1151 Probability Jobs - Page 14

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Manager - Warehouse position will be based in Sriperumbadur, Chennai. What a typical day looks like: Maintains receiving, warehousing, and distribution operations by initiating, coordinating, and enforcing program, operational, and personnel policies and procedures. Complies with local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Controls inventory levels by conducting physical counts; reconciling with data storage system. Maintains physical condition of warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement. Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Monitors volume of business and determines appropriate work schedule. Sets productivity and establishes necessary controls to ensure objectives are met. Monitors condition and maintenance of operating / material handling equipment. Constantly monitors the efficient handling of shipments and receipts to create an error free culture. Reviews the loading and unloading schedules to maximize efficiencies and reduce expenses. Coordinate floor cycle counts, physical inventory and reconciling records. The experience we’re looking to add to our team: Typically requires a Bachelor's degree or equivalent experience and extensive knowledge of purchasing policies and practices in addition to 12 + years of materials experience with advanced experience using MRP systems. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites. Ability to effective present information to management and customers. Master’s degree preferred Here are a few examples of what you’ll get for the great work you provide Health Insurance PTO #LP17 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Skill required: Commercial Banking Operations - Core Banking Designation: Banking Operations Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We help clients address quality and productivity issues, keep pace with customer expectations, navigate regulatory and operational pressures and ensure business sustainability by transforming their banking operations into an agile, resilient operating model. The Corporate banking /Wholesale banking team is responsible for helping clients and organizations processes trade finance transactions by providing superior service delivery to trade customers whilst safeguarding the bank from risks associated with this business. Develop and deliver core banking solutions for the applications that process the essential functions of banks, including account management, interest calculations, cash deposits and withdrawals processing, customer management and product management. What are we looking for? Responsibilities/Authorities Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand and Analyze the company / borrower performance based on financials, cashflow, and other secondary information Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Ability to summarize borrower, financials, cashflow. Industry performance details in a clear and crisp way Identify the Risk associated with the borrower / company and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. PROCESSES Commercial Banking Operations, Servicing, Collateral Management. Responsibilities/Authorities Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand and Analyze the company / borrower performance based on financials, cashflow, and other secondary information Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Ability to summarize borrower, financials, cashflow. Industry performance details in a clear and crisp way Identify the Risk associated with the borrower / company and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts, Any Graduation

As a Perception Engineer at 10xConstruction.ai, you will help our autonomous drywall-finishing robots "see" the job-site. You'll design and deploy perception pipelines—camera + LiDAR fusion, deep-learning vision models, and point-cloud geometry—to give the robot the awareness it needs. Key Responsibilities Develop and deploy 3D perception components for geometric scene understanding using depth sensors, LiDAR, and RGB cameras. Build ROS 2 nodes that process and interpret spatial data (point clouds, depth maps, image streams) for environment modeling and task planning. Train and integrate deep-learning models for 3D semantic understanding, including surface analysis and object segmentation. Design robust sensor fusion strategies that combine visual, inertial, and spatial data for scene reconstruction and robot localization. Benchmark and optimize perception models for deployment on edge compute platforms (e.g., NVIDIA Jetson) using tools like TensorRT or ONNX. Collect and curate high-quality datasets (real and synthetic); automate training pipelines and experiment tracking. Collaborate across robotics teams (manipulation, navigation, cloud) to deliver production-ready perception stacks for autonomous operation in dynamic construction environments Qualifications & Skills Solid grasp of linear algebra, probability and geometry; coursework or projects in CV or robotics perception Proficient in Python 3.x and C++17/20; comfortable with git and CI workflows Experience with ROS 2 (rclcpp / rclpy) and custom message / launch setups Familiarity with deep-learning vision (PyTorch or TensorFlow)—classification, detection or segmentation Hands-on work with point-cloud processing (PCL, Open3D); know when to apply voxel grids, KD-trees, RANSAC or ICP Bonus: exposure to camera-LiDAR calibration, or real-time optimisation libraries (Ceres, GTSAM) Why Join us? Work side-by-side with founders and senior engineers to redefine robotics in construction Build tech that replaces dangerous, repetitive wall-finishing labor with intelligent autonomous systems Help shape not just a product, but an entire company—and see your code on real robots at active job-sites Requirements Python 3.x C++17/20 ROS 2 PyTorch Open3D RANSAC

General information Country India State Telangana City Hyderabad Job ID 44314 Department Development Description & Requirements Summary: As an AI/ML Developer, you’ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor’s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

JOB_POSTING-3-72293-2 Job Description Role Title : AVP, Marketing technology audience analyst (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: The Performance Marketing Team is the engine behind business growth as it handles the majority of marketing activities. This includes targeting the right audience through campaigns, distributing content via channel marketing, conducting a thorough analysis of campaign launches and budgets, and also ensuring compliance via surveillance and governance all to maximize results and maintain a competitive edge. Together this team drives ROI and elevates Synchrony's brand presence in a dynamic market. Role Summary Synchrony is continuing to build a world class Performance Marketing Organization committed to driving results with our retail and payments partners while also delivering leading customer experiences. The AVP, Audience Analyst will be responsible for mining and analyzing digital audience performance, delivering insights centered on audience strategies and persona development and developing digital audiences. Additionally, this role will excel in the understanding, building and tracking of audiences in various platforms and develop best practices for audience governance as well as support the broader audience strategy development. Key Responsibilities Perform and deliver audience analyses using multiple internal and external data sources and develop insights which will optimize current audience campaigns and direct future campaign strategies and activities. Create data personas and consult with marketing partners to drive the understanding of trends and audience opportunities Partner with cross functional teams to identify key audiences and assist in the collection of data for audience insight Build audiences, managing the workflow from onboarding of CRM data, the anonymization process, to pushing audience segments to destinations for programmatic and personalization campaigns Develop partnership with cross functional teams, establishing a strong communicative and collaborative atmosphere, to understand their business needs and goals and ultimately deliver processes and opportunities Perform other duties and/or special projects as assigned Qualifications/Requirements Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain 5+ years’ experience working in enterprise-level data sciences, analytics and/or customer intelligence, including: 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc) Desired Characteristics Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies. Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements. Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus. Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams Expert proficiency with leading-edge data mining techniques and analytic platforms (including but not limited to Python and R) to feed a strong data management foundation Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant Experience in Agile methodologies and processes a plus Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies. Eligibility Criteria Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain Work Timings: 2:00 PM to 11:00 PM IST For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L8+ Employees can apply Level / Grade - 10 Job Family Group Marketing

JOB_POSTING-3-72293-1 Job Description Role Title : AVP, Marketing technology audience analyst (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: The Performance Marketing Team is the engine behind business growth as it handles the majority of marketing activities. This includes targeting the right audience through campaigns, distributing content via channel marketing, conducting a thorough analysis of campaign launches and budgets, and also ensuring compliance via surveillance and governance all to maximize results and maintain a competitive edge. Together this team drives ROI and elevates Synchrony's brand presence in a dynamic market. Role Summary Synchrony is continuing to build a world class Performance Marketing Organization committed to driving results with our retail and payments partners while also delivering leading customer experiences. The AVP, Audience Analyst will be responsible for mining and analyzing digital audience performance, delivering insights centered on audience strategies and persona development and developing digital audiences. Additionally, this role will excel in the understanding, building and tracking of audiences in various platforms and develop best practices for audience governance as well as support the broader audience strategy development. Key Responsibilities Perform and deliver audience analyses using multiple internal and external data sources and develop insights which will optimize current audience campaigns and direct future campaign strategies and activities. Create data personas and consult with marketing partners to drive the understanding of trends and audience opportunities Partner with cross functional teams to identify key audiences and assist in the collection of data for audience insight Build audiences, managing the workflow from onboarding of CRM data, the anonymization process, to pushing audience segments to destinations for programmatic and personalization campaigns Develop partnership with cross functional teams, establishing a strong communicative and collaborative atmosphere, to understand their business needs and goals and ultimately deliver processes and opportunities Perform other duties and/or special projects as assigned Qualifications/Requirements Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain 5+ years’ experience working in enterprise-level data sciences, analytics and/or customer intelligence, including: 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc) Desired Characteristics Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies. Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements. Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus. Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams Expert proficiency with leading-edge data mining techniques and analytic platforms (including but not limited to Python and R) to feed a strong data management foundation Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant Experience in Agile methodologies and processes a plus Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies. Eligibility Criteria Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain Work Timings: 2:00 PM to 11:00 PM IST For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L8+ Employees can apply Level / Grade - 10 Job Family Group Marketing

Role: In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models You'll get to work with the latest research in fields like artificial intelligence, computer vision (helping users see” and understand images), and computer graphics (generating images or animations). The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills. We are agnostic to your choice of development environment; however, we need a convincing demonstration that you will be able to self-support in the environment of your preference. Responsibilities include, but not limited to: Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. Apply cutting-edge research in machine learning, computer vision, and computer graphics. Work closely with leadership to understand high-level product vision and customer requirements. Utilize Git for effective source code management. Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell. Qualifications: degree in Computer Science, Engineering, Mathematics, or a related field 3+ years of relevant industry experience in a fast paced, high growth tech environment. Proficiency in Python Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Hands-on experience with Tensor Flow and Keras (or similar frameworks) in developing, training, and deploying deep learning models. Desired Characteristics: Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline. Experience with Git is preferred. A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods. Our development and production environments are Linux and macOS based. Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup. Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

Job Title: Quant/Data Scientist – Wealth Management Americas Technology Location: Pune, India Department: Data Analytics Foundational Platform (DAFP), Wealth Management Americas (WMA) Technology Employment Type: Contract About the Role We are looking for a highly motivated and innovative Quant/Data Scientist to join our Wealth Management Americas (WMA) Technology – Data Science Team in Pune. In this role, you will tackle complex, real-world challenges in wealth management using cutting-edge technologies, with a focus on machine learning , Generative AI , and large-scale data analysis . You will be part of a collaborative and global team that drives impactful insights and solutions for clients, advisors, and the business. Key Responsibilities Design and develop advanced statistical and machine learning models to derive actionable insights and improve business outcomes. Work with Generative AI (GenAI) technologies to create personalized insights for financial advisors, clients, and prospects. Leverage large datasets to conduct analysis, identify trends, and build predictive models. Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams. Develop and implement solutions using LangChain, LangGraph , and Vector Databases to build scalable, intelligent applications. Contribute to the innovation of client-facing platforms through data science and automation. Required Qualifications & Skills Bachelor’s or higher degree in Machine Learning, Computer Science, Mathematics, Computational Linguistics , or related technical fields from a premier institution. Strong theoretical background in Probability, Statistics, Linear Algebra, Calculus , and Machine Learning . In-depth expertise in Deep Learning and Generative AI/LLM architectures. Practical experience with Large Language Models (LLMs) via platforms like Azure OpenAI , Anthropic , etc. Hands-on experience in cloud ecosystems such as Azure , AWS , GCP , or Databricks . Proficiency in LangChain , LangGraph , and working with Vector Databases . Strong programming skills in Python , with familiarity in libraries such as TensorFlow, PyTorch , or Hugging Face . Knowledge of financial products (e.g., mutual funds, ETFs) and client segmentation is a plus. Strong analytical and problem-solving abilities. Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders. About the Team You will join a global Data Science team within the Data Analytics Foundational Platform (DAFP) under Wealth Management Americas Technology . This team operates across the US, Poland, and India , driving AI and analytics innovation across the business.

Job Title: Mathematics Instructor Locations: Sonipat, Pune (On-site) Institution: Newton School of Technology Experience Required: 2–4 years (Academic or Industry in a Mathematics/Engineering context) Employment Type: Full-time, On-campus About Us Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines. Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure. Role Overview We are seeking a dynamic and motivated Mathematics Instructor to join our academic team at Newton School of Technology. The ideal candidate will have a solid foundation in Engineering Mathematics , strong teaching abilities, and a passion for mentoring B.Tech students in a high-impact academic environment. You will play a key role in curriculum design, classroom instruction, lab facilitation , and student mentoring , while also contributing to academic innovation and interdisciplinary collaboration. Key Responsibilities Course Design and Instruction Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including: Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization Tailor content delivery to match the academic level and learning pace of B.Tech students. Student Mentorship Guide and mentor students through their academic journey. Assist with assignments, projects, and concept reinforcement sessions. Lab and Application Integration Design and lead lab sessions using mathematical tools and software. Integrate theoretical concepts with real-world applications in computing and data science. Curriculum Development and Collaboration Continuously update course content in collaboration with faculty and industry experts. Align mathematical instruction with emerging fields such as AI, ML, Cryptography, and Data Analytics. Research & Innovation Encourage research-based learning and support students in academic or industry-driven research projects. Participate in faculty development and cross-disciplinary academic initiatives. Required Skills & Qualifications: Must-Haves: 2–4 years of teaching or industry experience involving Engineering Mathematics Deep understanding of core topics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization. Strong communication and conceptual clarity. Ability to engage students and simplify complex mathematical ideas. Commitment to academic excellence and student-centered learning. Good-to-Haves: Prior experience teaching B.Tech students in a classroom or lab setting. Familiarity with tools such as: Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib). Exposure to applied domains: AI/ML, Data Science, Cryptography. Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.) Perks and Benefits Competitive salary aligned with market standards. Access to state-of-the-art classrooms and mathematics labs. Involvement in cutting-edge curriculum and interdisciplinary learning. Opportunity to contribute to high-impact education in a mission-driven academic environment. Interview Process Round 1 – Technical Assessment: Conceptual test on core mathematics topics and teaching-oriented problem solving. Round 2 – Teaching Demonstration: Mock lecture to assess instructional ability, engagement, and clarity. Round 3 – Final Discussion: Interaction with institutional leadership to assess alignment, motivation, and cultural fit. Be a part of a bold academic mission to shape the next generation of technology leaders. To learn more, visit: Newton School of Technology

Job Description You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. In This Role, You Will The Digital Technology Solutions (DTS) organization is seeking an experienced Business Analyst (BA) for a role on the Warehouse Management team (WMS). This team supports and develops solutions for Kimberly-Clark’s warehouse management systems in the region. The team focuses on delivering business value via process and system enhancements, projects, and support. Leads and delivers the analysis, design, configuration, customization, testing, deployment and support for applications within the warehouse management business process area. Functional leader of medium to large projects for a specific business capability. Accountabilities across multiple functional and technical areas with wide range of complexity. Proactive analysis of business processes and identification of innovative ways to use technology to address near term business needs which includes identifying these opportunities, reviewing and obtaining a disposition decision from the appropriate business client, assessing the fit of these opportunities into current initiatives, or including the opportunity in future demand Participates with Business resources to establish requirements for the implementation of changes in the business process. As part of this team, the WMS BA will be responsible for integrating business, information, and technology architecture to create solutions for the relevant business capability area and in some cases, cross capability areas. Focus on cost savings, business growth, as well as connecting with partners and customers. Accountabilities across multiple functional and technical analytical areas with wide range of complexity. Leader of medium to complex projects for a specific business capability or across multiple capabilities. Translates non-functional and functional requirements into end-to-end analytical solution designs, ensuring solution aligns with business goals and processes, uses and provides enterprise information consistently, integrates effectively with other applications and supports a common application environment. Collaborates with other BA and Enterprise Architecture to make sure that solutions fit within enterprise context and aims for standardization of solutions across K-C’s application landscape. Coordinates medium to complex WMS / EWM implementations while leading design variances based upon business needs. Coordinates engagements with vendors as they relate to evaluation, design and delivery of business capabilities. Contributes to the evaluation and selection of software product standards. About Us Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. Qualifications In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: A minimum of 3 years of applied IT experience. SAP experience in Supply Chain related modules (SD, MM, LE, PP, SCM). Strong analytical and problem-solving skills Strong communication skills Possess strong leadership skills and exhibit creative thinking to be able to come up with inventive solutions to solve business challenges. Comfortable consulting with resources from other disciplines and effective at working across multiple organizational boundaries Preferred Qualifications: SAP functional and configuration knowledge of the SAP’s extended warehouse management (EWM) or Warehouse Management (WM) processes. Knowledge of SAP user exits, BAPI’s, and BADI’s. Knowledge of ABAP concepts and ability to debug. Experience working in a virtual team across distance (remote), cultures and time zones, in a matrix with multiple reporting lines. Role Skills/Competencies: Business analysis: Investigates operational requirements, problems, and opportunities, seeking effective business solutions through improvements in automated and non-automated components of new or changed processes. Assists in the analysis of stakeholder objectives, and the underlying issues arising from investigations into business requirements and problems and identifies options for consideration. Identifies potential benefits, and available options for consideration. Works with clients/users in defining acceptance tests. Business risk management: Carries out risk assessment within a defined functional or technical area of business. Uses consistent processes for identifying potential risk events, quantifying and documenting the probability of occurrence and the impact on the business. Refers to domain experts for guidance on specialized areas of risk, such as architecture and environment. Co-ordinates the development of countermeasures and contingency plans. Requirements Definition and Management: Facilitates scoping and business priority-setting for change initiatives of medium size and complexity. Contributes to selection of the most appropriate means of representing business requirements in the context of a specific change initiative, ensuring traceability back to source. Discovers and analyses requirements for fitness for purpose as well as adherence to business objectives and consistency, challenging positively as appropriate. Obtains formal agreement by stakeholders and recipients to scope and requirements and establishes a base-line on which delivery of a solution can commence. Manages requests for and the application of changes to base-lined requirements. Identifies the impact on business requirements of interim (e.g. migration) scenarios as well as the required end position. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. Primary Location IT Centre Bengaluru GDTC Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time

Technology Gurgaon, India Publicis Re:Sources India Intermediate On-Site 7/7/2025 115065 Company description Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview Title GEN AI and Machine Learning Engineer Skills (must have) Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) Skills (good to have) Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus Responsibilities Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Model Developer- Assistant Vice President Principal responsibilities Support the management of core business activities across Models, relating to: (1) Model Design, Development, Validation & Implementation, (2) Model Portfolio, Risk Analytics & Risk Mitigation, (3) Model Monitoring, Control, Standards & Documentation, and (4) Model Governance across HSBC Group, Policy & Regulatory Risk. The role holder will be responsible for development of credit models - (i) Develop and maintain Probability of default , Loss Given Default and Exposure at Default models used for purposes (iii) Develop and maintain Expected Credit loss model (iv) Develop Stress Testing Models used for Private Banking and Wealth portfolios. Optimise Expected Credit Losses and Risk Weighted Assets for the Lombard and other asset backed portfolios. Work across in managing model risks, increase model coverage and implement globally consistent model systems, standards, policies, processes, methodologies and governance across all regions. Engage with stakeholders across all areas, business functions, and regions in identifying local regulatory issues, feeding these requirements into global model program design and ensuring compliance with global and local model regulations. Develop and review models according to feedback or requirements from our stakeholders, prepare pre-implementation validation reports for local use (countries or legal entities), develop models specific to a country or a business if required by regulators, support annual model validations, check the run, monitoring and validation of data, develop model prototypes, implement models, User Acceptance Testing of the models, and maintain official model documentation. Administrate global and local governance through the Model Oversight Forum and other technical committees, Audit, oversight the global and local model output to ensure its being appropriately used, and support the local and global business teams in model use. Run the model, produce global and local results, rollout models to new legal entities as required, run stress tests, document the processes, calculation runs and checks, monitor the model, and statistically validate the input data (scenario and internal loss data). Requirements Undergraduate degree or equivalent, advanced Degree (Masters ) Function specific certification or degree (Financial Risk Manager, Charted Financial Analyst). Experience in Private Banking/Wealth modelling is advantageous and understanding their unique model risks when compared to other areas. Coding and modelling languages such as Python Experience with Stress Testing, Regulatory articles and ability to scope them to Private Banking is advantageous. An understanding of investment, banking, credit and insurance products and services is an advantage. Strict deadline management with project management discipline. Effective presentation, interpersonal, negotiation, communication and analytical skills. Enjoys compiling best-in-class documents and publishing papers. Good understanding of portfolio management techniques including analytics. History of working within the to manage model risk including experience of validations and the range of regulatory reporting on models such as annual attestations is advantageous. You’ll achieve more when you join HSBC. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued by HSBC Electronic Data Processing (India) Private LTD***

Ready to build the future with AI? At Genpact, we don’t just keep up with technology— we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation -driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Man agement Trainee -Human Resource Analytics In this role, you will act as a Technical Leader for our People Analytics projects Responsibilities Lead the People Analytics Projects Accountable for all technical details of the projects and is expected to run them independently, end to end. Constantly upskilled with latest developments in the field of Machine Learning / Deep Learning Ensure we incorporate Machine Learning / Deep Learning, as applicable. Own entire project life cycle – Data collection, Data clean up and then modelling. Adept in storyboarding project insights Qualifications we seek in you! Minimum qualifications Relevant experience in Machine Learning / Deep Learning . Preferred Qualifications/ Skills Excellent hands-on experience in Machine Learning techniques such as Decision Trees (Random Forest), Support Vector Machines, Regression (Linear & Logistic) Should have hands on experience in Deep Neural network techniques such as RNNs and LSTMs Have worked on NLP. Adept at visualizing data and presenting it to stakeholders. Good with statistical concepts such as Probability Distributions and Hypotheses testing. Should have run Machine Learning / Deep Learning projects on cloud servers and handled large datasets. Good rank on Kaggle competitions is preferred. Excellent communication (verbal & written) skills – should be adept in storyboarding project insights. Languages preferred: Python or R Needs to be independent and self-motivated and comfortable working independently. Experience in ML Ops, Airflow would be an added advantage . Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Management Trainee Primary Location India-Gurugram Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 7, 2025, 11:30:04 PM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Company Overview: Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Location: Bangalore Job Description : The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects. Responsibilities: Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. Team management and strong stakeholder management skills Leadership skills to manage a span of Data Scientists Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. Fast learner: ability to learn and pick up a new language/tool/ platform quickly. Conceptualize, design, and deliver high-quality solutions and insightful analysis. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Qualifications: Required Qualifications: 5.6-11 years in core Data Science & Machine Learning projects Expert level proficiency in at least one of R and Python. Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes. Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches daily. We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them, you are good to go. Preferred Qualifications: Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems Experience of working in on one or more domains: CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse Experience in working with Linux computing environment and use of command line tools like sed/awk Good grasp on databases including RDBMS, NoSQL, MongoDB etc. Education : B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

Skill required: Commercial Banking Operations - Core Banking Designation: Service Delivery Ops Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? "We help clients address quality and productivity issues, keep pace with customer expectations, navigate regulatory and operational pressures and ensure business sustainability by transforming their banking operations into an agile, resilient operating model. The Corporate banking /Wholesale banking team is responsible for helping clients and organizations processes trade finance transactions by providing superior service delivery to trade customers whilst safeguarding the bank from risks associated with this business. Develop and deliver core banking solutions for the applications that process the essential functions of banks, including account management, interest calculations, cash deposits and withdrawals processing, customer management and product management. " What are we looking for? "• Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. • Understand functions like servicing, collateral management function within Banking Operations • Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. • Identify the Risk associated with the borrowers and mention it accordingly in the review along with the possible mitigants with justification. • Performing assignments/deals/tasks of moderate complexity • Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls • Contributes to cycle time improvement and efficiency of the team • Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. • Perform assignments/deals/tasks of high complexity and resolving queries • Ability to interact with Clients on weekly calls and explain Issue Management process. • • Need to hold monthly meaningful conversations with team members to discuss performance, coaching and feedback, training needs, and career discussions. • To monitor & drive team performance, including throughput and quality as per defined metrics • Will be provided with minimal guidance when determining methods and procedures on new assignments • Should be able to manage medium-small sized teams and should be able to deliver the expected outcome • Please note this role may require to work in night / rotational shifts" Roles and Responsibilities: "•In this role you are required to do analysis and solving of moderately complex problems • Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures • The person requires understanding of the strategic direction set by senior management as it relates to team goals • Primary upward interaction is with direct supervisor or team leads • Generally interacts with peers and/or management levels at a client and/or within Accenture • The person should require minimal guidance when determining methods and procedures on new assignments • Decisions often impact the team in which they reside and occasionally impact other teams • Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture • Please note that this role may require you to work in rotational shifts " Any Graduation

Location: Hyderabad Department: Advanced AI Research & Engineering Reports To: Chief Technology Officer / Head of AI Strategy Employment Type: Full-time | Leadership Track Executive Summary: We are looking for a visionary and deeply experienced Artificial Intelligence Specialist to lead the design, architecture, and deployment of next-generation AI systems that will redefine our digital future. This role is reserved for an AI leader with demonstrated expertise in designing scalable, production-grade AI ecosystems; a deep understanding of neural architectures; and a track record of solving real-world complex challenges through intelligent automation, generative models, and predictive intelligence. This is not a conventional role—you will architect the AI backbone of future enterprise intelligence systems. Core Responsibilities: Architect and develop mission-critical AI models across domains: predictive analytics, generative AI, NLP, computer vision, and autonomous decision systems. Lead AI research-to-production workflows—from experimental design, data strategy, and model optimization to real-world deployment at scale. Design and refine advanced neural architectures , including transformers, LLMs, graph neural networks, and reinforcement learning agents. Spearhead multi-modal AI solutions integrating vision, voice, text, and time-series data streams. Collaborate with engineering, product, and C-suite teams to translate strategic business objectives into deployable AI solutions with measurable ROI. Guide data governance, ethical AI practices , explainability, compliance, and AI fairness protocols. Mentor a team of data scientists and machine learning engineers to deliver high-impact, production-ready AI pipelines. Continuously evaluate emerging AI tools, frameworks, and hardware acceleration techniques to maintain technological leadership . Represent the organization at AI conferences, forums, and research partnerships . Required Expertise: 10+ years of deep, hands-on experience in Artificial Intelligence, Machine Learning, and Applied Data Science. Master's or Ph.D. in AI/ML, Computer Science, Mathematics, Physics, or a related field (Ph.D. strongly preferred). Expertise in Python , along with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, ONNX, Scikit-learn . Demonstrated experience building and deploying LLMs, GANs, CNNs, RNNs, RL agents , and large-scale vector search systems. Deep knowledge of data engineering pipelines, model lifecycle management, and distributed computing . Advanced proficiency with MLOps, CI/CD for ML , containerization (Docker, Kubernetes), and versioned model deployment tools (MLflow, Kubeflow). Solid grounding in probability, statistics, optimization , and algorithmic design. Experience deploying AI on cloud infrastructure (AWS, GCP, Azure) and leveraging GPU/TPU environments. Preferred Edge (Not Mandatory but Advantageous): Experience working with Autonomous Systems, AI OS, Digital Twins , or AI-powered Operating Systems . Prior contributions to open-source AI libraries , patents, or published research in Tier-1 conferences (NeurIPS, ICML, CVPR, ACL). Domain specialization in healthcare AI, fintech AI, smart cities, or autonomous governance platforms . Hands-on experience with AI compliance frameworks (GDPR, HIPAA, model interpretability, and ethical AI) . What You’ll Get: Leadership opportunity in building core AI infrastructure for enterprise-scale and city-scale platforms. Access to state-of-the-art infrastructure , including AI supercomputing environments and high-volume data systems. Competitive salary package with equity options , bonuses, and leadership growth. Opportunity to shape the AI strategy of high-impact products reaching millions globally. Work culture that fosters innovation, autonomy, and research-driven engineering . Application & Interview Process: Please submit: Updated CV with detailed project accomplishments GitHub / Research portfolio Shortlisted candidates will be invited for: A technical deep-dive session Strategic AI system design challenge Panel interview with leadership and R&D teams This Role is Built For: AI pioneers who don’t just build models — they architect future intelligence ecosystems . If you live at the intersection of mathematics, machine learning, systems design, and innovation, we invite you to define the next generation of AI with us.

Skill required: Commercial Banking Operations - Core Banking Designation: Banking Operations Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We help clients address quality and productivity issues, keep pace with customer expectations, navigate regulatory and operational pressures and ensure business sustainability by transforming their banking operations into an agile, resilient operating model. The Corporate banking /Wholesale banking team is responsible for helping clients and organizations processes trade finance transactions by providing superior service delivery to trade customers whilst safeguarding the bank from risks associated with this business. Develop and deliver core banking solutions for the applications that process the essential functions of banks, including account management, interest calculations, cash deposits and withdrawals processing, customer management and product management. What are we looking for? Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand functions like servicing, collateral management function within Banking Operations Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Identify the Risk associated with the borrowers and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. Perform assignments/deals/tasks of high complexity and resolving queries Ability to interact with Clients on weekly calls and explain Issue Management process. Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand functions like servicing, collateral management function within Banking Operations Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Identify the Risk associated with the borrowers and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. Perform assignments/deals/tasks of high complexity and resolving queries Ability to interact with Clients on weekly calls and explain Issue Management process. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Cilicant is seeking a strategic and experienced Finance Head / CFO to lead the companys finance and accounts operations across its India and US entities. The CFO will be responsible for financial planning, profitability management, cash flow optimization, compliance, and overall financial control while also acting as a bridge between the MD and investors. This role requires strong leadership, expertise in Financial strategy, public issue, accounts management, and US GAAP and EXIM finance. Key Responsibilities: Financial Strategy, Planning & Leadership Develop and implement financial strategies aligned with Cilicants growth plan for 30% year-on-year growth. Lead budgeting, financial forecasting, profitability analysis, and cash flow management. Drive cost optimization across raw material procurement, operations, and supply chain finance. Provide financial insights and decision support to the MD and leadership team. Establish and monitor financial KPIs to ensure business profitability and sustainability. Accounts & Compliance Management Oversee accounts operations, bookkeeping, and financial controls. Ensure compliance with Indian and US financial regulations, including US GAAP, GST, TDS, and SEBI norms. Manage taxation, audits, transfer pricing, and statutory reporting. Optimize working capital management, including receivables, payables, and inventory accounting. Ensure accurate and timely financial reporting for internal and external stakeholders. Fundraising, M&A & Public Issue Lead (in coming time) capital-raising initiatives, including debt, equity financing, and IPO preparations. Evaluate and execute mergers, acquisitions, and strategic partnerships. Maintain strong relationships with banks, investors, and financial institutions. US & International Finance Oversee financial operations for both India and US entities. Manage EXIM finance, including international transactions, forex management, and cross-border taxation. Collaborate with legal teams to ensure compliance with international financial reporting standards. Technology, IT & Process Automation Drive digital transformation in finance and accounts, including ERP implementation and automation. Ensure financial data integrity, cybersecurity, and process automation in IT functions. Implement advanced financial analytics and reporting tools for better decision-making. Investor Relations & Stakeholder Management Prepare and present financial reports to investors, board members, and stakeholders. Develop financial models and business cases to support investor relations and business expansion. Act as a strategic advisor to the MD on financial and operational matters. Preferred candidate profile Experience: 10-15 years in finance, accounts, and strategy, with at least 3 years in a CFO or leadership or Finance Controller (of company) role. Proven track record in budgeting, forecasting, cash flow management, profitability analysis, and accounting controls. Expertise in public issue (IPO), mergers & acquisitions (M&A), and fundraising. Strong knowledge of US GAAP, Indian accounting standards, international finance, and EXIM transactions. Experience in investor relations, banking, and capital market transactions. Proficiency in financial automation, ERP systems, and digital transformation. Exceptional leadership, strategic thinking, and communication skills.

CTC -10-12LPA Job Title: GenAI Developer & Data Scientist – Azure | NLP | MLOps Location: Pune (WHO) Experience: 3-5 Years Role Overview: We are seeking a skilled GenAI Developer / Data Scientist with strong experience in Python, Azure, AI/ML , and modern NLP & Deep Learning techniques . This role is ideal for someone passionate about end-to-end AI solution delivery , model development, and integration using cutting-edge tools like Azure OpenAI, FastAPI, PyTorch, and MLOps frameworks . Key Responsibilities: Research, develop, and optimize AI models (ML/DL/NLP). Design and deploy data pipelines and AI workflows. Build solutions using Prompt Engineering , GPT-based models , and Vector Search . Implement and monitor ML models using MLOps best practices . Collaborate across teams to integrate AI components into applications. Must-Have Proficiency In: Programming/Frameworks: Python, R, FastAPI, React (Azure UI Search API) Cloud & Tools: Azure Cloud, Azure DevOps, GitLab Pipelines, Ansible, REX Databases/ETL: Cosmos DB (Mongo API), Azure Data Factory, Databricks AI/ML: Supervised/Unsupervised Learning NLP, Deep Learning (RNN, Transformers) Prompt Engineering & Modern Testing PyTorch, MLOps frameworks Deployment: Model deployment & monitoring processes Expert-Level Candidates Should Also Have: Experience with Azure OpenAI , GPT models (4o/4/3) , embeddings, vector search Deep expertise in ML algorithms (incl. reinforcement learning) Strong foundation in math/stats (linear algebra, calculus, probability, statistics) Frameworks: TensorFlow, PyTorch Data tools: Pandas, NumPy, SQL, Spark, Hive Visualization: Matplotlib, Seaborn, Tableau AI-driven analytics and decision systems

About Sapiens:- Sapiens International Corporation (NASDAQ and TASE: SPNS) is a global leader in intelligent insurance software solutions. With Sapiens’ robust platform, customer-driven partnerships, and rich ecosystem, insurers are empowered to future-proof their organizations with operational excellence in a rapidly changing marketplace. We help insurers harness the power of AI and advanced automation to support core solutions for property and casualty, workers’ compensation, and life insurance, including reinsurance, financial & compliance, data & analytics, digital, and decision management. Sapiens boasts a longtime global presence, serving over 600 customers in more than 30 countries with its innovative SaaS offerings. Recognized by industry experts and selected for the Microsoft Top 100 Partner program, Sapiens is committed to partnering with our customers for their entire transformation journey and is continuously innovating to ensure their success. For More information visit us on www.sapiens.com. Description:- This position is responsible for generating new insurance software sales and services revenue in the APAC region. In this role, you will be responsible for managing the strategy and end to end complex sales cycle for Sapiens solutions (from generating and qualifying new leads, responding to RFI/RFP’s, presentations, demonstrations, managing Proof of Concepts and leading contract negotiations, …) focusing on our P&C, Reinsurance as well as data and digital software solutions. You will communicate and work with many stakeholders including Product, Delivery, Finance, Legal, and Sales to develop a long-term partnership with our clients. Main Responsibilities include, but are not limited to: Develop, promote, and execute sales strategies in assigned accounts / territories that will enable the company to achieve its financial objectives; Develop relationships at all levels including C Level, business, and information technology, Work with carriers in a consultative and proactive manner to ensure that we are meeting their current and future needs; Understand the insurance industry trends and be able to sell the Sapiens value proposition to our customers and prospects based on their business needs, including but not limited to: Learn and promote solution differentiators and value proposition; Monitor competitive activity and competitor solutions; Own the end-to-end sales cycle, including but not limited to: Consistently build and maintain a deep sales pipeline through cold calling, partnering with Lead Generation Specialists, coordinating with Lead Generation campaigns, attending trade shows and conferences, networking, etc.; Utilize sales methodologies, processes, and best practices to increase the probability of success; Lead, coordinate, and influence sales cycles; Collaborate with other stakeholders on developing and executing sales strategies Coordinate contract negotiations; Ensure data is entered into the Sales CRM system timely and accurately. Requirements:- A sales executive with 10+ years of experience in a sales role in Insurance or IT, with a proven record meeting targets; Strong understanding of carrier workflows and ability to translate company systems into carrier’s solutions; Excellent negotiation, influence, mediation, and conflict management skills; Demonstrated ability to follow sound business ethics when executing job responsibilities to build and maintain management confidence; High-energy, self-starter; Exceptional verbal and written communication skills; Excellent organization and presentation skills. Educational requirements:- Bachelor’s degree, ideally in technology, engineering, marketing or business-related field; related work experience can be substituted for educational requirement. Travel requirements:- Up to 75% travel required. Disclaimer: - Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com

Position Overview Job Title: Senior Engineer (SAS/SAS Viya/Unix) – AVP Location: Pune, India Role Description ITAO is the custodian of the application and is responsible to apply and enable during Life-Cycle of the application the IT policies and procedures with specific consideration to IT management and Information Security. The ITAO ensures a clear separation of the responsibility within the project, aimed at achieving a safe and secure running of the application and compliance to regulations, policies and standards. ITAO is responsible for application documentation, application infrastructure reliability and compliance, and is usually the IT SPOC for audit initiatives. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities You are involved in the whole Software Development Lifecycle starting from analyzing requirements, developing, deploying and testing software as well as maintaining & continuously improving it. Your primary focus will be on software design, development and unit-testing activities including peer code reviews. You provide high-quality solutions that meet functional as well as non-functional requirements. You actively participate and contribute into the sprint activities and ceremonies e.g. daily stand-up, Sprint planning, retrospectives, refinements etc. You collaborate with other team members to achieve the sprint objectives. Candidate should aware and good knowledge on Enterprise IT governance, Security & Governance, Information content publishing, Knowledge management, Business risk management, Continuity management, Data management, Change and Transformation. Delivery and operation Availability management : Contributes to the availability management process and its operation and performs defined availability management tasks. Analyses service and component availability, reliability, maintainability and serviceability. Ensures that services and components meet and continue to meet all of their agreed performance targets and service levels. Implements arrangements for disaster recovery and documents recovery procedures. Conducts testing of recovery procedures. Service acceptance: Engages with project management to confirm that products developed meet the service acceptance criteria and are to the required standard. Feeds into change management processes. Configuration management : Applies tools, techniques and processes to track, log and correct information related to configuration items. Verifies and approves changes ensuring protection of assets and components from unauthorised change, diversion and inappropriate use. Ensures that users comply with identification standards for object types, environments, processes, lifecycles, documentation, versions, formats, baselines, releases and templates. Performs audits to check the accuracy of information and undertakes any necessary corrective action under direction. Asset management : Applies tools, techniques and processes to create and maintain an accurate asset register. Produces reports and analysis to support asset management activities and aid decision making. Change management : Develops implementation plans for complex requests for change. Evaluates risks to the integrity of service environment inherent in proposed implementations (including availability, performance, security and compliance of the business services impacted). Seeks authority for those activities, reviews the effectiveness of change implementation, and suggests improvement to organisational procedures governing change management. Leads the assessment, analysis, development, documentation and implementation of changes based on requests for change. Security administration : Investigates minor security breaches in accordance with established procedures. Assists users in defining their access rights and privileges. Performs non-standard security administration tasks and resolves security administration issues. Application support : Drafts and maintains procedures and documentation for applications support. Manages application enhancements to improve business performance. Advises on application security, licensing, upgrades, backups, and disaster recovery needs. Ensures that all requests for support are dealt with according to set standards and procedures. Problem management : Ensures that appropriate action is taken to anticipate, investigate and resolve problems in systems and services. Ensures that such problems are fully documented within the relevant reporting system(s). Enables development of problem solutions. Coordinates the implementation of agreed remedies and preventative measures. Analyses patterns and trends. To support key role holders such as ITAOs and ISOs to develop a secure environment by evaluating the IT Security requirements as early as possible in the system development life cycle to select the applicable information security controls for implementation. To guide ITAOs on the implementation of compensating controls in case of deviations from the applicable information security controls. To approve the access control and user authorization approach of the assigned IT Assets. To execute and document periodical recertification of Access Rights in compliance with the DB Group Identity and Access Processes. Incident management : Ensures that incidents are handled according to agreed procedures. Investigates escalated incidents to responsible service owners and seeks resolution. Facilitates recovery, following resolution of incidents. Ensures that resolved incidents are properly documented and closed. Analyses causes of incidents, and informs service owners in order to minimise probability of recurrence, and contribute to service improvement. Analyses metrics and reports on performance of incident management process. Your Skills And Experience At least 10 years’ experience in as a SAS, SAS Viya. Sound understanding of Production Management processes and controls in large organizations. Excellent problem solving skills in a distributed, multi-technology ecosystem Strong Experience in Base SAS, Advance SAS, Macros, SAS Enterprise Gide, SAS SMC,SAS Viya on UNIX Platform. Strong Skill in Advance Data Step programming statement to solve complex problems Strong Skill in writing and debugging SAS SQL/Proc SQL code. Strong Skill in writing and using SAS Macros. Hands on experience with SAS/Access using Oracle Strong Scripting experience in Shell. Strong Knowledge of Oracle Management, SQL scripts, performance mgmt. Strong understanding of Unix, Linux and Windows. Understanding of Agile and Safe methodologies. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title- Project Manager (Audit Functions/Transformation) – TDI Engineering Location- Pune, India Corporate Title : AS Role Description The TDI Engineering unit is responsible for all desktop, end user automation, engineering, and collaboration tools within the bank. The goal of this unit is to provide enterprise development tools as services for teams across Deutsche Bank, enabling them to reach higher levels of maturity in their process. These services consist of all necessary to support teams from initial Program/Project investment governance decisions and subsequently management through development, testing, deployment as well as compliance with the Bank’s software processes. Tools such as Bitbucket, JIRA, Confluence, TeamCity, Artifactory, MF ALM. The Developer Tools Project Portfolio has multiple Programs/Initiatives driven by Regulatory/Audit-finding based remediation, Strategic Programs e.g., Cloud (GCP) migration (of tools, as part of a larger, bank-wide Programme), Developer Experience initiatives and Migration to new tools. The Project manager will manage sub projects under a set of these Programs. A Programme is a group of related projects that together deliver the intended value of a business case. Project manager functionally reports to the Programme Manager. The Project Manager will be part of TDI engg support Audit remediation or Internal initiative projects in Candidate/application functions. We are searching for a candidate with a good understanding of IT risks and controls. This role is integral in supporting the function in complying with the Non-Financial Risk Management framework including the Findings Management Policy (FMP). The project manager will work with subject manner experts, across TDI engg, Group Audit and Non-Financial Risk. This is an exciting opportunity for a high-performing and motivated individual to help shape the technology infrastructure in response to demanding regulations making a real impact on the profitability and reputation of the organization. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy. Gender neutral parental leaves Sponsorship for Industry relevant certifications and education Comprehensive Hospitalization Insurance for you and your dependents Accident and Term Life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities To deliver the required output whilst managing the costs to budget, delivering the business benefits according to plan, identifying project delivery risks and proposing mitigations as required Manage the execution, track deliverables, budgets (on the bank-wide Portfolio Management system e.g., dbClarity) Establish and drive the governance for this Program including TDI(IT)-wide stakeholders Engage with a variety of stakeholders within the bank, other Programme Managers, Project Management Offices/COO functions to effectively steer the Programme Ensure that the Project Team (Engineering, Policy teams, Operations teams, Product Owners) are appropriately aligned to the Programme and its deliverables Provide MI and reporting on a periodic basis to the stakeholders Understand the expectations of the CAF (Central Approval Function), DCRO & Auditor on all audit procedures and help the project team articulate the SII Forms, Closure packs and Remediation plan accordingly. Coordinate with Portfolio Owners/SPOCs for the upcoming audit schedule and request if any potential SIIs are to be raised for the audit scope. Support application leads/delegate on closure documentations (Include Finding & Action Level). Responsible for doing the first pass reviews of all ‘Life Cycle Events’ before it is submitted to CAF (Central Approval Function). Participate in Weekly and Monthly Status calls with Portfolio owners / CIO-1, GCIO Embedded Risk Manager and Divisional Compliance officer to update the status of the remediations. Coordination and management with Portfolio Owners/Delegates, ERT, Control Owners, CAF members & collaboratively work with them to address the requirements to close the remediation on time. Work with domain leads to tracking all remediations to ensure timely closure without any KPI impact. Prepare for the monthly Governance meetings – MB-1, CIO and CIO-1 Level. Support the delivery risk and control initiatives. This includes participation in risk and control activities, risk-based control reporting of key issues, performance, and validation. Ensure management transparency by way of timely risk reporting and proactive engagement and representing controls team at different governing forums. Identify and evaluate potential areas of non-compliance or risk, assessing impact, probability and present findings and proposals for risk mitigation measures. Familiarize with policies, procedures, and internal documentation, as well as management models pertaining to Deutsche Operational Risk & Findings Management. Manage and deliver the critical book of work for Risk & Controls. Establish a proactive risk culture with simplified governance, improved application stability and investment in reduction of manual support activities. Your Skills And Experience Overall 10+ years of experience in any of the SDLC/STLC engagement and minimum 3 years on risk and audit related experience in IT Risk. Previous experience with IT risk assessment, audit, controls validation and emerging risk identification. A strong team player comfortable in a cross-cultural and diverse operating environment. Result oriented and ability to deliver under tight timelines. Excellent communication and collaboration skills Desire to learn about new and emerging technologies and continuous upskilling. Must be comfortable with navigating ambiguity to extract meaningful risk insights. Excellent verbal and written communication skills Ability to work independently, plan, organize, prioritize, and meet deadlines in a rapidly changing environment. Ability to assimilate large quantities of information in short periods of time. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About KnowBe4 KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day. Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work. Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4. Please submit your resume in English. Are you a forward-thinking data scientist, poised to lead with innovation? At KnowBe4, you'll be able to shape a career as distinctive as your expertise, supported by our global reach, inclusive ethos, and cutting-edge technology. As a Data Scientist, you'll be at the forefront of crafting impactful, data-driven solutions, collaborating with talented teams in a dynamic, fast-paced environment. Join us in creating an extraordinary path for your professional growth and making a meaningful impact in the working world. Data scientists design data modeling processes, create algorithms and predictive models to be used by software engineers for developing new and exciting products for KnowBe4’s customers, alongside other engineers in a fast-paced, agile development environment. Responsibilities Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Design and develop cyber security awareness products and features using Generative AI, machine learning, deep learning, and other data ecosystem technologies. Collaborate with cross-functional teams to identify data-related requirements, design appropriate NLP experiments, and conduct in-depth analyses to derive actionable insights from unstructured data sources. Staying updated with the latest advancements in machine learning, deep learning, and generative AI through self-learning and professional development. Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Requirements BS or equivalent plus 10 years experience MS or equivalent plus 5 years experience Ph.D. or equivalent plus 4 years experience Expertise working experience with programming languages like Python, R, and SQL Solid understanding of statistics, probability, and machine learning 10+ years of relevant experience in designing ML/DL/GenAI systems Expertise in rolling out Generative AI SAAS product and features. Expertise in AWS ecosystem. Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction. Strong understanding and practical experience with deep learning frameworks such as TensorFlow or PyTorch. Ability to design, train, and optimize deep neural networks for various tasks like image recognition, natural language processing, and recommendation systems. Knowledge and experience in generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to create and use generative models for tasks such as image generation, text generation, and data synthesis. Exposure to LLMs, Transformers, and a few technologies like Langchain, Llamaindex, Pinecone, Sagemaker Jumpstart, Chatgpt, AWS Bedrock, and VertexAI. Strong data manipulation skills, including data cleaning, preprocessing, and feature engineering. Experience with data manipulation libraries like Pandas. Ability to create compelling data visualizations using tools like Matplotlib or Seaborn to communicate insights effectively. Proficiency in NLP techniques for text analysis, sentiment analysis, entity recognition, and topic modeling. Strong understanding of data classification, sensitivity, PII, and personal data modeling techniques Experience in model evaluation and validation techniques, including cross-validation, hyperparameter tuning, and performance metrics selection. Proficiency in version control systems like Git for tracking and managing code changes. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Ability to work collaboratively in cross-functional teams. Excellent problem-solving skills to identify business challenges and devise data-driven solutions. Nice To Have Experience in designing data pipelines and products for real-world applications Experience with modern/emerging scalable computing platforms and languages (e.g. Spark) Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks for handling large datasets. Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please.

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview About TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview A role with Item Science means the chance to help develop and manage state of the art GenAI, Computer Vision, NLP and ML algorithms . You’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Mech/item Digital etc rely on.Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge. As a Data Scientist, you’ll Influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences’ and Target’s culture by modeling the culture. You’ll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, Deep Learning, GenAI, Natural Language processing or computer vision.. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Solid foundations in math and programming Strong fundamentals in Probability, Statistics, Linear Algebra Strong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive, ML engineering. Good working knowledge of deep learning, Computer vision, GenAI , ML Passion for solving interesting and relevant real-world problems using a data science approach Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented Strong team player with ability to collaborate effectively across geographies/time zones Know More About Us Here Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role We are seeking a highly motivated Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Data Engineer in our Data Platform team, you will be responsible for helping us shape the future of data ingestion, processing, and analysis, while maintaining and improving existing data systems. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Build new tools and services that support other teams’ data workflows, ingestion, processing, and distribution. Design, discuss, propose, and implement to our existing data tooling and services. Collaborate with a diverse group of people, giving and receiving feedback for growth. Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry. Required Qualifications 6+ years of experience in software development. Experience with data modeling, ETL/ELT processes, streaming data pipelines. Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet. Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms. Experience with scheduler tooling like Airflow. Experience with version control systems like Git and working using a standardized git flow. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment. Professional experience developing data-heavy platforms and/or APIs. A strong understanding of distributed systems and how architectural decisions affect performance and maintainability. Bachelor’s degree in computer science, Electrical Engineering, or related field. Preferred Qualifications Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability. Proficiency with a deep learning framework such as TensorFlow or Keras. Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.