines (file-based and git-based) for orchestrating training and experiment jobs, ensuring seamless transition from research to production. Integrate and manage Project Namespace storage for organizing research data and e...

Design and build scalable AI-driven solutions to address diverse workplace technology challenges. Create automations using agentic workflows to enable systems that can reason, act, and coordinate across multiple tools and processes. Integrate and adopt to new technologies/platforms to deliver next-generation digital workplace capabilities. Ensure the solutions are secure, reliable, and efficient, supporting the growth and transformation of workplace technology services. Your Key Responsibilities AI/ML Solution Development Develop AI/ML solutions that solve complex business and workplace challenges. Design, train, and validate machine learning models tailored to WPT use cases (e.g., IT servic...

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Machine Learning hands-on experience in model development. Generative AI modules building or integrating chatbots, conversational agents, or similar AI workloads AI-Related Cloud Infrastructure deploying, monitoring, and scaling ML/AI services on AWS/Azure/GCP Microservices Architecture designing or working with distributed, micro-architected applications

As a Quant Analytics - Vice President at Barclays, you will play a crucial role in shaping the future by spearheading the evolution of the Risk function. Your responsibilities will include developing best-in-class credit risk models using industry-leading model development frameworks and methodologies. You will collaborate with a global quant team, engage with regulators worldwide, and leverage cutting-edge technology to support business strategy and risk management effectively. Key Responsibilities: - Develop best in class credit risk models using industry leading model development frameworks & methodologies - Work in a global quant team, collaborating with regulators across the world and u...

As an MLOps Engineer at Fractal Analytics, you will be tasked with collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Utilizing Machine Learning Services like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Working across all phases of the model development lifecycle to construct MLOPS components - Establishing the kno...

Role Overview: You will be joining the Risk platform team at DWS as a Risk Manager/Senior Risk Manager focusing on Model Validation in Bangalore, India. The Model Risk team is responsible for providing governance and control for various models used within the Firm to manage associated risks. Your role will involve validating, testing, and overseeing the usage of models related to Fiduciary Risk, Corporate Risk, and Investment Risk for both Liquid and Illiquid investment strategies. Key Responsibilities: - Conduct model validations on DWS models, including both in-house and vendor models, in alignment with regulatory guidance, internal policies, and industry best practices. Communicate findin...

Role Overview: The Risk platform at DWS is seeking a Risk Manager/Senior Risk Manager for Model Validation in Bangalore, India. As part of the independent risk oversight function, you will be responsible for providing governance and control to manage various models used in the Firm and associated risks. The Model Risk team operates globally with a focus on validating, testing, and overseeing models related to Fiduciary Risk, Corporate Risk, and Investment Risk for Liquid and Illiquid investment strategies. Key Responsibilities: - Conduct model validations on both in-house and vendor models following regulatory guidance, internal policies, and best industry practices. Communicate findings and...

Role Overview: At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. As a Data Analyst at PwC, you will utilize advanced analytics techniques to extract insights from large datasets and support clients in solving complex business problems through data-driven decision-making. Your role will involve skills in data manipulation, visualization, and statistical modeling to optimize client operations and strategic goals. Key Responsibilities: - Develop, validate, audit, and maintain AI/ML/NLP models for Fraud/AML/Credit risk - Support financial institutions in meeting regulatory requirements and risk management initiatives - Utilize m...

As a Senior Data Science / AI Solutioning & Delivery Lead with 12+ years of experience, your role will be crucial in shaping AI solution strategy, architecting scalable models, leading high-performing teams, and ensuring successful delivery of business-impacting outcomes for global clients. **Key Responsibilities:** - Engage with stakeholders to identify AI/ML opportunities and translate business challenges into well-defined problem statements. - Drive solution architecture, including data pipelines, model design, deployment, and MLOps. - Evaluate emerging technologies for enterprise applicability. - Lead delivery of AI/ML projects across domains, ensuring quality, timeliness, and measurable...

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...

Job Role: AVP, Credit Forecasting & Analytics Experience: 6-13 Years Work Mode :WFH Notice Period : Immediate to 60 Job Description: Required Skills/Knowledge: Bachelor's degree with quantitative underpinning (i.e., Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience Or In lieu of a bachelors degree we need 7+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience. 3+ years of experience in performing performance analysis on large and diverse consumer credit portfolios, inc...