1172 Probability Jobs - Page 24

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern for Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence. About the Internship: As a debt investment banking intern, you will work on cutting-edge projects involving Debt Investment Banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas. It is a high-impact, portfolio-building opportunity that provides valuable industry experience. Key Responsibilities Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Debt Investment Strategies: Compare different investment options, including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds. Risk & Portfolio Management Macaulay & Effective Duration: Assess interest rate risks in structured finance instruments, considering prepayment risk. Interest Rate Risk & Convexity: Quantify bond price sensitivity to market changes. Value at Risk (VaR): Develop machine learning models to estimate portfolio risk. Virtual Risk Analyser: Evaluate AI-driven risk profiling tools for investors. Credit Research & Risk Analysis Credit Research on Sovereign Bonds: Clean and economic data to assess Sovereign risk profile. Probability of Default Modelling: Build AI-driven models to predict corporate bond defaults. Quantitative Finance & AI in Debt Markets Zero-Coupon Yield Curve: Construct and analyse yield curves from market data. AI in Microsoft Excel: Understand tools to enhance financial modelling. Investment Banking & Structured Finance Credit Spread Analysis: Examine spreads between investment-grade and high-yield corporate bonds. Asset-Backed Securities (ABS): Evaluate risks and returns of different ABS types (credit cards, auto loans, etc.). Project Finance Modeling: Determine optimal bond issuance for a solar power project. What You Will Learn: Practical exposure to debt investment banking with multi-functional area experience. Strong analytical and financial modelling skills through simulations. Enhanced presentation and communication skills. Knowledge of AI applications in finance. Who Should Apply? Student of fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, option for 1 month or 2 month (within a period of 4 months provided). Type: Unpaid

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: Experience level is 0-5 years /freshers, with a a strong GIT repository can apply for this job. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

Who are we? Securin is a leading product based company backed up by services in the cybersecurity domain, helping hundreds of customers world wide gain resilience against emerging threats. Our products are powered by accurate vulnerability intelligence, human expertise, and automation, enabling enterprises to make crucial security decisions to manage their expanding attack surfaces. Securin is built on the foundation of in-depth penetration testing and vulnerability research to help organizations continuously improve their security posture. Our team of intelligence experts is one of the best in the industry and our comprehensive portfolio of tech-enabled solutions include Attack Surface Management (ASM), Vulnerability Intelligence (VI), Penetration Testing, and Vulnerability Management. These solutions allow our customers to gain complete visibility of their attack surfaces, stay informed of the latest security threats. Also, trends, and proactively address risks. What do we promise? We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritised remediation for every one of our client businesses. What do we deliver? Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks. Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry. Job Location : IIT Madras Research Park, A block, Third floor, 32, Tharamani, Chennai, Tamil Nadu 600113 Work Mode: Hybrid, Work from office - Chennai, 2 days a week Compensation : Up to 30LPA Job Title: Senior Software Engineer (With Machine Learning Experience) Job Description: We are seeking a skilled and motivated Python Engineer with 5+ years of professional experience , including at least 2 years of hands-on experience in Machine Learning (ML) . The ideal candidate will possess strong Python development skills, a deep understanding of object-oriented programming (OOP), and practical experience with NoSQL databases, especially MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is also required. This role is perfect for a developer who is not only proficient in backend engineering but also enthusiastic about applying ML concepts in real-world applications. You’ll work closely with cross-functional teams to develop and optimize scalable, reliable, and maintainable Python-based solutions. Responsibilities : Design, develop, and maintain Python applications with a focus on performance and scalability. Design systems with non-linear time complexity and efficient space usage across compute and storage. Ensure stateless, idempotent request processing with no in-memory state. Model schemas for future evolution, supporting increasing data volume and structural changes. Build and operate cloud-based SaaS applications with a focus on production reliability. Design includes not only functional code but also integrated monitoring, alerting, and health checks to ensure observability and operational excellence in a multi-tenant environment. Apply object-oriented programming (OOP) principles to craft reusable, modular code. Develop, implement, and optimize machine learning models in production environments. Leverage NoSQL databases like MongoDB for efficient data storage and retrieval. Work with cloud platforms (AWS, GCP, Azure) for application deployment and data services. Write and maintain robust unit and integration tests using test-driven development (TDD) practices. Participate in the full software development lifecycle — from requirements gathering to deployment. Collaborate with cross-functional teams, participate in Agile ceremonies, and contribute to technical discussions. Engage in code reviews and mentor junior team members where appropriate. Stay updated with emerging trends in Python development, machine learning, and software engineering best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. At least 2 years of hands-on experience with Machine Learning (model development, evaluation, and deployment). Strong understanding of OOP principles and real-world software design. Experience working with NoSQL databases, particularly MongoDB. Familiarity with TDD practices and writing unit tests. Practical experience with cloud platforms (AWS, GCP, or Azure). Proficiency with version control systems such as Git. Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. A proactive, self-motivated attitude with a passion for continuous learning. Preferred Qualifications: Hands-on experience in AI concepts including LLMs, prompt engineering, or traditional AI. Strong grasp of supervised, unsupervised, and reinforcement learning with practical experience in key ML algorithms (e.g., regression, SVMs, neural networks, clustering). Proficient with ML frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Solid foundation in math (linear algebra, calculus, probability, statistics) and understanding of optimization and loss functions. Experience with model serving using Flask, FastAPI, or TensorFlow Serving. Experience with Python ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Knowledge of Agile/Scrum methodologies and collaborative development workflows. What We Offer: A collaborative and innovative team environment. Opportunities to work on AI/ML-powered products and projects. Ongoing learning and career development opportunities. A dynamic culture focused on growth, curiosity, and problem-solving. If you're a Python developer with a strong foundation and a growing passion for machine learning, we’d love to hear from you! Why should we connect? We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion. At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home. If you are passionate about cybersecurity just as we are, we would love to connect and share ideas.

We are seeking a highly skilled and passionate Equity Derivatives Trader who has hands-on experience in live market trading and holds an active NISM Series VIII (Equity Derivatives) certification . The ideal candidate should have a strong track record in intraday and positional trading, risk management, and market analysis. Key Responsibilities: Execute trades in equity & derivatives segment with precision and strategy. Analyze market trends and implement high-probability trading setups. Maintain risk-reward ratio as per trading guidelines. Daily reporting of trades and P&L performance. Coordinate with research and strategy team (if applicable). Required Skills & Qualifications: Minimum 5 years of experience in equity/derivatives trading. NISM Series VIII (Equity Derivatives) certification is mandatory. Strong knowledge of technical and fundamental analysis. Discipline in capital management and trade execution. Must be up to date with SEBI regulations and compliance. Experience with trading platforms like Zerodha, Upstox, Motilal Oswal,Angel One etc. Preferred Qualities: Self-motivated and consistent performer. Passion for markets and continuous learning. Comfortable with high-pressure situations. Good communication and reporting skills. Perks & Benefits: Performance-based incentives/profit sharing. Opportunity to grow in a scalable trading setup. Flexible working hours (for the right candidate). Exposure to multiple asset classes. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - 10+ years of business development, partner development, sales or alliances management experience AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the world’s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies – are using AWS globally to become more agile, innovate faster and lower costs. We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications. You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more. You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture. Key job responsibilities Key job responsibilities • Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. • Ensure customer satisfaction through business value creation. • Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. • Meet or exceed your quarterly and yearly goals. • Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. • Act as an executive sponsor in key accounts. • Represent the company in professional events. About the team AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Experience working with/ for GenAI startups or in AIML domain Experience developing GTM plans for GenAI startups Understanding of GenAI offerings, use cases Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title : Computer Vision Engineer. Location : Gachibowli. Experience : 1-3 years. Employment Type : Full-time. About The Role We are looking for a passionate and skilled Computer Vision Engineer to join our cutting-edge simulation and defense technology team. Role This role is instrumental in building next-generation simulation environments that incorporate AI, computer vision, and immersive sensory realism for military training and war-gaming Strategic Objectives : Develop modular AI/ML-enhanced simulation blocks to support complex virtual training scenarios. Build real-time Computer Vision/Image Processing capabilities for enhanced situational awareness. Improve sensory realism including vision, sound, and motion to deliver truly immersive experiences. Enable adaptive learning and behavioral modeling for intelligent virtual entities. Contribute to the realization of a Military War Room / Gaming Command Centre with dynamic, data-driven Responsibilities : Design and implement AI/ML models tailored for simulation use-cases. Integrate image processing and computer vision techniques into real-time simulation pipelines. Collaborate with domain experts to translate training and tactical requirements into virtual environments. Optimize system performance for real-time execution and immersive responsiveness. Prototype and deploy modules involving visual perception, motion prediction, and behavioral : Strong mathematical foundation in Linear Algebra, Calculus, Probability, and Optimization. Proficiency in Python and/or C/C++ for simulation and ML development. Demonstrated understanding of AI/ML algorithms and computer vision : Experience with OpenCV, YOLO, SLAM, depth estimation techniques. Familiarity with NVIDIA NVAPI, CUDA programming, or real-time graphics APIs. Background in developing simulations or real-time systems in gaming, defense, or robotics We Offer : Opportunity to work on impactful, mission-critical defense simulation projects. A collaborative team of engineers, data scientists, and defense experts. Continuous learning and access to the latest technologies in AI, ML, and simulation. (ref:hirist.tech)

Job Description : Machine Learning Engineer LLM, Agentic AI, Computer Vision, and MLOps Location : Ahmedabad Experience : 4 to 6 years Employment Type : Us : Responsibilities Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, wed love to have you on Responsibilities : Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency. Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation. Integration: Work closely with software and product teams to integrate models into production-ready applications. Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data. Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices. Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI. DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place. Technical Mentorship: Support and mentor junior ML and data : Core Technical Skills Strong Python skills for machine learning and computer vision. Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV. Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN). Strong knowledge of NLP tasks, image/video processing, and real-time inference. Experience in cloud platforms: AWS, GCP, or Azure. Familiarity with Docker, Kubernetes, and serverless deployments. Proficiency in SQL, Pandas, NumPy, and data wrangling & MLOps Skills : Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc. Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Familiarity with container orchestration and Kubernetes-based ML model deployment. Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon. Understanding of model versioning, model registry, and automated testing/validation in ML workflows. Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK Skills (Good to Have) : Knowledge of Agentic AI systems and use cases. Experience with generative models (e.g., GANs, VAEs) and RL-based architectures. Prompt engineering and fine-tuning for LLMs in specialized domains. Working with vector databases (e.g., Pinecone, FAISS, Weaviate). Distributed data processing using Apache Spark, Skills : Strong foundation in mathematics, including linear algebra, probability, and statistics. Deep understanding of data structures and algorithms. Comfortable handling large-scale datasets, including images, video, and multi-modal Skills : Strong analytical and problem-solving mindset. Excellent communication skills for cross-functional collaboration. Self-motivated, adaptive, and committed to continuous learning (ref:hirist.tech)

Job Description Join our dynamic and growing team in Internal Audit and get an opportunity to work with multiple line of business. Job Summary As a Commercial and Investment Banking Markets Audit Associate in our Internal Audit group, you will be part of audit engagement to perform, execute and document audit testing, partner closely with global Audit colleagues and business stakeholders, and use judgment to strengthen internal controls. The role provides the opportunity to develop a detailed understanding of Commercial and Investment Banking Markets business, specifically Credit Trading, Securitized Product Group (SPG), and Public Finance businesses, including electronic trading. Job Responsibilities Participate in all aspects of audit activities including risk assessments, audit planning, audit testing, control evaluation, issue drafting, and follow up and verification of issue closure, in close partnership with and support of senior auditors and/or audit managers, and ensuring audit assignments are completed timely and within budget. Work closely with global Markets audit colleagues in the early identification of emerging control issues and reporting them timely to Audit management and business stakeholders. Meet deliverables and adhering to department standards. Stay up-to-date with evolving industry changes and market events impacting Markets business. Develop recommendations to strengthen internal controls and improve operational efficiency Take ownership of self-development, including stretch assignments, to prepare for greater responsibilities and career growth, and take initiative to seek out opportunity for continued learning Implement and execute an effective program of continuous auditing for assigned areas, including monitoring of key metrics to identify control issues and adverse trends. Stay up-to-date with evolving industry/regulatory developments impacting the business. Demonstrate and maintain technical competency. Required Qualifications, Capabilities And Skills Minimum 5 years of internal or external auditing experience, or relevant business experience. Minimum Bachelor's degree (or relevant financial services experience) Ability to operate as an effective auditor, you will have a solid understanding of internal control concepts and the ability to evaluate and determine the adequacy of controls for a given set of risks Experience with internal audit methodology and applying concepts in audit delivery and execution Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners, while also influencing the actions of the business to improve its control environment. Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Proven ability to multi-task and prioritize effectively and drive efficiency with existing technical infrastructure through automation while embracing the innovative opportunities offered by new technologies Preferred Qualifications, Capabilities And Skills Chartered Accountant or equivalent, Certified Internal Auditor, and/or Advanced Degree in Finance or Accounting Relevant working experience in Markets business. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. About Us Netradyne, an innovator in fleet and road safety technologies, utilizes the potential of Artificial Intelligence and Edge Computing to transform the transportation ecosystem. By adopting Netradyne's vision-based technology, organizations have achieved remarkable results, such as a 50% reduction in road accidents and over 90% decrease in dist racted driving incidents, while also excelling in other performance indicators. With its headquarters in Bangalore and San Diego, Netradyne’s Driver I assists organizations in enhancing safety, boosting driver retention, increasing profitability, and facilitating transparency Job Title: Staff Data Scientist Experience: 5 to 8 years Job Responsibilities: As a Staff Data Scientist, you will be an integral member of our cross-functional team consisting of Data Scientists, Engineers, and Analysts. Your primary responsibilities will include: Collaborating closely with cross-functional teams to identify and implement data-driven solutions addressing key business challenges. Applying advanced statistical methods, machine learning and deep learning techniques to uncover trends, patterns, and anomalies in large-scale datasets. Design, develop and deploy production ready scalable solutions on edge, cloud or both (hybrid) that utilizes Signal Processing, Gen-AI, DNN, Traditional ML models or/and data-driven rules. Creating robust frameworks and tools to automate and enhance data mining, labeling, model training, and validation processes for internal ML/DL initiatives. Conducting studies, setting up automation tools and frameworks, and regularly publishing internal and external KPI audits. Requirements: B. Tech, M. Tech or PhD in Data Science, Computer Science, Electrical Engineering, Operations Research, Statistics, Mathematics or a related area. Strong foundational knowledge in Statistics, Probability Theory, Machine Learning, Gen-AI and Signal Processing. Excellent programming skills – Python(required) and C++ (desired), with strong fundamentals in object-oriented programming, algorithms, and data structures. Hands-on experience in handling edge deployments targeting various HW platforms. Good understanding of database internals and schema design for relational (RDBMS) and non-relational (NoSQL) data stores. Exposure to AWS cloud services, including Kinesis, SQS, EKS, Auto Scaling Groups, etc. Knowledge of best practices in software development, including version control, testing, and continuous integration. Desired skills: Experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX. Experience in embedded platforms, make files, build systems, and familiarity with Jenkins. Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. Experience with MLOps tools and practices for continuous deployment and monitoring of AI models. We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

JOB DESCRIPTION Join our dynamic and growing team in Internal Audit and get an opportunity to work with multiple line of business. Job Summary As a Commercial and Investment Banking Markets Audit Associate in our Internal Audit group, you will be part of audit engagement to perform, execute and document audit testing, partner closely with global Audit colleagues and business stakeholders, and use judgment to strengthen internal controls. The role provides the opportunity to develop a detailed understanding of Commercial and Investment Banking Markets business, specifically Credit Trading, Securitized Product Group (SPG), and Public Finance businesses, including electronic trading. Job Responsibilities Participate in all aspects of audit activities including risk assessments, audit planning, audit testing, control evaluation, issue drafting, and follow up and verification of issue closure, in close partnership with and support of senior auditors and/or audit managers, and ensuring audit assignments are completed timely and within budget. Work closely with global Markets audit colleagues in the early identification of emerging control issues and reporting them timely to Audit management and business stakeholders. Meet deliverables and adhering to department standards. Stay up-to-date with evolving industry changes and market events impacting Markets business. Develop recommendations to strengthen internal controls and improve operational efficiency Take ownership of self-development, including stretch assignments, to prepare for greater responsibilities and career growth, and take initiative to seek out opportunity for continued learning Implement and execute an effective program of continuous auditing for assigned areas, including monitoring of key metrics to identify control issues and adverse trends. Stay up-to-date with evolving industry/regulatory developments impacting the business. Demonstrate and maintain technical competency. Required qualifications, capabilities and skills Minimum 5 years of internal or external auditing experience, or relevant business experience. Minimum Bachelor's degree (or relevant financial services experience) Ability to operate as an effective auditor, you will have a solid understanding of internal control concepts and the ability to evaluate and determine the adequacy of controls for a given set of risks Experience with internal audit methodology and applying concepts in audit delivery and execution Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners, while also influencing the actions of the business to improve its control environment. Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Proven ability to multi-task and prioritize effectively and drive efficiency with existing technical infrastructure through automation while embracing the innovative opportunities offered by new technologies Preferred qualifications, capabilities and skills Chartered Accountant or equivalent, Certified Internal Auditor, and/or Advanced Degree in Finance or Accounting Relevant working experience in Markets business. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.

Job Title : Data Scientist Location : [Nagercoil] Job Type : Full-time Experience : 1-3 years (Freshers with good academic background can also apply) Salary : [1.5 - 2.5] LPA About the Role We are seeking a talented and analytical Data Scientist to join our team. You will be responsible for turning raw data into actionable insights that guide strategic decisions and product improvements. Ideal candidates should have strong problem-solving skills, proficiency in data science tools, and a passion for working with data. Key Responsibilities : Analyze large volumes of structured and unstructured data to find patterns and trends Build predictive models and machine learning algorithms Work closely with business teams to identify opportunities for leveraging data Communicate findings effectively through reports, dashboards, and visualizations Perform data cleaning, validation, and preprocessing Develop A/B testing frameworks and analyze test results Collaborate with software engineers and analysts to implement data-driven solutions Required Skills : Strong knowledge of Python or R for data analysis and machine learning Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch Proficiency in SQL for data querying Hands-on experience with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn Understanding of statistics, probability, and algorithms Excellent analytical and problem-solving skills Preferred Qualifications : Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field Experience with big data tools like Hadoop or Spark is a plus Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Schedule: Day shift Work Location: In person

Job Title: Assistant Vice President – Model Validation Location: Bengaluru Reporting To: Head – Model Risk Management Position Type: Full-time About the Role As AVP – Model Validation , you will be an integral part of the Enterprise Risk Management (ERM) function, responsible for independent validation of quantitative models used across asset classes and risk types. You will play a key role in assessing, challenging, and enhancing the robustness of risk models, ensuring they meet regulatory expectations and global best practices. Key Responsibilities Conduct independent initial and periodic validations of quantitative risk models (including derivatives pricing, market risk, credit risk, and capital models). Develop, prototype, and document challenger models for validation. Perform quantitative analysis of model assumptions, data, and outputs. Review model documentation and test the accuracy of numerical implementations. Ensure adherence to model governance policies and regulatory guidelines. Prepare comprehensive validation reports with clear recommendations. Track and verify remediation of identified model issues. Required Experience & Skills Experience Essential: Prior experience in quantitative model development or validation in areas such as: Market Risk Models Counterparty Credit Risk Models Derivatives Pricing Models Preferred: Exposure to: Regulatory/Economic Capital Models Corporate Credit Risk Models (e.g., IRB, PD/LGD/EAD) AI/ML Model Risk Technical Skills Strong foundation in applied mathematics, probability theory, and statistics. Knowledge of financial products and their risk characteristics. Proficient in Python or R for model analysis and development. Familiarity with numerical methods and simulations. Awareness of current trends in financial modeling and risk management. Additional/Preferred: Experience with C++ or C# is an added advantage. Understanding of regulatory capital frameworks for credit and market risk. Education & Qualifications Postgraduate degree in a quantitative field such as: Statistics Mathematics Mathematical Finance Econometrics

Role Description This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals. Key Responsibilities Conduct complex data analyses to identify trends, patterns, and insights. Utilize statistical methods and machine learning techniques to forecast future trends. Advanced analytics, machine learning, AI Model development, training, and deployment (MLOps) Business insights using statistical and predictive modelling. Building scalable, reliable data pipelines Creating and managing data lakes, data warehouses ETL/ELT workflows Ensuring data quality, governance, and lineage. Dedicated leadership (Practice Head or CoE Lead). Defined service offerings and case studies. Reusable assets and accelerators and regular internal training and certifications. Client wins and repeatable success stories. Required Skills And Qualifications 7+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. (ref:hirist.tech)

Job Description This role is for an experienced audit professional to join the Commercial and Investment Banking (CIB) Business Audit Team reporting to Commercial and Investment Banking Audit lead in Mumbai and Commercial and Investment Banking Compliance Audit lead in New York. Job Summary As a Commercial and Investment Banking Compliance Audit Associate based in Mumbai as part of the CIB Compliance Audit team, you will provide coverage of Commercial and Investment Banking Compliance activities, including compliance with various US and international rules and regulations, other corporate functions including control management, marketing & communications, and legal and regulatory related activities, by evaluating the adequacy and effectiveness of the control environment across regions. This will be accomplished through a risk-based audit coverage program, managed and executed by a team of business and technology audit specialists. You will be involved in audit engagements, performing and documenting audit testing, and partnering closely with global Audit colleagues and business stakeholders. The role will require you to use your judgment to enhance internal controls, and offer you the chance to gain a comprehensive understanding of key CIB central functions and controls, and the related regulatory landscape. Job Responsibilities Participate in all aspects of audit activities including risk assessments, audit planning, audit testing, control evaluation, issue drafting, and follow up and verification of issue closure, in close partnership with and support of senior auditors and /or audit managers, and ensuring audit assignments are completed timely and within allocated budget Work closely with CIB Compliance Audit colleagues in the early identification of emerging control issues and reporting them timely to Audit management and business stakeholders while adhering to audit standards Develop recommendations to strengthen internal controls and improve operational efficiency Take ownership of self-development, including stretch assignments, to prepare for greater responsibilities and career growth, and take initiative to seek out opportunity for continued learning Build and maintain strong working relationships with stakeholders, business management, other control groups while maintaining independence Stay up-to-date with evolving industry / regulatory changes and market events impacting the business and demonstrate technical competency. Required Qualifications, Capabilities And Skills Minimum 5 years of internal or external auditing experience, or relevant business experience Minimum Bachelor's degree (or relevant financial services experience) Ability to operate as an effective auditor, with a solid understanding of internal controls and the ability to evaluate and determine the adequacy of controls for a given set of risks Experience with internal audit methodology and applying concepts in audit delivery and execution Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners, while also influencing the actions of the business to improve its control environment Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Proven ability to multi-task and prioritize effectively, and drive efficiency with existing technical infrastructure through automation, while embracing the innovative opportunities offered by new technologies Enthusiastic, self-motivated, effective under pressure and willing to take personal risk and accountability Ability to work well individually, and in teams, share information, support colleagues and encourage participation. Preferred Qualifications, Capabilities And Skills Chartered Accountant or equivalent, Certified Internal Auditor, and/or Advanced Degree in Finance or Accounting Relevant working experience in Commercial and Investment Banking business ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.

Position Overview Job Title: Divisional Risk and Control Location: Pune, India Corporate Title: AVP Role Description The 1st line Tech Risk and controls function at Deutsche sits within the Group Technology Infrastructure (GTI) for Deutsche Bank Group. GTI has the largest footprint within the Technology, Data and Innovation division and is joined by other business-aligned CIO IT divisions. The Tech Risk and Controls is a dynamic team, consistently in demand, for providing guidance and challenge to deliver change and maintain systems in a secure and resilient manner. As part of the team, you will join the Bank’s journey and contribute towards our strategic goal of cloud enabled solutions as well as activities that improve our operational resilience and risk reduction. Specifically, you will bring expertise to Control definition and assessments capability across IT Infrastructure, SDLC and Architecture domains supporting a proactive risk management function. It will therefore also include providing change risk advisory services for transformational change programs undertaken by or impacting GTI. You will liaise with other risk and control functions, on a management level to assure the integration of risk initiatives and projects. You will also support Regulatory Adherence and Policy Management function within TDI Risk Management. Its purpose is to provide oversight and supervision of new & changed material regulation impacting TDI, including full traceability to derived DB-specific Policies, Procedures, Key Operating Documents and Supporting Documents. 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 Risk & Control Management Identify and evaluate potential areas of non-compliance or risk, assessing impact, probability and present findings and proposals for risk mitigation measures. Support the delivery of the risk and control initiatives. This includes participation in risk and control activities, risk-based control reporting of key issues, performance and validation of cyclical activities such as annual control self-assessments. Work closely with teams in and out of the division to understand risks impacting the group. Align internal Deutsche Bank policies/procedures against industry recognized framework to strengthen the control framework and its implementation for both within the Bank and our 3rd party vendor relationships Ensure management transparency by way of timely risk reporting and proactive engagement and representing controls team at different governing forums Regulatory Adherence and Policy Management Coordination of regulatory adherence assessments across sub-divisions within TDI and management and review of Policies, Procedures, Key Operating Documents, Supporting Documents within TDI. Engage with stakeholders across TDI and other (e.g. 2nd line of defence) divisions in reviewing, assessing, and documenting the impact of regulations and ensuring remedial actions are established and monitored. Steer and support the publication of a consistent set of global and local Policies, Procedures, Key Operating Documents and Supporting Documents relating to Information Technology from laws, rules, and regulations. Risk remediation and Change Risk Advisory Support the Head of TDI GTI Risk Management in assessing risks related to strategic changes within the GTI Organization Proactively monitor risk landscape shift within the industry to identify transformation project opportunities to insulate Deutsche Bank from any potential risk exposure e.g., Production design life cycle, application and infrastructure architecture and its resilience Stakeholder Management – Identify, Partner and Collaborate Work with relevant stakeholders to identify and assess controls gaps related to technology risk - measure and mitigate them in a timely manner Align with COO Division Control Office (DCO) team and NFRM (2nd LoD) ensuring successful and consistent implementation of the established control framework. Promote and support proactive IT risk culture at the Bank. Desired Experience Your skills and experience Minimum 5 years of experience as Risk and Control Lead in designing and implementation of Technology risk framework or IT Audit in a global organization. Experience in a regulatory oversight, assurance, or policy management function within technology. Or have suitable compliance or audit background within infrastructure (and preferably IT & Information Security). Extensive experience regarding development, training and implementation of IT Policies, Procedures, Key Operating Documents and Supporting Documents. Good understanding of Industry best practices such as NIST, COBIT, ITIL and ISO 27001 Other professional qualifications and certifications in Technology risk management Desired behaviors A strong team player comfortable in a cross-cultural and diverse operating environment Result oriented and ability to deliver under tight timelines Ability to successfully resolve conflicts in a globally matrix driven organization Excellent communication and collaboration skills Desire to learn about new and emerging technologies and continuous upskilling Must be comfortable with navigating ambiguity to extract meaningful risk insights How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title: Divisional Risk and Control Analyst Location: Pune, India Corporate Title: Associate Role Description The 1st line Tech Risk and controls function at Deutsche sits within the Group Technology Infrastructure (GTI) for Deutsche Bank Group. GTI has the largest footprint within the Technology, Data and Innovation division and is joined by other business-aligned CIO IT divisions. The Tech Risk and Controls is a dynamic team, consistently in demand, for providing guidance and challenge to deliver change and maintain systems in a secure and resilient manner. As part of the team, you will join the Bank’s journey and contribute towards our strategic goal of cloud enabled solutions as well as activities that improve our operational resilience and risk reduction. Specifically, you will bring expertise to Control definition and assessments capability across IT Infrastructure, SDLC and Architecture domains supporting a proactive risk management function. It will therefore also include providing change risk advisory services for transformational change programs undertaken by or impacting GTI. You will liaise with other risk and control functions, on a management level to assure the integration of risk initiatives and projects. You will also support Regulatory Adherence and Policy Management function within TDI Risk Management. Its purpose is to provide oversight and supervision of new & changed material regulation impacting TDI, including full traceability to derived DB-specific Policies, Procedures, Key Operating Documents and Supporting Documents. 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 Risk & Control Management Identify and evaluate potential areas of non-compliance or risk, assessing impact, probability and present findings and proposals for risk mitigation measures. Support the delivery of the risk and control initiatives. This includes participation in risk and control activities, risk-based control reporting of key issues, performance and validation of cyclical activities such as annual control self-assessments. Work closely with teams in and out of the division to understand risks impacting the group. Align internal Deutsche Bank policies/procedures against industry recognized framework to strengthen the control framework and its implementation for both within the Bank and our 3rd party vendor relationships Ensure management transparency by way of timely risk reporting and proactive engagement and representing controls team at different governing forums Regulatory Adherence and Policy Management Coordination of regulatory adherence assessments across sub-divisions within TDI and management and review of Policies, Procedures, Key Operating Documents, Supporting Documents within TDI. Engage with stakeholders across TDI and other (e.g. 2nd line of defence) divisions in reviewing, assessing, and documenting the impact of regulations and planning remedial actions. Steer and support the publication of a consistent set of global and local Policies, Procedures, Key Operating Documents and Supporting Documents relating to Information Technology from laws, rules, and regulations. Risk remediation and Change Risk Advisory Support the Head of TDI GTI Risk Management in assessing risks related to strategic changes within the GTI Organization Proactively monitor risk landscape shift within the industry to identify transformation project opportunities to insulate Deutsche Bank from any potential risk exposure e.g., Production design life cycle, application and infrastructure architecture and its resilience Stakeholder Management – Identify, Partner and Collaborate Work with relevant stakeholders to identify and assess controls gaps related to technology risk - measure and mitigate them in a timely manner Align with COO Division Control Office (DCO) team and NFRM (2nd LoD) ensuring successful and consistent implementation of the established control framework. Promote and support proactive IT risk culture at the Bank. Desired Experience Your skills and experience Minimum 5 years of experience as Risk and Control Lead in designing and implementation of Technology risk framework or IT Audit in a global organization. Experience in a regulatory oversight, assurance, or policy management function within technology. Or have suitable compliance or audit background within infrastructure (and preferably IT & Information Security). Extensive experience regarding development, training and implementation of IT Policies, Procedures, Key Operating Documents and Supporting Documents. Good understanding of Industry best practices such as NIST, COBIT, ITIL and ISO 27001 Other professional qualifications and certifications in Technology risk management Desired behaviors A strong team player comfortable in a cross-cultural and diverse operating environment Result oriented and ability to deliver under tight timelines Ability to successfully resolve conflicts in a globally matrix driven organization Excellent communication and collaboration skills Desire to learn about new and emerging technologies and continuous upskilling Must be comfortable with navigating ambiguity to extract meaningful risk insights How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title: Divisional Risk and Control Specialist Location: Pune, India Corporate Title: VP Role Description The 1st line Tech Risk and controls function at Deutsche sits within the Group Technology Infrastructure (GTI) for Deutsche Bank Group. GTI has the largest footprint within the Technology, Data and Innovation division and is joined by other business-aligned CIO IT divisions. The Tech Risk and Controls is a dynamic team, consistently in demand, for providing guidance and challenge to deliver change and maintain systems in a secure and resilient manner. As part of the team, you will join the Bank’s journey and contribute towards our strategic goal of cloud enabled solutions as well as activities that improve our operational resilience and risk reduction. Specifically, you will bring expertise to Control definition and assessments capability across IT Infrastructure, SDLC and Architecture domains supporting a proactive risk management function. It will therefore also include providing change risk advisory services for transformational change programs undertaken by or impacting GTI. You will liaise with other risk and control functions, on a management level to assure the integration of risk initiatives and projects. You will also support Regulatory Adherence and Policy Management function within TDI Risk Management. Its purpose is to provide oversight and supervision of new & changed material regulation impacting TDI, including full traceability to derived DB-specific Policies, Procedures, Key Operating Documents and Supporting Documents. This role will report to the Head of Reg. Adherence & Policy Management and ultimately to the Global Head of TDI Risk Management. 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 Risk & Control Management Identify and evaluate potential areas of non-compliance or risk, assessing impact, probability and present findings and proposals for risk mitigation measures. Support the delivery of the risk and control initiatives. This includes participation in risk and control activities, risk-based control reporting of key issues, performance and validation of cyclical activities such as annual control self-assessments. Work closely with teams in and out of the division to understand risks impacting the group. Align internal Deutsche Bank policies/procedures against industry recognized framework to strengthen the control framework and its implementation for both within the Bank and our 3rd party vendor relationships Ensure management transparency by way of timely risk reporting and proactive engagement and representing controls team at different governing forums Regulatory Adherence and Policy Management Coordination of regulatory adherence assessments across sub-divisions within TDI and management and review of Policies, Procedures, Key Operating Documents, Supporting Documents within TDI. Engage with stakeholders across TDI and other (e.g. 2nd line of defence) divisions in reviewing, assessing, and documenting the impact of regulations and planning remedial actions. Steer and support the publication of a consistent set of global and local Policies, Procedures, Key Operating Documents and Supporting Documents relating to Information Technology from laws, rules, and regulations. Risk remediation and Change Risk Advisory Support the Head of TDI GTI Risk Management in assessing risks related to strategic changes within the GTI Organization Proactively monitor risk landscape shift within the industry to identify transformation project opportunities to insulate Deutsche Bank from any potential risk exposure e.g., Production design life cycle, application and infrastructure architecture and its resilience Stakeholder Management – Identify, Partner and Collaborate Work with relevant stakeholders to identify and assess controls gaps related to technology risk - measure and mitigate them in a timely manner Align with COO Division Control Office (DCO) team and NFRM (2nd LoD) ensuring successful and consistent implementation of the established control framework. Promote and support proactive IT risk culture at the Bank. People Responsibility - Identify, Develop, Retain Talent Develop a team of AVPs as the team size grows to deliver the risk and control mandate Ensure best practices are leveraged across teams, performance is closely monitored and that issues are dealt with within the team or escalated to senior management Establish an inclusive, open and speak up culture wherein team members are encouraged to express views and raise their concerns without fear Your Skills And Experience Desired experience Overall experience in similar roles for 12+ years in a Technology company or in a Banking Technology division or IT audit Minimum 6 years of experience as Risk and Control Lead in designing and implementation of Technology risk framework in a global organization Good understanding of Industry best practices such as NIST, COBIT, ITIL and ISO 27001 and ServiceNow GRC/IRM tooling. Deeper understanding of industry wide risk landscape and regulatory expectations Knowledge of Agile change delivery methodology, DevOps and Shift left concepts Cloud Computing Technology (GCP, AWS, Azure etc.) certifications or similar domains Other professional qualifications and certifications in Technology risk management Desired behaviors A strong team player comfortable in a cross-cultural and diverse operating environment Result oriented and ability to deliver under tight timelines Ability to successfully resolve conflicts in a globally matrix driven organization Excellent communication and collaboration skills Desire to learn about new and emerging technologies and continuous upskilling Must be comfortable with navigating ambiguity to extract meaningful risk insights 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.

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation. Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of advanced Machine Learning Models. Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Who are we and what do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are outcome-driven. We invite you to join our tribe as we dream big and chase your passion. About AI Engineering Director - Enterprise Digital & AI transformation across Inmobi is underway for - unlocking productivity & realizing efficiencies across the business, streamlining critical process flows and integrating cross-system architecture to achieve a lean and agile organizational set up. This involves a strong understanding of the company’s underlying business, system and process challenges, translating them into long term sustainable solutions that are applicable across InMobi’s expanding business units. This team works across a spectrum of enterprise systems and products building end-to-end features and capabilities that help establish a fully integrated blueprint of the company’s data architecture and system landscape. The Enterprise systems span the end-to-end value chain covering Lead generation, Sales & CRM, Order fulfilment, Service, Financial systems, BI Dashboards and NLP based Analytics. Reporting to the Chief Digital Officer , this person will lead a team of engineers and collaborate deeply with Product managers, Designers and other Engineering teams, to build AI solutions grounded in consistent architectures and incorporates ongoing advancements. These AI solutions will help in Sales & Marketing transformation, Finance transformation, Service & Operational processes transformation. Are you interested in shaping the era of AI, especially in an Enterprise context and scale? This role requires curiosity to understand the quickly growing AI landscape, continuous disruptive changes, knowledge in modern coding languages, different platforms (esp GCP/ Azure/ Salesforce), Machine Learning and LLMs. As the Enterprise AI Engineering Leader, you are the face of the Enterprise AI engineering team, representing their work, and unblocking the team when problems arise. You manage a highly skilled team and help in the growth of their careers. You drive action and alignment by cultivating relationships with senior management and partnerships with product management and design leaders. You bring a deep understanding and expertise in digital transformation opportunities across AI, supported by thought leadership in technologies such as Generative AI, Advanced Analytics and App Modernization. What you’ll do: Partner with the Enterprise Product team and all concerned stakeholders to understand business needs and translate them into technical requirements and solutions. Lead the development, deployment, and optimization of AI (GenAI) Solutions, Tools, frameworks in the Enterprise space for core business process areas. In this role, you will work closely with cross-functional teams, bringing technical expertise and hands-on problem-solving to ensure the successful delivery of AI solutions that support our business objectives (in the broad process areas described earlier) Support POCs/ Pilots projects to explore and validate the ever-evolving AI technologies and solutions. Stay updated regarding LLMs, MCP, A2A, ADK, Agentic AI landscape and the fast- changing AI technology & solution landscape - ensuring the innovations drive impact. Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support. Continuously assess and optimize software architecture, focusing on scalability, reliability, and alignment with emerging trends. Document designs, development processes, and best practices to promote knowledge sharing. Mentor and enable career growth for your team. Support upskilling and re-skilling of other Engineering team members + business users. What you are good at Supporting the development/ adoption/ optimization of AI-driven applications to meet organizational needs. Solving technical challenges and developing scalable, innovative solutions. Applying Change Management principles to ensure successful technology rollouts. Proactively identifying and implementing automation/ AI capabilities – in an Enterprise setup. Collaborating effectively with diverse stakeholders, including technical teams and business leaders. Adapting to fast-paced environments and evolving priorities with high energy and autonomy. Leveraging expertise in (Gen) AI solutions, Technologies & frameworks as listed above and enabling underlying system Integrations/ Infrastructure to deliver impactful solutions. Demonstrate strong problem-solving and analytical skills. Excellent documentation and presentation skills for technical and non-technical audiences. What You'll Bring A bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees in AI and Data Science are a plus. 10 - 12 years of professional experience in Engineering/ Software development with increasing responsibility. At least 4 – 5 years proven experience in implementing AI-driven applications. Experience in developing and deploying machine learning models and AI solutions. At least a few of the following : Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g., Hadoop, Spark). At least 2 years in Gen AI/ LLM based solutions. GCP/ Azure/ Salesforce / other platforms - Data and AI services, Data Engineering, Analytics, Machine Learning, Cognitive Services; Cognitive Search and exposure to OpenAI solutions. Previous experience building a user-facing (Gen)AI/ LLM software applications Knowledge of LLMs, RAG/Agentic - Architecture, core concepts and fundamentals Knowledge of evolving protocols like MCP/ A2A/ ADK and others. Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript). Experience with design engineering, customer workshops, defining clear problem statements. Demonstrated ability to work with complex datasets and perform data preprocessing and analysis. Expertise needed in other areas - Experience with code repositories including but not limited: Azure DevOps; GitHub as well as understanding of branching and tagging strategies; understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Experience with cloud technologies and infrastructure as code (e.g., AWS, Kubernetes, Terraform). Familiarity with software design patterns, architecture trade-offs, and integration best practices. Knowledge of DevOps practices, CI/CD pipelines, and automated testing frameworks. Experience with database management and data processing.

Job Description 15–20 years of overall experience with at least 4+ years in applied AI, machine learning, and statistical modeling. Design, develop, and deploy advanced generative AI models with Deep knowledge of ML/DL algorithms: Decision Trees, Random Forests, K-Means, RNN, CNN, Transformers, etc. Lead the development and implementation of large language models (LLMs) and agentic frameworks. Expertise in Python and related ML frameworks like TensorFlow, PyTorch, or Keras. Proficiency in statistics, probability, operations research, and optimization techniques. Experience in deploying AI models on cloud platforms (AWS, Azure, or GCP), including containerization and orchestration. Familiarity with LLM ecosystems and agentic frameworks like CrewAI or Autogen. Skills Required RoleAI/ML - Leader Industry TypeITES/BPO/KPO Functional AreaITES/BPO/Customer Service Required Education Bachelor Employment TypeFull Time, Permanent Key Skills AI ML DEVELOPER ARCHITECT GENERATIVE AI AND AGENTIC AI Other Information Job CodeGO/JC/419/2025 Recruiter NameMaheshwari Balasubramanian

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model. Responsibilities Conduct data cleaning, wrangling, and pre-processing for financial datasets. Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis. Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation. Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data. Use either one – Python, Excel or R to analyse, visualize, and model financial data. Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization. Who Should Apply? Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions. Strong problem-solving and analytical skills. Able to self-learn and work independently in a remote, flexible environment. Internship Details Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months Timing: Self-paced. Type: Unpaid

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Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Delivery Manager - Salesforce Job Date: May 23, 2025 Job Requisition Id: 61387 Location: Pune, MH, IN Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Salesforce Professionals in the following areas : Experience 15-19 Years Job Description Collaborate with cross-functional teams to ensure program success. Define program scope, objectives, and success criteria. Develop and maintain relationships with key stakeholders and clients. Develop and maintain program plans, including schedules, budgets, and resource allocation. Ensure program delivery within defined timelines and scope. Establish program management best practices and standards. Identify, manage, and mitigate program-level risks, issues, and dependencies. Lead program status meetings and provide regular updates to senior management and stakeholders. Manage large and complex programs consisting of multiple projects and initiatives. Monitor program budget and resource utilization, and drive profitability and growth of the program. Provide mentorship and guidance to project and program managers. Know customer business, their landscape and roadmap ahead to align project deliverables with customer's strategic objectives, anticipate future needs and provide valuable insights and recommendations throughout project and future requirements if any. Required Technical/ Functional Competencies Customer Management: Expert knowledge of customer's business domain and technology suite. Identify key influencers, convince customers, demonstrate leadership, present technical offerings, proactively suggest solutions, and negotiate to bring closure on open action items. Delivery Management: Expert knowledge in deal modeling, commercial and pricing models. Create complex estimates and get approvals including commercial inputs and large complex deals. Manage multiple complex account (>10m), and benchmark practices regarding tools and templates for account management. Domain/ Industry Knowledge: Expert knowledge of clients’ business processes and conceptualizing technology solutions. Provide thought leadership, out-of-the-box thinking, and best practices for addressing domain processes. Change Management: Recognized as a thought leader in change management and actively contributes to its development and evolution. Lead large-scale change management initiatives and transformations. Product/ Technology Knowledge: Expert knowledge of platform/product & associated technologies. Recommend products to clients and drive creation of generic offerings and accelerate product/technology solutions. Ensure consistent reusability of tools & best practices across projects and influence product/ technology selection strategy. Profitability Management: In-depth proficiency in profitability and cost management. Can analyze project financial data, identify trends, and proactively address budgetary issues. Have deep understanding of cost drivers and can provide accurate cost forecasts. Look for opportunities to optimize costs and enhance profitability. Project Management: Is a recognized expert in project management and has a proven track record of successfully managing large, complex projects. Comprehensive understanding of project management principles, methodologies, and tools. Provide guidance and mentorship to other project managers. Scheduling And Resource Planning: Expert in global delivery models covering skill levels, skill mix and onsite/offshore work allocation. Create accurate resource plans for people, space and infrastructure for given requirements and optimize the schedule for complex projects. Forecast people and skill requirements to align with plans and proactively manage resource planning risks. Create competency enhancement plans to fit existing resources for the requirements. Service Support And Maintenance: Plan and execute transition for large/ complex activities. Define standards in transition management based on industry trends and contribute to building tools and accelerators for KT process. Optimize resource utilization based on demand from customers. Select and define SLAs; track service levels and analyze impact of SLA on complex processes and deliverables. Risk Management: Specialized level of expertise in risk management. Proactively identify risks, assess their probability and impact, and develop comprehensive risk management plans. Effectively communicate risk-related information to stakeholders, recommend appropriate risk response strategies, and monitor risk throughout the project lifecycle to maximize results and meet deadlines. Required Behavioral Competencies Leadership Competencies as Applicable- Vision Alignment: Create action plan based on Business objectives. Manages all the internal and external issues that may affect the organization's vision, mission and objectives. Leads & directs a strategic planning team to address & outline the future direction of Department. Prioritize the work based on Department’s priority. Demonstrates a "can do" attitude and is willing to stretch self to achieve and exceed defined goals/targets. Decision Making: Clearly identifies implication of decisions on their teams/ departments and keep them in mind while decision making. Balance conflicting stakeholder concerns while making decisions. Takes timely decisions that may have significant impact based on one’s earlier experience. Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team. Building High Performing Teams: Provides required resources to team for executing plans & recognizes the value of teamwork. Builds rapport & facilitates trust building within the team. Encourages the under-performers to raise their performance level. Displays sensitivity in interactions and strives to understand others’ views and concerns. Coaching Mindset: Communicate clear objectives and measurable standards of success. Actively provides timely, specific and constructive feedback impacting performance. Identifies strengths/ development areas and suggests detailed action plans for leveraging/ improving them. Change Advocate: Considers innovative ideas provided by others. Adapts the change effectively using quality control systems & methods. Implements cutting edge ideas to develop business unit services. Demonstrates the willingness to work through the change transition. Effectively communicates the plan of Change. Certifications ITIL (Information Technology Infrastructure Library) Foundation, Lean Six Sigma Green Belt At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

The Opportunity As a member of Quality & HSE team, you will be part of Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources and expertise are shared across geographic boundaries in order to optimize value for Hitachi Energy PowerGrid’s customers across markets. How You’ll Make An Impact Taking complete responsibility for the tenders prepared from IN Operation Center with appropriate input from the different stakeholders of the team in-line with LOM Tendering process seeking necessary inputs from the Operating Units tendering team. Understanding of Sales process, Sales tools & techniques, Market & Business Intelligence, Sales drive. Supporting sales strategy & facilitating capture team selling. Knowledge in assessing the pre-qualification requirements and supporting the Sales team for Bid/No Bid decision. Create and review Tender Solution Strategy. Target Pricing in discussion with Operating units. Complete Understanding of Single line diagrams & Equipment arrangement layouts. Reviewing the proposals towards optimized and customized solutions for various substation tenders (AIS, GIS, Hybrid). Innovative ideas to prepare a cost-effective solution. Technical data sheets verification of primary equipment. Knowledge of primary equipment, such as circuit breakers, disconnectors, earthing switches, instrument transformers, power transformers, etc with minimal support from Engineering team. Collaborate with SCM having good understanding about strategic sourcing and do Vendor Offer evaluations. Finalize the tender sourcing plan appropriately. Analyze the risk probability & severity of the tenders from technical, commercial, contractual perspectives & drive the mitigation strategy liasing with the different disciplines. Should be handling the risk review process and getting the approval from different management levels based on the tender volume & the risks involved. Review Cash flow documents and the inputs from Contracts & legal teams and take conclusive decisions during submissions Directly responsible for the complete documentation for respective tenders as per the client requirement Handing over the awarded projects to the respective project managers. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Should have 8-12 years exp Should be from Bachelors Engineering Knowledge of Hitachi Energy Products & System offerings) Experience and skill to prepare and support Bid Process Knowledge in substation tendering and project engineering activities (technical & commercial) Individual contributor using in-depth knowledge in a specific area to / challenges often thinking independently to challenge traditional solutions Comprehensive knowledge of related disciplines in the organization Works independently, applying established standards Excellent English speaker, good communication skills Dynamic and Proactive, willing to grow in the organization. High level Team player, ready to play the role across the different countries. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions. Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.

Gurgaon 4 3+ Years Full Time We are looking for a technically adept and instructionally strong AI Developer with core expertise in Python, Large Language Models (LLMs), prompt engineering, and vector search frameworks such as FAISS, LlamaIndex, or RAG-based architectures. The ideal candidate combines solid foundations in data science, statistics, and machine learning development with a hands-on understanding of ML DevOps, model selection, and deployment pipelines. 3–4 years of experience in applied machine learning or AI development, including at least 1–2 years working with LLMs, prompt engineering, or vector search systems. Core Skills Required: Python: Advanced-level expertise in scripting, data manipulation, and model development LLMs (Large Language Models): Practical experience with GPT, LLaMA, Mistral, or open- source transformer models Prompt Engineering: Ability to design, optimize, and instruct on prompt patterns for various use cases Vector Search & RAG: Understanding of feature vectors, nearest neighbor search, and retrieval-augmented generation (RAG) using tools like FAISS, Pinecone, Chroma, or Weaviate LlamaIndex: Experience building AI applications using LlamaIndex, including indexing documents and building query pipelines Rack Knowledge: Familiarity with RACK architecture, model placement, and scaling on distributed hardware ML / ML DevOps: Knowledge of full ML lifecycle including feature engineering, model selection, training, and deployment Data Science & Statistics: Solid grounding in statistical modeling, hypothesis testing, probability, and computing concepts Responsibilities: Design and develop AI pipelines using LLMs and traditional ML models Build, fine-tune, and evaluate large language models for various NLP tasks Design prompts and RAG-based systems to optimize output relevance and factual grounding Implement and deploy vector search systems integrated with document knowledge bases Select appropriate models based on data and business requirements Perform data wrangling, feature extraction, and model training Develop training material, internal documentation, and course content (especially around Python and AI development using LlamaIndex) Work with DevOps to deploy AI solutions efficiently using containers, CI/CD, and cloud infrastructure Collaborate with data scientists and stakeholders to build scalable, interpretable solutions Maintain awareness of emerging tools and practices in AI and ML ecosystems Preferred Tools & Stack: Languages: Python, SQL ML Frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers Vector DBs: FAISS, Pinecone, Chroma, Weaviate RAG Tools: LlamaIndex, LangChain ML Ops: MLflow, DVC, Docker, Kubernetes, GitHub Actions Data Tools: Pandas, NumPy, Jupyter Visualization: Matplotlib, Seaborn, Streamlit Cloud: AWS/GCP/Azure (S3, Lambda, Vertex AI, SageMaker) Ideal Candidate: Background in Data Science, Statistics, or Computing Passionate about emerging AI tech, LLMs, and real-world applications Demonstrates both hands-on coding skills and teaching/instructional abilities Capable of building reusable, explainable AI solutions Location gurgaon sector 49

The Mathematician works with artistic, executive producer and technical staff to create the game vision and player experience for video casino games. Person would be working on the slot machine based game development for different market/regions. The Game designer will do: Participate in designing all aspects of a game design including entertainment, pacing, mathematical outcomes, and player communication. Have meticulous attention to detail to achieve optimal math models. Generate initial and final excel-based math models and combination sheets. Test mathematical outcomes to assure quality and that accurate calculations are achieved (through excel). Short Term Goals: Understand the game design concepts for multiple products in the games portfolio Understand and Deliver mathematical design documents for assigned projects and follow its full implementation through the development process Long Term Goals: This position will work to create great games by designing player experience and mathematics model for multiple games. There would be some on the job training opportunities to enhance domain expertize. What We're Looking For 1 to 3 years Bachelors / Masters in Mathematics/ Btech in Mathematics & Computing Desired Skills: Experience with statistical model and proficient in Excel. Strong expertise in Probability Theory and statistics. Strong data analytics skills. Experience in one of the Programming languages: C, C++, Python. Soft skills: Good team player Effective Communication skills Fast learner and self-motivated To communicate effectively with engineering, art, production and business personnel. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.