SymphonyAI is a global leader in AI-driven enterprise applications, transforming industries with cutting-edge artificial intelligence and machine learning solutions. We empower organizations across retail, CPG, financial services, manufacturing, media, enterprise IT and the public sector by delivering data-driven insights that drive business value. Headquartered in Palo Alto, California, SymphonyAI has a wide range of products and a strong global presence, with operations in North America, Southeast Asia, the Middle East, and India. The company is dedicated to fostering a high-performance culture and maintaining its position as one of the largest and fastest-growing AI portfolios in the industry. Job Description About the Role We are looking for a Data Warehouse Engineer with strong expertise across the Azure Data Platform to design, build, and maintain modern data warehouse and analytics solutions. This role requires hands-on experience with Azure Synapse Analytics, Data Factory, Data Lake, Azure Analysis Services, and Power BI . The ideal candidate will ensure seamless data ingestion, storage, transformation, analysis, and visualization, enabling the business to make data-driven decisions. Key Responsibilities Data Ingestion & Orchestration 10-15years of experience in designing and building scalable ingestion pipelines using Azure Data Factory . Integrate data from multiple sources (SQL Server, relational databases, Azure SQL DB, Cosmos DB, Table Storage). Manage batch and real-time ingestion into Azure Data Lake Storage . Data Storage & Modelling Develop and optimize data warehouse solutions in Azure Synapse Analytics . Implement robust ETL/ELT processes to ensure data quality and consistency. Create data models for analytical and reporting needs. Data Analysis & Security Build semantic data models using Azure Analysis Services for enterprise reporting. Collaborate with BI teams to deliver well-structured datasets for reporting in Power BI . Implement Azure Active Directory for authentication, access control, and security best practices. Visualization & Business Support Support business teams in building insightful Power BI dashboards and reports . Translate business requirements into scalable and optimized BI solutions. Provide data-driven insights in a clear, business-friendly manner. Optimization & Governance Monitor system performance and optimize pipelines for efficiency and cost control. Establish standards for data governance, data quality, and metadata management . Qualifications & Skills Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related field. Proven experience as a Data Warehouse Engineer / Data Engineer with strong expertise in: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Azure Analysis Services Azure SQL Database / SQL Server Power BI (reporting & dashboarding) Strong proficiency in SQL and data modelling (star schema, snowflake schema, dimensional modelling). Knowledge of Azure Active Directory for authentication & role-based access control. Excellent problem-solving skills and ability to optimize large-scale data solutions. Strong communication skills to collaborate effectively with both technical and business stakeholders.
Were looking for an expert developer whos also a power user of Generative AI tools like ChatGPT, Claude, Gemini, RooCode, and GitHub Copilot. This is a 3-month contract (extendable) where you’ll work closely with our engineering team in India (IST hours) to: Mentor developers 1:1 and through pair programming sessions. Help them integrate GenAI tools into their daily coding routine. Generate production-grade Python & Angular code, tests, API specs, and configurations using RooCode IDE plugin & SAI Workbench. Solve real-time coding challenges while boosting team productivity. If you have strong Python + Angular experience , love staying ahead of AI advancements , and enjoy helping others level up their skills — we’d love to talk. We're looking for an expert coder who actively uses LLMs such as Claude, ChatGPT, Gemini and can use IDE-based plugins such as RooCode and GitHub Copilot as part of their daily development workflow. The ideal candidate stays up-to-date with the latest advancements in LLMs and their coding capabilities, and understands how to apply them effectively in building production-grade software. In this consultant role, youll work closely with our engineering team to promote adoption of GenAI tools, with a primary focus on using RooCode IDE plugin and SAI Workbench tools to generate code. Through 1:1 mentoring, pair programming, and hands-on sessions, you’ll help developers use the tools for generating production code, tests, API specifications and configuration. You should have strong experience building Python and Angular applications, excellent communication skills, and a passion for improving developer productivity. The role requires working during India Standard Time (IST) hours to collaborate effectively with our India-based engineering team.
Role Overview: As a Support Specialist, you'll handle Level 1 and 2 support, manage tickets during US nighttime hours, perform UAT and regression testing, maintain client communication, and provide weekly status reports. Key Responsibilities: Level 1 and 2 support, including: Handling ticket intake during US nighttime hours Validating issues, and assigning appropriate severity and priority Triage tickets to resolution and document steps taken to resolve issues or questions Following the escalation process with the engineering team Maintaining communication and updates to clients Updating the ticket with any changes to the status, severity, or state of the ticket Handing off tickets to US based counterparts Weekly ticket refinement and clean-up UAT and Regression testing Testing new releases and updates to SaaS products Validating use cases and reporting back to engineering Providing weekly status reports weekly ticket summary, what happened, what are you working on, what are you blocked by, and what are you doing next Qualifications and Skills: 2-5 years of SaaS software support English speak at high proficiency Technical experience in managing Azure cloud deployments Experience in python and java a plus
About the Role As a Senior Finance Specialist (FP&A), you will report to the Associate FP&A Director and focus on managing Professional Services revenue and cost recognition. You will collaborate closely with internal teams to support invoicing, and financial reporting. Key Responsibilities: Revenue & Cost Analysis Analyse Professional Services revenue and costs. Ensure accurate revenue recognition and support monthly forecasting. Review contracts and financial data for insights. Invoicing & Customer Interactions Control Professional Services invoicing. Collaborate with customers, suppliers, AR team, PSO team, Sales, and Sales Ops. Financial Reporting & Compliance Support Month-End Close with accrual estimates and key calculations. Assist audits and ensure compliance with accounting policies. Cross-Functional Collaboration & Systems Management Work with Sales, Pre-Sales, Legal, Operations, Finance, IT - to streamline financial processes. Review and approve AP bills and POs. Other Responsibilities Support debt collection queries related to Professional Services contracts. Participate in strategic meetings and process improvements. What Were Looking For: Bachelors degree in accounting or finance, work experience of 7+ years. Finance professional in FP&A in an international IT company with Professional Services and SaaS model. Expertise in NetSuite (mandatory); Microsoft Dynamics AX/CRM is a plus. Advanced user of Excel. Adaptable, proactive, oriented for results, organized, with respect for deadlines. Ability to analyse large datasets and work in a fast-paced environment. Fluent English speaker with excellent communication skills. Location: India (hybrid office & remote).
As a Senior Data Scientist, you will lead the design, development, and deployment of advanced machine learning and deep learning solutions across a variety of domains. You will work with large and complex datasets to drive business insights and power innovative AI products, including state-of-the-art Natural LanguageProcessing (NLP) and Generative AI (GenAI) systems. You will collaborate closely with engineering, product management, and business stakeholders to deliver end-to-end data science solutions, from problem definition through scalable deployment. You will play a key role in shaping our AI/ML strategy, leveraging your expertise in Python, ML/DL frameworks, and cloud technologies to deliver best-in-class solutions. What You'll Do Design, build, and deploy end-to-end machine learning and deep learning models for business-critical applications, with a focus on NLP, text classification, and generative AI use cases. Lead development and fine-tuning of Large Language Models (LLMs) and implement retrieval-augmented generation (RAG) pipelines. Utilize LangChain, LangGraph, and LangFlow frameworks to orchestrate LLM applications and workflows. Apply advanced NLP techniques to solve real-world business problems, including text extraction, summarization, classification, information retrieval, and entity recognition. Build scalable, production-grade ML pipelines using TensorFlow/PyTorch, and manage model lifecycle, including versioning, monitoring, and retraining. Design and execute experiments and benchmarks on model performance, data quality, and feature engineering. Deploy models as robust, secure APIs using Docker and Kubernetes on cloud platforms such as Azure. Collaborate with data and DevOps engineers to build, optimize, and maintain MLOps workflows and infrastructure. Work closely with stakeholders to understand requirements and translate business needs into technical solutions. Stay up-to-date with the latest research in AI, ML, NLP, and GenAI, and identify opportunities for innovation and improvement. Mentor and guide junior data scientists, promoting best practices in coding, experimentation, and documentation. Skills You'll Need 6+ years of hands-on experience in data science, with strong expertise in Python and its libraries (NumPy, pandas, scikit-learn,Pytorch etc.). Deep knowledge of core machine learning and deep learning algorithms and architectures. Demonstrated experience (1+ years) working with Generative AI technologies, including LLMs, fine-tuning, and RAG. Hands-on experience with NLP techniques and frameworks (spaCy, Hugging Face Transformers, NLTK, etc.). Extensive experience in TensorFlow and/or PyTorch, including building and training custom models. Proven track record of deploying ML solutions at scale using Kubernetes, Docker, and Azure cloud services. Practical experience with LLM orchestration frameworks such as LangChain, and LangFlow. Strong understanding of software engineering best practices, version control (git), containerization, and CI/CD for ML. Familiarity with data engineering concepts and tools for large-scale data processing and feature pipelines. Excellent communication and stakeholder management skills, with the ability to explain complex technical topics to a broad audience. Self-motivated, collaborative, and passionate about driving business impact through AI innovation. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; PhD is a plus. Preferred Experience in multi-cloud environments ( Preferably Azure) Knowledge of model monitoring, explainability, and responsible AI practices. Publications or contributions to the open-source data science/AI community. About Us Why Join SymphonyAI? Work on cutting-edge AI and Generative AI projects Tackle diverse, real-world challenges across multiple industries Lead and mentor in a high-performance, innovative team Use advanced tech stack and modern MLOps tools Enjoy a collaborative, inclusive, and growth-oriented culture
We are looking for a Senior Product Manager to lead the strategy and execution of our mobile and tablet apps (iOS & Android) that drive in-store workflows and enable data capture through cutting-edge computer vision. This role will shape the user experience for front-line users, ensuring performance, usability, and business impact across our Store Intelligence platform. Key Responsibilities: Own the mobile product roadmap for both iOS and Android platforms, ensuring high adoption and engagement. Design and optimize workflows that capture shelf and store data via mobile devices using computer vision. Collaborate closely with engineering, UX, and CV/AI teams to deliver intuitive, high-performing features. Define and track product KPIs using analytics tools (e.g., Firebase, Mixpanel, GA, Amplitude) to inform decisions. Partner with users, customers, and GTM teams to prioritize feature development and drive product adoption. Lead user testing and continuous UX improvement efforts based on field feedback and behavioural data. Required Qualifications: 5-8 years of product management experience, with 2+ years in mobile apps (iOS and Android). Strong understanding of mobile platforms, app performance, OS-level capabilities, and release cycles. Hands-on experience with product analytics, A/B testing, and usage funnel optimization. Proven ability to design and refine user-centric workflows with excellent UI/UX instincts. Excellent cross-functional leadership and communication skills. Preferred Qualifications: Experience with computer vision or image capture through mobile apps. Exposure to field-force or retail execution tools. Familiarity with edge computing or offline-first mobile workflows.
About this role... As a Senior Financial Analyst, you will partner with the US leadership team of Symphonyai to drive company performance. Reporting to the Symphonyai- Retail FP&A leadership you will be involved in monthly P&L reporting, variance analysis, creation, and delivery of the Budget/ Plan, Quarterly, Monthly forecast. The ideal candidate will bring a combination of strong analytical capabilities, communication skills, superior attention to detail, and a curiosity-driven mindset. For the right candidate, it is a platform for rapid career development and personal growth. This role is well suited for a candidate with an MBA, business finance, FP&A, consulting, investment banking, venture capital or private equity experience, preferably in a SAAS company. What youll do for us Lead FP&A activities including monthly/ quarterly close, analysis and reporting for the respective function/ business Create monthly analysis of Cost of Sales and Functional costs and analyze variance to Budget/ Forecast Work with Accounting during close process to ensure accurate entries and suggest reclasses, accruals as needed Identify and research variances to forecast, budget and prior year expenses, proactively identifying opportunities for improvement Prepare and present P&L monthly reporting package with variance explanations, headcount analysis, expense detail by vendor Develop quarterly forecasts and bottoms-up budget, working with the Finance Manager and portfolio leaders Dive deeply into financial data and become a subject matter expert to provide additional insights during forecast/budget process Business partner with the GMs/ Functional leaders to drive analysis and tools for improved decision making Develop and monitor core KPIs to track progression towards achieving operating plan and to drive both top and bottom-line performance What youll have... Bachelors degree and 7+ years of experience in finance preferably FP&A, Business Finance, or a related area MBA with 4+ years of FP&A experience highly preferred Strong knowledge of accounting/financial/operational principles: GAAP/ IFRS Experience working with reporting and budgeting tools, NetSuite financial systems preferred Experience developing analysis, reporting metrics and adept with budget, quarterly forecasting, month end close/ reporting Ability to successfully manage multiple, competing priorities while maintaining view of big picture goals and initiatives Experience within SaaS and professional services environment preferred but not required Strong interpersonal and communication skills with the ability to easily interface with various levels of management Advanced Excel, Word, and PowerPoint skills
Job Title: Director, Product Management Retail Intelligence Suite (Connected Retail Platform) About the Role: SymphonyAI is seeking a strategic and forward-thinking Director, Product Management to lead the development of our Retail Intelligence Suite , a GenAI-powered platform unifying sales, shopper, assortment, pricing, promotion, and supply chain intelligence. This role is instrumental in delivering connected insights and intelligent workflows that drive measurable outcomes for retailers and CPGs. As a senior product leader, you will define and scale core intelligence capabilities, develop cross-functional use cases, and drive integration across CINDE applications and agentic Copilot experiences. Your focus will be on enabling real-time, predictive, and actionable insights that fuel smarter decision-making from HQ to store. What You Will Do: Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. Build and launch AI-powered capabilities , including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement , predictive modeling, and closed-loop optimization. Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. Support cross-domain product launches , acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. What You Will Bring to SymphonyAI: Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. Strong understanding of connected retail domains , including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. Expertise in building products at the intersection of data, UX, and AI , with a bias for user-centric design and scalable architecture. Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs. Qualifications: Bachelors degree in Business, Computer Science, Data Science, or a related field; MBA or advanced degree preferred. 12+ years of experience in product management, with at least 35 years in AI, analytics, or decision intelligence platforms. Experience in retail technology , particularly in merchandising, demand planning, promotion, pricing, or space/assortment optimization. Familiarity with AI/ML applications, GenAI/Copilot architectures , and data pipeline orchestration. Strong technical fluency, including experience with APIs, modern data stacks, and data visualization tools. Exceptional communication skills, with a proven track record of influencing product strategy and commercial success.
About the Role As a Senior Finance Specialist (FP&A), you will report to the Associate FP&A Director and focus on managing Professional Services revenue and cost recognition. You will collaborate closely with internal teams to support invoicing, and financial reporting. Key Responsibilities: Revenue & Cost Analysis Analyse Professional Services revenue and costs. Ensure accurate revenue recognition and support monthly forecasting. Review contracts and financial data for insights. Invoicing & Customer Interactions Control Professional Services invoicing. Collaborate with customers, suppliers, AR team, PSO team, Sales, and Sales Ops. Financial Reporting & Compliance Support Month-End Close with accrual estimates and key calculations. Assist audits and ensure compliance with accounting policies. Cross-Functional Collaboration & Systems Management Work with Sales, Pre-Sales, Legal, Operations, Finance, IT - to streamline financial processes. Review and approve AP bills and POs. Other Responsibilities Support debt collection queries related to Professional Services contracts. Participate in strategic meetings and process improvements. What Were Looking For: Bachelors degree in accounting or finance, work experience of 7+ years. Finance professional in FP&A in an international IT company with Professional Services and SaaS model. Expertise in NetSuite (mandatory); Microsoft Dynamics AX/CRM is a plus. Advanced user of Excel. Adaptable, proactive, oriented for results, organized, with respect for deadlines. Ability to analyse large datasets and work in a fast-paced environment. Fluent English speaker with excellent communication skills. Location: India (hybrid office & remote).
We are looking for a Senior Product Manager to lead the strategy and execution of our mobile and tablet apps (iOS & Android) that drive in-store workflows and enable data capture through cutting-edge computer vision. This role will shape the user experience for front-line users, ensuring performance, usability, and business impact across our Store Intelligence platform. Key Responsibilities: Own the mobile product roadmap for both iOS and Android platforms, ensuring high adoption and engagement. Design and optimize workflows that capture shelf and store data via mobile devices using computer vision. Collaborate closely with engineering, UX, and CV/AI teams to deliver intuitive, high-performing features. Define and track product KPIs using analytics tools (e.g., Firebase, Mixpanel, GA, Amplitude) to inform decisions. Partner with users, customers, and GTM teams to prioritize feature development and drive product adoption. Lead user testing and continuous UX improvement efforts based on field feedback and behavioural data. Required Qualifications: 5-8 years of product management experience, with 2+ years in mobile apps (iOS and Android). Strong understanding of mobile platforms, app performance, OS-level capabilities, and release cycles. Hands-on experience with product analytics, A/B testing, and usage funnel optimization. Proven ability to design and refine user-centric workflows with excellent UI/UX instincts. Excellent cross-functional leadership and communication skills. Preferred Qualifications: Experience with computer vision or image capture through mobile apps. Exposure to field-force or retail execution tools. Familiarity with edge computing or offline-first mobile workflows.
About the Role We are looking for a Data Warehouse Engineer with strong expertise across the Azure Data Platform to design, build, and maintain modern data warehouse and analytics solutions. This role requires hands-on experience with Azure Synapse Analytics, Data Factory, Data Lake, Azure Analysis Services, and Power BI . The ideal candidate will ensure seamless data ingestion, storage, transformation, analysis, and visualization, enabling the business to make data-driven decisions. Key Responsibilities Data Ingestion & Orchestration 10-15years of experience in designing and building scalable ingestion pipelines using Azure Data Factory . Integrate data from multiple sources (SQL Server, relational databases, Azure SQL DB, Cosmos DB, Table Storage). Manage batch and real-time ingestion into Azure Data Lake Storage . Data Storage & Modelling Develop and optimize data warehouse solutions in Azure Synapse Analytics . Implement robust ETL/ELT processes to ensure data quality and consistency. Create data models for analytical and reporting needs. Data Analysis & Security Build semantic data models using Azure Analysis Services for enterprise reporting. Collaborate with BI teams to deliver well-structured datasets for reporting in Power BI . Implement Azure Active Directory for authentication, access control, and security best practices. Visualization & Business Support Support business teams in building insightful Power BI dashboards and reports . Translate business requirements into scalable and optimized BI solutions. Provide data-driven insights in a clear, business-friendly manner. Optimization & Governance Monitor system performance and optimize pipelines for efficiency and cost control. Establish standards for data governance, data quality, and metadata management . Qualifications & Skills Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related field. Proven experience as a Data Warehouse Engineer / Data Engineer with strong expertise in: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Azure Analysis Services Azure SQL Database / SQL Server Power BI (reporting & dashboarding) Strong proficiency in SQL and data modelling (star schema, snowflake schema, dimensional modelling). Knowledge of Azure Active Directory for authentication & role-based access control. Excellent problem-solving skills and ability to optimize large-scale data solutions. Strong communication skills to collaborate effectively with both technical and business stakeholders.
Role Overview: As a Support Specialist, you'll handle Level 1 and 2 support, manage tickets during US nighttime hours, perform UAT and regression testing, maintain client communication, and provide weekly status reports. Key Responsibilities: Level 1 and 2 support, including: Handling ticket intake during US nighttime hours Validating issues, and assigning appropriate severity and priority Triage tickets to resolution and document steps taken to resolve issues or questions Following the escalation process with the engineering team Maintaining communication and updates to clients Updating the ticket with any changes to the status, severity, or state of the ticket Handing off tickets to US based counterparts Weekly ticket refinement and clean-up UAT and Regression testing Testing new releases and updates to SaaS products Validating use cases and reporting back to engineering Providing weekly status reports weekly ticket summary, what happened, what are you working on, what are you blocked by, and what are you doing next Qualifications and Skills: 2-5 years of SaaS software support English speak at high proficiency Technical experience in managing Azure cloud deployments Experience in python and java a plus
About this role... As a Senior Financial Analyst, you will partner with the US leadership team of Symphonyai to drive company performance. Reporting to the Symphonyai- Retail FP&A leadership you will be involved in monthly P&L reporting, variance analysis, creation, and delivery of the Budget/ Plan, Quarterly, Monthly forecast. The ideal candidate will bring a combination of strong analytical capabilities, communication skills, superior attention to detail, and a curiosity-driven mindset. For the right candidate, it is a platform for rapid career development and personal growth. This role is well suited for a candidate with an MBA, business finance, FP&A, consulting, investment banking, venture capital or private equity experience, preferably in a SAAS company. What youll do for us Lead FP&A activities including monthly/ quarterly close, analysis and reporting for the respective function/ business Create monthly analysis of Cost of Sales and Functional costs and analyze variance to Budget/ Forecast Work with Accounting during close process to ensure accurate entries and suggest reclasses, accruals as needed Identify and research variances to forecast, budget and prior year expenses, proactively identifying opportunities for improvement Prepare and present P&L monthly reporting package with variance explanations, headcount analysis, expense detail by vendor Develop quarterly forecasts and bottoms-up budget, working with the Finance Manager and portfolio leaders Dive deeply into financial data and become a subject matter expert to provide additional insights during forecast/budget process Business partner with the GMs/ Functional leaders to drive analysis and tools for improved decision making Develop and monitor core KPIs to track progression towards achieving operating plan and to drive both top and bottom-line performance What youll have... Bachelors degree and 7+ years of experience in finance preferably FP&A, Business Finance, or a related area MBA with 4+ years of FP&A experience highly preferred Strong knowledge of accounting/financial/operational principles: GAAP/ IFRS Experience working with reporting and budgeting tools, NetSuite financial systems preferred Experience developing analysis, reporting metrics and adept with budget, quarterly forecasting, month end close/ reporting Ability to successfully manage multiple, competing priorities while maintaining view of big picture goals and initiatives Experience within SaaS and professional services environment preferred but not required Strong interpersonal and communication skills with the ability to easily interface with various levels of management Advanced Excel, Word, and PowerPoint skills
About the Role: SymphonyAI is seeking a strategic and forward-thinking Director, Product Management to lead the development of our Retail Intelligence Suite , a GenAI-powered platform unifying sales, shopper, assortment, pricing, promotion, and supply chain intelligence. This role is instrumental in delivering connected insights and intelligent workflows that drive measurable outcomes for retailers and CPGs. As a senior product leader, you will define and scale core intelligence capabilities, develop cross-functional use cases, and drive integration across CINDE applications and agentic Copilot experiences. Your focus will be on enabling real-time, predictive, and actionable insights that fuel smarter decision-making from HQ to store. What You Will Do: Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. Build and launch AI-powered capabilities , including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement , predictive modeling, and closed-loop optimization. Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. Support cross-domain product launches , acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. What You Will Bring to SymphonyAI: Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. Strong understanding of connected retail domains , including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. Expertise in building products at the intersection of data, UX, and AI , with a bias for user-centric design and scalable architecture. Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs. Qualifications: Bachelors degree in Business, Computer Science, Data Science, or a related field; MBA or advanced degree preferred. 12+ years of experience in product management, with at least 35 years in AI, analytics, or decision intelligence platforms. Experience in retail technology , particularly in merchandising, demand planning, promotion, pricing, or space/assortment optimization. Familiarity with AI/ML applications, GenAI/Copilot architectures , and data pipeline orchestration. Strong technical fluency, including experience with APIs, modern data stacks, and data visualization tools. Exceptional communication skills, with a proven track record of influencing product strategy and commercial success.
An emerging leader of artificial intelligence-based monitoring, analysis and predictive solutions that optimize the health and operational performance of industrial assets and processes. Our state-of-the-art Generative AI and Predictive AI powered IRIS platform integrates with a wide variety of sensors, historical data libraries, and new and existing data streams and provides real-time predictive insights and prescriptive recommendations to a variety of industrial persona. As a Lead AI Services Engineer at SymphonyAI Industrial, you will play a pivotal role in pioneering the integration and deployment of state-of-the-art predictive asset insights, Large Language Models and Generative AI technologies to solve some of the most intricate challenges faced by the industrial sector. In this position, you will implement and oversee implementation of advanced AI-driven solutions on our cutting-edge AI/ML platform, with a focus on enhancing predictive maintenance, operational optimization, and digital manufacturing processes. You will collaborate closely with multidisciplinary teams to seamlessly integrate Predictive and Generative AI models that are capable of processing a wide range of industrial datasetsincluding structured and unstructured data such as text documents, reports, FMEAs, logs, images, and time series dataalongside conventional machine learning models. Your deep technical acumen, coupled with a strong problem-solving mindset, will be instrumental in navigating complex engineering challenges, ensuring the successful deployment and monitoring of innovative solutions that drive performance and efficiency for our clients . Responsibilities Collaborate with clients to understand their needs, challenges, and goals, to further propose AI solutions from the product mix that meet stakeholders organizational objectives. Lead the end-to-end data analysis, data contextualization, deployment of AI and machine learning models along with application and platform set up to ensure seamless integration with existing systems and platforms. Identify project risks associated with AI deployment, including data privacy, security, and model accuracy concerns and communicate effectively with internal and external teams to mitigate them effectively. Ensure that all AI solutions meet the highest standards of quality and reliability before being delivered to clients, via rigorous testing, validation, and performance evaluations of AI models. Lead AI service delivery projects, managing timelines, and manage stakeholder expectations with change management and also coordinate with internal and external cross-functional teams to ensure that AI projects are completed on time and within budget leading to customer success. Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques in AI model deployment. Provide ongoing support and hand holding to clients post deployment, addressing any issues or challenges that arise, along with ensuring a smooth handover and knowledge transfer to clients' internal teams for ongoing management of AI systems. Monitor the performance of deployed AI models, ensuring they operate efficiently and effectively over time and optimize AI models based on real-time data and feedback. Qualifications: Bachelors or Masters in a quantitative field or engineering. Overall 8+ years in the field of customer success and AI based project delivery. 3+ years experience in Data contextualization, Data analysis, AI / Machine Learning model deployment in an organization . Ability to understand industrial customer requirements and come up with solutions that drives customer delight and achieves organizational objectives. Expertise with Python Extremely good in written and verbal communication. Should be able to lead engagements effectively. Ability and willingness to quickly learn and apply the latest technologies and innovate with speed . Ability to travel on the job as needed.
As a Senior Data Scientist, you will lead the design, development, and deployment of advanced machine learning and deep learning solutions across a variety of domains. You will work with large and complex datasets to drive business insights and power innovative AI products, including state-of-the-art Natural LanguageProcessing (NLP) and Generative AI (GenAI) systems. You will collaborate closely with engineering, product management, and business stakeholders to deliver end-to-end data science solutions, from problem definition through scalable deployment. You will play a key role in shaping our AI/ML strategy, leveraging your expertise in Python, ML/DL frameworks, and cloud technologies to deliver best-in-class solutions. What You'll Do Design, build, and deploy end-to-end machine learning and deep learning models for business-critical applications, with a focus on NLP, text classification, and generative AI use cases. Lead development and fine-tuning of Large Language Models (LLMs) and implement retrieval-augmented generation (RAG) pipelines. Utilize LangChain, LangGraph, and LangFlow frameworks to orchestrate LLM applications and workflows. Apply advanced NLP techniques to solve real-world business problems, including text extraction, summarization, classification, information retrieval, and entity recognition. Build scalable, production-grade ML pipelines using TensorFlow/PyTorch, and manage model lifecycle, including versioning, monitoring, and retraining. Design and execute experiments and benchmarks on model performance, data quality, and feature engineering. Deploy models as robust, secure APIs using Docker and Kubernetes on cloud platforms such as Azure. Collaborate with data and DevOps engineers to build, optimize, and maintain MLOps workflows and infrastructure. Work closely with stakeholders to understand requirements and translate business needs into technical solutions. Stay up-to-date with the latest research in AI, ML, NLP, and GenAI, and identify opportunities for innovation and improvement. Mentor and guide junior data scientists, promoting best practices in coding, experimentation, and documentation. Skills You'll Need 6+ years of hands-on experience in data science, with strong expertise in Python and its libraries (NumPy, pandas, scikit-learn,Pytorch etc.). Deep knowledge of core machine learning and deep learning algorithms and architectures. Demonstrated experience (1+ years) working with Generative AI technologies, including LLMs, fine-tuning, and RAG. Hands-on experience with NLP techniques and frameworks (spaCy, Hugging Face Transformers, NLTK, etc.). Extensive experience in TensorFlow and/or PyTorch, including building and training custom models. Proven track record of deploying ML solutions at scale using Kubernetes, Docker, and Azure cloud services. Practical experience with LLM orchestration frameworks such as LangChain, and LangFlow. Strong understanding of software engineering best practices, version control (git), containerization, and CI/CD for ML. Familiarity with data engineering concepts and tools for large-scale data processing and feature pipelines. Excellent communication and stakeholder management skills, with the ability to explain complex technical topics to a broad audience. Self-motivated, collaborative, and passionate about driving business impact through AI innovation. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; PhD is a plus. Preferred Experience in multi-cloud environments ( Preferably Azure) Knowledge of model monitoring, explainability, and responsible AI practices. Publications or contributions to the open-source data science/AI community.
SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. We are on a mission to build a World Class Engineering Team” with a high-performance culture. https://www.symphonyai.com/ Job Description: We are seeking a motivated and detail-oriented Recruiter Intern to join our HR team. This 3 month internship will provide hands-on experience in talent acquisition, recruitment processes, and employer branding. You will play a key role in sourcing candidates, coordinating interviews, and supporting the hiring process. Key Responsibilities: Assist in sourcing candidates using various platforms (LinkedIn, job boards, social media, etc.). Screen resumes and applications to identify qualified candidates. Conduct initial outreach and schedule interviews with shortlisted candidates. Coordinate and communicate with candidates and hiring managers throughout the recruitment process. Support the execution of campus hiring events, job fairs, and employer branding activities. Maintain and update recruitment databases and trackers. Provide administrative support to the HR team as required. Assist in drafting job descriptions and posting job ads. Participate in team meetings and contribute new ideas for recruitment strategies. Requirements: Currently pursuing or recently completed a degree in Human Resources, Business Administration, Psychology, or a related field. Strong interpersonal and communication skills. Good organizational skills and attention to detail. Proficient in MS Office (Word, Excel, PowerPoint). Ability to handle confidential information with integrity. Enthusiastic team player, eager to learn and take initiative. Prior experience with recruitment or HR (internship, coursework, or extracurricular) is a plus. What We Offer: Hands-on training and mentorship from experienced HR professionals. Exposure to end-to-end recruitment processes. Opportunity to work in a collaborative and supportive environment. Certificate of internship Why Join SymphonyAI? Opportunity to work with cutting-edge AI technology in a dynamic and innovative environment. Collaborative and inclusive company culture. Competitive compensation and benefits package. Professional growth and development opportunities.
Position Summary: The APAC Payroll Manager will have end-to-end responsibility for payroll operations across India, Malaysia, Singapore, Australia, New Zealand, and Thailand, within a fast-paced, high- growth startup environment. As part of a global payroll team, you will drive process excellence, compliance, and transformation, and must be adaptable, proactive, and collaborative. You will manage all payroll functions, including equity setup and processing, for both private and public entities and play a critical role in supporting IPO readiness and SOX controls. This is an excellent opportunity for a forward-thinking payroll professional with a global mindset, exceptional communication skills, and expertise in APAC payroll to help scale world-class payroll operations. Key Responsibilities: Oversee accurate and timely payroll processing for APAC countries (India, Malaysia, Singapore, Australia, New Zealand, Thailand) in a dynamic startup environment. Ensure compliance with local regulations, tax, and statutory requirements for each country. Manage all aspects of equity compensation, including setup, processing, and taxation of stock-based awards in partnership with legal and finance stakeholders. Serve as the primary point of contact for regional payroll queries and escalations. Manage relationships with internal stakeholders, external payroll vendors, banks, and auditors. Collaborate with finance and accounting teams on GL, chart of accounts, funding, and banking requirements. Ensure payroll processes, controls, and reporting meet requirements for both private and public company environments, including SOX compliance. Lead or support payroll activities associated with IPO readiness, including process reviews, documentation, system enhancements, and audit preparation. Support and execute global payroll audits; maintain robust controls and documentation. Identify and lead process improvement and automation initiatives to enhance payroll efficiency and scalability. Participate in M&A activities and entity consolidations; support payroll transitions and integrations.• Report payroll metrics and insights for the APAC region; ensure data integrity and confidentiality. Coach and manage a small team or direct report(s). Collaborate with global payroll colleagues to harmonize processes and share best practices. Ensure smooth delivery of payroll during global projects, including system upgrades and migrations. Use advanced Excel skills for data analysis, reporting, and reconciliation tasks. Stay adaptable to evolving priorities and thrive in a changing, fast-paced startup environment. Maintain flexibility to work EMEA hours and join calls with US-based stakeholders as needed. Maintain up-to-date knowledge of regulatory changes impacting payroll operations in both private and public contexts. Qualifications: Minimum of 10+ years end-to-end payroll experience, including APAC region (India, Malaysia, Singapore, Australia, New Zealand, Thailand). Demonstrated payroll management experience within both private and publicly traded companies required. Proven experience in supporting or preparing organizations for IPO readiness, including payroll-related process and documentation requirements. Hands-on experience with setup, administration, and processing of employee equity/stock programs. In-depth understanding and hands-on implementation of SOX (Sarbanes-Oxley) controls and compliance within a payroll environment. Exposure to payroll operations in Americas, LATAM, and EMEA regions highly advantageous. In-depth knowledge of payroll processes, compliance frameworks, and statutory requirements across APAC. Demonstrated experience with payroll-related audits, funding/banking, and general ledger interfaces. Advanced Excel skills (pivot tables, formulas, VLOOKUP, etc.) required. Experience with process optimization, automation projects, and supporting M&A or entity consolidation. Excellent verbal and written English communication. Experience with UKG is advantageous. Strong global mindset; ability to work cross-culturally and collaborate with remote teams. High degree of integrity, confidentiality, and professionalism. Personal Attributes: Thrive in a fast-paced, high-growth startup setting. Self-starter with high attention to detail and a continuous improvement mindset. Proven ability to build relationships and partner with stakeholders at all levels. Ability to work independently and manage multiple priorities in a fast-paced environment. Strong leadership and mentoring skills. Flexible, resilient, and able to pivot quickly to changing business needs.