239 Model Development Jobs - Page 7

Hiring For Machine Learning (AI) Bangalore Hands on experience of ML/NLP/Deep Learning and Gen AI concepts, Good knowledge of Python programming and AI/Model development, Good understanding of Cloud (AWS/Azure), Should have worked on classification problem solving in Data science, knowledge of GenAI concepts, theories, and models Must Have : ML, NLP, DL, Gen AI, AWS/Azure

Job Description: PwC India is seeking highly skilled Market Risk to join our team. Designation: Senior Associate / Manager Location - Bangalore / Mumbai Responsibilities: Market Risk Model Development or Validation experience covering Value at Risk (VaR), Stress VaR (historical full revaluation, Taylor var approximation (delta gamma method), Monte Carlo) for linear instruments and derivative products, VaR mapping, back-testing VaR, Expected Shortfall, Market risk Stress testing Loss estimation, RWA calculation, Sensitivity & Scenario analysis and other coherent risk measures, modeling dependence: correlations and copulas, term structure models of interest rates, and volatility modeling Deep understanding of the Fundamental Review of the Trading Book (FRTB) regulations, specifically expertise in the Internal Models Approach (IMA) and the Standardized Approach (SA). IMA & CVA Experience is preferred Demonstrated experience in development/validation of quantitative models within the banking sector, aligning with FRTB standards, particularly in market risk modeling. Familiarity with risk factor modellability concepts, and adeptness in calculating capital requirements under FRTB guidelines. Perform the back test of the distribution of simulated risk factors Conduct quantitative analysis of market data, including historical market data and current market trends, to identify potential risks and recommend appropriate risk mitigation strategies Stay up to date with industry trends, regulations, and best practices related to market risk management Requirements: Must hold a Masters or Ph.D. degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field, ensuring a strong foundation in complex financial modeling. 3+ years of experience in market risk model development/validation Proficiency in programming languages such as Python, R and strong analytical skills for effective data interpretation and model analysis. Excellent verbal and written communication skills for effective articulation of complex quantitative concepts, and a collaborative approach for working in team environments with other analysts, risk managers, and IT professionals. Candidates with exposure to FRTB- Standardized Approach implementation or FRTB IMA - Model development experience will be preferred FRM/CQF/CFA certification would be a plus

JOB ROLE Role: Project Manager / Group Manager VIII JOB RESPONSIBILITY - Multiple product development execution - Decide direction for model development, guiding team for work execution - Understanding Customer requirement and providing supporting evidence to management for project approvals. - Reporting to Management over product development status - Team building COMPETENCY REQUIRMENTS TECHNICAL /FUNCTIONAL - Should be well versed with latest happenings & emerging technologies in automobile industry & should be able to gauge their impact on MSIL models. - Hands-on work experience from Engg/Testing/Planning (atleast one area) - Should have working technical knowledge of systems/ sub-systems of vehicle. - Basic knowledge of IBOM, ECN/Drawing, Part development process, Manufacturing plants. - Good understanding of MSIL model development process BEHAVIORAL - Fast, Flexible, First mover, Team Player, Creative, Positive Attitude with willingness to adapt X SPECIFIC EXPERTISE FOR FUNCTIONAL AREA - Should have good interpersonal skills - Car driving license (Essential). Rohtak test track license (Desirable.) - Good command on MS PowerPoint/Excel

EDUCATION B. Tech. / B.E. Experience of Project planning/ project management & coordination/execution Understanding of model development process JOB ROLE Role: Project Manager / Group Manager JOB RESPONSIBILITY - Multiple product development execution - Decide direction for model development, guiding team for work execution - Understanding Customer requirement and providing supporting evidence to management for project approvals.- Reporting to Management over product development status- Team building COMPETENCY REQUIRMENTS TECHNICAL /FUNCTIONAL - Should be well versed with latest happenings & emerging technologies in automobile industry & should be able to gauge their impact on MSIL models.- Hands-on work experience from Engg/Testing/Planning (atleast one area)- Should have working technical knowledge of systems/ sub-systems of vehicle.- Basic knowledge of IBOM, ECN/Drawing, Part development process, Manufacturing plants.- Good understanding of MSIL model development process. BEHAVIORAL - Fast, Flexible, First mover, Team Player, Creative, Positive Attitude with willingness to adapt SPECIFIC EXPERTISE FOR FUNCTIONAL AREA - Should have good interpersonal skills - Car driving license (Essential). Rohtak test track license (Desirable.)- Good command on MS PowerPoint/Excel

Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience.

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Monitor credit risk IRB and IFRS9 models for the measurement of PD, EAD and LGD for the bank s retail portfolios Work on the end-to-end model monitoring (PD, EAD, LGD) cycle, from data gathering and cleansing to the documentation and presentations to key stakeholders Elevate the current monitoring outputs to best-in-class by adding analytical insights Ensure that all monitoring results and analysis comply with the Group monitoring standards Risk Management Understand Model related uncertainty risk such as data, regulatory, business strategy, that have a direct impact on the model s performance Governance Ensure the monitoring process and models meet the Bank s Model Risk Policy and Model Family Standards Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e. g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Group Model Validation, Model Sponsors and Owners, Model Risk Management, Internal and External Audit and Regulator Other Responsibilities Embed Here for good and Group s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role] Skills and Experience Qualifications Has a degree (preferably postgraduate) in a quantitative discipline (e. g. Mathematics, Economics, Statistics, Computer science, Financial Engineering, Engineering) with a clear ability for analysing data and developing / validating / monitoring predictive models 3-4 years of experience in a Retail model development / validation / monitoring role Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. 30449

Position Details: Junior AI Engineer (Data Engineer) Location: -, Tamil nadu Openings: 1 Salary Range: Description: Job Title: Junior AI Engineer / Data Engineer Location: Chennai Reports To: Senior AI Engineer / Data Architect Job Summary: This role is ideal for an early-career engineer eager to develop robust data pipelines and support AI/ML model development. The Junior AI Engineer will primarily focus on data preparation, transformation, and infrastructure to support scalable AI systems. Key Responsibilities: Build and maintain ETL pipelines for AI applications. Assist in data wrangling, cleaning, and feature engineering. Support data scientists and AI engineers with curated, high-quality datasets. Contribute to data governance and documentation. Collaborate on proof-of-concepts and prototypes of AI solutions. Required Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2+ years of experience in data engineering. Proficient in Python, SQL; exposure to Azure platform is a plus. Basic understanding of AL/ML concepts.

Business Model Developer/ Strategist/ Analyst @ Amritapuri Business Model Developer/ Strategist/ Analyst @ Amritapuri - Amrita Vishwa Vidyapeetham Business Model Developer/ Strategist/ Analyst @ Amritapuri Business Model Developer/ Strategist/ Analyst @ Amritapuri Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Business Model Developer /Strategist /Analyst Business Model Developer/Strategist/Analyst Job Description Develop Sustainable Social Business Strategies and models to provide livelihoods for village communities. Implement and monitor solutions that support Entrepreneurship, Village-Specific Products, and Cultural Tourism. Collaborate with stakeholders to design innovative frameworks for rural economic development. Candidates with a Ph.D. or intending to pursue a Ph.D. with a focus on Social Entrepreneurship are highly encouraged to apply. Minimum 2 years in business model development or rural livelihood projects. Master s/Ph.D. in Business Administration, Social Entrepreneurship, Rural Development, Humanities/ Social Sciences or related fields. Strong understanding of Business Modeling, Sustainability Practices and Product Development. Experience Required Last date to apply July 31, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

JD for CDP Specialist As a CDP Specialist, you willbe responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise, and hands-on development skills to implement and maintain the CDP infrastructure. Responsibilities: Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up-to-date. Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards. Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions. Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels. Use and implement ML models on CDP platform to derive actionable insights from customer data stored in the CDP. Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models. Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels. Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers. Qualifications: Education: Bachelor s degree in Marketing, Data Science, Computer Science, Business Analytics, or a related field. A Masters degree is a plus. Experience: 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies. Technical Skills: Proficiency in CDP platforms such as Adobe Experience Platform, or similar. Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered. Experience in tools like Python, R, or similar for AI model development.

Role: Plan and manage engine development projects, including scheduling, budgeting, and resource estimation. Monitor progress, report status and coordinate with testing, design, calibration, production and quality teams. Implement process improvements and manage documentation. Address development issues, track failures and implement process improvements. Responsibilities: Prepare resources (manhours, direct expenses) required for new model development and discuss with SMC counterpart to fix entrustment details. Prepare and integrate test plans, ensuring alignment with overall project goals. Track project progress, identify deviations, and implement corrective actions. Compile and analyse failures, sharing insights and lessons learned. Maintain effective communication with stakeholders, providing regular status updates. Implement process improvements to enhance efficiency and effectiveness. Technical/ Functional : Basic knowhow of Engine parts, sub systems systems, IC Engines / Emerging Trends in Powertrain Technologies Emission / CO2 Regulatory Norms such as BS6 /CAFE Norms, Test Cycles MIDC / WLTP etc. Understanding of Model Development Processes Advance MS Office (MS Word, Excel, PowerPoint, Power BI)

Model Planning Preparing product concepts in line with MSIL Plan Competition Approach Analyse competition strategy in that specific segments and plan the change content for MC/FMC Monitory Regulatory roadmap of India plan the countermeasure in model Tracking other OEM s short- long-term model strategy to prepare benchmarking report. Consumer trend analysis using Secondary data Co-ordinate with all stakeholders in MSIL SMC to ensure the timely completion of all activities as per planned Model Schedule. BASIC UNDERSTANDING OF Understanding of Macro-economic factors and Impact on Passenger Car market. Model development process / Timelines. Proficiency in using Project management tools and methodologies. Ability to evaluate product features in terms of cost, performance and customer value. Expertise in MS office [PowerPoint, Word, Excel] Tools Business portfolio financial analysis of OEMs BEHAVIOURAL Excellent presentation communication skills Self-driven, eager to learn and result-oriented. Well organized, highly motivated and able to work cross functionally. Good problem-solving and analytical skills Managing working with CFT Ability to manage stake holders across different levels of organization across functions. BASIC KNOWLEDGE OF Emerging Trends in Product, body type, technology, design etc. Vehicles segmentation understanding, Data analytics, Consumer voice translation to technical parameters. Excellent presentation communication skills

Model Planning Preparing product concepts in line with MSIL Plan Competition Approach Analyse competition strategy in that specific segments and plan the change content for MC/FMC Monitory Regulatory roadmap of India plan the countermeasure in model Tracking other OEM s short- long-term model strategy to prepare benchmarking report. Consumer trend analysis using Secondary data Co-ordinate with all stakeholders in MSIL SMC to ensure the timely completion of all activities as per planned Model Schedule. BASIC UNDERSTANDING OF Understanding of Macro-economic factors and Impact on Passenger Car market. Model development process / Timelines. Proficiency in using Project management tools and methodologies. Ability to evaluate product features in terms of cost, performance and customer value. Expertise in MS office [PowerPoint, Word, Excel] Tools Business portfolio financial analysis of OEMs BEHAVIOURAL Excellent presentation communication skills Self-driven, eager to learn and result-oriented. Well organized, highly motivated and able to work cross functionally. Good problem-solving and analytical skills Managing working with CFT Ability to manage stake holders across different levels of organization across functions. BASIC KNOWLEDGE OF Emerging Trends in Product, body type, technology, design etc. Vehicles segmentation understanding, Data analytics, Consumer voice translation to technical parameters. Excellent presentation communication skills

Division- ERD-CDT Department EN-4C Functional Area NVH Structural Analysis of Chassis system components Industry preference Engineering Center (Automotive OE / Tier 1 Vendor), Research Organizations Role: Structural NVH Structural simulation (CAE) of Chassis systems and components Responsibilities: - Prepare finite element models of Vehicle Chassis (Brake, Suspension Steering) components and subsystems. - Apply basic loading and boundary conditions for structural, thermal and modal analysis of chassis parts especially brakes. - Carry CAE Analysis and establish correlation of results with actual tests. - Result interpretation and detailed analysis report preparation. - Efficient execution of CAE activities for model development, Value Enhancement, Quality resolution projects at different product development stages. - Participation in problems trouble shooting and after-analysis, proposing countermeasures and support in implementation. - Supporting design team to generate evaluate weight cost reduction proposals. - Support the team in improvement and generation of CAE methodology. Competency Requirements Technical/ Functional : Good knowledge of functioning and design of Chassis parts and subsystems especially brakes. Ability to perform virtual validation interpreting physical test conditions. Excellent knowledge of Noise and Vibration, Fatigue Theory of Elasticity. Candidate should have: o Good Concept of FEA, Analysis of part level, sub system level and vehicle level o Experience in using Pre / Post tools like Hypermesh, Hyperview, Estech Sequal o Experience in doing NVH analysis using Solver MSC Nastran . Desired: Experience on Brake parts NVH, Structural CAE, Suspension Steering CAE know-how is added advantage. Background Educational Qualification Essential : BE, B Tech Desirable: M Tech

Educational Qualification : BE / B.Tech - Any MINIMUM 65% marks or Equivalent : Market Insights Preparing product concepts in line with MSIL Plan Competition Approach Analyse competition strategy in that specific segments and plan the change content for MC/FMC Monitory Regulatory roadmap of India plan the countermeasure in model Tracking other OEM s short long term model strategy to prepare benchmarking report. Consumer trend analysis using Secondary data Co-ordinate with all stakeholders in MSIL SMC to ensure the timely completion of all activities as per planned Model Schedule. VII. COMPETENCY REQUIRMENTS BASIC UNDERSTANDING OF Automotive industry, vehicle segments, Indian customers understanding and competition scenario. Model development process / Timelines. Expertise in MS office [PowerPoint, Word, Excel] Tools Business portfolio financial analysis of OEMs BEHAVIOURAL Excellent presentation communication skills Self-driven, eager to learn and result-oriented. Well organized, highly motivated and able to work cross functionally. Good problem-solving and analytical skills Managing working with CFT Multi-tasking skills FUNCTIONAL AREA BASIC KNOWLEDGE OF Emerging Trends in Product, body type, technology, design etc. Vehicles segmentation understanding, Data analytics, Consumer voice translation to technical parameters. Excellent presentation communication skills.

LEVEL : DM/MANAGER Job Role : TEAM MEMBER MANAGING LAB TESTING FOR MODEL DEVELOPMENT ACTIVITY (CRASH AND SLED). 1) PLANNING EXECUTION OF DESIGN/DEVELOPMENT TEST REQUIREMENTS. 2) UNDERSTANDING THE LAB CRASH/SLED TESTING AND EXECUTION. 3) TEAM MANAGEMENT AND IMPART TRAINING Competency Requirements : 1) EXPERIENCE IN a. AWARENSS OF AIRBAG TESTING, SIMULATION USING SLED SYSTEM. b. UNDERSTNADING OF VEHICLE LEVEL CRASH TESTING [FULL FRONTAL, OFFSET, SIDE AND NCAP] 2) AWARENESS ON REGAULATIONS RELATED TO CRASH TESTING, SLED TESTING. TEAM PLAYER, GOOD ANALYTICAL/ PRESENTATION SKILLS DECISION-MAKING SKILLS. FUTURE PLANNING CONCEPUALIZATION THINKING. SUBORDINATE DEVELOPMENT MOTIVATIONAL SKILLS. Specific Expertise : OPENNESS TO LEARNING, CREATIVE, INNOVATIVE APPROACH, SHARING EXPERIENCE, SKILLFUL TRAINER DISSEMINATE LEARNING IN RELATED FIELD TO GROUP

LEVEL : AM/DM Job Role : TEAM MEMBER TO HANDLE MODEL DEVELOPMENT ACTIVITY. 1) PLANNING EXECUTION OF DESIGN/DEVELOPMENT TEST REQUIREMENTS. 2) ROOT CAUSE ANALYSIS COUNTER-MEASURE DEVLOPMENT 3) CO-ORDINATION WITH CAE/DESIGN TEAM FOR RESULT VALIDATION IMPLEMENTATION. 4) TEAM MANAGEMENT AND IMPART TRAINING Competency Requirements : 1) EXPERIENCE IN VEHICLE RELATED SAFETY TESTING LIKE SEAT BELT ANCHORAGE, HEAD FORM, BUMPER SIDE IMPACT, PEDESTRIAN HEADFORM LEGFORM TESTS. 2) AWARENESS OF PEDESTRIAN SAFETY TEST DUMMIES LIKE HEADFORM, FLEX-PLI, A-PLI etc. 3) AWARENESS ON PASSIVE SAFETY REGULATIONS 4) AWARENESS OF NCAP PROTOCOLS AND SAFETY RATINGS 5) HANDS ON UG EXPERIENCE TEAM PLAYER, GOOD ANALYTICAL/ PRESENTATION SKILLS DECISION-MAKING SKILLS. FUTURE PLANNING CONCEPUALIZATION THINKING. Specific Expertise : OPENNESS TO LEARNING, CREATIVE, INNOVATIVE APPROACH, SHARING EXPERIENCE, SKILLFUL TRAINER DISSEMINATE LEARNING IN RELATED FIELD TO GROUP MEMBER.

Designation : AM /DM JOB Responsibility TEAM MEMBER TO HANDLE MODEL DEVELOPMENT ACTIVITY. 1) PLANNING EXECUTION OF DESIGN/DEVELOPMENT TEST REQUIREMENTS. 2) ROOT CAUSE ANALYSIS COUNTER-MEASURE DEVLOPMENT 3) CO-ORDINATION WITH CAE/DESIGN TEAM FOR RESULT VALIDATION IMPLEMENTATION. 4) TEAM MANAGEMENT AND IMPART TRAINING COMPETENCY 1) EXPERIENCE IN VEHICLE RELATED SAFETY TESTING LIKE SEAT BELT ANCHORAGE, HEAD FORM, BUMPER SIDE IMPACT, PEDESTRIAN HEADFORM LEGFORM TESTS. 2) AWARENESS OF PEDESTRIAN SAFETY TEST DUMMIES LIKE HEADFORM, FLEX-PLI, A-PLI etc. 3) AWARENESS ON PASSIVE SAFETY REGULATIONS 4) AWARENESS OF NCAP PROTOCOLS AND SAFETY RATINGS 5) HANDS ON UG EXPERIENCE TEAM PLAYER, GOOD ANALYTICAL/ PRESENTATION SKILLS DECISION-MAKING SKILLS. FUTURE PLANNING CONCEPUALIZATION THINKING. SPECIFIC EXPERTISE FOR FUNCTIONAL AREA OPENNESS TO LEARNING, CREATIVE, INNOVATIVE APPROACH, SHARING EXPERIENCE, SKILLFUL TRAINER DISSEMINATE LEARNING IN RELATED FIELD TO GROUP

Role: Brake Suspension CAE Analysis (Strength / Durability / NVH) Responsibilities: Prepare finite element models of Vehicle Chassis (Brake, Suspension Steering) components and subsystems. Apply basic loading and boundary conditions for structural, thermal and modal analysis of chassis parts especially brakes. Carry CAE Analysis and establish correlation of results with actual tests. Result interpretation and detailed analysis report preparation. Efficient execution of CAE activities for model development, Value Enhancement, Quality resolution projects at different product development stages. Participation in problems trouble shooting and after-analysis, proposing countermeasures and support in implementation. Supporting design team to generate evaluate weight cost reduction proposals. Support the team in improvement and generation of CAE methodology. Competency Requirements: (a) Technical/ Functional : Good knowledge of functioning and design of Chassis parts and subsystems especially brakes. Ability to perform virtual validation interpreting physical test conditions. Excellent knowledge of Noise and Vibration, Fatigue Theory of Elasticity. Candidate should have: Good Concept of FEA, Analysis of part level, sub system level and vehicle level Experience in using Pre / Solver / Post tools like Hypermesh, Hyperview, Estech Sequal, ABAQUS Experience in doing NVH analysis using Solver MSC Nastran . Desired: Experience on Brake parts NVH, Structural CAE. Suspension Steering CAE know-how is added advantage. (b) Behavioral: Good analytical ability, Communication presentation skills, Problem solving skills, Achievement oriented, Active Team player, Networking skills.

Education : B.E./B.Tech/M. Tech with distinction. Job Responsibility : Team Member or Team Leader for Measurement, Data Analysis, and counter-measure proposal for improving the Sound Quality and Customer experience of Driving: Capable of carrying out Noise and Vibration measurement. Analyzing the Sound Spectrum for Psychoacoustic Parameters like Roughness, Sharpness, Loudness, Articulation Index, Tonality etc. Capable of Performing Jury Evaluation and develop framework for subjective and objective data correlation. Collaborate with design, simulation, and product development teams to implement NVH optimization strategies during the product lifecycle based on Sound Quality inputs. Competency Requirements : Experience with sound quality analysis, including subjective/objective evaluations, using tools such as HEAD Acoustics or similar. Experience in NVH Test data analysis software like Siemens Test Lab, BK connect, BK Sonoscout, Muller BBM Pak, etc. Hands on experience on using measurement sensors - microphones, accelerometers, tacho sensors, CAN data loggers, Binaural Headset, Volume Velocity Sources, Data acquisition systems, etc. Expertise in using Jury Evaluation Software s Hands-on experience with Python for data processing, process automation, and machine learning model development is a plus. Team player, good analytical/ presentation skills decision-making skills. Future planning conceptualization thinking. Subordinate development motivational skills Specific Expertise : Mastery in recording, mixing, and masking noise techniques is crucial, and know-how of latest audio software and hardware innovations. Skill in driving on High Speed and different road patterns

Job Description: We are seeking an experienced Data Scientist with expertise in advanced machine learning techniques to join our dynamic team. The ideal candidate will have hands-on experience developing and deploying models using ensemble methods and other cutting-edge ML algorithms, mostly in the US banking domain. Key Responsibilities: Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., prescreen, acquisition, account management, collections, and fraud). Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions. Work with large datasets, utilizing tools like Python and SQL , to extract, clean, and transform data for modeling purposes. Ensure model robustness, interpretability, and scalability within banking environments. Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.

LLM Specialist Data Scientist Chennai - Guindy, India Information Technology 15187 Overview We are seeking an experienced Senior Technical Lead to join our innovative and dynamic team. The ideal candidate should have 10 to 14 years of industry experience working with large volumes of data, developing and deploying multiple AI models, and possessing a strong understanding of Generative AI and LLM (Large Language Models) techniques. As a Senior Technical Lead, you will be responsible for leading AI projects, driving technical excellence, and providing guidance to the AI development team. Responsibilities 1. Lead AI ProjectsTake ownership of AI initiatives, from conception to deployment, by collaborating with cross-functional teams and stakeholders, and ensuring successful project delivery. 2. Technical LeadershipProvide technical leadership and guidance to the AI development team, ensuring adherence to best practices, efficient implementation of AI models, and quality code development. 3. Data AnalysisAnalyse and understand large volumes of structured and unstructured data, extracting meaningful insights to drive AI model development and decision-making processes. 4. AI Model DevelopmentDevelop and deploy AI models that leverage a variety of techniques, including machine learning, deep learning, and Generative AI. Ensure the models are scalable, accurate, and robust. 5. LLM ExpertiseApply your expertise in Large Language Models (LLMs) to enhance the performance and capabilities of AI models, leveraging state-of-the-art techniques and staying up-to-date with the latest advancements in the field. 6. Performance OptimizationOptimize AI models for performance, efficiency, and scalability, leveraging techniques such as model compression, quantization, and parallel processing to improve execution time and resource utilization. 7. Model EvaluationDesign and implement evaluation frameworks to measure the performance and effectiveness of AI models, including metrics for accuracy, precision, recall, and other relevant parameters. 8. Collaboration and CommunicationCollaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to understand requirements, provide technical insights, and ensure alignment with organizational goals. 9. Industry TrendsStay abreast of the latest trends, research, and advancements in the AI field, and proactively explore opportunities to leverage emerging technologies and techniques for continuous improvement. Documentation and ReportingCreate and maintain comprehensive documentation, including technical specifications, model architectures, and project reports, to facilitate knowledge sharing and project management processes. Requirements Bachelor's degree in any field MSc/BE/Masters with specialization in IT/Computer Science Experience in a 'Data Scientist' role and overseeing data-centered projects Experience10 to 15 years of industry experience working on AI projects, handling large volumes of data, and developing and deploying multiple AI models. Technical Skills: Strong programming skills in languages such as Python, Java, or C++. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with Generative AI techniques and LLMs, such as GPT (Generative Pre-trained Transformers). Familiarity with data preprocessing, feature engineering, and data visualization techniques. Knowledge of cloud platforms and technologies for scalable AI model deployment, such as AWS, Azure, or Google Cloud. Understanding of software engineering principles and best practices, including version control, testing, and debugging. Analytical Skills: Excellent analytical and problem-solving abilities, with a strong attention to detail and the ability to extract meaningful insights from complex data sets. Leadership and CommunicationDemonstrated leadership skills, with the ability to lead and inspire a team, collaborate effectively with cross-functional stakeholders, and communicate technical concepts to non-technical audiences. Continuous LearningA passion for staying up to date with the latest advancements in AI, machine learning, and Generative AI techniques, with a commitment to continuous learning and self-improvement. We offer a competitive salary package and a stimulating work environment where you will have the opportunity to make a significant impact through your expertise in AI and leadership skills. If you are a driven and experienced AI professional with a strong background in handling large volumes of data and developing AI models, we would love to hear from you.

Overview Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Responsibilities 1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. 2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Qualifications Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python : Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have) : Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

About The Role : Job TitleSenior Risk Analyst LocationPune, India Role Description Today, markets face a whole new set of pressures but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. Were looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. Thats why we are Investors for a new now. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, well give you the support and platform to develop new skills, make an impact and work alongside some of the industrys greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. About DWS Investment Risk The Chief Risk Office within DWS is an independent function responsible for protecting the business as well as being a trusted adviser and partner for supporting sustainable business growth. As part of the Chief Risk Office, the Investment Risk team is in charge of independent oversight of investment risk of DWS fiduciary portfolios. In this role, it designs and executes the risk programs to identify, measure, control and manage market, liquidity, sustainability, and counterparty risk of fiduciary portfolios. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support the development and maintenance of investment risk management programs and models via quantitative analysis and development of new processes Support the documentation of investment risk management programs and models Conduct scenario calibration and model parameterizations Perform portfolio market risk monitoring, analysis, and reporting across different asset classes (e.g. equity, fixed income, and commodities) Execute ongoing model performance monitoring Design and execute compensating controls for identified model weaknesses Support and execute data quality management and escalation processes for different risk metrics Support the development of systems and tools to automate and operationalize risk limitation, measurement, monitoring and escalation processes Contribute to global and local projects Your skills and experience University degree in Finance or quantitative field, Chartered Financial Analyst or Financial Risk Manager designations a plus At least 2 years of proven experience in the financial services industry (Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management) Proven experience with analytical models for financial instruments Previous experience with BlackRock Solutions Aladdin preferred Good knowledge of financial instruments including related analytics Strong analytical skills (quantitative and qualitative) Good verbal and written communications skills Proactive mind-set to implement process improvements and new solutions Strong working knowledge of Excel, SQL, and Python How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm