571 Modeling Jobs - Page 23

Proficiency in CATIA V5/V6 tools – 3D modeling, drafting, surface design. Understanding of manufacturing processes & CNC machining Understanding of engineering drawings, tolerances, and standards Ability to interpret & apply GD&T standards (ISO/ASME) Required Candidate profile Exp in fixture & tool design for mechanical components Knowledge of process planning and inspection techniques Excellent problem-solving & analytical skills Attention to detail & commitment to quality Perks and benefits Incentives, Free Cab & Canteen, PF, Insurance

KDataScience (USA & INDIA) is looking for Senior Data Engineer to join our dynamic team and embark on a rewarding career journey Designing and implementing scalable and reliable data pipelines, data models, and data infrastructure for processing large and complex datasets. Developing and maintaining databases, data warehouses, and data lakes that store and manage the organization's data. Developing and implementing data integration and ETL (Extract, Transform, Load) processes to ensure that data flows smoothly and accurately between different systems and data sources. Ensuring data quality, consistency, and accuracy through data profiling, cleansing, and validation. Building and maintaining data processing and analytics systems that support business intelligence, machine learning, and other data-driven applications. Optimizing the performance and scalability of data systems and infrastructure to ensure that they can handle the organization's growing data needs.

KDataScience (USA & INDIA) is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Role & responsibilities Tool Designer, Creo, Solidworks, Autocad, Sheetmetal design, Automotive, GD&T Preferred candidate profile

Education: A Bachelors degree in Computer Science, Engineering (B.Tech, BE), or a related field such as MCA (Master of Computer Applications) is required for this role. Experience: 8+ years in data engineering with a focus on building scalable and reliable data infrastructure. Skills: Language: Proficiency in Java or Python or Scala. Prior experience in Oil Gas, Titles Leases, or Financial Services is a must have. Databases: Expertise in relational and NoSQL databases like PostgreSQL, MongoDB, Redis, and Elasticsearch. Data Pipelines: Strong experience in designing and implementing ETL/ELT pipelines for large datasets. Tools: Hands-on experience with Databricks, Spark, and cloud platforms. Data Lakehouse: Expertise in data modeling, designing Data Lakehouses, and building data pipelines. Modern Data Stack: Familiarity with modern data stack and data governance practices. Data Orchestration: Proficient in data orchestration and workflow tools. Data Modeling: Proficient in modeling and building data architectures for high-throughput environments. Stream Processing: Extensive experience with stream processing technologies such as Apache Kafka. Distributed Systems: Strong understanding of distributed systems, scalability, and availability. DevOps: Familiarity with DevOps practices, continuous integration, and continuous deployment (CI/CD). Problem-Solving: Strong problem-solving skills with a focus on scalable data infrastructure. Key Responsibilities: This is a role with high expectations of hands on design and development. Design and development of systems for ingestion, persistence, consumption, ETL/ELT, versioning for different data types e.g. relational, document, geospatial, graph, timeseries etc. in transactional and analytical patterns. Drive the development of applications related to data extraction, especially from formats like TIFF, PDF, and others, including OCR and data classification/categorization. Analyze and improve the efficiency, scalability, and reliability of our data infrastructure. Assist in the design and implementation of robust ETL/ELT pipelines for processing large volumes of data. Collaborate with cross-functional scrum teams to respond quickly and effectively to business needs. Work closely with data scientists and analysts to define data requirements and develop comprehensive data solutions. Implement data quality checks and monitoring to ensure data integrity and reliability across all systems. Develop and maintain data models, schemas, and documentation to support data-driven decision-making. Manage and scale data infrastructure on cloud platforms, leveraging cloud-native tools and services. Benefits: Salary: Competitive and aligned with local standards. Performance Bonus: According to company policy. Benefits: Includes medical insurance and group term life insurance. Continuous learning and development.10 recognized public holidays. Parental Leave

Job Title: Senior BIM Technician - Bridges Job Description: We are seeking an experienced Senior BIM Technician specializing in bridge projects to join our dynamic team. The ideal candidate will possess a strong background in Building Information Modeling (BIM) and a thorough understanding of bridge design and construction processes. Key Responsibilities: - Develop and manage detailed BIM models for various bridge projects using advanced software tools. - Collaborate with architects, engineers, and other stakeholders to ensure the accuracy and effectiveness of BIM deliverables. - Conduct clash detection and coordination efforts to identify and resolve potential issues before construction. - Provide technical support and guidance to junior BIM technicians and other team members. - Assist in the preparation and review of project documentation. - Stay updated on the latest BIM technologies, software, and industry standards to enhance project outcomes. - Ability to handle projects independently following the Quality process required. - Participate in project meetings and communicate effectively with the project team and clients. Qualifications: - Bachelor’s degree/ Diploma in Civil Engineering, Architecture, or a related field. - Proven experience in BIM modeling for bridge projects, with a strong portfolio showcasing previous work. - Proficiency in BIM software such as Autodesk Revit, Sofistik, Navisworks, and Civil 3D. - Excellent understanding of structural design principles and bridge engineering practices. - Strong analytical and problem-solving skills. - Ability to work collaboratively in a team-oriented environment. - Effective communication skills, both written and verbal.

We require an accomplished business analyst with in-depth experience of completing detailed business process analysis and requirement gathering to enable the delivery of complex software development projects. Within this role, the candidate will be responsible for understanding and verifying business cases for change, completing business process analysis, and defining business requirements, functional requirements and design. This will be executed across multiple projects within the trading division. The candidate will manage relationships and expectations with business stakeholders and sponsors and support development and test teams throughout the entire delivery lifecycle. The candidate will be expected to apply structured analysis and problem solving in areas they maybe not have business domain knowledge and experience. Knowledge, Skills and Abilities 8+ years of experience as a Business Analyst in IT, with a focus on web applications, APIs, or integration projects. Proven ability to act as a bridge between business users and remote/technical teams, turning concepts into actionable requirements. Strong understanding of: Agile delivery methodologies (Scrum, Kanban, Lean) Web application workflows and basic UX/UI principles API basics and integration patterns SQL and data modeling for basic analysis or back-end support Experience with low-code/no-code platforms (e.g., Appsmith or Mendix) is a plus. Familiarity with cloud platforms (e.g., Azure, AWS) and deployment cycles. Comfortable creating lightweight documentation such as wireframes, process diagrams, and data flows. Excellent communication and facilitation skills with cross-functional and remote teams. Ability to manage multiple workstreams and shifting priorities independently. Key Responsibilities Collaborate closely with business stakeholders to rapidly gather and define functional requirements for small-scale IT solutions. Translate business needs into user stories, mock-ups, and acceptance criteria suitable for quick development and iteration. Partner with developers to refine designs, clarify requirements, and support iterative solution delivery. Participate in solution design discussions, emphasizing usability and system integration feasibility. Facilitate user acceptance testing (UAT), collect feedback, and support continuous improvement. Assist with backlog grooming, story prioritization, and lightweight release planning. Support post-go-live activities including training, UAT support, and issue resolution. Provide mentorship and guidance to junior analysts and contribute to agile practices across the team Key Attitudes / Competencies: Delivery-oriented: Focused on achieving outcomes quickly and effectively. Agile mindset: Open to feedback, iterative delivery, and continuous improvement. Collaborative: Builds strong relationships across business and technical teams. Proactive: Anticipates issues and drives resolution independently. Adaptable: Comfortable in evolving environments with changing priorities. Communicative: Clearly conveys ideas, requirements, and feedback across diverse audiences. Key Relationships Robust collaborative relationship with architects, developers, project managers & other business analysts Testing and training groups Reporting Structure Reporting into Delivery Lead Department Trafigura is committed to building and maintaining world class IT applications and infrastructure. The Trading IT group directly supports the Trafigura trading business, and this business has started a far-reaching programme to enhance and improve its trading applications using an innovative architecture to support business growth across the full range of business lines and geographies, and to enable the sharing of systems across different businesses. This programme is aimed at delivering functional capabilities, enhancements and technical infrastructure upgrades to enable continued business growth and enhanced profitability for the firm.

Role & responsibilities Understanding the requirement of project and coordinating effectively with Global team Effectively interpreting various applicable international codes and standards along with customer internal standards Applying knowledge of these standards for detail design of compressor components Preparing detailed Model and Drawing using Siemens NX integrated with Teamcenter Managing engineering Bill of Materials using Siemens NX and Teamcenter Performing detail self-review and peer review, Participating and leading design reviews Providing technical support to colleagues Ensure quality and timely deliveries of engineering documentation, Lesson Learnt, Best practice Performing troubleshooting, analyzing failures, prepare root cause analysis and implement actions Train and help peers on compressor modelling and detailing as per Customers standard Preferred candidate profile B.E/B.Tech/Diploma 3+ years of relevant engineering work experience Significant hands-on experience in working with Siemens NX and Teamcenter involved High complex modeling activities Experience in creating detailed manufacturing drawing using GD&T as per ISO Knowledge on Welding symbols Excellent team player to support and serve the global team Ability to work independently with clarity on scope and responsibility Ability to manage multiple projects and deadlines High flexibility in taking new tasks/responsibilities Knowledge on turbo machineries and their components will be added advantage

Overview As an integral part of Mumbai Finance Center - FP&A Function, this role is responsible for managing & supporting Strategic Planning, Annual Operating Plan, Quarterly & Rolling Forecast and Management reporting & analysis. Responsibilities Strategic & Annual Operating Planning, Quarterly Forecasts/Rolling Forecast : For Operating Metrics & Revenue Preparation of Firm-wide financial modeling, budgeting, reporting and analysis, oversee efficient and comprehensive processes for developing financial plans (annual budgets, longer-term strategic plans). Design, develop and maintain forward looking Forecast models under various scenarios. Ensure the functionality and accuracy of financial forecasting models, including maintaining the input, output and key assumptions. Liaise with the Accounting, Business Performance and Operational teams to understand & build accurate projections. Financial Reporting Analysis: For Operating Metrics & Revenue Prepare high quality presentations for senior management, clients, and Boards of Directors, as required Identify and develop key reports, KPIs and meaningful analytics to assist with analysis and decision making. Collaborate with Accounting, Business Performance teams and deliver the month/quarter-end with meaningful variance analysis to budget and forecast. Process improvement / Automation: For Operating Metrics & Revenue Drive the improvement of processes as well as reporting to maintain efficient operations. Participate in Planning Tool/system or any project implementation assigned from time to time. Qualifications Bachelor’s Degree in Finance or Accounting required. 4-6 years of post-graduate experience in Financial Planning & Analysis function. Working knowledge of US GAAP; CA/CMA/CPA or MBA-Finance from Tier 1 Institute is preferred. Strong Excel modeling skills required; experience in building forecast models required. Proficient in Microsoft Office suite of applications, particularly PowerPoint. Experience on Power BI will be an advantage. Demonstrates proficiency in providing accurate and detailed financial analysis in a fast-paced environment. Preferred Qualifications: Positive problem-solving attitude, high analytical ability, and KPI-driven results. High aptitude for financial reporting and explaining information in simple terms. Effective listener & clear communicator with excellent written and verbal skills. Works well independently, takes initiative, and adapts work schedule as required. Ability to manage multiple project and priorities on a simultaneous basis. Strong organizational skills, attention to detail, and accuracy. Ability to work with cross-functional teams. The attitude of a team player, polished, possessing a strong work ethic and drive for results. 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

ob Description: Designer and Sr .NET Developer 9 -12 Years of experience Key Responsibilities Domain Modeling & RESTFul Standards: Develop and maintain comprehensive domain models based on Domain Driven Design . Define domain API domain implementation design using domain objects / resources using RESTFul API standards . Collaborate with other application stakeholders to understand business processes and workflow scenarios to integrate Domain APIs with upstream and downstream applications. Application Architecture: Understand application architectures that support scalability, reliability, security and performance. Understand existing legacy WCF code and provide solution to convert the same to .NET 8 . Azure Cloud Expertise: Understand Azure cloud-based distributed, container based and serverless REST based Microservices . Develop and deploy REST based domain APIs in containers using Azure Kubernetes Services . Create unit test projects and perform API testing using postman . Implement seamless integration and communication between microservices. Implement distributed transactions scenarios in microservice. Bring expertise in implementing identity management, authentication, authorization, RBAC, DevSecOps pipeline, observability, service virtualization and database queries and other objects creation and management to project. Kubernetes and Microservices: Design, develop and deploy containerized applications using Azure Kubernetes Services. Implement seamless integration and communication between microservices. Identify, design and implement distributed transactions scenarios with microservice. Qualifications Must have minimum 8 years of experience in software design and development. Must have contributed to microservice implementation projects as developer using Kubernetes and REST APIs. Proven experience in domain modeling and application architecture. Must have Hands-on experience with .NET 8, ADO.NET , Web API, DDD, RESTFul Services, Kubernetes for container orchestration. Proficient in designing and implementing microservice architecture. Excellent problem-solving skills and ability to work collaboratively in a team environment. Good to have a understanding of PCI-DSS standards and implementation strategies. Must have hands on expertise in developing cloud native applications using Azure Cloud services.

Generate 3D/2D CAD models and drawing Ensure manufacturing and assembly feasibility Follow standard and best practices Support product development and concept Design calculation Prepare technical docs and manual Collaborate and track project progress Required Candidate profile Strong problem-solving and time management Proactive in tech/process improvements Cross-disciplinary skills 3+ yrs design experience SolidWorks expertise FEA & ISO 9001 exposure preferred

NOTE- Mandatory to have experience in Azure Data Engineering with ADF, ADB, ADLS, Azure Synapse. Hiring for- MNC Client Location- Bangalore (work from office) Role- Senior Analyst- Azure- Data Management Shift - General Purpose- Understand client requirements and build ETL solution using Azure Data Factory, Azure Databricks & PySpark. Build solution in such a way that it can absorb clients change request very easily. Find innovative ways to accomplish tasks and handle multiple projects simultaneously and independently. Works with Data & appropriate teams to effectively source required data. Identify data gaps and work with client teams to effectively communicate the findings to stakeholders/clients . Main accountabilities: Develop ETL solution to populate Centralized Repository by integrating data from various data sources. Create Data Pipelines, Data Flow, Data Model according to the business requirement. Proficient in implementing all transformations according to business needs. Identify data gaps in data lake and work with relevant data/client teams to get necessary data required for dashboarding/ reporting. Strong experience working on Azure data platform, Azure Data Factory, Azure Data Bricks. Strong experience working on ETL components and scripting languages like PySpark, Python. Experience in creating Pipelines, Alerts, email notifications, and scheduling jobs. What are we looking for? Bachelors' degree in Engineering or Science or equivalent graduates with at least 4-7 years of overall experience in data management including data integration, modeling & optimization. Minimum 3 years of experience working on Azure cloud, Azure Data Factory, Azure Databricks. Minimum 2-3 years of experience in PySpark, Python, etc. for data ETL. In-depth understanding of data warehouse, ETL concept and modeling principles. Strong ability to design, build and manage data. Strong understanding of Data integration.

AI Trainer - Blender Specialist Position Overview We are seeking an experienced specialist in Blender to record high-quality workflow demonstrations that will be used to train world-class AI agents. The ideal candidate will capture precise, step-by-step processes that AI systems can learn from to replicate professional Blender workflows. Key Responsibilities Record detailed Blender workflow demonstrations for AI training purposes Ensure consistent quality across all recorded sessions Adapt workflows to be clearly interpretable by AI learning systems Collaborate with stakeholders to optimize data collection Identify edge cases and common challenges in Blender workflows Create varied scenarios that comprehensively cover Blender's feature set Requirements Minimum 5 years of professional experience with Blender Expert knowledge of Blender's modeling, sculpting, animation, and rendering workflows Demonstrated ability to create clear, well-structured tutorials or demonstrations Understanding of AI training methodologies (preferred) Excellent verbal communication skills for narrating workflows Strong attention to detail Experience with screen recording software and video editing tools Portfolio showcasing Blender projects and capabilities Preferred Qualifications Experience in training, creation, or automobile design. Background in computer science or AI-related fields Familiarity with other 3D software packages Understanding of machine learning principles Working Environment Full-time position with flexible scheduling Opportunity to shape next-generation AI systems Collaborative team environment with AI researchers and engineers Join us in building the future of AI by teaching machines to master professional creative tools!

Due to a healthy pipeline of projects and opportunities, we are seeking an experienced transport modeller and data analyst with a passion for sustainable transport to join the team. Experience in transport modelling both model development and application, use of big data and an interest in decarbonisation, transport appraisal and the automation of modelling is important . We are seeking an experienced transport professional, specialising in strategic transport modelling (Saturn & VISUM), with a background supporting modelling for Local Plans, transport strategies and business cases. Skills in data science including using Python, SQL, GIS and working with big data would be desireable.

AI Trainer - Blender Specialist Position Overview We are seeking an experienced specialist in Blender to record high-quality workflow demonstrations that will be used to train world-class AI agents. The ideal candidate will capture precise, step-by-step processes that AI systems can learn from to replicate professional Blender workflows. Key Responsibilities Record detailed Blender workflow demonstrations for AI training purposes Ensure consistent quality across all recorded sessions Adapt workflows to be clearly interpretable by AI learning systems Collaborate with stakeholders to optimize data collection Identify edge cases and common challenges in Blender workflows Create varied scenarios that comprehensively cover Blender's feature set Requirements Minimum 5 years of professional experience with Blender Expert knowledge of Blender's modeling, sculpting, animation, and rendering workflows Demonstrated ability to create clear, well-structured tutorials or demonstrations Understanding of AI training methodologies (preferred) Excellent verbal communication skills for narrating workflows Strong attention to detail Experience with screen recording software and video editing tools Portfolio showcasing Blender projects and capabilities Preferred Qualifications Experience in training, creation, or automobile design. Background in computer science or AI-related fields Familiarity with other 3D software packages Understanding of machine learning principles Working Environment Full-time position with flexible scheduling Opportunity to shape next-generation AI systems Collaborative team environment with AI researchers and engineers Join us in building the future of AI by teaching machines to master professional creative tools!

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.

Job: Data Engineer Experience: 5+ years Mandatory Skill: Python, Pyspark, Linux Shell Scripting Location: Trivandrum Required Skills & Experience: Experience with large-scale distributed data processing systems. Expertise in data modelling, testing, quality, access, and storage. Proficiency in Python, SQL , and experience with Databricks and DBT. Experience implementing cloud data technologies (GCP, Azure, or AWS). Knowledge of improving the data development lifecycle and shortening lead times. Agile delivery experience. Required Skills Python,Pyspark,Linux Shell Scripting

Concept design - preparing PPT / Cad, other presentations - client coordination - bidding the projects - preparing schematic level set of drawings with all required details for client approvals. Assisting in designing the various large scale projects Required Candidate profile Experienced in designing the various large-scale projects like residential - commercial - hospital - master planning. Sketch up modelling - renders in lumion and other software's . Schematic Drawings.

Analyze business workflows and translate them into data structures. Define data requirements, advise on integration and modeling, ensure metadata accuracy, and support delivery teams with reusable data assets and insights. Required Candidate profile Analyst with strong understanding of data models, business workflows, metadata management, and integration best practices. Work with cross-functional teams to align data with ops and strategic goals.

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in