Job description Support T24 upgrade (R10/R24) across AA, Treasury, Trade Finance, and Money Market modules Review vendor configuration, customizations, and integration plans (ATM, SWIFT, MQ, ACH). Participate in integration/functional testing and assistance Role: Technical Consultant Industry Type: Banking Department: Consulting Employment Type: Full Time, Permanent Role Category: IT Consulting Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Temenos T24Core BankingTechno FunctionalT24Consulting And Implementation Temenos

Job description Support T24 upgrade (R10/R24) across AA, Treasury, Trade Finance, and Money Market modules Review vendor configuration, customizations, and integration plans (ATM, SWIFT, MQ, ACH). Participate in integration/functional testing and assistance Role: Technical Consultant Industry Type: Banking Department: Consulting Employment Type: Full Time, Temporary/Contractual Role Category: IT Consulting Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Temenos T24Core BankingJBaseTafc And TafjInfoBasic AaTechno FunctionalT24Consulting And ImplementationTemenos

Job description Immediate opening for Telecaller Role & responsibilities Customer outreach and lead qualification Phone-based communication and follow-ups Perfect for strong verbal communicators * Benefits: Attractive Incentives Role: Voice / Blended - Other Industry Type: IT Services & Consulting Department: Customer Success, Service & Operations Employment Type: Part Time, Temporary/Contractual Role Category: Voice / Blended Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Telecalling CallingDomestic CallingOutbound ProcessOutbound Calling

Job description Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization, BCA in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization, MCA in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills openaiPrompt EngineeringGenerative AiFullstack Developmentrag Azure Cloud ServicesPython

Job description Role: Data Engineer (Azure, Snowflake) - Mid-Level Duration: 6+ Months Location: Remote Working Hours: 12:30pm IST - 9:30pm IST (3am - 12pm EST) Job Summary: We are looking for a Data Engineer with solid hands-on experience in Azure-based data pipelines and Snowflake to help build and scale data ingestion, transformation, and integration processes in a cloud-native environment. Key Responsibilities: Develop and maintain data pipelines using ADF, Snowflake, and Azure Storage Perform data integration from various sources including APIs, flat files, and databases Write clean, optimized SQL and support data modeling efforts in Snowflake Monitor and troubleshoot pipeline issues and data quality concerns Contribute to documentation and promote best practices across the team Qualifications: 3-5 years of experience in data engineering or related role Strong hands-on knowledge of Snowflake, Azure Data Factory, SQL, and Azure Data Lake Proficient in scripting (Python preferred) for data manipulation and automation Understanding of data warehousing concepts and ETL/ELT patterns Experience with Git, JIRA, and agile delivery environments is a plus Strong attention to detail and eagerness to learn in a collaborative team setting Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills AzureData EngineeringAzure Data FactorySnowflakePython JiraSQLData Warehousing ConceptsGitAgileAzure Data LakeETLAzure Storage

Job description Role: Senior Data Engineer Azure/Snowflake Duration: 6+ Months Location: Remote Working Hours: 12:30pm IST - 9:30pm IST (3am - 12pm EST) Job Summary: We are seeking a Senior Data Engineer with advanced hands-on experience in Snowflake and Azure to support the development and optimization of enterprise-grade data pipelines. This role is ideal for someone who enjoys deep technical work and solving complex data engineering challenges in a modern cloud environment. Key Responsibilities: Build and enhance scalable data pipelines using Azure Data Factory, Snowflake, and Azure Data Lake Develop and maintain ELT processes to ingest and transform data from various structured and semi-structured sources Write optimized and reusable SQL for complex data transformations in Snowflake Collaborate closely with analytics teams to ensure clean, reliable data delivery Monitor and troubleshoot pipeline performance, data quality, and reliability Participate in code reviews and contribute to best practices around data engineering standards and governance Qualifications: 5+ years of data engineering experience in enterprise environments Deep hands-on experience with Snowflake, Azure Data Factory, Azure Blob/Data Lake, and SQL Proficient in scripting for data workflows (Python or similar) Strong grasp of data warehousing concepts and ELT development best practices Experience with version control tools (e.g., Git) and CI/CD processes for data pipelines Detail-oriented with strong problem-solving skills and the ability to work independently Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Azure Data FactoryData EngineeringSnowflakeAzure Data LakeEtl Development Etl ProcessScriptingPythonSQL

Job description MDG consultant, responsible for functional and technical support/maintenance of master data objects in SAP MDG, ECC, S4H, FIORI Evaluation of the current information management of Architecture-Data (AS IS and future model profiling. Role: Technical Consultant Industry Type: IT Services & Consulting Department: Consulting Employment Type: Full Time, Temporary/Contractual Role Category: IT Consulting Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills MDGSAPABAP DQMECCS4HFiori

Job description Job Description Are You Ready to Make It Happen at Mondel z International Join our Mission to Lead the Future of Snacking. Make It With Pride. You will develop professional relationships with our customers and optimize base sales, NPD promotions. You will ensure great visibility in retailers and delivery of sales capabilities. Your drive will lead you to deliver the field KPIs and hit your annual objectives How you will contribute You will: Ensure a maximum visual impact and an optimum shelf availability through merchandising techniques. Implement and monitor promotional activities. Point of buying materials placement and implementation. Report on activities. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Excellent communication and inter-personal skills Solid knowledge about sales and negotiation processes Strong analytical skills Sales experience required, preferably FMCG/CPG Perseverance and attention to details More about this role What extra ingredients you will bring: 3/4 years of GT experience is must Education / Certifications: Full time graduation is mandatory Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Job Type Regular Field Sales Sales Role: Direct Sales Executive Industry Type: FMCG Department: Sales & Business Development Employment Type: Full Time, Permanent Role Category: Retail & B2C Sales Education UG: Any Graduate PG: Any Postgraduate Key Skills Analytical skillsInterpersonal skillsNPDField salesFMCGSales ExecutiveResearchMerchandisingDistribution networkMonitoring

Job description A Salesman's job description focuses on selling products or services, building customer relationships, and achieving sales targets. Perks and benefits Incentive and traveling allowance Role: Field Sales Executive Industry Type: Hardware & Networking Department: Sales & Business Development Employment Type: Full Time, Permanent Role Category: Retail & B2C Sales Education UG: Graduation Not Required Key Skills Field SalesSales Executive Activities

Job description Role Overview: We are seeking an expert instructor to demystify the intricacies of financial markets, products, risk management, and the regulatory environment. This role requires comprehensive knowledge of financial instruments, market dynamics, valuation models, risk assessment methodologies, and global financial regulations. You will prepare students to navigate and contribute to the complex world of modern finance. Key Responsibilities: Deliver live, highly interactive online classes covering a broad range of financial topics, including market microstructure, derivatives pricing, portfolio analytics, and risk management frameworks. Explain complex concepts such as Black-Scholes, structured products, VaR calculations, credit risk modeling, and regulatory compliance (e.g., Basel III, Dodd-Frank) with practical insights and real-world examples. Guide students through case studies, valuation exercises, and risk assessment scenarios, enhancing their applied understanding. Foster a highly disciplined and engaging learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Financial Theory & Core Markets: Asset pricing models, portfolio theory, derivatives, market microstructure, Modern Portfolio Theory, Black-Litterman model, factor models, equity valuation, fixed income analytics, alternative investments, order management systems, execution algorithms, market data feeds, Game Theory (auction theory, strategic trading, optimal stopping). Derivatives & Financial Engineering: Black-Scholes model, exotic options, interest rate derivatives, structured products, credit derivatives, commodity derivatives, Hull-White model, Black-Karasinski model, LIBOR Market Model, local volatility models, stochastic volatility models, jump-diffusion models, payoff design, risk-return optimization, calibration techniques. Risk Management & Portfolio Analytics: Value-at-Risk (VaR), Expected Shortfall, RAROC, economic capital, stress testing, credit risk modeling (PD, LGD, EAD), operational risk, Fama-French factors, momentum, quality, value factors, attribution analysis, benchmarking, alpha/beta decomposition. Research Methods & Regulatory Compliance: Backtesting methodologies, bias detection, statistical significance testing (application in financial research), Basel III, Solvency II, Dodd-Frank, MiFID II, product approval processes, capital requirements, investor protection. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Quantitative Finance, Financial Engineering, Economics, Business Administration (with a strong finance focus), or a closely related field. Relevant certifications (CFA, FRM) are highly valued. Experience: Proven experience in roles such as Quantitative Analyst (Buy/Sell-Side), Financial Engineer, Risk Manager (Quantitative), Algorithmic Trader, or a similar position within investment banks, hedge funds, asset managers, or regulatory bodies. We also consider freshers with exceptional academic records and demonstrable project experience in these domains. Domain Expertise: Possess an extremely strong and expert-level understanding of financial markets, complex financial products, risk management methodologies, and the regulatory landscape. Exceptional Communication Skills: Superior ability to articulate complex financial concepts, market dynamics, and regulatory requirements clearly and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and relevant financial software/platforms (e.g., Bloomberg Terminal, FactSet, quantitative libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading, especially with Algorithmic Trading or broader Quant experience, is a mandatory requirement for all applicants. This ensures practical relevance an