1119 Model Development Jobs - Page 10

In this role you will work on SoC/Sub-system level Emulation model development and design bring up on Zebu/Veloce HW platforms. Additionally, you will work closely with design, verification, validation, and SW teams to implement emulation testbench (XTORs, Speed Adaptors) and features required to develop content on emulation models. You would develop tests to qualify models. Key Skills 8-15 years of experience on SoC/Sub-system Emulation of multi-million gate and complex design with multiple clocks and power domains Experience in microcontroller architecture, Cores ARM A/M series, Interconnect (NIC, FlexNoC), Protocols like AHB, AXI, Memory (Flash, SRAM, DDR4/5), and memory controllers Exper...

As an Analyst in the Customers & Products team at bp, you will be responsible for providing analytical and data modelling expertise to support safe, customer-service oriented, and cost-effective fuels logistics solutions for customers of bp Australia sales channels. You will use internal and external data sources to understand logistics performance, demand, costs, and supply chain efficiencies to report on performance and generate insights to optimize performance. Your role will involve owning and delivering core logistics analytical processes, continuously improving quality and efficiency, and supporting the logistics team and sales channels to identify opportunities for business performanc...

As a Transaction Monitoring SAS AML Model Validation Specialist, you play a crucial role in ensuring the accuracy and effectiveness of AML (Anti-Money Laundering) models utilized for transaction monitoring. Your responsibilities include: - Having a deep understanding of SAS AML solutions, statistical modeling, and regulatory requirements. - Demonstrating extensive experience in SAS AML, encompassing model development, implementation, tuning, and validation. - Conducting thorough validation of sanctions screening models, focusing on data integrity, model performance, and output accuracy. - Performing detailed data analysis to evaluate the performance and accuracy of AML models, with a keen ey...

Key Responsibilities Dataset Creation and Management (with Sales & Conversational Focus) : Lead the design, development, and curation of high-quality datasets specifically tailored for building robust AI models. This includes data collection strategies, data cleaning, feature engineering, and ensuring data integrity and suitability for various modeling tasks. Crucially, this will involve creating and annotating conversational datasets for sales interactions, including intent recognition, entity extraction, dialogue states, and effective sales responses. Model Development & Deployment Architect, develop, train, and deploy advanced AI/Machine Learning models for various applications. This will...

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying...

We are seeking a skilled and motivated AI/ML Chatbot Developer with Trainer experience in building conversational agents and delivering effective training. The ideal candidate will design, develop, and optimize chatbot solutions using natural language processing (NLP), machine learning (ML), and large language models (LLMs). Additionally, the candidate will play a key role in educating end-users, internal teams, or clients on chatbot functionality, usage, and best practices. This role focuses on designing intelligent conversational agents and includes responsibilities for training users or internal teams on the use of chatbot technologies. Key Responsibilities : 1. AI Model Development for C...

What you will do In this vital role you will drive innovation in a highly integrated Clinical Demand Planning landscape. You will be an integral member of a truly dynamic and exciting Product Team that will implement and own groundbreaking solutions supporting Clinical Supply Chain. Are you a skilled technologist or, have a background in Supply Chain with a curiosity for Tech Then this is the right job for you! Come join our team and be a part of something new that we can be proud of! Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives. Lead model building activities consistent with industry standards, in...

What you will do In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a crucial team member tha...

Key Responsibilities - Model Development & Analytics Build predictive and machine learning models for risk assessment, cross-sell/upsell, customer retention, and claims forecasting. Design and implement fraud detection algorithms and anomaly detection frameworks. Support pricing and reserving teams with statistical models and simulations. Data Management & Exploration Clean, process, and analyse structured/unstructured insurance data (policy, claims, customer, telematics, digital). Perform exploratory data analysis (EDA) to identify patterns, trends, and actionable insights. Business Problem Solving Partner with Underwriting, Claims, and Distribution teams to translate business challenges in...

Role Overview: As an AI/ML Software Engineer at Router Architects, you will be responsible for developing and implementing machine learning algorithms and models. Your role will involve writing high-quality software code and collaborating with cross-functional teams. Your tasks will include training and tuning machine learning models, performing data analysis, and contributing to back-end web development efforts to integrate AI/ML capabilities into products. Key Responsibilities: - Develop and implement machine learning algorithms and models - Write high-quality software code - Collaborate with cross-functional teams - Train and tune machine learning models - Perform data analysis - Contribu...

Join us as a Model Factory IVU Senior at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Responsibilities This is a Model Factory IVU Senior role in Model Risk Management (MRM). MRM reports directly to the Group Chief Risk Officer and responsible for the identification, assessment, monitoring and management of model risk within Barclays. Model risk is the potential for adverse consequences from decisions based on incorrect or misused model outputs. The MRM function's mandate is to independently and actively mana...

Technology Strategy: Define and lead the companys technical vision and strategy aligned with business objectives Software Architecture: Oversee the design and evolution of scalable, secure, and high-performance systems and platforms AI/ML Innovation: Lead the development and integration of AI/ML solutions, ensuring responsible and ethical deployment Team Leadership: Build, mentor, and manage high-performing engineering and data science teams Cross-functional Collaboration: Partner with product, operations, and executive teams to align on technology initiatives Tech Stack Ownership: Evaluate and select the most appropriate tools, frameworks, and technologies for the organization Governance & ...

You ll work hands-on with large datasets, cutting-edge frameworks, and MLOps practices to deliver production-grade AI systems - Model Development & Training Design, train, and fine-tune deep learning and machine learning models(transformers, CNNs, RNNs, gradient boosting, etc) Implement data preprocessing pipelines, feature extraction, andaugmentation techniques Conduct hyperparameter optimization and experiment management - Evaluation & Optimization Run model evaluations, benchmark against baselines, and perform ablationstudies Optimize models for accuracy, latency, and resource efficiency (eg, pruning,quantization) Apply error analysis to improve robustness and generalization - Deployment ...

About The Role : Job Summary Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation. The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including GCP Vertex AI and IBM Watsonx ) to design descriptive, predictive, and prescriptive solut...

6 to 8 years of hands-on experience working on ML engineering Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment, and performance evaluation Expertise in Python with the ability to write performant production-quality code Familiarity with SQL, knowledge of spark and cloud data environments (Azure cloud services) Experience of using Azure DevOps, ADF, MLFlow, Feature Stores etc. Knowledge of building and deploying CI/CD pipelines Validated understanding of machine learning algorithms and techniques Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like ...

Job Summary Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product...

Join us as a Principal Engineer This is an exciting and challenging opportunity to work in a collaborative, agile and forward thinking team environment With your software development background, youll be delivering software components to enable the delivery of platforms, applications and services for the bank As well as developing your technical talents, you'll have the opportunity to build project and leadership skills which will open up a range of exciting career options We're offering this role at vice president level What you'll do As a Principal Engineer, youll be driving development software and tools to accomplish project and departmental objectives by converting functional and non-fu...

We are seeking a highly motivated risk consultant to join our team in Mumbai. Successful candidate will have a strong background in credit risk and banking. Key Responsibilities: Work on credit risk consulting offerings, including expert judgement model development, implementation and validation, ECL, credit policy and process, and risk appetite statements. Collaborate with clients to develop and implement credit risk policies and procedures. Requirements: CA, CFA, FRM, MBA from a Tier II or III college 1-2 years of relevant work experience in the corporate credit risk domain (Exposure to mid or large corporates). Thorough understanding of financial statements and ratios Understanding of ban...

Role Overview: As a Level 7 Ind & Func AI Decision Science Manager in the Accenture Strategy & Consulting Global Network team, specifically in the CFO & EV - Treasury & EPM Analytics practice, you will have the opportunity to lead client engagements, provide advisory services, and drive innovation in the areas of EPM, Treasury & Tax for top financial clients globally. You will work closely with CXOs to achieve diverse business and operational outcomes, develop Proof of Concepts for key clients, and mentor and guide analysts and consultants within the practice. Your role will also involve supporting sales team efforts by assisting with RFPs, RFI, and designing GTM collateral. Key Responsibili...

As a Quant Analytics Market Risk / Treasury - Vice President at Barclays, you will be driving the evolution of the Risk function by developing best-in-class credit risk models using industry-leading model development frameworks & methodologies. Your role will involve working in a global quant team, collaborating with regulators worldwide, and leveraging cutting-edge technology. Effective stakeholder management, leadership, and decision-making skills are essential to support business strategy and risk management. Key Responsibilities: - Develop best in class credit risk models using industry leading model development frameworks & methodologies - Work in a global quant team and collaborate wit...

As a Data Science Solution Architect at Tredence, you will lead the design and development of data science solutions that leverage advanced analytics, machine learning, and artificial intelligence to address complex business challenges. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions. Key Responsibilities: - Architect end-to-end data science solutions, including data ingestion, processing, modeling, and deployment, to address specific business problems. - Provide technical leadership and guidance to data scientists and engineers, ensuring alignment with best practices and industry standards. -...

Job Summary As a Sr. Developer specializing in ML Ops and AWS Machine Learning you will play a crucial role in designing developing and deploying machine learning models and solutions. You will collaborate with cross-functional teams to enhance AI capabilities and drive innovation. Your expertise in Docker Kubernetes and Terraform will be essential in optimizing our AI infrastructure. This hybrid role offers the opportunity to work on cutting-edge projects in a dynamic environment. Responsibilities Develop and deploy machine learning models using AWS Machine Learning and Amazon Sagemaker to enhance AI capabilities. Collaborate with cross-functional teams to design innovative AI solutions tha...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai 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 innovative data a...

Salary : 30 to 45 LPA Exp: 7 to 12 years Location :Mumbai Only Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ 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 innovative data and machin...

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...