Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Key Responsibilities: Lead the AI CoE team, ensuring alignment with business objectives. Oversee the design, development, and deployment of AI/ML models for financial use cases. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices. Required Experience: 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role. Strong background in AI/ML model development and deployment, particularly in the financial services sector. Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Tech Specifics: Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks. MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines. Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment. Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets. Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration. Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.

The role involves being a Senior Lead clinical data science programmer in the Clinical Data Management area, focusing on enhancing data review and cleaning processes with innovative reports It entails creating and implementing studyspecific data validation procedures and reports, managing the connection to varied data sources, and ensuring efficient scheduling, monitoring, and maintenance on the Clinical Data platform The role requires detailing key handling requirements for scalable data management methods, and deriving study-specific monitoring and validati reports based on clinical protocols and amendments Ultimately, this position aims to advance clinical data management and informatics by improving data integrity, efficiency, and capacity for expansion, Engage closely with Global Development business units such as BDM, Safety, Precision Medicine, Pharmacometrics, Digital Health to deeply understand data quality, monitoring and validation needs and transform these insights into detailed business requirements for clinical data products, Act as the primary point of accountability, responsibility, and expertise in interpreting Clinical Data business needs, meticulously translating and documenting these into comprehensive business specifications at the segment, modality, and company-wide levels, Demonstrates a business understanding of study specific data to identify and assist in successful application of consistent data management processes and documentation across assigned programs, e , ensuring consistency across data quality plans, Thoroughly document the clinical product development process, including data sources, methodologies, algorithms, and underlying assumptions, to guarantee transparency, reproducibility, and auditability of clinical data products, Craft study-specific Data Quality specifications and define key Clinical data metrics to uphold the highest data quality and integrity standards across study lifecycles, Prepare study-level reports within the Clinical Data Platform to support stakeholder activities and ensure the effective use of clinical study data, Query small to large clinical data sets, manage data ingestion and delivery specifications, and data modeling requirements analyzes and evaluates clinical data, recognizes inconsistencies, and initiates the resolution of da Design clear, concise requirements for clinical reports and dashboards, establishing relevant metrics to convey data-driven insights Present findings in a compelling manner, customized for key clinical business functions such as Clinical Data Management, Pharmacometrics, Precision Medicine, etc Work towards preparing Common Data Model mapping & transformations to ensure data is usable in the analytical layer/ and comply with the Governance Committee strategy, Have hands-on experience with various clinical datasets such as EDC and non-crf dat combined with strong analytical abilities capable of managing diverse, large, and complex datasets, which ranges from fundamental research collections to detailed clinical information, Possess a deep understanding of modern data analytic frameworks and technology, which includes expertise in Big Data structures, Lakehouse architectures, as well as contemporary techniques for data collection and amalgamation, Have full understanding of clinical trial Have a passion for championing and implementing clinical data Should have practical experience with ETL processes, programming languages such SQL, Python, R, and familiarity with the AWS cloud infrastructure, including S3, Da Lake, along with analytics realms Have strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and Possess Excellent communication, and project management skills, Have a bachelors degree in computer science, Data Science, Statistics, or a similar area is required Candidate should have substantial experience, ideally over 7 years, specifically within clinical data analysis and preferab within the BioPharma sector Important Information For Applicants This role does not offer remote work and is not open to freshers, Please review the job description carefully before applying,

reliability Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience: 4 - 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

About Stripe Stripe is a financial infrastructure platform for businesses Millions of companies?from the worlds largest enterprises to the most ambitious startups?use Stripe to accept payments, grow their revenue, and accelerate new business opportunities Our mission is to increase the GDP of the internet, and we have a large amount of work ahead That means you have an unprecedented opportunity to put the global economy within everyones reach while doing the most important work of your career, About The Team Treasury Operations is integral to the strategy, execution and support of many Treasury Finances core functionalities (bank account management, cash management, investment management, payments processing, risk management and compliance) We are seeking an exceptional candidate to support our bank account management function, What youll do To Support daily operational rigor of the Treasury Finance functions, you will own and drive Stripe Bank Accounts management This includes leading strategic and operational processes involved in effectively overseeing and controlling a company's bank accounts, including all functions related to opening, maintaining, and optimizing bank accounts to achieve financial efficiency, security, and compliance You will also help to develop metrics and ensure were continuously improving our processes and systems to support signatory updates, implement controls in line with policy while supporting the goal of a world-class Treasury Operations function, You Will Be an integral part of the Treasury Operations team that manages our bank account management function with a high degree of ownership, compliance/risk based mindset, and meticulous attention to detail, Drive data based decisions to identify opportunities to reduce risk and improve operating efficiency: Maintain and implement our bank signatory framework, ensure compliance with company policies and procedures, conduct periodic/annual reviews and perform remediation, Manage signatories and bank account information within company systems and databases Support the opening of new bank accounts in various global markets interacting directly with our banking partners Collect and analyze data to help develop solutions and recommendations for process enhancements and efficiencies Provide periodic/monthly close support with bank account statement compilation Develop and implement policies, procedures, and controls over: ^ System access administration, internal controls, and audits Bank account opening, closing, control maintenance and global expansion External regulatory requirements (where applicable) ^ Partner with internal systems to develop world-class systems and process automation along with metrics to provide observability of our daily operational process Who you are Were looking for someone who meets the minimum requirements to be considered for the role If you meet these requirements, you are encouraged to apply The preferred qualifications are a bonus, not a requirement, Minimum Requirements Bachelors degree and 5+ years of work experience in bank account management or related functions, Strong ownership mindset with problem-solving skills You enjoy ?rolling up your sleeves? to dive into the details of a complex problem to come up with scalable solutions, Strong communication skills (both written and verbal) and an ability to interact with cross-functional teams, Fast learner and ability to multitask and navigate a fast-paced environment with tight deadlines, Curiosity and a desire to understand how things work and how they could be optimized to work at scale, Highly organized with exceptional attention to detail and follow-through, Nice to have Knowledge of the payments industry and fintech landscape Familiarity with regulations that pertain to the payments and financial services industries Experience with SQL, R, or equivalent, In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users This expectation may vary depending on role, team and location For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible, Pay and benefits Stripe does not yet include pay ranges in job postings in every country Stripe strongly values pay transparency and is working toward pay transparency globally,

Job Title: Principal Bio-Statistician-Non clinical statistic Location: Hyderabad About The Job As part of the development of Sanofis pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC) (CMC Statistics), is responsible for contributing to statistical support, modeling, digitalization, decision-making and filing of new product registration files, Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do Build a career and you can be part of transforming our business while helping to change millions of lives ReadyAs CMC statistician within our Data Sciences/ CMC Statistics youll be supporting the CMC activities for process, analytical methods and formulation development, for several CMC sites in the world, We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives Were also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible Ready to get started Major Responsibilities Under supervision of Statistical Project Leader and/or Group Head, contribute to the reliability, scientific quality and optimization of project support from target identification to process development, by providing appropriate Non-Clinical statistical support: Accountable for all assigned statistical deliverables related to one study or activities in the Non-Clinical development area: Perform statistical analyses of data from the laboratories using R and possibly other languages (SAS, ?) or standard statistical software used in Sanofi (JMP, SIMCA, internal tools), to deliver statistical reports/memo Contribute to the development and support of statistical end-user tools (mainly RShiny) Participate to internal working groups and contribute to develop state-of-the art methodologies and statistical approaches Respect Policies, Standards, external guidelines and processes Presentation of statistical work package results to project team members and stakeholders About You Experience: Strong expertise in the field of non-clinical statistics applied to biopharmaceutical development Basic knowledge of pharmaceutical research and development process Scientific rigor and demonstrated level of independence to run statistical work packages For positions supporting Process Development/CMC consider the following: Proven expertise of industrial statistics (descriptive & inferential statistics, statistical process control), design of experiments, multivariate data analysis (PCA, PLS and related methods), statistical modelling and simulation Knowledge of CMC regulatory guidelines (EMA, FDA, ICH Quality, Pharmacopeias), QbD principles and ability to prepare statistical analysis for regulatory dossiers, Use of standard commercial software e-g JMP, SIMCA, MODDE Able to work in departmental computing environment, do advanced statistical analyses using R and possibly other languages (SAS, ?) Soft and technical skills: Excellent interpersonal and communication skills Education: Master in statistics or related discipline Languages: Fluent in English Why choose us Bring the miracles of science to life alongside a supportive, future-focused team, Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally, Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact, Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeksgender-neutral parental leave, Be part of a collaborative team Work for several sites internationally Be involved in crucial statistical activities for the company like in the regulatory dossiers null

We Are: At Synopsys, we drive the innovations that shape the way we live and connect Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content Join us to transform the future through continuous technological innovation, You Are: You are a seasoned professional with a passion for GPU-accelerated systems and algorithm optimization With a strong background in computer science and extensive experience in GPU technologies like CUDA, OpenCL, or ROCm, you excel in designing and implementing high-performance solutions Your expertise in C++ and Python, along with your ability to troubleshoot and collaborate effectively, makes you an ideal fit for this role You are proactive, innovative, and always stay abreast of the latest trends in GPU technology Your ability to lead benchmarking and performance testing initiatives showcases your commitment to delivering optimal solutions for cutting-edge ILT software in the EDA industry, What Youll Be Doing: Optimize existing GPU implementations for ILT software, Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT, Collaborate with cross-functional teams to ensure seamless integration of GPU features, Lead benchmarking and performance testing initiatives, Stay current on GPU technology trends and design the latest advancements into the system, Work closely with customers and hardware vendors to deliver optimal solutions rapidly, The Impact You Will Have: Enhance the performance and efficiency of ILT software through optimized GPU implementations, Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently, Ensure seamless integration of GPU features into existing Mask Synthesis tools, Lead performance testing to ensure the highest standards of software quality, Drive technological advancements by integrating the latest GPU trends into our systems, Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly, What Youll Need: S 6+ years of experience working with GPU-accelerated systems, Proficiency in CUDA, OpenCL, ROCm, or related technologies, Expertise in C++ and Python, Experience in distributed computing environments, Strong troubleshooting and collaboration skills, Who You Are: Innovative and proactive with a keen interest in the latest GPU technologies, Detail-oriented with strong problem-solving skills, Effective communicator who excels in collaborative environments, Dedicated to delivering high-performance solutions and continuous improvement, Adaptable and able to thrive in a fast-paced, dynamic environment, The Team Youll Be A Part Of: You will be part of a highly skilled and collaborative team focused on developing and optimizing GPU-accelerated algorithms for ILT software Our team works closely with other cross-functional teams, customers, and hardware vendors to ensure the seamless integration of GPU features and the delivery of optimal solutions We are committed to staying at the forefront of technological advancements and driving innovation in the EDA industry, Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs Our total rewards include both monetary and non-monetary offerings Your recruiter will provide more details about the salary range and benefits during the hiring process,

At Barclays, we dont just adapt to the future we shape it Embark on a transformative journey as Quant Analytics Treasury Vice President, where you'll spearhead the evolution of our Risk function You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management, To be successful as a Quant Analytics Treasury Vice President you should have experience with: Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation, Model Implementation, IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting, Hands-on/day-to-day working knowledge in the above is must across all levels/seniority, Technology Hand's on recent coding experience (as a full-stack developer / agile developer etc ) Preferable language Python, Python-OOP, C/C++, Version control methods (git, stash, JIRA), Experience in Stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book), Regulators and regulatory frameworks, Stakeholders Model Owners, Audit, Validation, Advanced Technical Degree (Master's / PhD / similar or equivalents) Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics, Some Good To Have Skills May Include Certification GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming, Experience with R, MATLAB, Numerix etc (The role require hands-on in coding as a full stack/agile developer), Database skills, Experience with Stakeholder management, leadership, and decision-making to support business strategy and risk management, You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills, The location of the role is Mumbai, IN There are multiple positions in this requisition, Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise, Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools, Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams, Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them, Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users, Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, Ensure all development activities are undertaken within the defined control environment, Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures, If managing a team, they define jobs and responsibilities, planning for the departments future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions, Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment, Manage and mitigate risks through assessment, in support of the control and governance agenda, Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does, Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies, Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions, Adopt and include the outcomes of extensive research in problem solving processes, Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

Join us as a Senior Model Developer in Treasury and Liquidity Risk at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences, You will be responsible for developing best in class treasury and liquidity models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python OR R OR C++, as well as job-specific skillsets, To be a successful Senior Model Developer in Treasury and Liquid risk you should have experience with: Treasury Models (Deterministic Model) 1 (A) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation, Treasury Models (Statistical Model 1(B) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation Hands on coding experience (as a full-stack developer / agile developer etc Preferable language is Python, C/C++ etc), Hand on experience in Model Development and/or Model Validation (core development experience preferred)/Model Implementation, Experience in IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting, You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills, Job location of this role is Mumbai, Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise, Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools, Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams, Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them, Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users, Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, Ensure all development activities are undertaken within the defined control environment, Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions, Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes, Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues, Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda, Take ownership for managing risk and strengthening controls in relation to the work done, Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy, Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively, Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience, Influence or convince stakeholders to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

JLL empowers you to shape a brighter way . Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involvesShaping the future of real estate for a better worldAt JLL, we see a Brighter Way forward for our clients, our people, our planet, and our communities. With over 200 years of real estate experience, we are, and always have been, in continual pursuit of brighter ways of working. We bring to life see a Brighter Way in all that we do by seeking better, smarter, more innovative ways of working. We approach our work in a warmer, more optimistic, and inclusive way.JLL is a global leader in helping clients envision where people will live, work, play, shop, and eat. What this opportunity involves:We seek a Sustainability Data Analyst to join our team. You will support the sustainability data analyst reporting, data management, platform, compliance and reporting functions for a wide range of assets across JLL. JLLs purpose-driven global sustainability program delivers impact on climate action for sustainable real estate, healthy spaces for all people and thriving communities.We are a rapidly expanding team, and over time we continuously support your growth with development opportunities available within our data and analytics teams. An overview of the role:- Assist the reporting team with insights, analytics, preparing data and presentations.- Assist the team with delivering projects that will enable clients to meet sustainability reporting objectives. - Managing utility(electricity, Natural Gas, water, etc) level data and reporting on consumption, cost and emissions.- Develop a detailed understanding of JLL’s sustainability reporting application and how we support clients in measuring sustainability performance.- Assist the team with client delivery milestones to ensure they are being met. Sounds like youThis is what we are looking for- A passion for Sustainability and pulling together associated Data and Reporting.- Intermediate Excel skills.- Insights, element visualisation, and presenting data.- Excellent communication skills. What you can expect from us:You’ll join an entrepreneurial, inclusive culture. One where the best inspire the best. Where like-minded people work naturally together to achieve great things. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sight and imagine where JLL can take you. As an organisation, we don’t just accept that we are a place of many different people, but we embrace it, we celebrate it, and we proactively support the needs that difference brings. JLL is committed to equal opportunity regardless of race, gender, age, sexual orientation or disability, and that is why, for more than a decade, we continue to rank among the World’s Most Ethical Companies. We are dedicated to offering veterans from all ranks and services a successful civilian career as they transition out of the military. We recognise and appreciate the skills acquired in their service careers as vital and transferable to our workforce. Location On-site –Bengaluru, KA Scheduled Weekly Hours: 40 If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. Candidate Privacy Statement . For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may contact us at Accommodation Requests . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page I want to work for JLL.

Role & responsibilities Job Details: Role: Data Scientist Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: UK Shifts Experience Required: 5+ Years Job Description: This individual contributor role will report to the Data Science Strategy Leader and will build our muscle around prescriptive analytics capabilities in commercial landscape. We are looking for individuals that have experience in one or more of the following focus areas: Strategic pricing optimization Revenue growth management Advanced marketing measurement and optimization Zero- and first-party consumer datasets Demand planning, forecasting and S&OP This role is ideal for candidates who excel at operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions. Responsibilities: Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation) Preferred candidate profile

Visionify.ai is looking for Computer Vision / AI Engineer (Intern) to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail Join our team to help develop and implement computer vision and AI algorithms for safety applications in industrial environments. Requirements: BS/MS in Computer Science, AI, or related field

Mondel z International is looking for R&D Intern to join our dynamic team and embark on a rewarding career journey Assist in various tasks and projects as assigned. Conduct research and gather information. Support team members with administrative duties. Participate in meetings and contribute ideas. Learn about industry practices and company operations. As an organization we are committed to developing the next generation of Makers and Bakers Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow m

Enter and update data into the companys database and systems accurately and efficiently. Verify data for accuracy and completeness. Process and maintain confidential information. Review and correct any discrepancies or errors in data. Collect, clean, and organize data from various sources to ensure accuracy and completeness. Analyze and interpret complex datasets to identify trends, patterns, and insights. Generate reports, dashboards, and visualizations to communicate findings effectively. Collaborate with business units to understand their needs and translate them into data requirements. Develop and implement data models and forecasts to predict future trends. Ensure the integrity and security of company data. Provide information about products, services, policies, and procedures. Identify opportunities for improvement and suggest improvements to enhance the customer experience Stay up to date with the latest industry trends and technologies related to data analytics. Mandatory Key Skills (atleast 1) Excel, Good Communication Industry Type IT Services & Consulting Functional Area Engineering Hardware & Networks Qualification Graduate

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleGroup Strategic Analytics Quantitative Strategist Specialist, AVP LocationMumbai, India Role Description We are seeking a highly motivated and skilled Techno- Functional specialist to join our Market Risk Strats team within GSA. This team comprised of people with technology, front office quant and market risk and methodology experience. This role offers a unique opportunity to bridge the gap between quantitative finance & technology. You will be responsible for leveraging your strong Python programming skills to develop, implement and maintain analytical tools and systems for monitoring and managing market risk. Your deep understanding of market risk metrics will be crucial in translating business requirements into technical solutions and ensuring the accuracy and efficiency of our risk management processes. Our People Our people are outstanding individuals with agile minds, from a diverse range of backgrounds and cultures. They generate fresh ideas and innovative solutions which set us apart from our competitors and add value to our clients. Group Strategic Analytics (GSA) Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Reporting Development (Python)Design, develop, and maintain automated market risk reports, dashboards, and analytics tools using Python and relevant libraries (e.g., Pandas, NumPy, Matplotlib). Market Risk ExpertiseApply a strong understanding of market risk concepts, including VaR, stress testing, sensitivity analysis, and regulatory reporting requirements (e.g. Basel accords, CRR). Control Framework Enhancement (Python)Utilize Python to build and implement data quality checks, monitoring tools, and automated controls to strengthen the market risk control environment. Data ManagementWork with large datasets, ensuring data integrity, accuracy, and timely availability for risk reporting and analysis. Experience with data warehousing and database technologies (e.g., SQL) is a plus. Stakeholder CollaborationPartner effectively with market risk managers, front office trading desks, IT teams, and other relevant stakeholders to understand business requirements and translate them into technical solutions. Process ImprovementIdentify opportunities to streamline existing market risk processes through automation and the application of technology. DocumentationCreate and maintain clear and concise technical documentation for developed reports, tools, and processes. Project ManagementParticipate in and potentially lead projects related to market risk reporting and technology initiatives. Regulatory AwarenessStay abreast of relevant market risk regulations and incorporate them into reporting and control frameworks. Troubleshoot and resolve technical issues related to market risk systems and applications. Participate in system testing, user acceptance testing (UAT) and audit reviews. Your skills and experience Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or a related discipline. Minimum of 8-10 years of experience in a market risk role within a financial institution. Strong proficiency in Python programming with hands-on experience in developing data-driven applications, reports, and analytics. Solid understanding of market risk methodologies, models, and metrics. Experience with financial data vendors and APIs. Excellent analytical, problem-solving, and quantitative skills. Strong communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced environment. Familiarity with database technologies (e.g., SQL) is desirable. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role : Job Title- Risk Analyst, NCT Location- Mumbai, India Role Description Market Risk Management (MRM) provides an independent view of market risks to Deutsche Banks senior management and manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organisational matrix supported by central functions. Functionally the team is organised as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics using Historical Simulation, provision of analysis and commentary across all relevant risk metrics Strategic Production FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities This role focuses on a number of activities across Metric Production and Analysis , Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. The primary responsibilities will be: Risk feed validation, mapping and related control Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level Generation and review of critical risk reports across different risk metrics VaR/ SVaR, EC, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Your skills and experience Grad/post-grad degree. Qualified in a numerate discipline (Engineering/Maths/Statistics) will be plus. Strong understanding of financial markets, products, derivative pricing, and methodology Excellent communication skills ability to articulate technical and financial topics with global stakeholders A reliable team player with the motivation to work in a dynamic, international and diverse environment. A committed and motivated individual for self-development and growth Keen interest in various risk frameworks and how they are interconnected for banks capital Basic experience in using large datasets with experience in relevant software packages, e.g. MS Excel, MS Access, VBA, and SQL. Experience with additional programming languages is a plus, e.g. Python, Matlab, R, or C++. Knowledge of coding in Python and SAS tool useful Able to multi-task and deliver under tight deadlines Able to work different shifts Benefits: This is an exciting opportunity to work in a diversified role with exposure to global stakeholders and multiple business lines, including investment and commercial bank exposure. The team is a small, highly skilled group with a flat and globally aligned hierarchy. As part of the Deutsche Bank Risk Division this team has access to the industrys state-of-the-art risk management models. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Title: Transport Modeller Company Name: iCRC Job Description: As a Transport Modeller at iCRC, you will be responsible for developing and implementing transport models to analyze and optimize transportation systems and infrastructure. Your role will involve using various modeling techniques to evaluate traffic patterns, forecast demand, and assess the impact of transport policies. You will collaborate with multidisciplinary teams to provide data-driven insights that inform planning and decision-making processes. Key responsibilities include collecting and analyzing transportation data, developing simulation models, conducting scenario analysis, and presenting findings to stakeholders. Skills Required: - Strong analytical and problem-solving skills - Proficiency in transport modeling software and tools - Excellent knowledge of transportation theory and practice - Experience in data analysis and statistical modeling - Ability to work collaboratively in a team environment - Effective communication and presentation skills - Attention to detail and strong organizational abilities Tools Required: - Transport modeling software (such as VISUM, VISSIM, Synchro, SIDRA and HCS) - Geographic Information Systems (GIS) tools - Data analysis tools (such as Excel, R, or Python) - Presentation software (such as PowerPoint or similar) Join iCRC as a Transport Modeller and contribute to enhancing transportation efficiency and sustainability through innovative modeling solutions.

Job Type - Third Party Payroll Payroll Company Name - Randstad Digital Position - Data Analyst Experience - 1+Years Location - Chennai only Notice Period - Immediate to 15days Interview Type - Virtual (Final Round Face2Face Interview) Work Mode - 5 days office Key Skills - Python, SQL, R Programing If you're interested, kindly share your updated resume and the following details to this below email ID or LinkedIn Email Id: gayathri.nambi@randstaddigital.com LinkedIn: https://www.linkedin.com/in/gayathri-alagia-nambi-0827921a5/ Full Name: Pan Number: Experience: Relevant Experience: Notice period: CTC: Expected CTC: Current company: Payroll Company: Location: Preferred location: Offer in hand : (Y/N) Reason for Job Change: What we are looking for: Essential At least 1-2 years experience in data analytics, data science, business intelligence, consultancy, or research Minimum of a Bachelors degree in Computer Science / Software Engineering / Maths / Physics or equivalent numerate qualification Experience with common data analytics software and programming languages (R, Python and SQL) and proven experience in analysing complex data sets Experience of working with Big Data would be advantageous as is the ability to manipulate, model and analyse diverse datasets for use with analytics techniques Excellent interpersonal skills and good command of English verbal and written communication Demonstrable ability to work under pressure and manage several tasks simultaneously A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines Strong stakeholder management is required in this role, and confident presentation skills for internal and external audiences Proficiency in written and spoken English Desirable Experience using datasets in natural language processing (NLP) would be an advantage Comprehensive understanding of the maritime industry and an established network of contacts in the maritime industry Ability to compile concise training methodology and to simplify the complex, and to tailor your delivery to all types of audiences is desirable Direct customer interactions, in a B2B environment Experience from an online solution, analytics and subscription business Innovative and dynamic approach to problem-solving and proven success in implementing data, research and content improvements Experience mentoring junior colleagues or peers, and delivering technical training would be highly advantageous

Job Description: Business Analytics Lead - Sales & Distribution Location: Gurgaon Department: Growth / Strategy / Distribution Type: Full-time Experience: 3+ years of relevant experience in Business Analytics and insights, preferably in FMCG Sales & Distribution About Badho: Badho Technologies is a leading B2B platform in the FMCG sector, helping brands, distributors, and retailers enhance their distribution channels through technology-driven solutions. About the Role Were looking for a Business Analytics Lead who is an expert in FMCG Sales & distribution, and who can drive meaningful insights from data to strengthen our retail-distributor ecosystem. This role will be pivotal in accelerating transactions between retailers (or buyers), and distributors (or sellers) through data-driven strategies, onboarding efficiency, and actionable field insights. Key Responsibilities Insights & Opportunity Identification Analyze retailer behavior, buying trends, and distributor activity to identify challenges and business opportunities. Generate strategic insights to improve the number of online orders between retailers and distributors. Data-Driven Distributor Onboarding Use data from sales logs, and campaign performance to identify high-potential distributor clusters. Collaborate with marketing and field teams to run targeted online and offline onboarding campaigns. Process Optimization Partner with operations and sales teams to streamline the distributor onboarding journey. Recommend Sales processes, tools, dashboards, or automations to improve speed and effectiveness of sales-distribution cycles. Identify low-efficiency areas in the S&D funnel and suggest solutions for faster activation. Cross-Team Collaboration Work closely with marketing, sales, product, and field ops to ensure alignment on distributor strategy. Help field teams with real-time insights and geo-based intelligence to focus their efforts better. What We’re Looking For 3+ years of experience in analytics, sales strategy, or distribution strategy roles (FMCG, retail-tech, B2B preferred) Strong experience in SQL, Python, R, Excel, BI tools (Looker, PowerBI, Tableau) Comfortable working with large datasets and visualizing insights clearly Exposure to GT/MT/FMCG distribution networks is a strong plus Experience working with cross-functional teams, especially marketing and sales Why Join Us Be part of a high-growth team focused on transforming India’s retail distribution space Work at the intersection of data, strategy, and field execution Make a measurable impact in driving transactions and scaling partnerships across regions Competitive salary and performance-based incentives.

Position Title : Data Science Trainer Company : TeksAcademy Location : Hyderabad Employment Type : Full-Time (Onsite) About the Role: Were looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, youll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making. Key Responsibilities: Conduct Data Science Training : Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more. Create and Curate Course Materials : Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards. Facilitate Hands-On Learning : Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques. Assess and Provide Feedback : Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills. Stay Current with Trends : Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses. Provide Mentorship : Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work. Collaborate and Improve : Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results. Required Qualifications: Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience : Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL. Teaching Experience : Proven track record of teaching or training in a technical field, especially data science, either online or in-person. Technical Expertise : Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Data Analysis, SQL, R, Python, Tableau, Power BI,

Data Analysis, Power BI, Tableau, SQL, R, Python

Overview The Gen AI engineer will be part of a team which designs, builds, and operates the AI services of Siemens Healthineers (SHS). The ideal candidate for this role will have experience with AI services. The role will require the candidate to develop and maintain artificial intelligence systems and applications that help businesses and organizations solve complex problems. The role also requires expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Task and Responsibilities: Generative AI Engineer is responsible for designing, architecting, and development of AI product/service. The main responsibilities include: Designing, developing, and deploying Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions. Collaborating with cross-functional teams, such as data scientists, business analysts, and developers, to design and implement AI solutions that meet business requirements. Building and training machine learning models using Azure Machine Learning, and tuning models for optimal performance. Developing and deploying custom AI models using Azure Cognitive Services, such as speech recognition, language understanding, and computer vision. Creating data pipelines to collect, process, and prepare data for analysis and modeling using Azure data services, such as Azure Data Factory and Azure Databricks. Implementing data analytics solutions using Azure Synapse Analytics or other Azure data services. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications: Overall 5+ years combined experience in IT and recent 3 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful AI Services. Experience with cloud computing technologies, such Azure. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus. Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders. Technical skills Proficiency in programming languages: You should be proficient in programming language such as Python and R. Experience of Azure AI services: You should have experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Data handling and processing: You should be proficient in data handling and processing techniques such as data cleaning, data normalization, and feature extraction. Knowledge of SQL, NoSQL, and big data technologies such as Hadoop and Spark are also beneficial. Experience with Cloud platform: You should have a good understanding of cloud computing concepts and experience working with Azure services such as containers, Kubernetes, Web Apps, Azure Front Door, CDN, Web Application firewalls etc. DevOps and CI/CD: You should be familiar with DevOps practices and CI/CD pipelines. This includes tools such as Azure DevOps & Git. Security and compliance: You should be aware of security and compliance considerations when building and deploying AI models in the cloud. This includes knowledge of Azure security services, compliance frameworks such as HIPAA and GDPR, and best practices for securing data and applications in the cloud. Machine learning algorithms and frameworks: Knowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn is a plus.

Your tasks and responsibilities: You manage and extend our pool of MRI training and validation data. You ensure compliant data ingestion from customers, collaboration partners, and internal teams. You organize and store data efficiently and implement quality control measures for data. You establish Standard Operating Procedures for data handling and storage within the organization. You ensure data integrity and accessibility for machine learning projects. You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals. You work closely with our scientists and engineers to train, evaluate, and improve ML models. You perform tests and scientific evaluations on our data. You support regulatory submission processes by delivering data management specifications. To find out more about the specific business, have a look at Magnetic Resonance Imaging Your qualifications and experience: You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar. You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare. You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++ You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage. You are familiar with ensuring data integrity and accessibility for advanced ML projects. You have knowledge of statistical modeling and methods and regulatory requirements in data management. Your attributes and skills: Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required. We win together - that's why you are proactively committed to delivering the best possible solutions to our customers You present your ideas and results confidently and convincingly in cross-functional development teams Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness The highest quality standards in product development are a matter of course for you

Youll make a difference by: You will work closely with the Quality Manager in implementing and driving the Quality Management System for the organization. Coordinating with the business and supporting audits for multiple systems standards. Support in administration of quality, process and business improvements and systematically inspect and examine quality system gaps for the business lines. Work with business to identify improvement areas and solutions. You will support and guide the business in efficient process / operations management techniques and quality tools as required (Problem solving, Risk analysis, FMEA, RCA, etc.) Conducting data analysis & preparing dashboards, interpreting patterns and trends in data sets for all OPE related topics. You will be part of internal auditors/quality coordinators group to support Quality Management requirements, and support business with bridging the gap in requirements of ISO and internal standards. Your success is grounded in: Experience in Quality Management Systems and Business Continuity Management System audits. Experienced in RCA and CAPA for issue management and audit findings. Experienced in coordinating and supporting implementation of multiple process improvement projects. Experience in analyzing, modeling, and interpreting large data sets for diagnostic and predictive analysis. Experience in implementing End to End process improvement projects. Exposure to working in International projects and comfortable with international cultural diversity. Excellent communication, interpersonal, coaching/mentoring and collaboration/influencing skills. Able to read/interpret electrical circuit diagrams. Proven Understanding of Microsoft Office. ISO 9001 2015 QMS trained or certified. LSSBB (Lean Six Sigma Black Belt) Certified or Trained. Trained in Power BI, Minitab, R, Tableau, Python, SQL and other data analytics tools preferred. Knowledge of Tools for Project Management, Metrics, Dashboards. Knowledge of ISO 14001, ISO 45001 and ISO 27001 would be a plus.