221 Model Development Jobs - Page 6

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EYs FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications and Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Immediate Openings on # Data Scientist GenAI Developer _ Mumbai / Pune / Hyderabad _ Contract Experience:6+ Years Skill: Data Scientist GenAI Developer Notice Period: Immediate Employment Type: Contract Work Mode: WFO/Hybrid Job Description : Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

Data for AI: Design and implement data pipelines specifically tailored for AI training and model development. Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access. Implement data pre-processing and feature engineering techniques for optimal model performance. AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis. Build and maintain data lakes and warehouses optimized for AI workloads. Implement automated data transformations,cleansing, and validation processes to ensure data quality. Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, PyTorch). Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques. Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues. Overview The Emmes Company, LLC ( Emmes ) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. We believe in the power of truth, so much so that we named our company Emmes, which means truth. Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass. Our Character Achieves Results culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity. We are a trusted partner to clients who share our passion for improving public health in a world of ever-changing scientific research. If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee from entry level through top executive to contribute to our clients success by sharing ideas openly and honestly. Primary Purpose Building and maintaining our data infrastructure on the AWS cloud platform, with a specific focus on supporting AI model training, development, and deployment. This includes designing, developing, and implementing data pipelines, ensuring the secure and efficient flow of data for our AI models. Responsibilities Data for AI: Design and implement data pipelines specifically tailored for AI training and model development. Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access. Implement data pre-processing and feature engineering techniques for optimal model performance. AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis. Build and maintain data lakes and warehouses optimized for AI workloads. Implement automated data transformations,cleansing, and validation processes to ensure data quality. Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, PyTorch). Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques. Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues. Qualifications 5 to 8 years of experience as a Data Engineer or similar role,with a demonstrated experience in supporting data pipelines for AI applications and their data requirements. Proven experience with AWS services,including S3, Redshift, Glue, Lambda, and Kinesis. Strong experience with Python and SQL. Strong understanding of AI libraries and frameworks. Experience with data warehousing and data modeling concepts. Excellent problem-solving and analytical skills. Ability to work independently and as part of a collaborative team. Strong communication and collaboration skills. CONNECT WITH US! Follow us on Twitter - @EmmesCRO Find us on LinkedIn - The Emmes Company, LLC

Preparation of 2D 3D drawings for Stack Component. Preparation of Engineering Drawings Technical Specification for Inhouse Outsource manufacturing for Stack Component. Selection of Boughtout Items Making Design Sizing Calculation. Review Approval of Boughtout items. Engineering for Facility Equipment s Stack Tilter, Trolley s, Tools for Facility. Preparation of Jigs Fixtures for Component manufacturing Assembly. Preparation of Assembly Procedure for Shop Activity. Layout Engineering for Facility. 3D Model Development for Electrolyser Componenet, Layout Engineering, Detail Engineering, Drawing drafting, Tool design for Electrolyser Manufacturing. Material Selection, Preparation of Specification for componenet procurement. Understanding of Electrolyser

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

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