Job description Dar Al-Handasah (Shair and Partners) is a renowned multidisciplinary consultancy firm specializing in Architecture, Engineering, Planning, and Environmental Design. With a legacy of over 60 years, we have a global presence and a commitment to delivering innovative and sustainable solutions to our clients' most complex challenges. Our diverse team of professionals collaborates across disciplines to create iconic projects that shape cities and improve lives. Structural Engineer Computational Designer Location - Bangalore Experience - 2-5 years You can also drop your CV adeeb.delvi@dar.com & zuhaibulla.s@dar.com Position responsibilities: Requirements: We are seeking a Structural Engineer – Computational Designer with the following qualifications: Bachelor’s degree in civil or Structural Engineering (master’s in computational design is a plus) 2–5 years of experience with a focus on design technology Good BIM background and familiarity with Revit workflows Proficiency in ETABS, SAFE, SAP2000, STAAD, etc. Expert use of Rhino + Grasshopper, Rhino.Inside.Revit, or Dynamo. Programming experience in Python, C#, and use of APIs Experience working with the Revit API for automating and customizing BIM workflows. Familiarity with CSI APIs (e.g., ETABS, SAP2000) for structural analysis automation Experience with Windows Forms or WPF development (MVVM knowledge is a plus) Strong understanding of object-oriented programming (OOP) and clean code principles Familiarity with AutoCAD and legacy CAD systems Strong communication and presentation skills Proven ability to collaborate with cross-disciplinary teams and lead training on new tools/workflows. Qualifications: Bachelor’s degree in civil or Structural Engineering (master’s in computational design is a plus) Equal Opportunity Statement: While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest. Role: Engineering - Other Industry Type: Miscellaneous Department: Production, Manufacturing & Engineering Employment Type: Full Time, Permanent Role Category: Engineering Education UG: B.Tech/B.E. in Electrical Key Skills Skills highlighted with ‘‘ are preferred keyskills ETABSStructural EngineeringProgramming RhinoSAPGrasshopperAPIOop SkillsStaad ProDynamoComputational Designer

Job description Job Title: Data Scientist Looking for someone with 5-8 years of experience manipulating data sets and building statistical models Desired Skills: Experience using statistical computer languages (R, Python, etc.) to manage data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.). Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders. Experience with Snowflake will be an added advantage. Experience in deployment of machine learning models using cloud technologies. Roles and responsibilities: 1. Work with stakeholders to identify opportunities for leveraging data to drive business solutions. 2. Mine and analyse data from databases to drive optimization and improvement of product development and business strategies. 3. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 4. Develop custom models and algorithms to apply to data sets. 5. Use predictive modelling to increase and optimize customer experiences. 6. Coordinate with different functional teams to implement models and monitor outcomes. 7. Analyse large amounts of information to discover trends and patterns. 8. Build predictive models and machine-learning algorithms. 9. Present information using data visualization techniques . 10. Good to have a knowledge of ML lifecycle and model governance. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Machine Learning RPython

Job description The Engineer will need to work on backend data model and data architecture, data migration, using python/java to build data ingestion pipelines and data validation processes, develop task schedulers for different data sources Role: Data Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Data migrationBackendData validationData modelingApplication developmentPythonData architecture

Job description Job Summary: We are looking for a skilled and passionate Python Developer to join our engineering team. The ideal candidate will have experience building backend services, APIs, and applications using Python and modern frameworks. You should have a strong understanding of best practices in coding, testing, and deploying scalable systems. Key Responsibilities: read more Key Skills Skills highlighted with ‘‘ are preferred keyskills OOPSRest Api DevelopmentdatastructurePython GITProblem SolvingFast ApiError HandlingflaskAWSSQL

Job description Experience - 9 years - 12 years Location - Mumbai / Chennai / Bangalore / Pune Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills PySparkSparkPython SQL

Job description Hiring for- Cloud Automation Engineer - Looking for candidates have 5+ years' experience in cloud automation engineer. work location - PAN India. Notice period- only for immediate joiners. Rest API and Microservices using Python: 5+ year in designing and implementing RESTful APIs and microservices using Python frameworks such as Flask, with a strong understanding of HTTP methods, response status codes, and REST principles, as well as adherence to the 12-Factor App methodology for scalable and maintainable software development. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Python Restfull ApiMicroservicesFlask

Job description Deep understanding of MSSQL, SSIS, and SSMA technologies. Collaborate with clients to understand project requirements and translate them into technical solutions. Develop, test, and deploy MSSQL databases, SSIS packages, SSMS, and Python scripts to meet project objectives. Design and implement project management artifacts, including project plans, timelines, status reports, and documentation. Lead and participate in project meetings, providing updates on project status, risks, and issues. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills SSMAMSSQLSSISPython

Job description Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. Key responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. To thrive in this role, you need to have: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic qualifications and certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business. Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Science data analyticsnatural language processingdata modelingdata miningstatistical modelingdata architecturemachine learning

Job description Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: • Primary skills: Technology->OpenSystem->Python - OpenSystem Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Python Additional Responsibilities: • Knowledge of design principles and fundamentals of architecture • Understanding of performance engineering • Knowledge of quality processes and estimation techniques • Basic understanding of project domain • Ability to translate functional / nonfunctional requirements to systems requirements • Ability to design and code complex programs • Ability to write test cases and scenarios based on the specifications • Good understanding of SDLC and agile methodologies • Awareness of latest technologies and trends • Logical thinking and problem solving skills along with an ability to collaborate Educational Requirement s MCA, MSc, MTech ,Bachelor of Engineering, BCA, BSc, BTech Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: BCA in Any Specialization, B.Sc in Any Specialization, B.Tech/B.E. in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, MCA in Any Specialization, M.Tech in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills DjangoPythonFlask

Job description Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business. Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills data science Rdata modellingdata miningstatistical modellingmachine learningPythonSQL