15 Model Portfolios Jobs in Bangalore

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

As an Investment Analyst at Prana Venture Management, your role will involve sourcing new investment opportunities, assessing business plans, conducting research and due diligence, supporting deal execution, and managing the portfolio. Your responsibilities will include: - Working with the team to develop strategies for focus sectors - Contributing to thematic investment thesis development and identifying potential investment leads - Assisting in deal execution by building financial models and preparing investment materials - Conducting due diligence by reviewing business plans and performing competitive analysis In terms of portfolio management, you will be expected to: - Provide analytic and strategic support to portfolio organizations as required - Conduct market scanning to identify potential competitors, acquisitions, and partnerships - Participate in follow-on financing discussions and prepare investment materials To qualify for this role, you should have: - An undergraduate degree with 2-3 years of business experience, preferably in a venture capital firm, investment bank, or management consultancy - Knowledge in financial services, education, or emerging technology domains - Strong networking skills and the ability to stay updated on sectoral and entrepreneurial developments - Analytical, strategic thinking, and project management skills - Data-driven and research-oriented approach to pipeline generation and deal evaluation - Excellent communication and writing skills - Comfort working in a collaborative environment - Motivation to create a positive social impact through technology This position is based in Bangalore.,

We are looking for an Asset Manager to join our team and help our clients grow their financial portfolios by providing recommendations and asset acquisition on their behalf.  Asset Manager responsibilities include conducting risk analyses, preparing financial reports and developing strategies to maximize asset growth for their clients.  Ultimately, you will work directly with clients to help them cultivate their financial portfolios, understand risks in the market and prepare financial statements on their behalf. Responsibilities Monitor asset performance and recommend corrective measures Develop strategies to increase ROI and minimize risk and loss Review policies and make recommendations for potential adjustments Research relevant markets and identify trends and patterns Collaborate with the asset management team, company analysts and senior executives

An Investment Analyst plays a critical role in the financial industry by researching and analyzing investment opportunities to help individuals and institutions make informed decisions. They delve into financial markets, companies, and various asset classes, providing the insights necessary to build successful investment portfolios. Key responsibilitiesInvestment Analysts' responsibilities are diverse, involving in-depth research, financial modeling, and the ability to articulate investment theses. Key duties include:Market and industry research: Conducting comprehensive research on industries, economic trends, and market conditions to identify potential investment opportunities and risks.Company analysis: Performing fundamental analysis on companies, including reviewing financial statements, evaluating business models, and assessing management quality to determine intrinsic value.Financial modeling: Building and maintaining detailed financial models (e.g., discounted cash flow, comparable company analysis) to forecast company performance and valuation.Investment recommendations: Formulating clear, data-backed investment recommendations (buy, sell, hold) based on research and analysis, and presenting them to fund managers, clients, or internal committees.Portfolio monitoring: Tracking the performance of existing investments and portfolios, identifying factors affecting their value, and recommending adjustments as needed.Due diligence: Participating in due diligence for potential investments, which might involve site visits, management interviews, and reviewing legal documents.Reporting: Preparing detailed research reports, investment memorandums, and presentations to communicate findings and recommendations. If you're interested, Kindly forward your resume to:- worksuccess565@gmail.com

Role Overview: As a Senior Credit Controller at our company, your main purpose will be to manage the collections activities of highly sensitive and complex commercial accounts with outstanding invoices. You will handle a portfolio of accounts, provide first level escalation support, and be involved in various ad hoc projects and assignments. Additionally, you will act as a subject matter expert within the team, offering guidance, training, and support for testing. This client-facing role will require significant contact with internal stakeholders and leading discussions between teams to resolve issues with delinquent accounts. Your responsibility will be to meet defined key performance targets while following departmental policies and processes. Please note that this is an overnight shift, requiring you to work U.S. business hours. Key Responsibilities: - Handle first level escalations from staff members - Assist the team in resolving account issues and answering questions - Liaise with internal and external individuals to resolve billing disputes and queries - Work on ad hoc projects and assist with User Acceptance Testing (UAT) - Build relationships with key stakeholders in Finance, Sales, and Operations - Initiate contact with customers to collect cash on unpaid invoices - Act as an advocate for customers when issues are raised - Meet key performance targets and operational objectives - Ensure adherence to the business engagement model and properly record comments and tasks in the collections system - Identify accounts that require special attention and resolve issues urgently - Provide ongoing feedback to the Manager on areas of opportunities Qualifications: - Highly motivated, task-oriented, and able to work independently in a fast-paced environment - Proven customer service experience, ideally with large international clients - Demonstrated success in handling accounts receivable and resolving billing issues - Ability to work under pressure and driven to achieve targets - Consistent high achiever with a track record in accounts receivable or related roles - Excellent organizational skills with high attention to detail and ability to manage multiple priorities - Ability to drive performance and ensure results delivery - Excellent verbal and written communication skills in English - Knowledge of Microsoft Office with strong Excel skills - 4-6 years of experience in accounts receivable or related field - Bachelor's degree in Finance, Accounting, or a related field Additional Company Details: LSEG (London Stock Exchange Group) is a diversified global financial markets infrastructure and data business. With a dedication to excellence and open-access partnerships, LSEG has extensive experience and deep knowledge across financial markets worldwide. The company enables businesses and economies to fund innovation, manage risk, and create jobs, contributing to financial stability and global growth for over 300 years. LSEG provides trusted financial market infrastructure services through an open-access model, offering flexibility, stability, and trust for customers to pursue their ambitions with confidence. Headquartered in the United Kingdom, LSEG operates in 65 countries across EMEA, North America, Latin America, and Asia Pacific, with a global team of 25,000 people. LSEG values integrity, partnership, excellence, and change, fostering a culture of growth, opportunity, diversity, and innovation where everyone can develop their skills and expertise.,

As a Quantitative Risk Intern at CME Group, you will be part of a team responsible for developing Risk/Pricing Models to evaluate counterparty exposures to the Clearing House. Your role will involve working on models related to Pricing, Value-at-Risk, Stress Testing, Liquidity, and Regulatory Capital. Additionally, you will be developing tools for Portfolio Analytics. You will collaborate with the team to perform back testing and statistical analysis to ensure the adequacy of margin coverage and justify model assumptions. **Principal Accountabilities:** - Conduct empirical studies and provide recommendations on margin levels, modeling issues, and risk-mitigation measures. - Ensure that models are updated with the latest proven theories in the field. - Deploy, test, and continuously improve models within the Production Infrastructure of CME. - Present results to Senior Management and/or Risk Committees. - Enhance existing risk models and design/prototype new models across different asset classes like OTC and Futures (e.g. Pricing, VaR, Backtest, Stress, Liquidity, etc.). **Skills & Software Requirements:** - Experience with programming languages such as C++/C#, R, VBA, and SQL is required. **Education:** - A Bachelor's degree in a technical discipline is required, while a Master's degree is preferred in disciplines like Math Finance, Applied Mathematics, Financial Engineering, or Software Engineering. At CME Group, individuals like you can impact global markets, transform industries, and shape tomorrow. You will be part of a team of experts who inspire you to grow. The company values diversity and inclusivity, ensuring that every employee's unique experiences and skills are acknowledged and valued. CME Group is an equal-opportunity employer, considering all potential employees without regard to any protected characteristic. Please be aware of recruitment fraud, as scammers may use misleading promises of job offers to solicit money and personal information from job seekers. CME Group follows established procedures to maintain trust, confidence, and security throughout the recruitment process.,

As a Product Security Engineer at SAP, your role involves consulting development and product teams on product security functionalities, standards, and S2DL process requirements. You will be responsible for translating business and legal/privacy requirements into actionable technical controls and developer guidance. Your key responsibilities include: - Analyzing and designing end-to-end security architecture for new and existing products/components - Reviewing security requirements and designs for compliance and risk reduction - Executing secure SDLC activities such as threat modeling, secure requirements/design review, secure code review, dynamic/manual testing, penetration testing, and security validation - Identifying, assessing, and addressing threats and vulnerabilities - Evaluating cross-application risks and coordinating remediation and patching - Implementing, integrating, and operating security tooling - Supporting compliance and privacy activities - Developing and maintaining security processes, documentation, playbooks, and workflows - Acting as a liaison between development and security - Researching emerging security risks and technologies - Contributing to security operations and incident response - Mentoring junior team members and delivering training/learning content Qualifications required for this role include: - Bachelor's degree in Computer Science or related STEM disciplines with a specialization in security - 5-7 years of programming and application development experience - At least 1.5 years of experience in security engineering - Knowledge of secure programming practices, product security standards, and S2DL processes - Understanding of threat modeling, common application security risks, and vulnerability management - Proficiency in security tools and procedures - Pragmatic, goal-oriented approach with strong prioritization skills - Fluent spoken and written English communication skills - Programming skills in at least one programming language The team you will be joining is the Private Cloud organization within SAP Product & Engineering, responsible for developing a portfolio of application products. The team provides sustenance and engineering services while possessing deep product and market expertise in the Private Cloud and RISE with SAP journey. Your contributions will support the team in transitioning installed-base customers to the SAP Business Suite and driving the adoption of innovations like AI. SAP is dedicated to fostering a culture of inclusion, health, and well-being, with a focus on flexible working models. As an employee at SAP, you will have access to a collaborative team environment and opportunities for personal development. The company values Equal Employment Opportunity and provides accessibility accommodations to applicants with disabilities. If you are interested in applying for this role, please send an email with your request to the Recruiting Operations Team at Careers@sap.com.,

Role Overview: You will be joining a leading quant-forward discretionary investment management firm as a Credit Analyst in the Investment Research & Analytics team. This role will involve conducting deep fundamental credit analysis in both public and private credit markets, contributing to investment strategies across various asset classes, and collaborating with senior researchers to support portfolio decisions. Key Responsibilities: - Conduct in-depth fundamental credit analysis of issuers, considering factors such as capital structure, covenants, and cash flow assessments. - Develop and maintain dynamic financial models including three-statement forecasting, scenario analysis, and recovery modeling. - Prepare clear and concise investment memos, relative value assessments, and recommendations for portfolio decisions. - Monitor existing portfolio positions and update models based on earnings, event-driven developments, and market shifts. - Identify early warning signals and risk factors at company, sector, and macro levels. - Contribute to thematic and sectoral research reports on emerging trends, market dislocations, and special situations. - Collaborate with investment teams to integrate advanced analytics, automation, and AI-enabled insights into research workflows. Qualification Required: - You should have 2-5 years of experience in credit research, investment banking, or asset management. - A strong academic background with a preference for CFA, CPA, or MBA in Finance. - Proficiency in financial modeling, valuation, and covenant analysis. - Familiarity with high yield, distressed, and investment grade markets. - Excellent written and verbal communication skills with the ability to synthesize complex analysis into actionable insights. - Self-driven, intellectually curious, and comfortable working in a fast-paced, collaborative, and technology-driven environment.,

Role Overview: As a CCAR Quantitative Modeler for Unsecured Products within US Personal Banking Risk, you will be responsible for developing CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. Your key responsibilities will include: Key Responsibilities: - Obtaining and conducting QA/QC on all data required for CCAR/CECL model development - Developing segment and/or account level CCAR/CECL stress loss models - Performing all required tests, such as sensitivity and back-testing - Validating/recalibrating all models annually to incorporate the latest data and redeveloping as needed - Delivering comprehensive model documentation - Working closely with cross-functional teams, including country/regions business stakeholders, model validation and governance teams, and model implementation team - Preparing responses/presentations to regulatory agencies on all CCAR/CECL models built Qualification Required: - An Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline - 2+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses - Experience with dynamics of unsecured or secured products is a strong plus - Active role in performing some analytical components of an econometric modeling-driven stress loss process, including data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation - Exposure to various stress loss modeling approaches at the segment or account level preferred - Ability to communicate technical information verbally and in writing to both technical and non-technical audiences - Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel, and PowerPoint - Working as an individual contributor This role falls under the Risk Management job family group and specifically within Risk Analytics, Modeling, and Validation. It is a full-time position requiring analytical thinking, business acumen, data analysis, risk identification, and assessment skills among others. Your work will involve constructive debate, policy compliance, and risk monitoring.,

Role Overview: As a Video Director, you will be responsible for conceptualising, planning, and overseeing video projects that align with client goals and brand guidelines. You will manage a team of creative professionals, ensuring collaboration, efficiency, and the delivery of outstanding results. Key Responsibilities: - Conceptualisation: Develop innovative video concepts and storyboards and pitch in collaboration with creative and BD teams, ensuring alignment with brand and campaign objectives. - Project Management: Plan, schedule, and manage all stages of video production, including pre-production, shooting, scripting, and post-production, ensuring timely delivery of projects within budget constraints. - Directing: Direct video shoots, guiding talent and crew to achieve the desired creative vision and maintain high production quality. - Production Oversight: Manage all stages of video production, including pre-production planning, on-set supervision, and post-production editing. - Collaboration: Work closely with producers, designers, and other stakeholders to deliver engaging, on-brand video content. - Client Interaction: Present concepts, updates, and final cuts to clients, incorporating feedback to refine the final product. - Quality Assurance: Ensure all video content is on-brand, engaging, and optimized for digital platforms (including social media, websites, YouTube, etc.), maintaining a high standard of technical and aesthetic quality across all outputs. - Innovation: Stay updated on the latest video trends, tools, and digital storytelling techniques. Experiment with emerging formats, such as AR, VR, CGI, AI-generated video content, and interactive video content. - Team Management: Lead and mentor a team of videographers, editors, and other creative professionals, fostering a culture of creativity and excellence. Requirements: - Proven experience as a Video Director for 5 to 7 years of experience or similar role in a marketing agency or production house. - Strong portfolio showcasing expertise in conceptualising, storytelling, cinematography, and directing. - Demonstrated experience in managing and mentoring creative teams. - Proficiency in video production tools, including editing software (e.g., Adobe Premiere Pro, Final Cut Pro) and equipment. - Excellent leadership, organisational, and project management skills. - Strong communication and collaboration skills with a client-focused mindset. - Ability to handle multiple projects, meet deadlines, and thrive in a fast-paced environment. - Familiarity with emerging video trends and technologies, including motion graphics, AR/VR, and live streaming, is a plus. About Havas Group: Havas is one of the world's largest global communications groups. Founded in 1835 in Paris, the Group employs 20,000 people in more than 100 countries and operates through its three business units covering all communication activities. Havas Group integrated Vivendi in December 2017. Havas Group's mission is to make a meaningful difference to brands, businesses, and people. To better anticipate client needs, Havas has adopted a fully integrated model through its 60+ Havas Villages around the world. In these Villages, creative, media, and healthcare & wellness teams work together, ensuring agility and a seamless experience for clients. Further information about Havas Group is available on the company's website: [Havas Group Website](https://www.havas.com/),

Role Overview: You will be joining Digital Grid Management (DGM), an AspenTech Business, as a Technical Leader in the Operations Technology (OT) field. Your role will involve implementing control systems at electric utilities to enhance efficiency in operating the modern grid while meeting contract requirements and specifications. Additionally, you will play a key role in the design, planning, and execution of ADMS projects and work closely with the Aspentech development teams to troubleshoot and test product changes. Key Responsibilities: - Serve as the technical leader and represent Aspentech for projects in the ADMS portfolio. - Implement control systems at electric utilities to enhance efficiency in operating the modern grid while meeting contract requirements and specifications. - Participate in the design, planning, and execution of ADMS projects. - Install and configure advanced distribution management applications such as Distribution Power Flow (DPF), Fault Location Isolation & Service Restoration (FLISR), and Volt/VAR Control & Optimization (VVC/VVO) and OMS. - Support testing events with the customer and troubleshoot, prioritize, and test product changes with the Aspentech development teams. - Interface with the utility's Geographic Information System (GIS) teams to extract, translate, and load the electrical network model to the Distribution Management System. - Configure and integrate software components to meet contract requirement specifications and test with customers. - Train customers on operating the systems being delivered and provide technical support to troubleshoot and resolve issues observed on live systems. Qualifications Required: - Bachelors or Masters degree in Electrical Engineering or related technical field. - 5 to 8 years of experience in SCADA / DMS / OMS software applications or related power systems engineering. - Experience with geo-spatial processing software (GIS) including building tools and models for electrical network is preferred. - Experience in project execution within the electric utilities industry. - Basic knowledge of databases and data warehousing. - Scripting knowledge (Python, JSON, or similar) with strong scripting preferred, but willingness to develop this further is welcome. - Excellent prioritization and organizational skills. - Solid foundation in software engineering principles or systems integration. - Understanding of Electric Distribution Power Systems and modeling is preferred (Load Flow Studies, Coordination Studies, Arc Flash Studies). - Database and data structure knowledge and experience (SQL, XML, Mongo, GIS). - Operations or engineering experience at an electric utility. - Industry experience with Outage Management Systems (OMS). - Experience conducting presentations, product demonstrations, and training. - Ability to perform technical analysis to define customer product requirements. - Flexibility to travel on short notice to customer sites when required.,

As an experienced HFT Portfolio Manager, you will join the portfolio management team of a leading high-frequency trading firm in Asia. Your role will involve managing portfolios and contributing to the regional growth of the firm. **Key Responsibilities:** - Utilize your proven experience in HFT and quantitative trading, with a focus on Asian markets and traditional asset classes. - Maintain a strong Sharpe ratio and demonstrate a solid ROI track record. - Collaborate with a team of researchers and traders to enhance your trading strategies. - Engage with the excellent infrastructure and capital backing provided by the firm. **Qualifications Required:** - Proven experience in HFT and quantitative trading, preferably in Asian markets and traditional asset classes. - Demonstrated ability to maintain a strong Sharpe ratio and deliver a solid ROI track record. - Background in top-tier quant firms, banks, or asset managers is preferred. This opportunity offers a highly attractive P&L sharing model, strong researcher and trader support, and the flexibility of working in Singapore with possible future arrangements in Japan, India, or elsewhere in Asia.,

Role Overview: You will be joining a world's leading experiential Media and Martech organization as an AI expert and innovator within a newly formed Centre of Excellence for Artificial Intelligence. Your role will involve designing, deploying, and scaling custom AI applications that directly impact clients and shape internal efficiencies. This is an ideal opportunity for individuals who thrive on solving complex problems and influencing strategic decisions in a global network. Key Responsibilities: - Design, prototype, and deploy high-impact AI/ML models like marketing portfolio optimization, audience segmentation, or content personalization to deliver measurable business outcomes. - Architect and launch a Retrieval-Augmented Generation platform to increase knowledge accessibility and efficiency by at least 30%. - Collaborate with data teams to unify fragmented datasets and establish a scalable platform for cross-agency AI workflows. - Enhance and scale AI-assisted Input Brief initiative into a network-wide capability with significant agency adoption. - Develop cloud-based, version-controlled AI pipelines to ensure model scalability, monitoring, and compliance with global data privacy standards. - Partner with global leadership to translate business challenges into AI-powered solutions and introduce innovations from emerging AI/ML research. Qualifications Required: - Proven track record (8+ years in software engineering/data science; 3+ years in applied AI/ML) of designing and deploying production-ready AI solutions. - Hands-on experience building modern Retrieval-Augmented Generation systems with frameworks like LangChain or LlamaIndex and vector databases such as Pinecone or Chroma. - Proficiency in Python and core AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face) with a strong grounding in NLP and unstructured text data. - Experience with at least one major cloud platform (AWS, GCP, Azure) for AI deployment. - Comfort with ambiguity, fragmented data, and ability to turn messy inputs into structured insights. - Design and manage complex AI workflows, including meta-agents, API integrations, and large-scale data transformations. - Ability to communicate complex technical concepts clearly to non-technical stakeholders. - Experience with MLOps principles and tools (MLflow, Kubeflow) is a plus. - Prior experience in marketing, advertising, or consulting environments is advantageous. (Note: No additional details of the company were provided in the job description.),

As a skilled and motivated Solution Architect specializing in SAP S/4HANA EPPM (SAP Enterprise Portfolio and Project Management) at SAP, you will play a crucial role in designing and delivering scalable, integrated solutions that align with business strategies and drive operational excellence across project and portfolio management functions. Your responsibilities will include collaborating with cross-functional teams to architect solutions that leverage the full capabilities of S/4HANA (on-premise and cloud), ensuring seamless integration with other SAP and non-SAP systems. Key Responsibilities: - Design and deliver scalable, integrated solutions for project and portfolio management functions - Collaborate with cross-functional teams to architect solutions leveraging S/4HANA capabilities - Ensure seamless integration with other SAP and non-SAP systems In the Corporate Processes & IT (CPIT) Product, Data & Technology (PDT) organization at SAP, you will be part of a team that is responsible for evolving and executing SAP's IT strategy to drive transformation and enable SAP to become the #1 Enterprise application and Business AI company. The Enterprise Architecture Group within PDT plays a vital role in shaping the architecture of core IT solutions for all SAP lines-of-business, applying Lean and Agile principles within the context of a large enterprise. At SAP, you will have the opportunity to work with cutting-edge solutions that drive innovation at scale to bring business value that enables transformation across SAP. With a purpose-driven and future-focused approach, SAP values inclusion, health, and well-being, and offers flexible working models to ensure that every individual feels included and can perform at their best. SAP is committed to Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Inclusion and diversity are core values at SAP, where every unique capability and quality that each person brings to the company is recognized and appreciated. SAP invests in its employees to inspire confidence and help them realize their full potential, ultimately believing in unleashing all talent and creating a better world. As a global company with a highly collaborative team ethic and commitment to personal development, SAP is dedicated to ensuring that every challenge gets the solution it deserves. By connecting global industries, people, and platforms, SAP enables more than four hundred thousand customers worldwide to work together more efficiently and leverage business insight more effectively. SAP is dedicated to creating a better world by unleashing all talent and ensuring that every individual, regardless of background, can run at their best. The company believes in investing in employees to help them realize their full potential and is committed to values of Equal Employment Opportunity and inclusion. If you are interested in applying for a role at SAP and require accommodation or special assistance with the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. Only permanent roles are eligible for the SAP Employee Referral Program, subject to the eligibility rules set in the SAP Referral Policy. Successful candidates may be required to undergo a background verification with an external vendor. Requisition ID: 437724 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid AI Usage in the Recruitment Process: For information on the responsible use of AI in SAP's recruitment process, please refer to the Guidelines for Ethical Usage of AI in the Recruiting Process. Violation of these guidelines may result in disqualification from the hiring process.,