1136 Probability Jobs - Page 7

Position Overview Job Title: Information Security Specialist - AVP Location: Pune, India Role Description The Information Security Analyst is responsible for supporting the execution of the Information Security strategy. The Information Security Analyst provides data and analysis to measure the effectiveness of Information Security controls across group wide products and services. The Information Security Analyst identifies and evaluates potential areas of Information Security threats by assessing the probability and impact and facilitates feedback for mitigation. Roles within Information Security may cover one or more areas of specialty, e.g., Identity & Access Management (which may include, for example, authentication; access management & control; recertification etc.); Information Security (“IS”) Operations (which may for example include, cyber threat operations; cyber forensics, protection against data leakage etc.) and IS Technology (which may include IS architecture, IS engineering, cryptographic services etc.) What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Review Risk Assessment (Application/Technical Risk profile) and Assurance spot checks for Compliance evaluation (e.g., IS/Cloud/SOx/MAS/Client Access Management/other regulatory controls) Analysis and verification of compliance issues Support stakeholder remediation activities Collect and review evidence (e.g., from de-centrally managed applications) Create compliance issue tickets and address issues to responsible stakeholders. Analyze and identify root causes. Provide and prepare data for management communication. Preparing reports for stakeholders and management Improvement and documentation of operational tracking activities Raise Business Requirements to Central Solutions run by other CSO teams. Your Skills And Experience Attitude of diligence and precision Ability to integrate in heterogeneous teams. Proactively driving topics, not shunning to address issues to higher management levels. Structured way of thinking and working Very good communicator Very good analytical and problem-solving skills Very good English (verbal and written) Experience in Excel (advanced) Good German skills beneficial Good Python programming skills beneficial Certifications in ISO 27001 or information security (e.g., CISSP, CISA) beneficial Practical experience in Governance or Compliance Monitoring beneficial. Knowledge about basic principles of Identity and Access Management beneficial How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Position Overview In Scope of Position based Promotions (INTERNAL only) Job title: Corporate Banking Strat Corporate Title: Associate Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. Strategic Analytics Group is responsible for implementing all quant driven analytics within the bank on a common platform. DBC Strats team is a part of global Strats group and works in close collaboration with onshore teams located in New York, London, Frankfurt and Singapore. Within the Strats group, different verticals are aligned with respective business and work very closely with onshore desks to implement and streamline all their functional and regulatory requirements. This strats role is for Corporate Banking business of the bank. The candidate will work in close collaboration with London/New York strats team and business desk on various projects. The candidate is required to understand the business requirement, gather information required for the implementation (data, model, regulations etc.) and provide an end-to-end optimized solution on a scalable platform. Implementation of the projects needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills in order to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities This position is responsible for, but not limited to : Implementation of IRRBB (Interest Rate Risk in Banking Book) regulatory requirements for Corporate Banking Develop a framework to project Net Interest Income for the bank based on banking book trades Identify risk factors and run what-if scenarios to analyze potential loss End of Day Risk and PnL calculation for various products for the Global Transaction Banking business Optimize funding requirements for the business from internal Treasury Optimize institutional loan profiles based on deposits profile and regulatory requirements per region Your Skills And Experience Technical Skills – Strong programming skills in any Object Oriented Programming language (C++//Python) with proven experience of at least 4 years in financial industry or Product based company Good knowledge of Data Structures & Algorithms, Memory optimization etc Experience of working with relational databases (Oracle, Mysql) is a plus Quant/Analytical Skills – Good quantitative skills in Probability, Calculus, Linear algebra Knowledge of Financial products and pricing/risk calculation is a plus Behavioral Skills – Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Inclination to learn Finance and econometrics on the job Educational Qualification – Strong educational background in Engineering/Science, preferably from Tier 1 colleges in India How We’ll Support You Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

At GKM IT, we’re not just building tech — we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven Data Scientist - Senior I who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you. Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products. Requirements 3–5 years of relevant experience as a Data Scientist Design and implement machine learning systems for business use cases Conduct applied machine learning research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

SBI Foundation was launched in 2015 by the State Bank of India to carry out its CSR activities as well as those of its subsidiaries. As the CSR arm of the premier bank of India, SBI Foundation aims to be the leading institution promoting growth and equality responsive to the communities it serves, particularly the vulnerable and marginalized sections of the society. Our CSR activities are widespread and deep-rooted and have made a true difference in the lives of over a million beneficiaries. We are committed to contributing positively to the Sustainable Development Goals (SDGs) by bringing about positive changes in the lives of the underprivileged sections of society. The SBIF Asha Scholarship was launched by SBI Foundation under its flagship program for Education, SBIF Integrated Learning Mission, with the aim to support meritorious students from disadvantaged backgrounds to continue their school and college education. The SBIF Asha Scholarship aims to recognize and reward the brightest young minds of our country, whose socio-economic conditions may otherwise prevent them from continuing their education. In this context, SBI Foundation is hiring an Asst. Manager - Asha Scholarship Program. The individual in this position will focus on planning and execution of the scholarship program. She/He will play a key role in SBI Foundation’s contribution to the implementation of the United Nations 2030 Agenda. Location: Mumbai, India Last day for Application: 27.07.2025 Employment Type: 3-year contractual role and may be renewed for a period of every Two years basis performance and Management’s discretion. Salary: The CTC offered range will be between 6 LPA to 7 LPA fixed, plus an up to 20% variable component linked to your annual performance. The CTC offered will be dependent on your performance in the interview and relevant experience & skill set. This is non-negotiable. Please participate only if you are comfortable with this CTC range. Key Responsibilities: As part of the team, the person in this position will be responsible for the following: Providing support in developing the Scholarship Program, identifying problems and issues to be addressed and initiating corrective actions; liaising with relevant parties; ensuring follow-up action Providing support for planning, budgeting, review of schedule timelines, SPOC for issue management, onsite-offsite coordination and communicating innovative ideas/changes for program management/development activities. Monitoring, evaluating and reporting on tasks assigned to the incumbent, including reporting to partners/funders. Providing support in organizing and preparing written outputs, e.g. draft background papers, analysis, sections of reports and studies, inputs to publications, etc. Coordinating with external agencies onboarded for specific services under the Scholarship program Coordinating with the Marketing & Communications team at SBI Foundation for outreach and communication activities to raise awareness about, and widely disseminate, outputs and findings resulting from the assigned programs Supporting the team in organizing seminars/ roundtables/ workshops/felicitation events/alumni events Key Responsibility Areas will also include: Budget Achievement Meeting budget targets through the year by undertaking tasks as per the budget allocated to the program. Program Management and Delivery Contribute inputs to agencies for effective program delivery Ensure that the program meets objectives, timelines are adhered to and beneficiary are satisfied with the quality of the project delivery Establish a clear understanding of program expectations including on timelines, quality check measures, etc. Effectively communicate with diverse stakeholders, including partner agencies, beneficiaries, SBI local officials, etc. Monitoring and Evaluation Monitor programs regularly by conducting site visits to ensure timely achievement/delivery of targets/results Evaluate the data provided/gathered to track the progress of the program. Estimate the probability of success/failure and take necessary steps to meet the desired outputs Undertake/initiate 3rd party evaluation studies to judge the success of the programs and devise a future course of action Promotion and Branding To conceptualize promotional material and campaigns and coordinate with the SBIF’s MarComm team and SBI Marketing team to ensure the Program get the required visibility and publicity To facilitate coordination between the communications teams from the NGOs and SBIF’s communications team to ensure the Program gets timely visibility on the social media handles of SBI Foundation and SBI Essential Skills Excellent communication skills and writing skills Experienced in developing concept notes and writing proposals, proficient in formal communication, tailors language, tone, style and format to match audience Computer literate in standard software applications Go-getter and self-starter with sound judgment and problem-solving skills Creative problem solver with a rigorous approach and an aptitude for quantitative analysis Preferred Qualities Speaks and writes clearly and effectively, exhibits interest in having two-way communication Demonstrate initiative to solve unstructured problems with little oversight, high energy, innovation and a positive attitude Ability to work in a fast-paced environment with flexibility, efficiency and enthusiasm, both individually and as part of a team. Strong understanding of the development sector and related rules and regulations. Required Qualifications Master’s degree or equivalent in public policy, social sciences, or related areas with a specialization in the field of education, working with children, pedagogy & teaching, etc. Minimum 2 years of experience in project management, preferably projects in the field of Education, especially scholarships Strong understanding of development issues, regulations, and best practices. Note: Due to the high volume of applications, only shortlisted candidates shall be contacted for further correspondence. 🌟 Why Join SBI Foundation? Because We Care About YOU! 🌟 At SBI Foundation, we believe that a fulfilling career is more than just a paycheck—it’s about feeling valued, supported, and inspired. Here’s what makes us stand out: ✨ Performance-Driven Rewards Annual performance-based incentives to recognize and reward your contributions. ✨ Health & Well-Being Comprehensive health and accidental insurance for you and your loved ones because your well-being is our priority. ✨ Everyday Perks That Make a Difference Stay connected with mobile reimbursements. Enjoy delicious meals at the office with our subsidized food facility. Keep learning with support for role-based training programs. ✨ A Culture of Care & Engagement We foster a vibrant workplace where employee engagement takes center stage. Be part of celebrations, initiatives, and programs that create a sense of belonging and collaboration. For more details please visit: www.sbifoundation.in

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

Ready to build the future with AI? At Genpact, we don’t just keep up with technology— we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation -driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Man agement Trainee -Human Resource Analytics In this role, you will act as a Technical Leader for our People Analytics projects Responsibilities Lead the People Analytics Projects Accountable for all technical details of the projects and is expected to run them independently, end to end. Constantly upskilled with latest developments in the field of Machine Learning / Deep Learning Ensure we incorporate Machine Learning / Deep Learning, as applicable. Own entire project life cycle – Data collection, Data clean up and then modelling. Adept in storyboarding project insights Qualifications we seek in you! Minimum qualifications Relevant experience in Machine Learning / Deep Learning . Preferred Qualifications/ Skills Excellent hands-on experience in Machine Learning techniques such as Decision Trees (Random Forest), Support Vector Machines, Regression (Linear & Logistic) Should have hands on experience in Deep Neural network techniques such as RNNs and LSTMs Have worked on NLP. Adept at visualizing data and presenting it to stakeholders. Good with statistical concepts such as Probability Distributions and Hypotheses testing. Should have run Machine Learning / Deep Learning projects on cloud servers and handled large datasets. Good rank on Kaggle competitions is preferred. Excellent communication (verbal & written) skills – should be adept in storyboarding project insights. Languages preferred: Python or R Needs to be independent and self-motivated and comfortable working independently. Experience in ML Ops, Airflow would be an added advantage . Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Management Trainee Primary Location India-Gurugram Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 21, 2025, 1:55:03 AM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: Faculty – Mathematics & Computer Science (MCA Entrance Preparation) Location: East Delhi Employment Type: Part-Time / Visiting Faculty (as applicable) Position Overview: We are seeking dynamic, knowledgeable, and student-focused faculty members to join our team for coaching MCA aspirants targeting CUET PG and NIMCET 2026. The ideal candidate will have strong subject expertise in Mathematics and/or Computer Science , along with a passion for teaching and mentoring students. Key Responsibilities: Design and deliver classroom sessions for Mathematics and/or Computer Science topics as per CUET PG and NIMCET syllabus. Prepare high-quality study material, question banks, practice sets, and mock tests. Conduct doubt-clearing sessions, workshops, and exam strategy discussions. Monitor and track student progress and provide individual academic guidance as needed. Keep up-to-date with exam patterns, syllabus changes, and relevant trends. Contribute to course planning, syllabus development, and continuous content improvement. Engage in student mentorship and motivation to enhance performance and confidence. Collaborate with academic and management teams to ensure smooth course delivery. Subject Areas (one or both): Mathematics: Algebra Calculus Probability & Statistics Set Theory & Logic Coordinate Geometry Trigonometry Matrices & Determinants Discrete Mathematics (as per exam syllabus) Computer Science: Data Structures & Algorithms C Programming Operating Systems Basics Database Management Systems (DBMS) Computer Networks (basic concepts) Computer Architecture fundamentals General Computer Awareness (as per CUET PG & NIMCET syllabus) Required Qualifications: Bachelor's / Master’s degree in Mathematics, Computer Science, MCA, or related field. Proven teaching experience in entrance exam preparation (CUET PG / NIMCET preferred). Strong conceptual clarity and excellent communication skills. Familiarity with recent MCA entrance exam trends and question patterns. Preferred Qualifications: Experience in teaching methodologies. Prior success in coaching top-ranking students. Ability to create digital learning content (PPTs, recorded lectures, etc.) Job Types: Part-time, Contractual / Temporary Contract length: 12 months Pay: From ₹8,000.00 per month Expected hours: 8 – 10 per week Schedule: Day shift Evening shift Supplemental Pay: Yearly bonus Language: English (Required) Work Location: In person Application Deadline: 23/07/2025 Expected Start Date: 24/07/2025

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you’ll be doing ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters. Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We’re excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real-time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. #LI-PS2 Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Domain: Insurance & Finance Experience: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry. Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis. Advanced SQL skills: proficiency in Python is a strong plus. Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modeling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modeling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.

Job description About the Role: This task requires the creation of original, high-difficulty Q&As in the STEM domain that are not easily searchable online ("non-Googleable"). The questions should be designed to challenge advanced high thinking language models and must be accompanied by accurate, detailed step-by-step solutions. Required Qualifications: Masters degree holders in Mathematics. Highly proficient in writing equations and expression in LaTeX format. Excellent command of English with superior academic writing abilities. Deep subject knowledge and consistency in delivering high-quality content within tight deadlines. . Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning . Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Interested candidates please share your CV to : mrana@innodata.com Regards Manvi Rana

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. Job Responsibilities A Data Science Delivery Unit Head, you will oversee project delivery to ensure high quality and client satisfaction, manage client relationships, and lead high-performing teams. You will be responsible for a wide range of engagements listed below: Project Delivery : Accountable for delivery quality for all the projects in the account. Ensures that client deliverables provide material value or impact to client’s businesses, thereby maintaining high levels of contract renewal probabilities. Ensures process for identifying potential risks are in place. Mentors project leaders in the account to develop strategies to mitigate risks. Client Relationship : Builds and maintains strong relationships with clients, understands their needs, manages their expectations, and strives to make them successful in their roles. Leads Monthly Business Reviews with clients and consciously and regularly seeks feedback from clients on the team's performance. Team Management : Builds and leads high-performing project teams. Provides guidance, mentoring, and coaching to team members. Promotes a culture of collaboration, innovation, and continuous learning. Provides both business and technical guidance to the delivery team. Looks for improvements in delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. Ensures that necessary structures, processes, KPIs, scorecards, etc., to ensure quality delivery standards, are adopted as a way of working by everyone in the account. Business Consulting : Engages clients in strategic conversations shows thought leadership. Manages account delivery within the financial levers that help maintain EBITDA. These levers include Gross utilization, recommended designation mix, and billing Project delivery leads where possible. Required Skills (Must have) Tech Intermediate to advance knowledge in Project management methodologies and tools Probability and Statistics Practical Machine Learning, including key pitfalls and approaches to address them. SQL and Python MS Office applications – Excel and PowerPoint Non-Tech: Strong business acumen with an ability to assess financial impact of decisions – both in the operations of running the delivery team and in the context of delivering solutions to clients. Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on-board to pursue them, balancing priorities of time with potential business impact. Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation. Leadership and mentorship to the delivery team. Ability to storyboard presentations effectively and hold conversations with senior executives in client businesses. Self-driven with a strong sense of ownership. Solution proposals, collaborating with growth, customer success and central solutioning functions. Ability to hold conversations with senior and C-suite level executives in client businesses. Preferred Educational Qualification An undergraduate/postgraduate degree in engineering, statistics, mathematics, computer science, or another technical field. 13 to 17 years of relevant prior work experience and technical aptitude will be important.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We seek strong candidates in any field of mathematics and statistics as well as in any interdisciplinary areas where innovative and principled use of statistics and/or probability is of vital importance. Candidates must have a Ph.D. in Statistics or Probability theory from a reputed institution, and a good research record and background. The following sub-areas are currently of special interest: Optimization Technique, Mathematical Modeling and Simulation, Probability and Random Processes Causal Inference, High-dimensional Statistics, Statistics of Networks, Bayesian Inference, Bayesian Computation, Missing Data Analysis, Imputation Methodology, Applied Stochastic Processes, Statistical Modelling of Spatio-temporal Data, Analysis of complex observational data Minimum Eligibility Criteria (all disciplines except design area candidates) ( i ) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and ( ii ) A strong research record with publications in reputed journals and conferences. Associate Professor A minimum of six years post-Ph.D. teaching/research/professional experience of which at least three years should be at the level of Assistant Professor at higher educational institutions. A strong research record as evidenced by publications, external research grants /projects, and experience in doctoral supervision is expected. Application Submission Process Prospective candidates should send an email to dean_faculty@daiict.ac.in with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email: (1) CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature. (2) A research statement giving research background, research outcomes, and future research plans. (3) A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach. Faculty will be responsible for conducting independent research within their respective fields and teaching both undergraduate and postgraduate courses. Candidates with interdisciplinary expertise are strongly encouraged to apply. They will play an important role in contributing to the Institute’s mission through their teaching, research, and participation in various institutional activities. We encourage candidates to visit the Institute website for more information about the courses and research groups, in particular, the Faculty page, to get a sense of the faculty profile .

We seek strong candidates in any field of mathematics and statistics as well as in any interdisciplinary areas where innovative and principled use of statistics and/or probability is of vital importance. Candidates must have a Ph.D. in Statistics or Probability theory from a reputed institution, and a good research record and background. The following sub-areas are currently of special interest: Optimization Technique, Mathematical Modeling and Simulation, Probability and Random Processes Causal Inference, High-dimensional Statistics, Statistics of Networks, Bayesian Inference, Bayesian Computation, Missing Data Analysis, Imputation Methodology, Applied Stochastic Processes, Statistical Modelling of Spatio-temporal Data, Analysis of complex observational data Minimum Eligibility Criteria (all disciplines except design area candidates) ( i ) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and ( ii ) A strong research record with publications in reputed journals and conferences. Assistant Professor Ph.D. with strong research capabilities and a strong passion for teaching at undergraduate and postgraduate levels. Postdoctoral experience is preferred. Application Submission Process Prospective candidates should send an email to dean_faculty@daiict.ac.in with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email: (1) CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature. (2) A research statement giving research background, research outcomes, and future research plans. (3) A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach. Faculty will be responsible for conducting independent research within their respective fields and teaching both undergraduate and postgraduate courses. Candidates with interdisciplinary expertise are strongly encouraged to apply. They will play an important role in contributing to the Institute’s mission through their teaching, research, and participation in various institutional activities. We encourage candidates to visit the Institute website for more information about the courses and research groups, in particular, the Faculty page, to get a sense of the faculty profile .

We run a recruitment agency and help our clients hire top 1% talent. Our client partners with the world’s leading AI research labs to support them with expert talent that helps train cutting-edge language models used in real-world applications. Position: Statistics PhDs – AI Trainer Type: Hourly Contract (Remote) Compensation: $50–$70/hour (based on expertise) Location: Remote, asynchronous, flexible hours Duration: 10–20 hrs/week (extendable to 40 hrs/week) | Minimum 1–2 months Responsibilities Develop advanced statistical problems and tasks to evaluate AI model performance. Assess LLM-generated outputs for correctness, logical rigor, and statistical accuracy. Provide structured feedback to improve model understanding of probability, inference, regression, and related concepts. Collaborate with AI researchers via private Slack channels to refine datasets and benchmarks. Contribute to the creation of domain-specific evaluation sets aligned with modern statistical practices. Requirements PhD in Statistics (or closely related field) from a top university. Undergraduate or graduate education completed Exceptional written and verbal communication skills with a strong command of English. High attention to detail and analytical precision. Ability to work independently in a remote and asynchronous environment. Application & Screening Process Submit your resume and complete a short form. A 20–30 minute screening process involving a quick interview and evaluation of your expertise. Applications reviewed on a rolling basis; early applications encouraged.

Aarki is an AI company dedicated to developing advertising solutions that drive mobile revenue growth. Utilizing AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals alongside our proprietary behavioral models. Our comprehensive audience engagement platform consists of a full-service agency team and a Unified Creative Strategy that offers ad creative ideation and execution services. With a history of working with numerous advertisers over 14 years, we process 5 million mobile ad requests per second from over 10 billion devices, effectively enhancing performance for publishers and brands. Headquartered in San Francisco, CA, we also maintain offices in the United States, EMEA, and APAC. We are currently looking for a dynamic and detail-oriented Senior Manager of Applied Data Science to join our team. As a Senior Manager, you will lead a team responsible for creating and implementing machine learning models and data pipelines to optimize our programmatic demand-side platform (DSP). Collaborating closely with decision science, engineering, and analytics teams, you will drive impactful data science projects and contribute to innovative solutions. Join us in our mission to push the boundaries of AI and mobile advertising within a collaborative environment that encourages creativity and growth. At Aarki, we offer a competitive salary, comprehensive benefits, and substantial opportunities for career advancement. Responsibilities include: - Building, nurturing, and mentoring a high-performing data science team, emphasizing technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines tailored for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance assessment. - Taking ownership of process enhancements throughout the ML lifecycle. - Promoting collaboration with teams in Bangalore and San Francisco, including decision science and bidder engineering, to deploy models into production and conduct experiments. - Ensuring timely project deliveries and swift resolution of model-related issues in production environments. - Designing and managing data pipelines to facilitate the efficient processing of large-scale datasets for training and evaluation. - Collaborating with product managers, engineers, and business stakeholders to seamlessly integrate models into production systems. - Staying abreast of advancements in machine learning and applying cutting-edge techniques to enhance platform capabilities. - Driving innovation by exploring and adopting new methodologies, tools, and technologies. The ideal candidate possesses: - Over 7 years of hands-on experience in data science, with a solid background in machine learning, statistics, and modeling. - More than 3 years of experience in managing teams of data scientists or ML engineers. - Proficiency in Python and SQL, with familiarity in Spark being advantageous. - Expertise in ML libraries like Scikit-Learn, LightGBM, TensorFlow, and PyTorch. - Profound understanding of probability, statistical analysis, and experimental design. - Demonstrated expertise in deploying ML models into production and ensuring continuous model observability. - Exceptional communication skills enabling the effective explanation of complex concepts to both technical and non-technical audiences. - Knowledge of RTB, auction theory, and high-throughput low-latency environments is a plus.,

The Computer Vision Engineer position in Pune, India requires an individual with 3+ years of experience who is passionate about joining a dynamic startup team. As a Computer Vision Engineer, your primary responsibility will be to conduct research, develop, maintain, and create scalable CV/ML technologies capable of analyzing video feeds of users engaging in online sessions while identifying anomalies. To qualify for this role, you should possess a BS/MS degree in Computer Science or have equivalent industry and/or research experience in areas such as Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficiency in C/C++ and Python, along with a strong background in a Linux environment is essential. Experience with tools like OpenCV, Numpy, SciPy, Sklearn, and GIT is also required. Desirable skills include expertise in image classification, segmentation, and autonomous feature learning, as well as a solid grasp of linear algebra, optimization, probability, and statistics. Additionally, knowledge of software architecture, API design, parallel programming, and Vision applications will be advantageous. Effective communication skills to convey technical information clearly to both technical and non-technical audiences are crucial for this role. The position is full-time and offers competitive compensation based on experience, including salary and benefits.,