1165 Probability Jobs - Page 18

Operations Officer - Portfolio and Strategic Coordinator, GEID Job #: req33687 Organization: IFC Sector: Gender Grade: GF Term Duration: 3 years 0 months Recruitment Type: Local Recruitment Location: New Delhi,India; Hanoi,Viet Nam Required Language(s): English Preferred Language(s) Closing Date: 7/18/2025 (MM/DD/YYYY) at 11:59pm UTC Description IFC — a member of the World Bank Group — is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. IFC is deeply committed to advancing gender equality and economic inclusion as laid out in IFC's 2030 Roadmap for Gender and Inclusion to deliver game-changing private sector partnerships and programs to accelerate gender equality and inclusion in emerging markets. Aligned with the new World Bank Group (WBG) Gender Strategy (2024-30): Accelerate Gender Equality to End Poverty on a Livable Planet, IFC’s Roadmap is built on six priorities offering high potential for impact in and through the private sector. These areas aim to (1) Allocate Capital that Drives Inclusion, (2) Make Supply Chains Inclusive, and (3) Remove Barriers to Entrepreneurship, Employment, and Leadership (including addressing gender-based violence). Equally important are two cross-cutting themes that are foundational to achieving sustainable results across the priority areas and require action: (4) Bridging the Digital Divide; (5) Accelerating Inclusive and Gender-Smart Climate Action; and (6) Ending Gender-based Violence and Harassment. As part of its mandate, IFC has a dedicated team - the Gender and Economic Inclusion (GEI) Department (GEID), that works with IFC’s investment and advisory teams to support private sector clients in providing all genders and underserved communities with equal economic opportunities as leaders, employees, entrepreneurs, consumers, and community members. GEID leads strategy development and implementation for the organization, provides tailored operational solutions and client advice, innovates, and incubates novel approaches, serves a thought leader and disseminator of knowledge on GEI issues, supports mobilization through impact investing and sustainable financing; and forges public and private sector partnerships with the aim of creating economic opportunities and development for all. The Operations Officer - Portfolio and Strategic Coordinator will report to the Regional Lead, Asia, for Gender and Inclusion. Roles And Responsibilities The Operations Officer - Portfolio and Strategic Coordinator plays a vital role in supporting GEID in Asia to deliver on the ambitions of the IFC Roadmap for Gender 2030. Reporting to the Regional Lead, this position ensures gender and inclusion priorities are embedded in regional strategies and programs while supporting IFC teams and clients to drive meaningful impact. Gender Value Creation and Reporting (Gender Flag) Coordination with Regional Industry Teams Overview: The Gender Flag is the International Finance Corporation’s primary tool for identifying investment and advisory projects with gender and economic inclusion components. To trigger a Gender Flag, an investment or advisory project needs to be intentionally designed and implemented with an explicit focus on closing gaps between women and men. GEID will track and report on gender-flagged projects across IFC and provide regular portfolio analyses of IFC’s GEI engagements. Pipeline Screening and Coordination Act as the Gender Flag Lead to address inquiries and provide guidance and quality assurance to regional industry gender teams and portfolio officers. Coordinate across GEID, regional gender industry focal points and global industry gender and sustainability teams to ensure comprehensive screening of investment and advisory projects for gender flag. Conduct quarterly meetings with regional industry teams to review investment and advisory project pipelines for Gender Flag opportunities. Flag Implementation Monitoring Provide quarterly updates on gender-related key performance indicators to regional leadership, including detailed reporting on flagged projects and their gender outcomes. Conduct at least quarterly meetings with regional portfolio and Upstream Advisory Secretariat to monitor gender flags across investment and advisory and ensure 100% screening of all high probability investments and all client facing advisory implementation plans. Capacity Building Support development of resources such as guidance notes and tip sheets to support accurate Gender Flag implementation. Deliver training sessions to enhance staff understanding and effective application of the Gender Flag. Facilitate knowledge sharing with the GEID global Knowledge and learning team to enhance practices in the region. Regional and Country Strategy Provide support for World Bank-IFC strategic joint gender programming in designated “WBG focus countries”. Provide input into World Bank’s Country Partnership Frameworks, IFC’s Country Private Sector Diagnostics, and IFC’s Country Strategies across the region, focusing on analyzing gender gaps and policy impacts on women-led businesses. Partnerships and Donor Reporting Collaborate with regional partnerships teams to strengthen partnerships and support fundraising initiatives. Coordinate with the GEID Partnerships team to ensure alignment in donor engagement strategies. Collect and report data on progress and results to development partners, donors, and stakeholders. Prepare inputs and examples for external donor reports and review regional reporting as needed. Communications Prepare internal briefing materials, talking points, and speeches for regional and senior management. The candidate should be a seasoned candidate with experience working with the private sector and across institutional structures to deliver impactful solutions. S/he routinely delivers initiatives, programs, projects, and integrates the work of others (often multi-disciplinary). S/he confidently delivers quality output and can work independently with limited supervision. S/he can proficiently interact with companies' senior management, development partners and communicate with senior government counterparts and other organizations with confidence on the topic at hand. Selection Criteria Master's degree in economics, finance, business, or other relevant discipline required. At least six years of relevant professional experience in private sector development in emerging markets (required) with increasing levels of decision-making responsibility. Experience in designing and implementing advisory projects, including results frameworks to capture development outcomes and impacts, experience with women’s economic empowerment and inclusion is a plus. Experience and knowledge of the development finance landscape in the region. Broad experience across women’s economic empowerment and economic inclusion topics with a private sector lens and the demonstrated ability to engage with credibility and confidence. Experience working in a highly complex, matrix environment. Ability to self-manage, multitask, and work under time constraints. Strong analytical and problem-solving skills, sound business judgment to identify issues, and present creative and practical solutions. Excellent oral and written communication and interpersonal skills in English, including strong ability to communicate ideas clearly and confidently, articulate issues and recommend solutions. Demonstrated commitment to IFC core values, including excellence, mutual respect, collegiality, teamwork, diversity and inclusiveness, integrity, innovation, transparency, and accountability. WBG Culture Attributes Sense of Urgency – Anticipating and quickly reacting to the needs of internal and external stakeholders. Thoughtful Risk Taking – Taking informed and thoughtful risks and making courageous decisions to push boundaries for greater impact. Empowerment and Accountability – Engaging with others in an empowered and accountable manner for impactful results. World Bank Group Core Competencies The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities. We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Learn more about working at the World Bank and IFC , including our values and inspiring stories.

Role Title: Associate Director - AI Engineering Lead Location: Chennai We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world. AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial. The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient. The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come. The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients. The AI Engineering Lead will be responsible for leading the development and implementation of AI and machine learning solutions that drive business value. This role requires a strategic thinker with a strong technical background in AI technologies, data analytics, and a proven ability to manage cross-functional teams. The ideal candidate will have a strong background in AI, machine learning, and natural language processing, coupled with hands-on experience in Python programming. What You’ll Do Lead a focused team to explore and harness the Generative AI capabilities. Design and execute Proof of Concepts (PoCs) to validate AI use cases. Develop and implement initial use cases that leverage Generative AI and Machine Learning technologies. Establish and oversee governance frameworks for AI applications to ensure compliance and ethical use. Collaborate with senior leadership to define the AI operating model and strategic direction. Foster a culture of ideation and innovation within the Axial team, encouraging exploration of new innovative technologies and methodologies. Architect and implement generative AI models tailored to produce structured outputs such as text or images. Research and apply advanced machine learning algorithms to improve model efficiency and accuracy. Create user-friendly applications using Streamlit Handle large datasets, perform data cleaning, and apply feature engineering to prepare data for model training. Work collaboratively with cross-functional teams to understand requirements and translate them into technical solutions. Optimize and fine-tune GPT models to improve output quality and efficiency. Conduct research and stay up to date with the latest advancements in AI, machine learning, and NLP to integrate new methodologies into existing processes. Debug and resolve issues in AI models and the associated infrastructure. Document technical specifications and processes to support ongoing development and enhancements. Support the deployment and integration of AI solutions into existing systems. Essential For The Role At least 5 years’ experience demonstrating technical skills in one or more of the following areas: Generative AI, machine learning, recommendation systems, pattern recognition, natural language vision or computer vision. Proficiency in using Streamlit to create interactive and visually appealing web applications. Extensive experience in software development including full SDLC Experience of developing and integrating applications using APIs Solid understanding of natural language processing (NLP) techniques and applications. Experience using computer vision techniques Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, etc.). Strong software development skills, including python and scala. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) is key. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication, business analysis, and consultancy skills Desirable for the role Prior experience in Azure AI stack Knowledge of large language models like GPT, Claude, Gemini. Experience with version control systems like Git. Knowledge of agents and multi-agent systems, including agent-based modelling and simulation. Familiarity with decision-making algorithms and systems that exhibit goal-directed behaviour. Strong foundation in linear algebra, calculus, probability, and statistics. Ability to apply mathematical concepts to optimize models and interpret results Experience of multi-cloud cloud platform (AWS, Azure, GCP) is an advantage. Azure as primary experience Proficient working in high performance computing or cloud environment Experience in translating requirements into fit for purpose models, processing designs, data mappings and data profile reports Experience in working relevant domains e.g. Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities etc. Why AstraZeneca? At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare. So, what’s next? Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you. Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours If you’re curious to know more then we welcome your application no later than Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en Date Posted 04-Jul-2025 Closing Date 10-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. We are a business facing strat team within GS’ Prime Brokerage business, one of the biggest revenue streams of our Global Banking and Markets division. We run analytics driving critical business decisions such as pricing, restructuring, business selection, and constraints optimization. In this entrepreneurial role, we balance our time between building scalable data and insights platforms and running complex ad-hoc analysis and projections. Your Impact If you are looking for a commercially impactful position to leverage your extraordinary quantitative, analytics, programming and communication skills, then our team is the ideal opportunity for you. You will build data analytics systems and platforms and use them to identify and execute new revenue opportunities while working closely with Sales, Trading, Senior Management and Clients. You will build on diverse partnerships with colleagues across different functional and business areas. You will be rewarded for adaptability, initiative and strong execution and having direct impact on key revenue streams of the firm. Responsibilities Responsibilities & Qualifications As a member of this team, you are expected to have understanding of equities and fixed income markets and the financing and regulatory landscape surrounding them. You will gain detailed knowledge of revenue and capital drivers of the prime brokerage businesses. You will develop analytics models and platforms and use them to identify actionable revenue opportunities and optimally price and manage client portfolios based on predictive models. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Basic Qualifications BS/MS or PhD in a relevant field – Applied Mathematics, Data Science, Engineering, Physics or Finance Strong programming skills in Java, Python or equivalent language Excellent verbal and written communication skills Ability to work as part of a global team and deliver results quickly Comfortable working on multiple projects, demonstrating initiative and showing commercial impact Preferred Qualifications 1 or more years’ experience in a quantitative role A track record of solving quantitative problems and delivering results in a high-pressure environment Familiarity with Equities/FICC Markets/Prime Brokerage/Basel3 Rules a plus Familiarity in probability and advanced statistics a plus Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

About Us: IA-Meetings , is a leading organization in the media and events industry, known for creating impactful experiences and innovative campaigns. We are seeking a talented Social Media Expert to drive our online presence, engage audiences, and amplify our brand across digital platforms. Core Responsibilities1. Strategic Pre-Sales Research Conduct comprehensive research on target organizations, key decision-makers, and their event history Develop detailed client profiles including past events, budget parameters and decision-making structures Research industry trends, competitive landscape, to inform sales team for strategies Create customized research briefs for high-value opportunities with client pain points and potential solutions Monitor and analyze RFPs/tenders in the conference and event space to identify qualified opportunities 2. Proposal Development & Content Creation Transform research insights into customized proposals with understanding of client needs Create value propositions that clearly differentiate our services from competitors Develop tailored pricing strategies based on market intelligence and client budget parameters Design visually engaging presentation materials, case studies, and supporting documents Maintain a library of proposal templates, case studies, and success stories segmented by industry vertical 3. Sales Analytics Implement and manage CRM data enrichment processes to ensure updated client profiles Initial pre qualification to identify high-probability conversion opportunities Create reports/ dashboards tracking sales pipeline, conversion rates, and revenue forecasts Analyze win/loss patterns to refine targeting approach and proposal strategies Generate quarterly reports 4. Cross-Functional Collaboration Partner with Marketing to align messaging and content with sales intelligence findings Collaborate with Operations teams Work closely with Account Managers to incorporate client feedback into future proposals Support business development initiatives by identifying emerging market opportunities 5. Marketing Strategy & Execution Developing targeted marketing campaigns Managing content across multiple channels (social media, website, email) Tracking marketing metrics and optimizing campaigns Building brand presence at industry events Creating marketing materials and case studies Package - 70k to 80K

The Quantitative Aptitude Lecturer for CA/CMA programs is responsible for delivering high-quality education in quantitative aptitude, ensuring students develop a robust understanding and proficiency required for CA (Chartered Accountant) and CMA (Cost and Management Accountant) exams. The lecturer will create an engaging learning environment, utilize diverse teaching methodologies, and provide academic support to help students achieve their professional goals. Key Responsibilities: Curriculum Development: Develop and update curriculum content to align with CA/CMA syllabus and examination patterns. Create comprehensive lesson plans, instructional materials, and assessment tools. Instruction and Teaching: Deliver lectures and conduct interactive sessions on quantitative aptitude topics, including arithmetic, algebra, geometry, statistics, probability, and data interpretation. Utilize a variety of teaching methods to cater to different learning styles, including lectures, discussions, and practical problem-solving sessions. Student Assessment: Design and administer quizzes, tests, and examinations to evaluate student progress. Provide constructive feedback and support to help students improve their performance. Academic Support: Offer one-on-one tutoring and mentoring to students requiring additional help. Organize and conduct workshops, revision sessions, and exam preparation seminars. Research and Professional Development: Stay updated with the latest trends, techniques, and updates in the field of quantitative aptitude and professional accounting exams. Participate in professional development opportunities and contribute to academic research. Administrative Duties: Maintain accurate records of student attendance, grades, and performance. Participate in faculty meetings, contribute to academic committees, and collaborate with colleagues on program improvement initiatives. Qualifications and Experience: Educational Background: Master’s degree or higher in Mathematics, Statistics, Finance, or a related field. Professional qualification in CA/CMA or equivalent is highly desirable. Experience: Minimum of 3-5 years of teaching experience in quantitative aptitude or related subjects, preferably in a CA/CMA educational setting. Proven track record of helping students succeed in competitive exams. Skills: Strong command of quantitative aptitude concepts and their applications. Excellent communication and presentation skills. Proficient in using educational technology and online teaching platforms. Ability to engage and motivate students. Personal Attributes: Passionate about teaching and mentoring students. Patient, approachable, and supportive. Strong organizational and time-management skills. Committed to continuous learning and professional growth. Application Process: Interested candidates should submit their resume, cover letter, and any relevant teaching credentials or certifications. Shortlisted candidates will be invited for an interview and a teaching demonstration. Work Environment: This position typically involves working in an educational institution, either in a classroom setting or online. Flexibility to work evenings and weekends may be required to accommodate student schedules. Equal Opportunity Employer: [Institution Name] is an equal opportunity employer and welcomes candidates from diverse backgrounds to apply. Job Type: Full-time Pay: ₹15,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Rotational shift Experience: total work: 3 years (Preferred) Work Location: In person

Job Description The Technical Manager is responsible for management of all the technical management activities defined in Customer contract in terms of quality, risk and time from delivery approach preparation through deployment, customer acceptance and care phase. Acts as primary technical interface and first technical escalation point within the Customer project. How You Will Contribute And What You Will Learn Technical contact and reference person for medium and big sized projects. Working together with Project management and technical staff Manages all the technical management activities defined in Customer contract with large business volume and medium/high complexity and risk probability, in terms of quality, risk and time from delivery approach preparation through deployment, customer acceptance and care phase. Leads Technical Managers in respective Market/Region/BG. Ensures Technical Managers on-boarding/off-boarding, defines capability plans and coaches Technical Managers. Participates in Technical Management practice development. Key Skills And Experience You have: Acts as primary technical interface and first technical escalation point within the Customer project*. Ensures operational continuity and smooth execution as well as network availability by implementing proactively BG/BL guidelines and PM@Nokia Methodology. Supports Project Execution Owner (PEO) in project planning and delivery Acceptance. Validates the workload involved and expertise needed related to technical tasks. Ensures resource management related to technical tasks regarding allocation, induction, release and expertise needed. Leads technical activities during execution and care phase, for instance Core Network Implementation, System Acceptance, Multi-Vendor Interface Verification, Fault and Technical Escalation Management, Preventive Care and HW/SW update and upgrade. Performs a Technical Risk Analysis. Proposes and implements risk mitigation actions. Supports Project Execution Owner (PEO) to ensure delivery handover to regular operations and to assure actions have been successfully implemented. It would be nice if you also had: Ensures network availability with Care project team. Identifies new technical management related opportunities to expand contracts with the customer (EG network expansion, new features, software corrections implementations). When applicable supports Solution Managers to review adopted solutions and assumptions.*The term “customer project” refers generally to all forms of Nokia customer contracts; projects with a definitive start and end; and, programs - collections of projects managed together for business benefits which may contain an ongoing operations business. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed.

Job Role: ML Research Engineer - ASR (Automatic Speech Recognition) Experience : 2+ years of experience Location: Chennai, Tamil Nadu About the Company: Kaizen being a reputed company is involved in the business of Kaizen Secure Voiz Private Limited is Six-year young company specializing in unified voice interactions management using latest technologies with Global presence for Supply, implementation, testing and commissioning of voice biometrics solution. KSV has good experience in design, development and implementation of such voice biometrics- based technologies and has enabled multi-channel applications such as mobile applications, voice bots, interactive voice response and call center-based services to target group. KSV has proposed options to customers, keeping the world trend on latest technologies. KSV has deployed similar solutions for various companies and understands domain very well. While KSV has proposed voice biometrics-based Interactions management platform is suitable for further scaling and improvements of customer experience using voice analytics solutions later. The introduction of such automation will not only save huge money for the company, but also exponentially increase the customer experience. Responsibilities: Develop and implement Voice Biometric algorithms and models. Evaluate and analyze the performance of Voice Biometric systems. Implement advanced security measures to protect biometric data and ensure compliance with privacy regulations. Optimize the performance of biometric systems to ensure fast and accurate identification and authentication. Fine-tune algorithms and parameters to improve system efficiency and reliability. Collaborate with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. Stay updated with the latest advancements in Voice Biometric technology and contribute to research activities. Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc Familiarity with data structures, data modelling, and software architecture Excellent time management and organizational skills Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and C code writing. In-depth knowledge of Deep Learning and Machine Learning Algorithms. Strong knowledge of Kaldi, Speechbrain, Wespeaker, 3D-Speaker, Unispeech, Nemo etc. Proficiency in speaker verification, Speaker Identification, Speaker Diarization, Anti-spoofing. Strong programming and algorithm development skills. Ability to work independently and as part of a team. Basic knowledge in signal processing. Job Type: Full-time Pay: ₹700,000.00 - ₹1,000,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 12/07/2025

Promise Academy is a leading IT Training Institute dedicated to empowering students with strong technical and analytical foundations. We offer high-quality coaching for BCA, MCA, MSc IT, and BSc IT programs, aiming to bridge academic learning with real-world application. We are looking for a dedicated and experienced Mathematics Faculty to join our team and deliver engaging and effective lectures to undergraduate and postgraduate IT students. Key Responsibilities: Subject Delivery: Teach Mathematics topics relevant to BCA, MCA, MSc IT, and BSc IT courses (e.g., Discrete Mathematics, Probability, Statistics, Linear Algebra, Calculus, Numerical Methods). Student Engagement: Make mathematical concepts engaging and easier to understand through real-world examples and applications in computing. Doubt Solving: Provide regular support, clarify student queries, and conduct revision sessions. Course Planning: Help in designing and updating the syllabus to align with university curriculum and industry needs. Assessment: Create, conduct, and evaluate assignments, tests, and mock exams. Feedback & Mentoring: Offer guidance to improve students’ analytical skills and academic performance. Qualifications: A Master’s or Bachelor’s degree in Mathematics, Applied Mathematics, Statistics, or a related field. Prior teaching experience at the college or coaching level is preferred. Good understanding of how math concepts apply to computer science and IT fields. Ability to simplify complex mathematical concepts for students with non-math backgrounds. Strong verbal and written communication skills in English and/or Gujarati. Passionate about teaching and committed to student success. What We Offer: A supportive and friendly academic environment Flexible timings (part-time/full-time options) Competitive compensation Opportunities to grow with the institute Job Types: Full-time, Part-time, Permanent Pay: ₹10,000.00 - ₹20,000.00 per month Expected hours: 8 per week Benefits: Cell phone reimbursement Leave encashment Paid sick time Paid time off Schedule: Day shift Evening shift Fixed shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Naranpura, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Education: Master's (Preferred) Experience: Maths Teaching: 2 years (Preferred) Language: English, Hindi, Gujarati (Preferred) Work Location: In person

See applied probabilities come to life as your work plays out on the casino floor. Casino gaming is more exciting than ever, with many games looking like action-packed video games. As Math Technician I, you’ll get a hands-on preview of these exciting new games before they hit the market. Working closely with the Engineering team, the Math Analyst devotes their time to finding solutions and fixing mistakes to ensure that each game works properly. This position is an entry-level opportunity for a graduate with a math background to apply their knowledge of probability, statistics and programming into a real-world application and working in standard game analysis, strategy game analysis, and/or random number generator (RNG) analysis. Location: Noida, India -Office based. We would prefer it if you live in the Noida area. Who We Are… We have been in the gaming industry for over 36 years but pride ourselves on looking forward. GLI is on the cutting edge of casino gaming technology and regulation, guiding clients through a dynamic, ever-changing landscape. We offer the stability of a global leader to both our clients and employees around the world. Why You Should Work Here… Our many talented employees are the key to our success as a market leader. In addition to competitive salaries and benefits and the opportunity to engage with team members around the globe, we consistently invest in and support employee development so that you can continue to grow and succeed as you reach your full potential. What You Will Accomplish Here… A career with GLI opens up new pathways to success. As a worldwide market leader, we offer stability, along with a commitment to fostering your unique talents, allowing you to grow from entry-level to an expert in the field. The Math Analyst’s main focus will be on the following: Testing and Math Analysis Writing programs and performing other analyses to calculate needed mathematical features of games. Writing programs or scripts to manipulate, parse or reorganize large data files into standard formats for testing. Conducting and interpreting statistical testing on game simulation results and on RNG data. Reading and interpreting jurisdictional requirements, consulting appropriately for interpretation. Reviewing the work of others, must be able to feedback in a constructive manner. Reviewing and Documenting Reading and modifying programs and analyses developed by others to meet testing needs. Reviewing, understanding, and documenting source code written in various languages. Writing project reports by summarizing the testing conducted and the results. Carefully reviewing analysis work conducted by others for accuracy. Communicating Externally and Internally Working with external clients, communicating professionally and courteously on topics of a technical nature Effectively communicating and collaborating with other members of the Math Department and other employees Experience, Education, Skills and Credentials: Bachelor’s degree in mathematics, Statistics, Computer Science, or a closely related discipline Associate degree in Mathematics, Statistics, Computer Science, or 3+ years of equivalent experience may be considered. Certification, formal training, or experience may also be evaluated and considered in lieu of educational requirements. Must have knowledge of Probability, Statistics, and Combinatorics Knowledge of a modern, object-oriented programming language such as C++, including appropriate use of object-oriented design is required Must have an understanding of core programming concepts and techniques Knowledge of Microsoft Excel is required Must have the ability to communicate orally and in writing to a high degree of English. Ability to handle and organize multiple projects and deadlines is required Must demonstrate a high degree of attention to quality, details, and correctness Must be able to pass a thorough background investigation Gaming Laboratories International (GLI) is a gaming company. Any of our employees may be required to obtain a gaming license within one or all of the gaming jurisdictions. If you are requested by GLI to obtain a gaming license, your continued employment may be contingent on your ability to obtain that gaming license. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The incumbent may be requested to perform other job-related task and responsibilities than those stated above. GLI is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Job Description: Anti-Spoofing/Liveness Detection Engineer The Anti-Spoofing/Liveness Detection Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts. Main Responsibilities  - Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data. This includes analyzing facial features, eye movements, and other physiological indicators. - Deep Learning Model Development : Build and optimize deep learning models specifically for liveness detection. This ivolves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability. - Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts. This includes texture analysis, motion-based detection, and 3D depth analysis. - Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development. - Algorithm Implementation: Implement machine learning algorithms capable of processing realtime biometric data to detect inconsistencies indicative of spoofing attempts. This includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition. - System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness. - Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency. Required Skills - Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch. Experience in developing deep learning models is essential. - Programming Skills: Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation. - Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques. - Collaboration Skills : Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve common goals. Preferred Qualifications - Experience in similar roles focusing on anti-spoofing or biometric security systems. - Bachelor's degree in Computer Science, Mathematics, or a related field. - Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO. - Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.

Job Role: ML Research Engineer - ASR (Automatic Speech Recognition) Experience : 2+ years of experience Location: Chennai, Tamil Nadu About the Company: Kaizen being a reputed company is involved in the business of Kaizen Secure Voiz Private Limited is Six-year young company specializing in unified voice interactions management using latest technologies with Global presence for Supply, implementation, testing and commissioning of voice biometrics solution. KSV has good experience in design, development and implementation of such voice biometrics- based technologies and has enabled multi-channel applications such as mobile applications, voice bots, interactive voice response and call center-based services to target group. KSV has proposed options to customers, keeping the world trend on latest technologies. KSV has deployed similar solutions for various companies and understands domain very well. While KSV has proposed voice biometrics-based Interactions management platform is suitable for further scaling and improvements of customer experience using voice analytics solutions later. The introduction of such automation will not only save huge money for the company, but also exponentially increase the customer experience. Responsibilities: Develop and implement Voice Biometric algorithms and models. Evaluate and analyze the performance of Voice Biometric systems. Implement advanced security measures to protect biometric data and ensure compliance with privacy regulations. Optimize the performance of biometric systems to ensure fast and accurate identification and authentication. Fine-tune algorithms and parameters to improve system efficiency and reliability. Collaborate with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. Stay updated with the latest advancements in Voice Biometric technology and contribute to research activities. Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc Familiarity with data structures, data modelling, and software architecture Excellent time management and organizational skills Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and C code writing. In-depth knowledge of Deep Learning and Machine Learning Algorithms. Strong knowledge of Kaldi, Speechbrain, Wespeaker, 3D-Speaker, Unispeech, Nemo etc. Proficiency in speaker verification, Speaker Identification, Speaker Diarization, Anti-spoofing. Strong programming and algorithm development skills. Ability to work independently and as part of a team. Basic knowledge in signal processing. Job Type: Full-time Pay: ₹700,000.00 - ₹1,000,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 12/07/2025

SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. LEADERSHIP AND MANAGEMENT RESPONSIBILITIES Recruitment and Retention: · Recruit and interview Process Technicians. · Communicate criteria to recruiters for Process Technician position candidates. · Coach technicians in the interviewing/hiring process. · Monitor team member turnover; identify key factors that can be improved; make improvements. Employee and Team Development: · Identify individual and team strengths and development needs on an ongoing basis. · Create and/or validate training curriculum in area of responsibility. · Coach and mentor Process Technicians to deliver excellence to every internal and external customer. Performance Management: · Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals). · Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member’s contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback. · Express pride in staff and encourage them to feel good about their accomplishments. · Perform team member evaluations professionally and on time. · Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. · Coordinate activities of large teams and keep them focused in times of crises. · Ensure recognition and rewards are managed fairly and consistently in area of responsibility. Communication: · Provide communication forum for the exchange of ideas and information with the department. · Organize verbal and written ideas clearly and use an appropriate business style. · Ask questions; encourage input from team members. · Assess communication style of individual team members and adapt own communication style accordingly. TECHNICAL MANAGEMENT RESPONSIBILITIES · Review circuit board designs for testability requirements. · Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. · Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. · Generate reports and analysis of test data, prepares documentation and recommendations. · Review test equipment designs, data and RMA issues with customers regularly. · Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. · Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. · Determine conditions under which tests are to be conducted and sequences and phases of test operations. · Direct and exercise control over operational, functional, and performance phases of tests. · Perform moderately complex assignments of the engineering test function for standard and/or custom devices. · Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. · Develop or use computer software and hardware to conduct tests on machinery and equipment. · Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. · Provide training in new procedures to production testing staff. · Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. · Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS 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. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate.

SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. · Review circuit board designs for testability requirements. · Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. · Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. · Generate reports and analysis of test data, prepares documentation and recommendations. · Review test equipment designs, data and RMA issues with customers regularly. · Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. · Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. · Determine conditions under which tests are to be conducted and sequences and phases of test operations. · Direct and exercise control over operational, functional, and performance phases of tests. · Perform moderately complex assignments of the engineering test function for standard and/or custom devices. · Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. · Develop or use computer software and hardware to conduct tests on machinery and equipment. · Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. · May provide training in new procedures to production testing staff. · Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. · Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university preferred; or related experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS 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. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate.

Job Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. Responsibilities Assist in collecting, cleaning, and preprocessing data from various sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and implement machine learning models and algorithms. Create data visualizations and reports to communicate findings to stakeholders. Collaborate with team members on data-driven projects and research. Participate in meetings and contribute to discussions on project progress and strategy. Work with large datasets to clean, preprocess, and analyze data. Build and deploy statistical and machine learning models to generate actionable insights. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. Assist in the creation of data visualizations and dashboards for reporting insights. Support the development and improvement of data pipelines and algorithms. Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. Contribute to the documentation and presentation of results, findings, and recommendations. Participate in team meetings, brainstorming sessions, and project discussions. Duration: 2 Months (with the possibility of extending up to 6 months) MODE: Work From Home (Online) Requirements Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits Internship Certificate Letter of recommendation Stipend Performance Based Part time work from home (2-3 Hrs per day) 5 days a week, Fully Flexible Shift

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: 2-5 years of experience. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

Position Title: AVP Corporate Title: AVP Reporting to: VP Location: Bengaluru Job Profile Key Accountabilities Credit Economic Capital Modeling: Support Global and Regional Economic Capital production process. Run, maintain, and update the monthly production processes for generating loan-level Economic Capital results. Perform Monte Carlo simulations of Economic Capital (catastrophic losses that occur in crisis scenarios) using vendor models such as Moody's Risk Frontier. Assist standardization of Economic Capital modeling across ALL regions. Align EC modeling parameters (e.g. quantification of systematic risks in individual credit position, PD/LGD correlation, etc.) Develop/enhance Economic Capital production process. Conduct peer code reviews, promote best coding practice, explore cutting-edge technologies and tools for production process automation. Work with stakeholders and partners across global organization (often with conflicting interests). Develop and promote tools and technology to facilitate stakeholder communications. Credit Risk Framework Manage credit risk appetite and concentrations management limit frameworks. Link credit risk appetite and concentration limits to business strategy (capital/earnings). Support credit portfolio quality vs. current and future economic/market trends. Participate in policy review and updates – in coordination with key regional and global stakeholders. As SME, assist risk identification and materiality measurement within the Americas Region. Credit Loss Forecasting Models Forecast stress credit losses according to preformatted macroeconomic scenarios: Implement and update proprietary credit risk models (e.g. Probability of Default / Loss Given Default / Exposure at Default) for all loan exposures and loan types. Assess and standardize loan data extraction from numerous regional and global systems – supporting credit portfolio modeling. Job Requirements Excellent data analytics skills gained through hands-on experience, including familiarity with large data sets and the tools for data analysis (e.g. R, python, Pandas) Experience using Git/Bitbucket (version control applications) to manage production-level code. Understanding or ability to quickly learn – credit management platform (software) i.e. credit loss forecast models, stress lost forecasting, Monte Carlo loss simulation, etc. Excellent communication skills, oral and written, also interpersonal skills. Experience with statistical tools and techniques (regression models, multivariate analysis, machine learning / deep learning) within financial services Model development capabilities. Experience & Abilities 3+ years work experience with credit analytics (or equivalent) function preferred. 2+ years work experience in/or supporting Front Office function (e.g. credit, markets, etc.) within a major commercial or investment bank, insurance company, or similar international financial business. Understanding of / or direct Experience with cloud computing (i.e. AWS). Active participation in leading/advocating projects. Strong teamwork abilities. Excellent critical thinking, problem-solving abilities. Highly motivated, strong attention to detail, organized Minimum Bachelor’s degree (Masters/PhD welcome) with emphasis on quantitative methods and tools (i.e. Computer Science, Engineering, Finance, other disciplines). Mail to hetal.p@aptita.com

Operations Officer - Portfolio and Strategic Coordinator, GEID Job #: req33687 Organization: IFC Sector: Gender Grade: GF Term Duration: 3 years 0 months Recruitment Type: Local Recruitment Location: New Delhi,India; Hanoi,Viet Nam Required Language(s): English Preferred Language(s): Closing Date: 7/18/2025 (MM/DD/YYYY) at 11:59pm UTC Description IFC — a member of the World Bank Group — is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. IFC is deeply committed to advancing gender equality and economic inclusion as laid out in IFC's 2030 Roadmap for Gender and Inclusion to deliver game-changing private sector partnerships and programs to accelerate gender equality and inclusion in emerging markets. Aligned with the new World Bank Group (WBG) Gender Strategy (2024-30): Accelerate Gender Equality to End Poverty on a Livable Planet, IFC’s Roadmap is built on six priorities offering high potential for impact in and through the private sector. These areas aim to (1) Allocate Capital that Drives Inclusion, (2) Make Supply Chains Inclusive, and (3) Remove Barriers to Entrepreneurship, Employment, and Leadership (including addressing gender-based violence). Equally important are two cross-cutting themes that are foundational to achieving sustainable results across the priority areas and require action: (4) Bridging the Digital Divide; (5) Accelerating Inclusive and Gender-Smart Climate Action; and (6) Ending Gender-based Violence and Harassment. As part of its mandate, IFC has a dedicated team - the Gender and Economic Inclusion (GEI) Department (GEID), that works with IFC’s investment and advisory teams to support private sector clients in providing all genders and underserved communities with equal economic opportunities as leaders, employees, entrepreneurs, consumers, and community members. GEID leads strategy development and implementation for the organization, provides tailored operational solutions and client advice, innovates, and incubates novel approaches, serves a thought leader and disseminator of knowledge on GEI issues, supports mobilization through impact investing and sustainable financing; and forges public and private sector partnerships with the aim of creating economic opportunities and development for all. The Operations Officer - Portfolio and Strategic Coordinator will report to the Regional Lead, Asia, for Gender and Inclusion. Roles and Responsibilities The Operations Officer - Portfolio and Strategic Coordinator plays a vital role in supporting GEID in Asia to deliver on the ambitions of the IFC Roadmap for Gender 2030. Reporting to the Regional Lead, this position ensures gender and inclusion priorities are embedded in regional strategies and programs while supporting IFC teams and clients to drive meaningful impact. 1. Gender Value Creation and Reporting (Gender Flag) Coordination with Regional Industry Teams Overview: The Gender Flag is the International Finance Corporation’s primary tool for identifying investment and advisory projects with gender and economic inclusion components. To trigger a Gender Flag, an investment or advisory project needs to be intentionally designed and implemented with an explicit focus on closing gaps between women and men. GEID will track and report on gender-flagged projects across IFC and provide regular portfolio analyses of IFC’s GEI engagements. Pipeline Screening and Coordination Act as the Gender Flag Lead to address inquiries and provide guidance and quality assurance to regional industry gender teams and portfolio officers. Coordinate across GEID, regional gender industry focal points and global industry gender and sustainability teams to ensure comprehensive screening of investment and advisory projects for gender flag. Conduct quarterly meetings with regional industry teams to review investment and advisory project pipelines for Gender Flag opportunities. Flag Implementation Monitoring Provide quarterly updates on gender-related key performance indicators to regional leadership, including detailed reporting on flagged projects and their gender outcomes. Conduct at least quarterly meetings with regional portfolio and Upstream Advisory Secretariat to monitor gender flags across investment and advisory and ensure 100% screening of all high probability investments and all client facing advisory implementation plans. Capacity Building Support development of resources such as guidance notes and tip sheets to support accurate Gender Flag implementation. Deliver training sessions to enhance staff understanding and effective application of the Gender Flag. Facilitate knowledge sharing with the GEID global Knowledge and learning team to enhance practices in the region. Regional and Country Strategy Provide support for World Bank-IFC strategic joint gender programming in designated “WBG focus countries”. Provide input into World Bank’s Country Partnership Frameworks, IFC’s Country Private Sector Diagnostics, and IFC’s Country Strategies across the region, focusing on analyzing gender gaps and policy impacts on women-led businesses. Partnerships and Donor Reporting Collaborate with regional partnerships teams to strengthen partnerships and support fundraising initiatives. Coordinate with the GEID Partnerships team to ensure alignment in donor engagement strategies. Collect and report data on progress and results to development partners, donors, and stakeholders. Prepare inputs and examples for external donor reports and review regional reporting as needed. Communications Prepare internal briefing materials, talking points, and speeches for regional and senior management. The candidate should be a seasoned candidate with experience working with the private sector and across institutional structures to deliver impactful solutions. S/he routinely delivers initiatives, programs, projects, and integrates the work of others (often multi-disciplinary). S/he confidently delivers quality output and can work independently with limited supervision. S/he can proficiently interact with companies' senior management, development partners and communicate with senior government counterparts and other organizations with confidence on the topic at hand. Selection Criteria Master's degree in economics, finance, business, or other relevant discipline required. At least six years of relevant professional experience in private sector development in emerging markets (required) with increasing levels of decision-making responsibility. Experience in designing and implementing advisory projects, including results frameworks to capture development outcomes and impacts, experience with women’s economic empowerment and inclusion is a plus. Experience and knowledge of the development finance landscape in the region. Broad experience across women’s economic empowerment and economic inclusion topics with a private sector lens and the demonstrated ability to engage with credibility and confidence. Experience working in a highly complex, matrix environment. Ability to self-manage, multitask, and work under time constraints. Strong analytical and problem-solving skills, sound business judgment to identify issues, and present creative and practical solutions. Excellent oral and written communication and interpersonal skills in English, including strong ability to communicate ideas clearly and confidently, articulate issues and recommend solutions. Demonstrated commitment to IFC core values, including excellence, mutual respect, collegiality, teamwork, diversity and inclusiveness, integrity, innovation, transparency, and accountability. WBG Culture Attributes: 1. Sense of Urgency – Anticipating and quickly reacting to the needs of internal and external stakeholders. 2. Thoughtful Risk Taking – Taking informed and thoughtful risks and making courageous decisions to push boundaries for greater impact. 3. Empowerment and Accountability – Engaging with others in an empowered and accountable manner for impactful results. World Bank Group Core Competencies The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities. We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Learn more about working at the World Bank and IFC , including our values and inspiring stories.

We are seeking a highly skilled and analytical Data Scientist with 5+ years of experience in building and deploying advanced machine learning models and delivering actionable business insights. The ideal candidate will have a strong foundation in statistics, machine learning, and data engineering, and the ability to work with large-scale datasets to solve real-world problems. Key Responsibilities Analyze large datasets to extract meaningful insights and develop predictive and prescriptive models using machine learning algorithms. Design, develop, and validate ML models for classification, regression, clustering, and recommendation systems. Perform data wrangling, cleaning, transformation, and feature extraction to prepare datasets for modeling. Work closely with product, engineering, and business teams to understand problems and translate them into data-driven solutions. Create dashboards, reports, and data visualizations to communicate findings clearly and effectively. Deploy models into production environments and monitor performance, retraining when necessary. Stay current with the latest research in AI/ML and apply cutting-edge techniques to business use cases. Required Skills & Qualifications 5+ years of experience in data science, machine learning, or advanced analytics. Strong proficiency in Python or R, along with libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, etc. Proficiency in SQL and experience with data querying in relational and non-relational databases. Experience working with big data platforms (e.g., Spark, Hadoop) is a plus. Solid understanding of statistics, probability, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, Plotly, or Skills : Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow). Exposure to NLP, deep learning, or time series forecasting. Familiarity with Git, Docker, and CI/CD for model deployment. Prior experience in domains such as finance, retail, healthcare, or telecom is advantageous. (ref:hirist.tech)

Technical Skills Background : Bachelors degree in computer science / information technology, or masters degree in Statistics, Economics, Mathematics. Demonstrated experience in independently driving business insights through data and AI. Technical Proficiency Hands-on experience with data tools (e.g., Oracle, SQL Server, MySQL, PostgreSQL, S3 buckets) with ability to work with large data sets. Expertise in writing complex SQL queries for data mining, data manipulation and analysis. Solid understanding of linear algebra, calculus, probability, and optimization techniques Familiarity with cloud database services (AWS RDS, Azure SQL Database) is a must. Solid understanding of atleast one of the areas below : Data Science (K means, Clustering, Multivariate Regression, Logistic Regression, ML algorithms such as RF, GBM / XgBoost, SVM, NLP algos such as TFIDF, Word2vec, LDA, Exploratory Analytics (T-tests), Decision Trees. Familiarity with frameworks like TensorFlow, PyTorch, and Scikit-Learn is a plus. ii. Data Engineering : (Data architecture principles, tuning database performance, including indexing, partitioning, and query optimization, implementing robust backup and recovery strategies, Java, C++, etc.). iii. Data Analysis and Visualization - (SQL, R, Python, Advanced Excel, VBA, React, Angular, Power BI, Tableau) Soft Skills Experience in project management, stakeholder management, and leading multi-disciplinary teams for atleast 3 - 4 years. Problem-Solving Skills Strong analytical and critical-thinking skills. Adaptability : Ability to adapt to innovative technologies and changing requirements Excellent written and oral communication skills with strong ability of Visual storytelling Self-driven individual with ability to be laser focused on delivering outcomes with speed and agility. (ref:hirist.tech)

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up in India which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role We are seeking a talented and motivated student intern for Fixed Income Analyst Role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for banking. Responsibilities Practical assignments associated to fixed income investment and analysis with simulations in: Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Compare investment options such as corporate bonds, fixed deposits, and mutual funds. Quantitative & AI-based Financial Modelling: Develop financial models in Excel, Python, or R to assess risk and return metrics. Implement AI-driven approaches for analyzing credit risk and probability of default. Work on Value at Risk (VaR) simulations and machine learning models for risk assessment. Debt Market & Credit Research: Analyze corporate bond spreads, relative valuations, and structured finance instruments. Conduct data cleaning and visualization for sovereign credit research and CDS time series data. Assist in the structuring and evaluation of project finance and asset-backed securities. Technology & Automation in Finance: Understand Microsoft Excel AI tools for financial modelling. Develop and test AI models for credit derivatives and portfolio risk assessment. Work on FinTech tools like Virtual Risk Analyser and Virtual Portfolio Analyser. Qualifications A student from any academic discipline. Internship Details • Duration: Self paced with option of 1, 2, 3 or 4 months) • Type: Unpaidapplications5@zetheta.ai

See applied probabilities come to life as your work plays out on the casino floor. Casino gaming is more exciting than ever, with many games looking like action-packed video games. As Math Technician I , you’ll get a hands-on preview of these exciting new games before they hit the market. Working closely with the Engineering team, the Math Analyst devotes their time to finding solutions and fixing mistakes to ensure that each game works properly. This position is an entry-level opportunity for a graduate with a math background to apply their knowledge of probability, statistics and programming into a real-world application and working in standard game analysis, strategy game analysis, and/or random number generator (RNG) analysis. Location: Noida, India -Office based. We would prefer it if you live in the Noida area. Who We Are… We have been in the gaming industry for over 36 years but pride ourselves on looking forward. GLI is on the cutting edge of casino gaming technology and regulation, guiding clients through a dynamic, ever-changing landscape. We offer the stability of a global leader to both our clients and employees around the world. Why You Should Work Here… Our many talented employees are the key to our success as a market leader. In addition to competitive salaries and benefits and the opportunity to engage with team members around the globe, we consistently invest in and support employee development so that you can continue to grow and succeed as you reach your full potential. What You Will Accomplish Here… A career with GLI opens up new pathways to success. As a worldwide market leader, we offer stability, along with a commitment to fostering your unique talents, allowing you to grow from entry-level to an expert in the field. The Math Analyst’s main focus will be on the following: Testing and Math Analysis Writing programs and performing other analyses to calculate needed mathematical features of games. Writing programs or scripts to manipulate, parse or reorganize large data files into standard formats for testing. Conducting and interpreting statistical testing on game simulation results and on RNG data. Reading and interpreting jurisdictional requirements, consulting appropriately for interpretation. Reviewing the work of others, must be able to feedback in a constructive manner. Reviewing and Documenting Reading and modifying programs and analyses developed by others to meet testing needs. Reviewing, understanding, and documenting source code written in various languages. Writing project reports by summarizing the testing conducted and the results. Carefully reviewing analysis work conducted by others for accuracy. Communicating Externally and Internally Working with external clients, communicating professionally and courteously on topics of a technical nature Effectively communicating and collaborating with other members of the Math Department and other employees Experience, Education, Skills And Credentials Bachelor’s degree in mathematics, Statistics, Computer Science, or a closely related discipline Associate degree in Mathematics, Statistics, Computer Science, or 3+ years of equivalent experience may be considered. Certification, formal training, or experience may also be evaluated and considered in lieu of educational requirements. Must have knowledge of Probability, Statistics, and Combinatorics Knowledge of a modern, object-oriented programming language such as C++, including appropriate use of object-oriented design is required Must have an understanding of core programming concepts and techniques Knowledge of Microsoft Excel is required Must have the ability to communicate orally and in writing to a high degree of English. Ability to handle and organize multiple projects and deadlines is required Must demonstrate a high degree of attention to quality, details, and correctness Must be able to pass a thorough background investigation Gaming Laboratories International (GLI) is a gaming company. Any of our employees may be required to obtain a gaming license within one or all of the gaming jurisdictions. If you are requested by GLI to obtain a gaming license, your continued employment may be contingent on your ability to obtain that gaming license. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The incumbent may be requested to perform other job-related task and responsibilities than those stated above. GLI is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Job Title: Lead Generation Executive (Client Reachout - Calls and Emails) Location: Noida (Full-Time, Office Role) Salary: ₹2.5-3.5 Lacs per annum About Us: Company Overview: Studio Anasa is a luxury brand renowned for high-end lighting, glass-based furniture, and corporate gifting. With a focus on exceptional craftsmanship and timeless design, we cater to premium B2B and B2C markets. Role Intent: The Lead Generation Executive is responsible for initiating contact with prospective clients via calls and emails, introducing them to our company, and managing the relationship until a quote is submitted. The role focuses on establishing trust, effectively communicating our strengths and portfolio, and positioning the company to secure high-quality leads. The goal is to build a robust, high-probability sales pipeline before handing off to the sales team. Key Responsibilities: Client Outreach & Introduction: Conduct cold calls and send emails to prospective clients within the assigned vertical to introduce our company and its offerings. Own the process of building initial trust and rapport with potential clients, positioning the company as a leader in luxury decorative lighting. Building Initial Client Relationships: Clearly and effectively communicate the strengths, capabilities, and portfolio of our brands. Position the company to secure a lead that results in a quote request from the client. Quote Management & Handoff: Ensure that a detailed and accurate quote is prepared and submitted to the client. Handoff the client relationship to the sales team after the quote submission, ensuring a smooth transition. Pipeline Development: Work towards building a robust sales pipeline with high-probability leads. Regularly report on lead generation progress and pipeline status to the sales management team. Qualifications: 2-4 years of experience in lead generation or sales support, preferably in a B2B environment. Strong communication and interpersonal skills with the ability to build trust quickly. Experience in effectively managing client relationships from the first contact through to the proposal stage. Proactive and organized, with a focus on meeting monthly lead generation and pipeline targets. Why Join Us? Be part of an innovative company in the luxury decorative lighting sector. Play a key role in expanding our client base and driving sales growth within a specialized vertical. Competitive salary with opportunities for career advancement. How to Apply: Please send your resume and cover letter to comms@sutraluminis.com

Position: Data Scientist - II Experience Level: 3-6 Years Industry: E-commerce Location: Vikhroli, Mumbai Employment Type: Full-time Advanced Data Analysis: Conduct in-depth analyses of large datasets from multiple sources, such as clickstream data, sales transactions, and user behavior, to uncover actionable insights. Machine Learning: Develop, implement, and maintain sophisticated machine learning models for use cases including recommendations, personalization, customer segmentation, demand forecasting, and price optimization. A/B Testing: Design and analyze experiments to evaluate the impact of new product features, marketing campaigns, and user experiences on business metrics. Data Engineering Collaboration: Work closely with data engineers to ensure robust, accurate, and scalable data pipelines for analysis and model deployment. Cross-functional Collaboration: Partner with product, marketing, and engineering teams to identify data needs, define analytical approaches, and deliver impactful insights. Dashboard Development: Create and maintain dashboards using modern visualization tools to present findings and track key performance metrics. Exploratory Data Analysis: Investigate trends, anomalies, and patterns in data to guide strategy and optimize performance across various business units. Optimization Strategies: Apply statistical and machine learning methods to optimize critical areas such as supply chain operations, customer acquisition, retention strategies, and pricing models. Required Skills Programming: Proficiency in Python (preferred) or R for data analysis and machine learning. SQL Expertise: Advanced skills in querying and managing large datasets. Machine Learning Frameworks: Hands-on experience with tools like Scikit-learn, TensorFlow, or PyTorch. Data Processing: Strong expertise in data wrangling and transformation for model readiness. A/B Testing: Deep understanding of experimental design and statistical inference. Visualization: Experience with tools such as Tableau, Power BI, Matplotlib, or Seaborn to create insightful visualizations. Statistics: Strong foundation in probability, hypothesis testing, and predictive modeling techniques. Communication: Exceptional ability to translate technical findings into actionable business insights. Preferred Qualifications Domain Knowledge: Prior experience with e-commerce datasets, including user behavior, transaction data, and inventory management. Big Data: Familiarity with Hadoop, Spark, or BigQuery for managing and analyzing massive datasets. Cloud Platforms: Proficiency with cloud platforms like AWS, Google Cloud Platform (GCP), or Azure for data storage, computation, and model deployment. Business Acumen: Understanding of critical e-commerce metrics such as conversion rates, customer lifetime value (LTV), and customer acquisition costs (CAC). Educational Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. Advanced certifications in machine learning or data science are a plus. About Company Founded in 2012, Purplle has emerged as one of India’s premier omnichannel beauty destinations, redefining the way millions shop for beauty. With 1,000+ brands, 60,000+ products, and over 7 million monthly active users, Purplle has built a powerhouse platform that seamlessly blends online and offline experiences. Expanding its footprint in 2022, Purplle introduced 6,000+ offline touchpoints and launched 8 exclusive stores, strengthening its presence beyond digital. Beyond hosting third-party brands, Purplle has successfully scaled its own D2C powerhouses—FACES CANADA, Good Vibes, Carmesi, Purplle, and NY Bae—offering trend-driven, high-quality beauty essentials. What sets Purplle apart is its technology driven hyper-personalized shopping experience. By curating detailed user personas, enabling virtual makeup trials, and delivering tailored product recommendations based on personality, search intent, and purchase behavior, Purplle ensures a unique, customer-first approach. In 2022, Purplle achieved unicorn status, becoming India’s 102nd unicorn, backed by an esteemed group of investors including ADIA, Kedaara, Premji Invest, Sequoia Capital India, JSW Ventures, Goldman Sachs, Verlinvest, Blume Ventures, and Paramark Ventures. With a 3,000+ strong team and an unstoppable vision, Purplle is set to lead the charge in India’s booming beauty landscape, revolutionizing the way the nation experiences beauty.

Promise Academy is a leading IT Training Institute dedicated to empowering students with strong technical and analytical foundations. We offer high-quality coaching for BCA, MCA, MSc IT, and BSc IT programs, aiming to bridge academic learning with real-world application. We are looking for a dedicated and experienced Mathematics Faculty to join our team and deliver engaging and effective lectures to undergraduate and postgraduate IT students. Key Responsibilities: Subject Delivery: Teach Mathematics topics relevant to BCA, MCA, MSc IT, and BSc IT courses (e.g., Discrete Mathematics, Probability, Statistics, Linear Algebra, Calculus, Numerical Methods). Student Engagement: Make mathematical concepts engaging and easier to understand through real-world examples and applications in computing. Doubt Solving: Provide regular support, clarify student queries, and conduct revision sessions. Course Planning: Help in designing and updating the syllabus to align with university curriculum and industry needs. Assessment: Create, conduct, and evaluate assignments, tests, and mock exams. Feedback & Mentoring: Offer guidance to improve students’ analytical skills and academic performance. Qualifications: A Master’s or Bachelor’s degree in Mathematics, Applied Mathematics, Statistics, or a related field. Prior teaching experience at the college or coaching level is preferred. Good understanding of how math concepts apply to computer science and IT fields. Ability to simplify complex mathematical concepts for students with non-math backgrounds. Strong verbal and written communication skills in English and/or Gujarati. Passionate about teaching and committed to student success. What We Offer: A supportive and friendly academic environment Flexible timings (part-time/full-time options) Competitive compensation Opportunities to grow with the institute Job Types: Full-time, Part-time, Permanent Pay: ₹10,000.00 - ₹20,000.00 per month Expected hours: 8 per week Benefits: Cell phone reimbursement Leave encashment Paid sick time Paid time off Schedule: Day shift Evening shift Fixed shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Naranpura, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Education: Master's (Preferred) Experience: Maths Teaching: 2 years (Preferred) Language: English, Hindi, Gujarati (Preferred) Work Location: In person

MSI Services Pvt. Ltd. is currently hiring suitable candidates for the role - “Associate” within our business operations in Bangalore, India. There are several openings in the Sales, Purchase, Imports and Accounting Departments. Summary: Accounts Payable team is responsible for processing and verifying invoices, managing vendor payments, and reconciling accounts. Ensures timely and accurate payments, maintains vendor records, and handles inquiries and discrepancies. Supports month-end closing. Process Associate – Accounts Payable 1. Check all invoices for proper documentation and make an agreement prior to payment. 2. Classify and match invoices and check requests. 3. Set invoices up for payment. 4. Deal with check requests. 5. Prioritize invoices in accordance with the probability of cash discounts as well as other terms of payment. 6. Audit and deal with credit card bills. 7. Classify and match invoices and check requests. 8. Set invoices up for payment. 9. Make replies to all vendor inquiries. 10. Make reconciliations of vendor statements, research and make corrections of discrepancies. 11. Reconcile payments. 12. Prepare accounts analysis. 13. Follow up on accounts to make sure that payments are made on time. 14. Resolve differences in invoices. 15. Ensure files and documentation to be complete and exactly made, complying with the policy of the company and accepted practices on accounting. 16. Give support to other projects when necessary. 17. Maintain vendor files. 18. Communicate with vendors and reply to inquiries. 19. Assist in month end closing. 20. Perform additional duties as required and or requested.