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Description : - Alteryx Developer with Banking/ Payment domain experience only. Required : - SQL, Power BI and/or Tableau, Alteryx Notice Period : - Only Immediate to 15 Days' Notice period Can apply - Develop dashboards and reports using Power BI/Tableau for business line intake requests - Perform data analysis to support business decisions - Support in transition of reporting from different tech stacks (tableau to power bi etc.) - Use Alteryx for data preparation and transformation - Data analytics professional who designs, builds, and maintains automated data workflows using the Alteryx platform. - They are responsible for transforming raw data into actionable insights for business decision-making, working across various departments like finance - Workflow Development : Develop, test, and implement data preparation, blending, and analysis workflows, macros, and analytic apps using Alteryx Designer - Work with business stakeholders, data analysts, and IT teams to gather requirements, troubleshoot issues, and deliver solutions that align with business needs. - Connect to and integrate data from various sources, including databases (SQL Server, Oracle, Snowflake)

Gurgaon/Gurugram

Alteryx Developer - Banking/Payment Domain 

Job Title : AI Engineer - Agentic & RAG Systems(AI & Data Platforms) Location : Remote, Notice period : immediate to 30 days only can apply - RAG Development & Optimization - Chatbot Quality & Evaluation Frameworks - Guardrails, Safety & Responsible AI. Multi-Agent Systems & Orchestration - Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data. - Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency. - Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.). - Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction). - Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention ("I don't know") strategies. - Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, CrewAI, or Haystack. - Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks. - Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have - Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics

Anywhere in India/Multiple Locations

Delhi NCR

Bangalore

Artificial Intelligence Engineer - RAG Development & Optimization 

Generative AI Developer : Job Description : Passionate Generative AI Developer to join our growing team. This role demands deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering, with a strong focus on driving business The ideal candidate will be comfortable working at the intersection of technology and industry, building scalable and innovative AI solutions that support personalization, automation, and decision intelligence. Key Responsibilities : - Design, develop, and deploy GenAI solutions using LLMs such as GPT, Claude, LLaMA, or open-source equivalents. - Build and optimize RAG pipelines leveraging vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. - Engineer, evaluate, and refine prompts to improve output accuracy and relevance across different use cases. - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline. - 3+ years of hands-on experience with LLMs, NLP, and GenAI development. - Strong understanding and implementation experience of RAG-based architectures. - Proficient in Python, with working knowledge of frameworks and libraries like HuggingFace, LangChain, OpenAI APIs, and Transformers. - Familiar with embedding techniques and vector databases (e.g., FAISS, Pinecone). - Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions. - Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP). - Experience with multimodal LLMs or custom model fine-tuning. - Integration of GenAI solutions into enterprise systems, BI tools, or customer-facing platforms. - Knowledge of ethical AI, data governance, and responsible AI practices in production environments.

Generative AI Engineer - LLM Models 

Key Responsibility : - Design, configure and supporting functional change requests related to Workday HCM business processes like Hire, Termination, Change Job. - Should have experience in understanding and creating complex Conditions rules, Notifications, Alerts and various Security policies. - Design, implement, and administer Workday security configurations for global Workday HCM set up as a subject matter expert for various Workday security groups, security domains around business process to all functional areas, etc. - Should have a strong understanding of Constrained & Unconstrained set up as well as security groups like Role based, User Based, Segmented, Intersection, etc. - Firsthand knowledge of implementing Workday Core HCM Set up, Workday Security set up with at least 1 end to end rollout. - Support queries from business & also manage reassignment of stuck tasks in Business processes, also manage from a security set up point of view, who can initiate, complete and approve various transactions. - Facilitate design workshops with key stakeholders from regional and global teams, gathering and documenting their business requirements - Translate business requirements into a technical delivery, detailing out all impacts and associated configurations - Build & manage all standard as well custom reports for auditing & governance standpoint. - As a functional lead, proactively propose and implement solutions to improve processes and data integrity, enhancing the end-user's experience. - Analyzing Workday Release Features, adopting new functionalities of Workday HCM & Security area by partnering with stakeholder and internal tower leads. - Delivery of functional enhancements as well as improvements in line with Functions needs for Workday HCM, Security & Access Management areas. - Cross Functional Partnerships with all other tower leads, to learn other functional modules and support the wider team. - Build out support materials to enable quality incident management. Build & review existing Knowledge articles and upkeep them. - Diagnose and resolve system issues escalated from Tier 1 support, including technical problems, data discrepancies, and user access issues. - Drive continuous improvements for our Workday Core HCM & Security concept and elevating our capabilities. Personal Attributes : - Believes in the delivery of absolute quality. - Strong diligence and focus - A logical thinker, who is adaptable to any situation. - Able to work effectively in a challenging environment. - Flexible and adaptable to manage both planned and unplanned responsibilities. - Ability to work in a collaborative, collaborative environment. - Coach & Mentor team members. - Highly Analytical and able solve both business and technical problems. - Excellent verbal and written communication skills to effectively interact with team members and senior stakeholders. - Ability to prioritize workload and execute tasks independently, providing timely follow-up and resolution. - Proven ability in developing effective working relationships across all levels of the organization. - Operates with an elevated level of integrity, diplomacy, tact, and professionalism. - An independent learner who can utilize Workday Community and translate research to aid with their delivery. Work Experience : - Workday Core HCM & Security lead with minimum 8 - 10 years of active configuration experience of Workday application delivery, including design, configuration, testing, and deployment. - Should have working knowledge in configuring and troubleshooting Workday Core HCM & Security area along with overall business process knowledge. - Should have experience in configuring basic core compensation and Reporting. - Candidate should have done at least one end to end implementation of Workday HCM & security module for complex organization. - Has led yearly releases / upgrades. - Candidate should have experience in fixing issues, deploying new enhancement based on Workday releases. - Should have experience in training other Workday consultants

Pune

Workday Core HCM & Security Lead 

Generative AI Developer Looking immediate to 30 days NP only Job Description : Passionate Generative AI Developer to join our growing team. This role demands deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering, with a strong focus on driving business The ideal candidate will be comfortable working at the intersection of technology and industry, building scalable and innovative AI solutions that support personalization, automation, and decision intelligence. Key Responsibilities : - Design, develop, and deploy GenAI solutions using LLMs such as GPT, Claude, LLaMA, or open-source equivalents. - Build and optimize RAG pipelines leveraging vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. - Engineer, evaluate, and refine prompts to improve output accuracy and relevance across different use cases. - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline. - 3+ years of hands-on experience with LLMs, NLP, and GenAI development. - Strong understanding and implementation experience of RAG-based architectures. - Proficient in Python, with working knowledge of frameworks and libraries like HuggingFace, LangChain, OpenAI APIs, and Transformers. - Familiar with embedding techniques and vector databases (e.g., FAISS, Pinecone). - Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions. - Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP). - Experience with multimodal LLMs or custom model fine-tuning. - Integration of GenAI solutions into enterprise systems, BI tools, or customer-facing platforms. - Knowledge of ethical AI, data governance, and responsible AI practices in production environments.

Generative AI Developer 

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