job requisition idJR1027352 Job Summary Synechron is seeking an analytical and innovative Senior Data Scientist to support and advance our data-driven initiatives. The ideal candidate will have a solid understanding of data science principles, hands-on experience with AI/ML tools and techniques, and the ability to interpret complex data sets to deliver actionable insights. This role contributes to the organizations strategic decision-making and technology innovation by applying advanced analytics and machine learning models in a collaborative environment. Software Required Skills: Python (including libraries such as pandas, scikit-learn, TensorFlow, PyTorch) proficiency in developing and deploying models R (optional, but preferred) Data management tools (SQL, NoSQL databases) Cloud platforms (preferably AWS or Azure) for data storage and ML deployment Jupyter Notebooks or similar interactive development environments Version control tools such as Git Preferred Skills: Big data technologies (Spark, Hadoop) Model deployment tools (MLflow, Docker, Kubernetes) Data visualization tools (Tableau, Power BI) Overall Responsibilities Analyze and interpret large and complex data sets to generate insights for business and technology initiatives. Assist in designing, developing, and implementing AI/ML models and algorithms to solve real-world problems. Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate models into production systems. Stay current with emerging trends, research, and best practices in AI/ML/Data Science and apply them to ongoing projects. Document methodologies, modeling approaches, and insights clearly for technical and non-technical stakeholders. Support model validation, testing, and performance monitoring to ensure accuracy and reliability. Contribute to the development of data science workflows and standards within the organization. Performance Outcomes: Accurate and reliable data models that support strategic decision-making. Clear documentation and communication of findings and recommendations. Effective collaboration with technical teams to deploy scalable models. Continuous adoption of best practices in AI/ML and data management. Technical Skills (By Category) Programming Languages: Essential: Python (best practices in ML development), SQL Preferred: R, Java (for integration purposes) Databases/Data Management: SQL databases, NoSQL (MongoDB, Cassandra) Cloud data storage solutions (AWS S3, Azure Blob Storage) Cloud Technologies: AWS (S3, EC2, SageMaker, Lambda) Azure Machine Learning (preferred) Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost Development Tools & Methodologies: Jupyter Notebooks, Git, CI/CD pipelines Agile and Scrum processes Security Protocols: Best practices in data security and privacy, GDPR compliance Experience 8+ years of professional experience in AI, ML, or Data Science roles. Proven hands-on experience designing and deploying ML models in real-world scenarios. Demonstrated ability to analyze complex data sets and translate findings into business insights. Previous experience working with cloud-based data science solutions is preferred. Strong portfolio showcasing data science projects, models developed, and practical impact. Alternative Pathways: Candidates with extensive research or academic experience in AI/ML can be considered, provided they demonstrate practical application of skills. Day-to-Day Activities Conduct data exploration, cleaning, feature engineering, and model development. Collaborate with data engineers to prepare data pipelines for model training. Build, validate, and refine machine learning models. Present insights, models, and recommendations to technical and business stakeholders. Support deployment of models into production environments. Monitor model performance and iterate to improve effectiveness. Participate in team meetings, project planning, and reviewing progress. Document methodologies and maintain version control of codebase. Qualifications Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or a related field; Masters or PhD highly desirable. Evidence of relevant coursework, certifications, or professional training in AI/ML. Professional certifications (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified Data Scientist) are a plus. Commitment to ongoing professional development in AI/ML methodologies. Professional Competencies Strong analytical and critical thinking to solve complex problems. Effective communication skills for technical and non-technical audiences. Demonstrated ability to work collaboratively in diverse teams. Aptitude for learning new tools, techniques, and technologies rapidly. Innovation mindset with a focus on applying emerging research. Strong organizational skills to manage multiple projects and priorities.

CME Group is the leading exchange and clearing house for listed products. In its unique position as the most diverse clearing house, it is in the forefront of the clearing of OTC products, which is mandated by the financial reform. CME group has an immediate opening for a Pricing & Valuation Associate for cleared OTC products. The immediate focus of this role will be the daily pricing of cleared OTC products such as Interest Rate Swaps, Credit Default Swaps, FX, and Energy and answering client queries. The incumbent would also have to front run some of the strategic new product launch initiatives. She/He should be able to manage a small team of P&V analyst and should have prior experience liaising with teams spread across different geographical locations. Excellent interpersonal and communication skills are essential for this role. Primary Responsibilities & Tasks Includes: EOD Settlement of cleared OTC products Responsible for managing EOD reporting for OTC products Handling system related issue Working with IT teams to resolve the vendor data feed issues Ability to independently respond to inquiries from members and clients. Ability to put in place reconciliation processes and automate manual practices Ability to conduct research and present to Sr. Management. Qualifications / Experience: Should have around 3- 5 years of direct experience in IRS, CDS, FX, or Energy. Prior experience of OTC Settlements and Pricing/Valuation methodologies. Ideal candidate will have a broad knowledge of derivatives and fixed income securities. Who knows curve construction methodology for IRS products Should have basics of valuation (curve bootstrapping) Strong communication skills including strong presentation skills. Experience with Reuters Eikon and Bloomberg Terminal. In-depth knowledge of complex financial products. Certifications like MBA finance, CFA, CQF, FRM, PRM preferred . Skills/ Knowledge: Exceptional Excel / PowerPoint and written / verbal skills Strong quantitative, technical and analytical skills Results oriented ownership mindset Ability to multi-task and work under high pressure deadlines Ability to work cross-functionally with global Ops/IT teams. Exposure to skills VBA, Python, Tableau, R and Matlab are preferred. Basic experience with databases such as SQL and Oracle, data cleansing methodologies, and data transfer processes. curve bootstrapping or curve construction for IRS products

The Senior Analyst - MI COE role requires an experienced designer of data visualizations and complex reporting with a strong understanding of the Financial metrics and how they influence business performance. The Senior Analyst MICOE would be supporting the BI Product Manager Falcon in Touchless MI agenda for Lubricants projects by understanding the Business requirements and delivering the solutions as per expectation. Position description - Accountabilities Swift understanding of the business model, expectations from business, linking it to the business strategy and the way KPIs are measured. Creative in building visualizations in Microsoft Power BI and SharePoint in the best possible way to derive. Facilitate design review sessions with key stakeholders to refine and elaborate the data visualizations. Work on validation and testing to ensure it meets the requirements. Creates the design specification, deployment plans and other technical documents for respective design activities. Support to troubleshooting problems, providing workarounds etc., Estimates the magnitude and time requirements to complete all tasks and provides accurate and timely updates to the team on progress. Ensure on time, high quality deliverables and meeting project milestones and deadlines (Project Plan On A Page) with minimal supervision. Assists and mentors other team members in the business application, development technologies etc., Participates in peer review of work products such as code, designs, and test plans produced by other team members. Run and Maintain the tools. Work on change management for tools. Ensure IRM compliance of tools, maintain evidence for the user access management and support any system audit. Individual displaying strong personal effectiveness particularly in stakeholder management and analytical skills. Working in a Global and Cross cultural environment to be able to coach, motivate other team members. Required Skills & Experience 5-7 years in a role developing BI tools and data Expert knowledge of Power BI, familiarity with Power Platform Background in Financial Reporting is preferred Exceptional data modelling skills, especially harmonizing across diverse data sources. Demonstrated experience developing end to end data flow structures, resulting in intuitive BI dashboards with high uptake. Must be an analytical thinker, with a strong design sense, and understand implications of the various design options available for a given visualization. Candidates should be results driven, detailed orientated and work well within a dynamic and creative team. Candidates should have proven ability to work with end users to refine identified business needs through in-depth design reviews and information sessions. Possess good written and oral communication skills as well as presentation skills. Ability to learn quickly and adapt to new environments. Technical Skills Global reporting system exposure (GSAP, GPMR, HANA & ECC). Data modelling skills via: Alteryx, python, SQL Data extraction through SQL. Coding skills would be a plus (Python, VBA, R, etc.). - Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

Overview Prodapt Solutions is looking for a Business Analyst with telecom domain experience. *Should have handson in Lead to Cash journey - Processes and Systems for Cellular Mobile service for Enterprise or End to End VPN service for Enterprise, Non-Terrestrial Network, Cloud PBX stacks. *Should have solid understanding on different Service Fulfilment journey metrics. *Should have solid understanding of different BSS and OSS applications that support Lead to Cash journey. *Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects. Responsibilities *Following OSS/BSS applications knowledge is mandatory - CRM, Product Catalog, Order Orchestration, Inventory management (Service inventory/Physical inventory), Provisioning & Activation system, Element Management System, Engineering workflow management. *Following Network OSS applications knowledge is desirable - Network Monitoring System, Test & Diagnostics application, Network performance management (monitoring, collecting data, reporting), Incident and Change management system. *Good knowledge on different CRM/BPM systems is mandatory. Knowledge on SalesForce, SNOW is desirable. *Should be able to evaluate internal functions, systems, business strategies and IT processes to find improvements that support Telco service provider’s future CRM strategies and goals. *Ability to use telecom, IT and enterprise architecture best practice methodologies, processes, functions, and data maps. *Technical specialist skills in software design and implementations, with experience of cloud and on-premises systems architecture *Accountable for ensuring project delivery of multi-domain BSS/OSS solutions. Ability to define and articulate complex architectures to non-technical stakeholders. *Produce and support the production of High Level Designs, Low Level Designs, test plans, Deployment Guidelines and TTO`s. *Work in cross-functional delivery teams including partners and vendors to support delivery throughout the delivery lifecycle and ensure solutions are delivered into production on time and meet the operational acceptance criteria. *Work closely with Network Design, Systems Development, Testing team, E2E Solution Architects, Operations teams. *Knowledge on APIs, Frameworx, Microservices, UML, TOSCA, NetConf/YANG, CI/CD, REST/Webservices, JSON, Postman, Agile Development is needed. *Knowledge on P/S/R catalog and specifications is desirable. Ability to work with stakeholders to create and define problem statements and root cause analysis Create and gather requirements from stakeholders, draw process diagrams, write user stories, ensuring documentation is complete, understandable, and unambiguous Validation of the documentation with stakeholders Capture and report back essential information from meetings Familiar with Agile principles and in using JIRA or ServiceNow SPM tool knowledge Use of collaboration and presentation tools like Mural Minimum Educational LevelBachelor Degree Min Experience (Years):5 Max Experience (Years):12

Minimum 3-4 years of relevant experience in building robust and scalable design Proficiency in UX design tools such as Figma, Sketch, Adobe XD, or InVision for creating wireframes, prototypes, and user flows. Ability to create and interpret personas, user journey maps, and task analysis to inform design decisions. Proficiency in designing intuitive, accessible, and responsive interfaces that comply with WCAG accessibility standards.

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Position Summary Job Responsibilities NA Education BE/B.Tech Master of Computer Application Work Experience Total 10+yrs. And Minimum of 6 years of relevant experience in product development . Experience in leading a team of technical team members Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Position Summary To lead building high-performing, scalable, enterprise-grade applications with implementation of business rules. Job Responsibilities Lead a team of 2-4 development members. Design scalable and flexible business rules frameworks for the team to work on. Design and develop new and enhanced functionality in the Strategic Decision Making modules Explore and select existing business rules frameworks and software tools that can be leveraged for providing the solution Design the implementations for such frameworks or similar engine(s) and integrate them with existing Force.com platform based applications Hands on design and development of technical artifacts Create HLD and assist the team in creating LLDs. Guide the team to perform optimally by scheduled code reviews and feedbacks. Education BE/B.Tech Master of Computer Application Work Experience Total12yrs. And Minimum of 6 years of relevant experience in leading a team of technical team membersToal 15yrs. And Minimum of 9 years of relevant experience in leading a team of technical team members Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Position Summary The Technical Instructional Designer is expected to define and document learning objectives, conduct research, and collaborate with subject experts, create/update instructional materialcourses, curriculum, student guides and training manuals. Job Responsibilities Training DevelopmentProduce meaningful product specific training materials for internal and external audiences that spans a wide range of technical users, Perform iterative updates to existing training material across the product platform, Write effective copy, instructional text, audio scripts/video scripts, Create visual, audio, and interactive learning solutions, Ability to skim through available technical content and identify opportunity for reuse Course design and/or planningAbility to create learning and instructional models that can be divided into courses, curriculum, student guides, and training manuals, Maximize adult learning methods, streamlining the structure and optimizing the course time for all training material, Excellent knowledge of learning theories and instructional design models Rapid Authoring tools (Articulate, Captivate), Video and audio editing (Camtasia, Adobe Creative Cloud tools like Premiere Pro, Photoshop, Illustrator), Experience with authoring and managing courses in an LMS. Understanding of tools used to create courses and trainings, Solid knowledge of course development software and at least one Learning Management System, Provide methods to track, plan, and create instructional content in an eLearning environment Education BE/B.Tech Master of Computer Application Work Experience The successful candidate must have a minimum of 4-years’ experience designing and creating professional technical product training content to optimize eLearning experiences. Technical writing and content Management experience for customer training purposes is a plus but is not required. Capable of managing and updating training content across multiple products. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Technical Competencies Problem Solving Communication Capability Building / Thought Leadership

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Strong proficiency in Advanced SQL with experience in writing optimized queries for large datasets. Mandatory skill : Data Analyst, Python ,SQL, Power BI Exposure in, including predictive modeling and machine learning techniques. Required Candidate profile Hands-on experience with Python, R, or similar analytical tools is a plus. Familiarity with cloud platforms such as AWS, Azure, or GCP for data processing and analytics.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 0 to 10 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 2 to 4 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is a company of inventors that ushered in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. Over the last few decades, the Wireless Systems group at Qualcomm has been instrumental in driving the mobile communication revolution which has touched every aspect of our modern life. The Wireless Research and Development (WRD / Systems Engineering) team of Qualcomm-India is looking for individuals who are passionate about system design and can work closely with HW, SW, and test teams to deliver end to end solutions. The role requires ability to conceptualize new algorithms that will go into WWAN / WiFi / BT chipsets and standards, propose implementation details, evaluate performance benefits, and analyze and diagnose system level issues across RF/HW/SW boundaries. Successful

Job Area: Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment"”someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us End-to-End Impact Work on the full analytics cycle"”from data extraction to insight generation"”driving meaningful HR and business decisions. Collaboration at Scale Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred: Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Job Overview In this highly cross functional role, you will be part of the Global Design Enablement team responsible for various aspects of PDK development across Custom, Analog and RF technology nodes. As a member of the CAD team, you will be working closely with Custom, Analog & RF Engineering design community to develop & support customized tools and flows for Schematic & Layout design, Circuit Simulation, IP characterization, Custom/Analog P&R and transistor-level EM/IR flows. You will also have the responsibility to collaborate with our Foundry and EDA partners to deploy best-in class EDA tools and flows in addition to developing in-house productivity & QoR automation solutions for improving overall design methodology. Minimum Qualifications Bachelors or masters in electrical engineering, Computer Science, or related field. 6+ years of industry experience in CAD/EDA or PDK development Knowledge of Virtuoso suite of tools- Schematic, Layout, Analog Design Environment etc. Proficiency in one or more of the programming/scripting languages- , Python, Perl and TCL. Good understanding of CMOS fundamentals and Circuit Design Concepts Strong aptitude for programming and automation Good communication skills and ability to work collaboratively in a team environment Preferred Qualifications Familiarity with SPICE simulation tools (Hspice, SpectreX/APS, AFS/Solido SPICE , PrimeSim SPICE, ADS, GoldenGate etc.) Experience with Electromagnetic tools, like Peakview and EMX, is a plus. Knowledge of FinFet & SOI processes is a plus Educational RequiredBachelor's, Electrical Engineering

We are looking for a results-driven professional to join our team. The role involves partnering with clients to drive improvements in cash flow and operational efficiency. The ideal candidate will bring analytical expertise, hands-on execution ability, and a passion for delivering measurable outcomes. Key Responsibilities: Manage and execute client assignments focused on improving working capital performance. Craft and implement practical solutions aimed at increasing liquidity, optimizing inventory, and improving collections and payment processes. Conduct detailed assessments of clients financial and operational metrics to identify working capital improvement opportunities. Collaborate closely with client stakeholders to understand their priorities and deliver tailored recommendations aligned with their strategic goals. Provide ongoing support to project teams throughout the full lifecycleplanning, analysis, solution development, and implementation. Build and maintain trusted relationships with clients to ensure satisfaction and encourage long-term engagement. Assist with business development efforts by identifying new opportunities and helping prepare client proposals and presentations.

We are looking for a manager to join in the working capital team. Considering the pace of targeted growth, we are keen to find a person who is entrepreneurial, driven by a passion to drive significant growth, is comfortable with ambiguity, will roll up the sleeves and be hands on to get things done and can be independent requiring limited cover. Key responsibilities: • Execute projects focused on optimizing working capital for clients • Design and implement strategies to enhance cash flow, decrease inventory levels, and streamline accounts receivable and payable processes Evaluate clients' financial and operational data to spot opportunities for working capital enhancement • Work closely with clients to grasp their business goals and customize solutions to align with their specific requirements Offer support to other team members throughout the project, from planning and execution to successful implementation Foster strong, long-lasting relationships with clients to achieve high satisfaction and retain their business Contribute to business development by spotting new opportunities and assisting in proposal creation

Key Responsibilities: Assist with the design and execution of research projects Collect, organize, and analyze data using various research methodologies Prepare and review research documents, reports, and presentations Conduct literature reviews and summarize relevant research articles Collaborate with other team members and researchers to facilitate research activities Ensure the quality and accuracy of research data and findings Support researchers in experimental tasks and lab work (if applicable) Qualifications: Education: BE/B.Tech (Recent Graduates) or relevant degree Experience: 0-1+ year(s) of experience in research projects Skills: Strong analytical and problem-solving skills Familiarity with data analysis software (e.g., MS Excel, MATLAB, Python, or R) Excellent communication skills (both verbal and written) Ability to work independently as well as part of a collaborative team Attention to detail and ability to manage time effectively

Required Skills Technology | Cisco R and S Network Expert - Level 3 Support Technology | Cisco ACI Expert - Level 3 Support Technology | Fortigate SDWAN Expert - Level 3 Support Technology | Cisco DNAC Expert - Level 3 Support Technology | Viptella SDWAN Expert - Level 3 Support Technology | Riverbed SDWAN Administrator - Level 2 Support Education Qualification : Engineer - B.E / B.Tech / MCA Certification Mandatory / Desirable : Technology | Expert Level Certification - NSE7 / CCIE-Data Center / DNAIE / ENSDWI Delivery Skills: 1. Technology Management: Responsible for overall network technology management for the business. Responsible for planning and execution of new technology roll outs, scope expansion and readiness of team from technology standpoint. Manage SOPs, Knowledge documents, KB articles. Implement technical methodology improvement from past failures and learnings. 2. Restoration and Resolution: Identify the network issue based on troubleshooting and decide on the actions required to be implemented for resolving the issue. Refer to required KEDB or Knowledge bases for known issues/repetitive issues and resolution steps. Implement the resolution steps, execute, validate and update ticket with steps taken and outcome. 3. Triage: Once the resolution steps are completed if the issue is still not resolved or if it s an unknown issue and standard troubleshooting methods did not resolve the issue, escalate the ticket to L3 Network SME and support the troubleshooting process, if there is a bridge, continue on the bridge along with the SME. This support includes coordination with 3rd party network vendor technicians. 4. Process Compliance: - Gather information from vendor, customer, analysis from the troubleshooting/investigation, resolution steps implemented etc. and update the tickets regularly, as per the defined process. - Prepare a detailed report on the plan of action for the existing tickets for the next shift andengineer (Shift Handover Report). - Followthrough and execute the various Escalation Matrix (Vendor , Internal and Customer defined). - Ensure tickets are closed post user/customer communication. - Constantly track tickets for SLA adherence and escalate on deviations as defined in the process. 5. Value Proposition: Understand the existing environment and propose any opportunity of improvement. Look at nagging issues in the environment and come out with Get Around solutions by working with vendors and industry experts

Job Summary Person at this position has gained significant work experience to be able to apply their knowledge effectively and deliver results. Person at this position is also able to demonstrate the ability to analyse and interpret complex problems and improve change or adapt existing methods to solve the problem. Person at this position regularly interacts with interfacing groups / customer on technical issue clarification and resolves the issues. Also participates actively in important project/ work related activities and contributes towards identifying important issues and risks. Reaches out for guidance and advice to ensure high quality of deliverables. Person at this position consistently seek opportunities to enhance their existing skills, acquire more complex skills and work towards enhancing their proficiency level in their field of specialisation. Works under limited supervision of Team Lead/ Project Manager. Roles & Responsibilities Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes. Responsible for customer collaboration and interactions and support to customer queries. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Education and Experience Required Engineering graduate, MCA, etc Experience: 2-5 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Technology Standard- NA Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS.