1119 Model Development Jobs - Page 8

Description: Lead Data Science Projects:Manage end-to-end data science initiatives from data acquisition to model deployment. Develop Data Pipeline:Create and implement Data Extraction and Pre-Processing pipelines from highly unstructured data sources. Develop Models:Create and implement machine learning/deep learning models for industry-specific applications. Data Analysis:Conduct exploratory data analysis to identify trends and optimize processes. Collaborate:Work with cross-functional teams to integrate data-driven solutions. Stakeholder Interaction:Be in sync with the Stakeholders and SMEs to get dynamic feature requirements. Also, good to have stakeholder management skills. Continuous L...

Role Overview: As a Manager at PwC, you will be responsible for leading and managing AI and data science projects from design to deployment. Your main focus will be on ensuring high-quality and scalable delivery, translating complex business problems into AI-driven solutions, and architecting AI pipelines and data workflows. You will guide project teams on data engineering, model development, validation, and operationalization. Additionally, you will communicate technical solutions effectively to business stakeholders, foster strong client relationships, and align AI solutions with business goals. Mentoring junior team members and promoting a culture of innovation, learning, and collaboratio...

To function as one of the resources within the refinery and petrochemical development team Job purpose is to ensure that the lead LP modelling role effectively contributes to the organizations strategic goals by providing robust and efficient optimization solutions. Economic aspects of refining and petrochemical business and overview of the entire value chain Refinery and Petrochemical LP modelling to support asset development plans Troubleshooting and guiding the LP engineer Team development for LP PIMS Report Analysis Configuration Evaluation BE Chemical Technological Configuration Building / Upgrading Serve as the subject matter expert in linear programming and optimization techniques, as...

The AI Developer is responsible for designing, developing, and implementing artificial intelligence models and algorithms. This includes working with machine learning, deep learning, and data analytics to create intelligent systems and applications. The role requires collaboration with data scientists and engineers to integrate AI technologies into real-world applications. What the role entails Key accountabilities/ responsibilities Design and develop AI and machine learning models for various applications.Implement and optimize algorithms for improved performance. Work with large datasets to train and test AI models.Collaborate with cross-functional teams to integrate AI solutions into prod...

Generative AI - Experience in developing Generative AI based applications. Knowledge of various GenAI techniques and frameworks. Python Machine Learning model development and deployment. Azure AI services Optional skills but good to have: SQL, API development Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade : C Global Role Family : 60236 (P) Software Engineering Local Role Name : 6504 Developer / Software Engineer Local Skills : 57684 Azure AI Languages Required: : English.

Description oGenerative AI ?Experience in developing Generative AI based applications. ?Knowledge of various GenAI techniques and frameworks. oPython oMachine Learning model development and deployment. oAzure AI services oOptional skills but good to have ?SQL ?API development Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade C Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 57684 Azure AI Languages RequiredEnglish Role Rarity To Be Defined

As a Model Planning professional, your role involves preparing product concepts aligned with MSIL Plan and Competition Approach. You will be responsible for analyzing competition strategies in specific segments, monitoring the regulatory roadmap in India, and tracking short- and long-term model strategies of other OEMs to prepare benchmarking reports. Additionally, you will conduct consumer trend analysis using secondary data. Key Responsibilities: - Prepare product concepts in line with MSIL Plan & Competition Approach - Analyze competition strategy in specific segments and plan content changes for MC/FMC - Monitor Regulatory roadmap of India and plan countermeasures in model - Track other ...

KEY RESPONSIBILITIES Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making Develop and nurture relationships with business partners and stakeholders across the organi...

As an Actuarial Analyst , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability...

Office/Regions available: Bengaluru, Gurugram As an Actuarial Consultant , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workfl...

JOB Objective: We are seeking a highly skilled and versatile Senior Machine Learning Engineer who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems. You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deploymen...

About The Role 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 What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team p...

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 10 to 14 years Language - Ability: English(Domestic) - Advanced What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team...

Hello eager tech expert! To create a better future, you need to think outside the box. That’s why we at Siemens need innovators who aren’t afraid to push boundaries to join our diverse team of tech gurus. Got what it takes? Then help us create lasting, positive impact! At Digital Industries IT, we deliver powerful IT solutions for the organization, driving digitalization forward. With our work, we provide the technical foundation for innovations. In doing so, we impress with reliability and a high quality of results that enable Digital Industries to realize its full potential. As an IT Partner Professional, you will be responsible for designing, developing, and maintaining complex Anaplan mo...

About The Role Job Title- GenAI Health AI Use Case Implementation H&PS S&C Global Network Management Level :Analyst / Consultant (Level 11/9) Location :Bangalore / Chennai Must Have Skills :Hands-on experience with AI/ML frameworks and tools such as TensorFlow, Prompt engineering, PyTorch, Scikit-learn, MLflow, Hugging Face, Azure ML, AWS SageMaker, AI/ML Model Development, GenAI Applications, GCP Vertex AI etc. Good-to-Have Skills: Familiarity with healthcare data standards (HL7, FHIR, ICD-10, SNOMED, CPT, etc.) and health frameworks Experience :Minimum 1-7 years of relevant experience in the health consulting domain Educational Qualification :B. Tech/B.E. (Tier 1 preferred) + MBA (Tier 1/2...

About The Role Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Pro...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets ...

Design and develop AI and machine learning models for various applications.Implement and optimize algorithms for improved performance. Work with large datasets to train and test AI models.Collaborate with cross-functional teams to integrate AI solutions into products. Perform data analysis and pre-process data for model development. Stay updated with the latest trends and research in AI and machine learning. What we are looking for in you Candidate should have a good working knowledge on the Python AI Models. Candidate should understand the business requirement and able to drive project individually.

About The Role 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 What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team p...

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 10 to 14 years Language - Ability: English(Domestic) - Advanced What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team...

Job Description Summary Responsible for financial planning, analysis, and reporting for Corporate, a specific business unit, or a Profit & Loss (P&L) division within a business. The role influences the quality of both personal and team outputs, emphasizing the execution of standard activities and providing advice in accordance with established policies and procedures. Some flexibility is available to adjust task sequences in response to evolving circumstances. Job Description Roles and Responsibilities Product/Customer Profitability: Develop and implement frameworks to assess product and customer profitability. Analyze profitability metrics to identify areas for improvement and provide actio...

Job Description Summary Responsible for financial planning, analysis, and reporting for Corporate, a specific business unit, or a Profit & Loss (P&L) division within a business. The role influences the quality of both personal and team outputs, emphasizing the execution of standard activities and providing advice in accordance with established policies and procedures. Some flexibility is available to adjust task sequences in response to evolving circumstances. Job Description Roles and Responsibilities P&L Ownership: Manage and analyze the P&L statement(order / revenue /cost / Margins ) , ensuring accuracy and providing insights to drive profitability and cost efficiency . Cost Control: Impl...

AI Engineer Job Description Location: Bengaluru, KA, 560076 Skills Required: Senior AI Engineer / Lead Data Scientist (8 12 Years Experience) Role Overview: We are seeking a Senior AI Engineer / Lead Data Scientist with 8 12

Who We Are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques, The Advertising Optimizatio...

As an expert in data analytics, with a keen eye for detail and organizational skills, your role at UBS will involve: - Reviewing and challenging models used in operational risk management - Assessing the conceptual soundness and appropriateness of different models and conducting related outcome, impact, and benchmark analyses - Running analyses on implementations to assess correctness and stability - Carrying out and documenting independent model validation in alignment with regulatory requirements and internal standards - Interacting and discussing with model users, developers, senior owners, and governance bodies - Supporting regulatory exercises You will be a part of the Model Risk Manage...