Delivery Processing Jobs in Bengaluru

Service Delivery Executive Department: Unitary Service Location: Bengaluru Job Purpose The Service Delivery Executive is responsible for ensuring high-quality service delivery and achieving revenue targets through effective management of service operations and channel partners. This role focuses on preventive maintenance, complaint resolution, and maintaining a high Customer Satisfaction Index (CSI). Key Responsibilities Complaint Management: Monitor open service complaints and ensure timely closure according to SLAs. Revenue Generation: Achieve financial targets through AMC, spare parts sales, and specialized service offerings. Quality Assurance: Adhere to preventive maintenance schedules and conduct regular service quality audits. Data Management: Maintain accurate customer information and end-user data within the internal systems. Customer Engagement: Drive proactive engagement to resolve concerns and improve the Customer Satisfaction Index (CSI). Partner Operations: Manage invoice processing, defective spare returns, and warranty claims from channel partners. Market Feedback: Collect and report competitor insights and market trends to HQ. Process Implementation: Ensure all channel partners adhere to standard systems and processes for smooth operations. Key Skills & Competencies Strong knowledge of UCPG products and service offerings. Technical expertise in service operations and channel management. Proficiency in vendor and dealer management. Strong negotiation, presentation, and interpersonal skills. Qualifications & Experience Education: Diploma or B.E. in a relevant discipline. Experience: 3 8 years in Service Delivery, Customer Support, or related roles. Qualification : Diploma or B.E. in a relevant discipline

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Manager Operations Location: Bengaluru Employment Type: Full-Time About the Role: We are looking for an experienced and forward-thinking Manager Operations to lead campus operations for Brookfield Properties in Bengaluru. The ideal candidate will bring over 10 years of experience in hospitality or real estate operations, with a proven track record of managing cross-functional teams, optimizing performance, and delivering best-in-class tenant experiences. As the operational lead for one or more campuses, you will oversee end-to-end property management, facilities operations, P&L oversight, vendor management, and customer-facing services. You will be expected to align operations with the Converge vision and drive strategic initiatives that enhance the campus environment, boost revenue, and ensure exceptional service delivery. Key Responsibilities: 1. Strategic Operations & Financial Management Develop and manage annual operating budgets; monitor P&L performance for campus/city-level operations. Work cross-functionally with leasing, marketing, tech, training, and transformation teams to execute activations and campus amenities. Lead cost optimization initiatives through preventative maintenance, energy management, and vendor negotiations. Explore new revenue streams through managed services, retail leasing, and partnerships. Support leasing of office and retail spaces in alignment with business plans. 2. Campus Operations & Experience Ensure seamless day-to-day campus operations in line with Converge standards. Implement strategies to enhance lobby, F&B, retail, and event experiences. Create and track SLAs, management reports, vendor agreements, AMCs, and compliance documentation. Conduct regular audits, walkthroughs, and cross-functional reviews to maintain high service and aesthetic standards. Plan and execute campus activations, including one marquee event annually. Partner with the marketing team to ensure alignment on all events and space-on-hire activities. Collaborate with procurement to ensure timely PO processing and vendor payments. 3. Team Leadership & Collaboration Lead campus teams including operations, F&B, tenant engagement, and event staff. Develop KPIs and implement SOPs to drive efficiency, service excellence, and staff performance. Champion a culture of continuous improvement, learning, and innovation. Guide onboarding/training of new staff across operational functions. Collaborate with corporate, city leadership, and transformation teams on strategic execution. 4. Tenant & Community Experience Work closely with tenants to enhance employee engagement and create a vibrant campus culture. Lead execution of tenant engagement surveys and act on feedback for service improvements. Support onboarding of tenants and amenities onto the Converge app and drive digital engagement. Design operational procedures to ensure consistent, high-quality tenant experiences. Encourage team involvement in delivering excellent customer care and personalized service. 5. Compliance, Safety & Sustainability Ensure adherence to fire safety, health, environmental, and legal compliance standards. Lead internal and external audits across all operational areas. Champion sustainability practices and social responsibility initiatives across the campus. Oversee maintenance and service infrastructure to ensure optimal functionality and safety. Who You Are: A strategic thinker with strong commercial acumen and customer-centric approach. A self-starter with the ability to lead autonomously and make sound business decisions. A strong communicator and collaborator who can manage multiple stakeholders and priorities. Resilient under pressure, detail-oriented, and driven to deliver high-impact outcomes. Passionate about elevating workplace experiences and building thriving communities. Preferred Qualifications: Bachelor's degree (minimum 3 years); specialization in Hospitality, Property, Facilities Management, or Business is preferred. 10+ years of experience in operations leadership within hospitality, real estate, or facilities sectors. Demonstrated success in leading large cross-functional teams. Strong client relationship management and vendor negotiation skills. Proven experience in driving operational excellence and process improvements. This Role Offers: The opportunity to lead operations at premier business campuses. Cross-functional exposure to marketing, leasing, digital products, and customer engagement. A high-impact role in shaping workplace experiences and community life across Brookfield campuses. Apply now to be part of a growing, dynamic team redefining the future of workspaces. Qualification : Bachelor's degree specialization in Hospitality, Property, Facilities Management, or Business is preferred

Position: Assistant Manager Account Management Location: Bangalore Experience: 5 8 years Education: Any Graduate Experience Required: 5 8 years of total experience in the service industry, with a minimum of 3 years in people management and customer service roles. Role Purpose: To ensure seamless claims processing for customers by managing a team of helpdesk personnel, including implants, semi-implants, account managers, and the document pickup team. The role also ensures a high standard of customer satisfaction and process compliance. Key Responsibilities: Team Oversight & Operations: Ensure scheduled customer visits by team members are carried out as planned. Monitor daily activities and performance, especially volume of documents collected. Review customer queries and the quality of responses from team members. Support team in handling and resolving customer escalations. Reporting & Claims Coordination: Review team reports and take necessary actions, including claims coordination. Collaborate with the front-end team to ensure timely and accurate claim registration. Analyze claims data dumps and take corrective actions such as addressing IRs, reopening claims, or resolving dummy entries. People Management & Coaching: Conduct regular one-on-one reviews with team members to address concerns and streamline processes. Guide team through customer escalations and process complexities. Drive improvement based on low CSAT/DSAT scores by identifying and addressing process or communication gaps. Stakeholder Collaboration: Liaise with internal and external stakeholders to address client-specific needs, such as helpdesk support or wellness activities. Work closely with regional and cross-functional teams to deliver on client expectations. Continuous Improvement: Analyze customer feedback to drive service improvements. Identify opportunities to improve customer interactions, documentation processes, and service delivery. Key Outcomes for Success: High customer satisfaction (CSAT) Timely resolution of customer issues as per SLA Successful client renewals Skills & Competencies: Technical: Strong understanding of service processes and claims workflows Proficient in MS Office (Excel, Word, PowerPoint) Behavioral: Problem-solving mindset Strong active listening and communication skills Proven people management abilities Client-oriented with a focus on service excellence Qualification : Any Graduate

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Associate Credit Card Operations Location: Bengaluru, India Employment Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company transforming how banks and fintechs design and launch modern financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform, Tachyon, is the industry s first fully cloud-native and API-enabled banking stack. It integrates issuance, processing, lending, fraud & risk, and more into a single-vendor platform. With over 15 million cards issued globally, Zeta enables banks to deliver: Rich, digital-first experiences Hyper-personalized card programs Rapid deployment via web-based product configurators API-based innovation and scalability Intuitive, modern back-office systems Advanced regulatory and compliance tools We re trusted by major banks and fintechs globally and backed by investors like SoftBank and Mastercard, with a $1.5 billion valuation and a team of 1700+ employees, over 70% in R&D. About the Role Zeta is collaborating with HDFC Bank to manage and operate a modern credit card program built on the Zeta Platform. We are seeking dynamic professionals to join our Credit Card Business Operations Unit, supporting critical functions such as onboarding, dispute handling, reconciliation, and end-to-end lifecycle management of credit card customers. This is an exciting opportunity to be part of a growing, innovation-driven team that is reshaping banking operations. Key Responsibilities Operations Oversight: Monitor and resolve onboarding, delivery, and dispatch issues for new credit card customers. Dispute & Fraud Resolution: Handle fraud and dispute cases in compliance with process and regulatory timelines. Reconciliation & Settlement: Manage transaction settlement processes and ensure accurate reconciliation of accounts. Lifecycle Management: Oversee credit card lifecycle processes, including account maintenance, repayment tracking, credit balance refunds, and closures. Stakeholder Coordination: Collaborate with internal and external teams (e.g., product, engineering, bank partner) to resolve operational issues effectively and on time. Skills & Competencies Strong communication and interpersonal skills. Customer-first mindset with a proactive problem-solving approach. High level of accountability and attention to detail. Ability to manage time effectively in a fast-paced and dynamic environment. Qualifications & Experience Education: Graduate degree in any discipline. Experience: 1 5 years of relevant experience in Credit Card Operations, Customer Servicing, or Banking Operations. Prior exposure to onboarding, dispute management, settlements, and lifecycle operations in cards domain is highly preferred. Equal Opportunity Statement Zeta is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We encourage individuals from all backgrounds, communities, and identities to apply. Qualification : Graduate degree in any discipline.

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Job Description: MEP Manager Experience: 4+ Years Qualification: B.TECH (Mandatory), M.TECH (Preferred) Job Description: We are seeking an experienced MEP Manager with at least 4 years of experience to manage and oversee Mechanical, Electrical, and Plumbing (MEP) works in various construction projects. The ideal candidate will have strong knowledge of MEP drawings and works, excellent project management and coordination skills, and experience in planning, scheduling, and managing material procurement. The role requires someone who has completed at least three projects, including residential and commercial buildings, and is capable of managing all phases of MEP works. Key Responsibilities: Project Management: Lead MEP operations for construction projects, ensuring timely delivery of work across all stages. Oversee and manage the MEP team to ensure adherence to project timelines, budgets, and quality standards. Handle the complete process from planning, coordination, and execution of MEP activities to final handover. MEP Drawings and Works: Ensure strong knowledge of all MEP-related drawings and coordinate their execution. Prepare and review MEP shop drawings and obtain necessary approvals from clients and authorities. Monitor and manage all MEP works, including electrical, mechanical, and plumbing systems, ensuring they align with the design specifications. Tender Analysis and Worker Orders: Analyze the tender Bill of Quantities (BoQ) and worker orders, ensuring accurate estimation and cost management for MEP systems. Planning & Scheduling: Create and manage project schedules in MSP (Microsoft Project), ensuring the timely execution of tasks at each stage of the project. Monitor the progress of MEP works, identifying potential delays, and implementing corrective actions when necessary. Material Management: Prepare material requisitions and manage procurement processes. Ensure proper material tracking, handling, and inventory management, reducing wastage and delays. Documentation & Reporting: Prepare and maintain project documentation, including MIR (Material Inspection Reports), RPI (Request for Inspection), ECR (Engineering Change Requests), DPR (Daily Progress Reports), DLR (Daily Log Reports), and other critical documents. Review and track method statements, micro work schedules, cash flow statements, and other documents as required. Approval and Certification: Prepare and submit client bills for certification, ensuring timely processing and approval. Liaise with clients and vendors to ensure smooth project execution and approval of materials and works. Coordination: Coordinate with other departments and project teams, ensuring the timely completion of all tasks and proper integration of MEP systems with other construction activities. Handle communication with client teams, subordinates, vendors, and project management office (PMO) teams. Leadership and Communication: Provide leadership and guidance to subordinates, ensuring high team performance and adherence to project goals. Act as the primary point of contact for all MEP-related issues, ensuring effective communication and collaboration across the project team. Qualifications and Skills: Experience: Minimum 4 years of experience as an MEP Manager, with a proven track record of completing and handing over at least 3 projects (1 residential + 1 commercial). Technical Skills: Expertise in all MEP drawings and works, with hands-on experience in planning, scheduling, and executing MEP systems. Proficiency in MS Office, CAD, and MSP (Microsoft Project) for planning and scheduling. Strong analytical skills for reviewing tenders, BoQs, worker orders, and material management. Documentation and Compliance: Experience in preparing and reviewing various project documents such as MIR, RPI, ECR, DPR, DLR, JMS, Pre-commissioning & Post-commissioning reports, and handling method statements. Communication Skills: Excellent communication skills to interact with various stakeholders, including clients, subordinates, vendors, and project management teams. Qualification: A B.TECH degree is mandatory. M.TECH is preferred. Other Skills: Ability to mentor and manage teams effectively. Strong organizational and multitasking abilities. Ability to work under pressure and meet project deadlines. What We Offer: Competitive salary and benefits. Opportunity to work on high-profile construction projects. A collaborative work environment focused on innovation and continuous improvement. Qualification : A B.TECH degree is mandatory. M.TECH is preferred.

Job Title: Technology Support II Location: Bengaluru, India Department: Corporate Technology Team, JPMorgan Chase Job Description As a Technology Support II within the Corporate Technology team at JPMorgan Chase, you will leverage best practices in software engineering to solve complex business problems and drive excellence in technology solutions. You will be responsible for working on small to medium projects independently and collaborating with cross-functional teams to enhance your understanding of business needs and relevant technologies. This role involves championing site reliability practices, applying your experience in Agile SDLC, and proficiency with development toolsets. You will have a solid understanding of application, data, and infrastructure architecture, and effectively use ETL software such as Ab Initio. Staying updated on industry trends, leveraging your knowledge of financial instruments, and fostering an innovative culture will be key to your success. You will apply your software skills in business analysis, development, maintenance, and improvement, all while collaborating within large teams to achieve the organization s goals. Key Responsibilities Site Reliability: Champion site reliability culture, providing technical influence across the team. Agile Practices: Apply your experience with Agile SDLC and proficiency with development tools. Application & Infrastructure Architecture: Demonstrate solid knowledge in application, data, and infrastructure architecture disciplines. ETL Software Usage: Utilize Ab Initio ETL software effectively to process and integrate data. Industry Awareness: Stay informed about technology trends and best practices across the industry. Financial Instrument Knowledge: Leverage knowledge of various financial instruments in your work. Innovation Culture: Foster an innovative culture, bringing passion and creativity to problem-solving. Software Skills Application: Apply your software skills in business analysis, development, maintenance, and improvement. Collaboration: Collaborate effectively in large teams to meet organizational goals. Independent Work: Work independently and take the initiative on tasks and projects. Required Qualifications, Capabilities, and Skills Training & Certification: Formal training or certification in application support concepts, with 2+ years of applied experience. Programming & Scripting: Experience in Python or similar programming languages. Automation Tools: Experience with automation tools such as Ansible, Autosys, or Control-M. Site Reliability Knowledge: Emerging knowledge of reliability, scalability, performance, security, and site reliability best practices. Monitoring & Alerting: Familiar with service level objective alerting and monitoring tools (e.g., Splunk, Datadog, Dynatrace). CI/CD Tools: Familiar with continuous integration and delivery tools such as Jenkins, GitLab, or Terraform. Automation with Terraform & Python: Emerging knowledge of Terraform and automation in Python. Containers & Orchestration: Emerging knowledge of containers and container orchestration tools (e.g., ECS, Kubernetes, Docker). Collaboration Skills: Strong communication and collaboration skills, with the ability to thrive in a fast-paced, dynamic environment. Preferred Qualifications Cloud Experience: Experience with cloud platforms (preferably AWS) and setting up infrastructure using Terraform. Platform Experience: Advantageous to have experience supporting applications on platforms such as Databricks, Snowflake, or AWS EMR. Virtualization & Cloud Architecture: Knowledge of virtualization, cloud architecture, and services for automated deployments. About JPMorgan Chase JPMorgan Chase is one of the oldest and most prominent financial institutions in the world. With over 200 years of history, we provide innovative financial solutions to millions of consumers, small businesses, and some of the world's largest corporate, institutional, and government clients. Our services span across investment banking, consumer banking, small business banking, commercial banking, financial transaction processing, and asset management. Join us and be part of a global leader in the financial services industry.

Your Impact We are seeking a passionate Data Engineer with expertise in Python development who is excited about cloud-based data engineering using AWS services. You will be an integral part of a dynamic, multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers, and other stakeholders. As a key member of a global team working on our generative AI initiative, you will be based in one of our European offices. McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use, and your role will be crucial in driving the development of data solutions to support generative AI applications. You will work with a team of data engineers to develop robust data ingestion pipelines and enhance data processing capabilities that integrate data into systems used by AI applications. Your responsibilities will include writing Python code, creating tests, developing and maintaining GitHub Action CICD pipelines, and managing AWS-based infrastructure and Docker containers. Your Growth As a member of the global team working on our generative AI initiative, you will play a key role in shaping and accelerating the delivery of McKinsey's target state data platform, which will enable AI use-cases. You will be part of our cloud-first approach, transforming data platforms and analytical applications across the firm. Working closely with multidisciplinary teams, you will contribute to building cutting-edge data solutions in a fast-paced, innovative environment. McKinsey s Tech Ecosystem function is responsible for developing all technology solutions for the firm s internal needs, and you ll have the opportunity to shape how these solutions evolve. Your Qualifications and Skills 3+ years of professional experience as a Data Engineer, with a focus on cloud-based data engineering using AWS services Expertise in Python development and a strong understanding of clean code, modularity, error handling, and test automation Extensive experience with relational databases and data pipeline performance Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions) Strong execution focus, with the ability to work independently in complex, fast-paced environments and deliver results Demonstrable experience in solving data pipeline performance issues and diagnostics Interest in generative AI and machine learning topics Experience with Kedro framework is a plus Opinionated and confident in sharing ideas, willing to speak up at all levels Familiarity with Agile principles and product development methodologies Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

Where Technology Meets Heartbeat: Join Quantiphi s Culture of Innovation & Inclusion At Quantiphi, technology powers our solutions, but it s our people-first culture that drives our success. We take pride in fostering an environment where transparency, diversity, integrity, learning, and growth aren t just buzzwords they are the pillars we stand on. If you re looking for a career where your ideas are heard, your innovation is celebrated, and your personal and professional growth go hand-in-hand, your next chapter starts here. Client Solutions Partner - Payer/Provider Segment Quantiphi Solving What Matters We re on the lookout for a bold and dynamic sales leader to help shape our footprint in the Healthcare and Life Sciences arena, focusing on Payer and Provider clients across North America. This isn t your average sales role it s an opportunity to build deep executive relationships, drive AI-powered transformation, and be a trusted advisor at the heart of healthcare innovation. What You ll Own & Drive: Strategic Account Mastery Craft and execute strategic account plans for major payer and provider organizations. Tap into your industry know-how and network to uncover and unlock growth opportunities. End-to-End Sales Leadership From the first handshake to closing the deal (and beyond), you ll guide the full sales cycle prospecting, understanding client needs, crafting tailored solutions, and confidently presenting to the C-suite. Customer-First Storytelling Get to know each client inside-out from business drivers to growth plans to tech stacks. Show them how Quantiphi s AI solutions turn challenges into breakthroughs, whether it s streamlining claims processing, revolutionizing revenue cycles, enhancing patient engagement, or enabling value-based care. Relationship Alchemist Expand your circle of influence by building strong, trusted connections with decision-makers and influencers. Your role isn t just about selling it s about becoming a strategic advisor clients can count on. Team Player & Ecosystem Builder Partner closely with internal teams (Marketing, Solutions Architects, Delivery) to ensure client success. Collaborate with our alliance partners to maximize joint value. Forecasting with Precision Keep your finger on the pulse of your pipeline, forecast with confidence, and consistently meet your sales goals. Industry Trendspotter Stay ahead of the curve in healthcare innovation. Your insights into payer and provider trends and how AI fits into the picture will help shape not just our sales strategy but also our thought leadership. Proven sales success in healthcare, with a focus on payer and provider organizations A strong rolodex of C-level contacts in the North American healthcare market Deep understanding of payer/provider pain points and how AI & data science can solve them Sharp business sense you can turn complex tech talk into clear business value Stellar communication and presentation skills (Boardroom presence = ) Experience managing long, complex sales cycles and negotiating big-ticket enterprise deals Collaborative spirit you thrive working across teams and managing diverse stakeholders Bachelor s degree required (MBA is a nice bonus) If you love fast-paced growth, thrive around passionate high-achievers, and want to solve what really matters in healthcare, you ll feel right at home with us. Qualification : Bachelors degree required (MBA is a nice bonus)

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

SAP S/4 HANA Sales & Procurement Support Specialist Company Arm Location Bengaluru, India Job Overview This role is based in Arm s Bengaluru office, operating on a 16x5 shift pattern with on-call responsibilities on a rotational basis. The initial focus will be on specialist end-user support and resolving issues related to SAP S/4 HANA Sales, Sourcing & Procurement, and Logistics General & Execution solutions. Over time, the role will evolve into a DevOps structure, including design, development, project participation, and ongoing service maintenance. Candidates should hold at least a B.Tech or higher degree in Computer Science, Software Engineering, or a related field, and have at least 3 years of experience in a similar role within a global organisation. A minimum of 1 year must include hands-on experience with SAP S/4 HANA solutions. Required Skills and Experience Experience providing L2 and L3 support for SAP S/4 HANA systems. Proven track record in operational support, including Incident, Request, Change, and Problem Management aligned with ITIL standards. At least one S/4 HANA implementation as a Sales consultant, with strong understanding of integration across other SAP modules. Deep experience with SAP S/4 HANA Sales, Sourcing & Procurement, and SAP Variant Configuration (LO-VC). Hands-on experience with SAP FIORI and S/4 HANA Embedded Analytics. Knowledge of SAP Entitlement Management System (EMS). Experience integrating S/4 HANA with EMS using SAP Cloud Platform (CPI) and/or other middleware platforms. Knowledge of SAP Revenue Accounting and Reporting (RAR), SAP Global Trade System (GTS), and SAP Ariba. Excellent communication, teamwork, and analytical skills. Nice-To-Have Skills and Experience Certifications in SAP S/4 HANA. Familiarity with Salesforce, ServiceNow, and other web-based technologies. Experience working in the semiconductor industry or other engineering-focused organisations. Comfortable working with development practices such as Waterfall and Agile. Experience working in a global, diverse, and multicultural environment. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organisation of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2

Position: Data Analyst Company: Nineleaps Location: Bangalore, India Experience: Relevant experience in data analysis and business intelligence Industry: Technology Consulting Job Type: Full-Time About Nineleaps Nineleaps is a boutique technology consulting firm that helps funded ventures and enterprises accelerate their product development and data efforts. With over 500+ team members, we are based in Bangalore, India. Over the past 10 years, our engineers have delivered 200+ pragmatic solutions to complex challenges across industries like Retail, e-Business, Advertising, Finance, Transportation, Healthcare, and Education. Job Description We are seeking a Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to support business decision-making and deliver actionable insights. Primary Responsibilities: Enhance data collection procedures to ensure relevant data is captured for analysis. Process, cleanse, and verify the integrity of data for analysis. Work with cloud databases and on-premises Microsoft databases. Perform statistical analysis to uncover trends and insights. Create data visualizations to present insights effectively. Develop business intelligence reports and dashboards. Communicate findings clearly and collaborate with cross-functional teams. Desired Skills: Strong SQL experience. Proficiency in Python for data analysis. Experience with Power BI, Tableau, or Google Data Studio (optional but preferred). Strong communication and analytical skills.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

We are looking for a proactive Technology Enthusiast to join us as IT Service Manager for Bangalore. You will control the entire lifecycle of our mobile estate from device procurement through retirement and optimize costs and usage with global Enterprise Mobility Management (EMM). A passion for technology, excellent analytical skills, and the ability to thrive in a cross-cultural environment are key attributes we seek. If you are curious, driven, and eager to explore new possibilities, we'd love to talk to you about this exciting opportunity. About You experience, education, skills, and accomplishments Collaborate with cross-functional teams and 3rd party to address service issues, fostering effective communication and coordination to achieve resolution. Bachelor s degree in Computer Science, Engineering, Mathematics, etc or equivalent experience. Minimum 5 years of experience in Troubleshoot and resolve complex hardware, software, and network-related problems Oversee enterprise mobility suite from cost optimization to device lifecycle management with managed mobility service experience It would be great if you also had . . . Experience in building, managing, and maintaining a knowledge base containing policies, procedures, documentation, and knowledge base articles This role involves working closely with various departments (IT, T&E, Finance and 3rd Party Supplier) to optimize mobile device usage, manage mobile expenses, and ensure compliance with company policies. Proficiency in personal computer operating systems, security and office automation software, including Microsoft Windows 10, Teams, Outlook, Word, Excel, PowerPoint, LucidChart, Microsoft SCCM, and Microsoft Office 365. Provide support and solutions include request fulfilment, incident resolution, IT services and implementation, knowledge management and unified endpoint management. Accelerate employee onboarding and productivity through seamless mobile carrier management, adding service to an existing device, order new device. Support our UEM deployment with mobility management to provide policy and compliance management, and endpoint security to protect against threats and data breaches. Gain visibility to our enterprise mobility expenses, data and usage. Discover cross-category trends and configure custom reporting dashboards to efficiently manage and validate contracts, inventory, invoices, processing and payments to reduce costs and optimize resources. Elevate enterprise mobility suite through granular mobile expense management insights and configurable analytics dashboards. Accurately allocate mobile costs at a global scale and enable strategic decision-making to optimize our mobile estate. Track and report on resolution and performance metrics related to mobile device management and support Efficiently plan budgets and align our mobile estate with our organization's financial goals to optimize our enterprise mobility suite. Monitor and analyze team performance metrics related to Service Level Agreements (SLAs) and Key Performance Indicators (KPIs), identifying areas for improvement and implementing strategies to optimize service delivery. About the Team Global IT Workplace Services function with team members based across multiple geographies in across the Globe. The team comprises 50 Members and reports to the Director of Global IT Workplace Services. Hours of Work Fulltime 45 h/week Hybrid working model At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Qualification : Bachelors degree in Computer Science, Engineering, Mathematics, etc or equivalent experience.

About the Role: Under general supervision, the Special Product Solutions Specialist supports Self-Directed Brokerage (SDB), Conversions, Deconversions, Account setup, customer queries, and other assigned products. This position performs a wide variety of functional tasks, including independently investigating and resolving issues, handling special projects, and coordinating activities between internal departments and outside parties while minimizing risk to the company and providing excellent customer service. Essential Functions: Product Administration Tasks/Projects: Manages daily processes between Empower and other investment providers, effectively using available resources to independently resolve a variety of issues with all levels of clients and partners. Coordinates and administers service agreements with outside investment providers. Manages assigned investment/brokerage conversions for all lines of business. Leads the entire SDB In-Kind, SDB account setup, and PEP MEP account setup process, including participant and plan-level quality control, reconciliation, providing clear timelines, frequent updates, and serving as the contact for questions and issues. This may include contact with RM and CSM and other stakeholders and/or contra brokerage firms. Executes the delivery of a variety of transition tasks, stabilizing the task, acting as a knowledge master, and providing process improvement ideas. All tasks listed in the existing Statement of Work will be performed as part of the BAU. Plan Block ownership (by Alphabet, Core only non-restricted), providing daily support for any request/inquiry. General Administration: Manages assigned service requests and processes and all assigned tasks. Documents procedures (written and automated) for internal team members and supports the Senior Analyst and Lead in creating and reviewing procedures. Assists the Senior Analyst in analyzing daily errors/rejects and manages corrections based on daily reports. Works with internal clients and external partners to troubleshoot and resolve complex issues and ensure prompt handling of any escalated issues requiring special handling through coordination with various areas within the organization, including functional processing areas, legal, sales, compliance, systems, financial control, and implementation/processing/service delivery teams. Has hands-on experience in managing multiple stakeholders and tasks and training the team as required. Proactively proposes and implements process enhancements and solutions to increase efficiencies and improve capacity. Qualifications: MBA in Finance or knowledge of accounting is preferred, with related experience in the retirement industry (401K). Must have a graduate degree in Finance and Accounting or a related field. Minimum 2-3 years of experience in SDB (Self-Directed Brokerage) or relevant business tasks like brokerage accounts. Minimum 4-6 years of relevant business experience, specifically Brokerage, Conversions, Asset transfers, new business setup, and document review. Experience in the retirement industry (401K). Knowledge of brokerage/investments and retirement plans. Strong analytical, verbal, and writing skills. Excellent multitasking and organizational skills. Advanced computer skills preferred, including Word, Excel, and Outlook, with the ability to master internal and external applications related to the role. Strong interpersonal and communication skills, with a positive attitude and a focus on a great customer experience. Outside-the-box thinking and solutions-focused. Ability to work effectively with a wide range of diverse departments and individuals, both internal and external. Must be able to work in a fast-paced environment and stressful situations. Must be able to meet deadlines, prioritizing competing priorities as appropriate. Equal Opportunity Employer: We are an equal opportunity employer committed to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. Qualification : MBA in Finance or knowledge of accounting is preferred with related experience in retirement industry

Job Overview As a Tools Support & Infrastructure Engineer at Qualcomm, you'll play a vital role in supporting and enhancing the design flows and infrastructure for Qualcomm's Digital Signal Processing (DSP) team. The DSP design team delivers high-performance DSP cores that are integral to Qualcomm's multi-tier SoC roadmap, particularly for mobile applications. This position involves managing DSP design databases, developing automation tools to streamline the verification process, and collaborating with global teams to optimize design efficiency and quality. Key Responsibilities Manage DSP Design Database: Oversee the DSP design database, supporting design and verification teams with infrastructure needs. Build Automation: Create new automation tools to enhance the productivity of design verification teams, making it easier to debug simulation failures. Collaborate with Global Teams: Work with Qualcomm s global DSP design teams (architecture, implementation, post-silicon, and back-end teams) to enhance DSP IP infrastructure. Improve Tool Methodologies: Design and deploy new tool methodologies to continuously improve the quality, efficiency, and effectiveness of design and verification processes. Support Design Flows: Contribute to and improve design flows, ensuring the seamless integration of tools and resources used by design teams. Minimum Qualifications Educational Requirements: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 6+ years of relevant work experience, or Master's degree in Computer Science, Electrical/Electronics Engineering, or related field with 5+ years of relevant work experience, or PhD in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years of relevant work experience. Skills & Experience Programming & Tools Support: 3-10 years of experience in programming, database management, and providing tools support for complex DSP IP designs. Automation Expertise: Extensive experience in building automation tools that improve design and verification processes. Programming Languages: Expertise in C++ and Java. Scripting & Automation: Proficiency with scripting languages and tools such as Perl, Python, Shell, Makefiles, and TCI. Analytical Skills: Strong analytic, programming, and debugging abilities. Object-Oriented Programming (OOP): Deep understanding of OOP concepts. Web Programming: Familiarity with Java for web programming is a plus. Unix Environment: Solid understanding of the Unix environment. Digital Design Flows: Knowledge of digital design flows is a plus. Communication: Excellent interpersonal and communication skills, with the ability to work collaboratively with global teams.