3931 Retrieval Jobs - Page 4

Bridging Technologies is hiring for AI Engineer: Experience: 3-5 years of experience Location: Mohali Job Description:- We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face , and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Responsibilities:- Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques. Integrate solutions using tools such as OpenAI, vector databases (e.g., Pinecone, FAISS), and generative AI frameworks like LangChain or Hugging Face. Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows. Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuously optimize AI models and pipelines for performance, scalability, and accuracy. Requirements: 3–5 years of experience in AI/ML-focused software development Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI Strong problem-solving abilities and solid understanding of system architecture and design Excellent communication and collaboration skills Must be able to work full-time from our office location (this is not a remote role). Job Type: Full-time Pay: ₹30,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Artificial Intelligence: 3 years (Preferred) Work Location: In person

Job Description: We are looking for an active and detail-oriented HR & Admin Executive (Generalist) with 2 to 3 years of experience. The ideal candidate should be well-versed in managing data, handling IT asset management, and overseeing HR and administrative operations efficiently. Key Responsibilities: HR Responsibilities: Handle end-to-end employee lifecycle processes including onboarding, induction, confirmation, and exit formalities. Maintain and manage HR data, employee records, and documentation accurately. Manage attendance, leave records, payroll inputs, and ensure data accuracy in HRMS. Respond to employee queries regarding HR policies and processes. Oversee statutory compliance (PF, ESI, Gratuity) and coordinate with consultants/vendors. Assist in performance management, employee engagement, and welfare activities. Draft HR letters, notices, and internal communications. Support recruitment processes by coordinating interviews and managing job postings when needed. Admin & Operations Responsibilities: Manage day-to-day office administration, including vendor management and office facility operations. Handle IT asset management – issuance, tracking, retrieval, and maintaining asset inventory records. Ensure proper record-keeping of IT assets such as laptops, dongles, headphones, and other equipment. Manage ticket bookings (flights, trains, hotels) for employees and leadership. Maintain petty cash records, track office expenses, and coordinate with accounts for vendor payments. Liaise with service providers for housekeeping, maintenance, courier, and facility management. Oversee AMC renewals, utility payments, and general upkeep of the office infrastructure. Key Requirements: Graduate/Postgraduate; MBA in HR or equivalent preferred. 2–3 years of experience in HR generalist and admin roles. Proficient in MS Office (especially Excel), data management, and HR/administrative tools. Strong ability to multitask, manage data efficiently, and work proactively. Knowledge of IT asset management and basic bookkeeping is an added advantage. Excellent communication, coordination, and problem-solving skills. Job Type: Full-time Schedule: Day shift Morning shift Work Location: In person

Job Title: Multi-Tasking Staff (Clerical & Filing Works) Department: Administration / Office Support Location: Thudiyalur, Coimbatore Reports To: Office Manager / Administrative Officer Job Summary: The Multi-Tasking Staff (MTS) is responsible for performing general clerical duties including filing, documentation handling, and other office support tasks. This position plays a vital role in maintaining organized and accessible records, supporting the administrative team, and ensuring smooth day-to-day operations in the office. Key Responsibilities:Clerical Duties: Perform data entry, photocopying, scanning, and document handling. Assist in preparing, editing, and formatting official documents. Deliver and collect files, papers, and other office items across departments. Maintain office records. Receive and distribute incoming mail and correspondence. Filing Duties: Systematically file documents in appropriate folders—both physical and electronic. Maintain proper indexing and labeling of all files. Ensure timely retrieval and dispatch of records when requested. Regularly check for misfiled or outdated records and correct them as per filing protocol. Ensure files are stored securely and confidential records are handled appropriately. Administrative Support: Monitor and replenish office supplies. Operate basic office equipment (printers, copiers, scanners). Provide support during meetings (setting up, arranging files, circulating materials). Assist senior staff with routine office tasks and errands. Keep storage and filing areas clean and orderly. Qualifications: Education: Minimum 10th / 12th pass from a recognized board. Experience: Previous experience in office clerical or filing work preferred but not mandatory. Job Types: Full-time, Permanent Pay: ₹13,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Morning shift Work Location: In person

Summary/Objective Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrolment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes. Job Overview We are looking for a highly skilled Database Administrator (DBA) to manage, maintain, and optimize our databases across multiple platforms. The ideal candidate will have extensive experience with AWS RDS, Microsoft SQL Server, and MongoDB , along with a strong understanding of database security, performance tuning, and high-availability architectures . This role is crucial in ensuring data integrity, security, and efficiency for our SaaS applications while meeting HIPAA and other healthcare compliance requirements . Key Responsibilities Database Management & Administration Design, configure, and maintain AWS RDS (PostgreSQL, MySQL, SQL Server), Microsoft SQL Server, and MongoDB databases. Ensure high availability, performance, and scalability of all databases Implement backup and disaster recovery strategies, including point-in-time recovery (PITR) and failover mechanisms. Monitor and optimize database performance using tools like AWS CloudWatch, SQL Profiler, and MongoDB Atlas Performance Advisor Manage database provisioning, patching, and version upgrades in production and non-production environments Security & Compliance Enforce data security best practices , including encryption, access controls (IAM, RBAC), and compliance with HIPAA and other healthcare regulations Perform regular security audits and vulnerability assessments using tools like AWS Security Hub and Tenable Implement and maintain database auditing, logging, and monitoring to detect and prevent unauthorized access Optimization & Automation Analyze and optimize query performance, indexing strategies, and database schema design. Automate database maintenance tasks using Terraform, AWS Lambda, PowerShell, or Python scripts. Work with DevOps to integrate CI/CD pipelines for database changes (e.g., Flyway, Liquibase). Optimize storage and resource utilization in AWS to reduce costs while maintaining performance Collaboration & Support Work closely with DevOps, Engineering, and Security teams to ensure database reliability and security. Provide guidance and best practices to developers on database design, indexing, and query performance tuning. Support application teams with troubleshooting, query optimization, and data modeling. Participate in on-call rotation for database-related incidents and outages. Required Qualifications & Experience 5+ years of experience as a Database Administrator in a SaaS or cloud environment. Strong expertise in AWS RDS (PostgreSQL, MySQL, or SQL Server). Proficient in Microsoft SQL Server, including T-SQL, SSMS, and high-availability configurations. Experience with NoSQL databases like MongoDB (Atlas preferred). Deep understanding of performance tuning, query optimization, indexing strategies, and partitioning. Familiarity with Terraform, AWS CloudFormation, or other Infrastructure-as-Code (IaC) tools. Experience with backup and disaster recovery strategies in AWS and on-prem environments. Knowledge of database replication, clustering, and high-availability architectures. Proficiency in scripting (Python, PowerShell, Bash) for automation. Strong knowledge of security best practices (IAM, RBAC, data encryption, audit logging). Familiarity with healthcare compliance requirements (HIPAA, HITRUST) is a plus. Preferred Skills & Certifications AWS Certified Database – Specialty Microsoft Certified: Azure Database Administrator Associate MongoDB Certified DBA Associate Experience with AI/ML-driven database performance optimization tools Exposure to data warehousing and analytics (Redshift, Snowflake, or BigQuery) Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without advance notice. Any changes may be for an indeterminate time frame. EEO Statement Reveleer provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

The Ops Support Specialist 4 is an entry-level position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Support Specialist 4 serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Follow established procedures to complete complex assignments and resolve problems that require in-depth investigation or research Provide team assistance, including serving as subject matter expert, leading special projects, training new hires within work unit, providing daily guidance to lower level employees, and allocation of work, as needed Conduct basic analysis and research as well as workflow management Support an expansive array of products and services Communicate pertinent information to senior managers and support activities that help mitigate organizational loss or impact, as needed Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 1-3 years of relevant experience Experience working in a business office or operational environment Proficient computer and math skills with a focus on complex databases and spreadsheets Demonstrates technical and administrative expertise Consistently demonstrates attention to detail Demonstrated knowledge of activities, policies, and procedures of a basic work area Education: High School diploma or equivalent This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Operations - Core - Job Family: Operations Support - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Administers document system access and revision control to ensure appropriate security based on business need Assists with the assessment, acquisition and/or deployment of electronic document management systems Assists in the development of document classifications to facilitate information storage and retrieval Assist managers and others in creating training curricula, materials, documentation Provide additional support to the Quality organization as required including maintaining original Quality documents, loading PDFs into the Quality SharePoint, updating controlled lists Participating in planning, and successful implementation of special requests made by Manager/Project Managers including special information needs such as the need to extract information from documents extracts list of project materials and provides to engineering Receive, file, and maintain all GXP documents, including but not limited to standard operating procedures (SOPs), test methods, specifications, incident reports, CAPAs, Product Complaints, computer system validation Manage a Document Repository that tracks the receipt, revisions and archiving of all GXP documents Oversee and administer document lifecycle management the Document Change Request process Assist in the maintenance of training records and documentation within our Learning Management System Job Types: Full-time, Permanent, Fresher Pay: ₹18,455.00 - ₹28,755.00 per month Benefits: Provident Fund Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Performance bonus Work Location: In person

Lead Assistant Manager EXL/LAM/1402761 Digital SolutionsNoida Posted On 26 Jun 2025 End Date 10 Aug 2025 Required Experience 1 - 4 Years Basic Section Number Of Positions 4 Band B2 Band Name Lead Assistant Manager Cost Code D012603 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 250000.0000 - 1050000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Product Practice Market SBU GenAI CoE Country India City Noida Center Noida - Centre 59 Skills Skill SQL PYTHON DOCUMENT PREPARATION STAKEHOLDER COMMUNICATION Minimum Qualification B.TECH/B.E Certification No data available Job Description Key Responsibilities: Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills: 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills: Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile: A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration. Workflow Workflow Type Digital Solution Center

Group Product Manager – Consumer Platform @ Paytm Travel About Paytm Group: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway, T Rowe Price, and Discovery Capital. Location: Gurgaon / Noida / Bengaluru Join one of India's fastest-growing travel platforms! At Paytm Travel, we're crafting the next generation of intelligent, user-centric travel experiences. We're seeking a passionate Product Manager to lead high-impact consumer products that reach millions. What you'll be doing: Owning a product: You'll be the boss of a major consumer travel product. Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Tech talk: Get ready to dive into system design and architecture discussions. AI is your friend: Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Move fast and break things (but not really): Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 7-10 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native app. Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills – comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams Why Join Us: Impact at Scale: Influence products used by millions across India Innovative Environment: Be part of a team that's pushing the boundaries of travel technology Growth Opportunities: Potential to contribute to our Flights product, allocating efforts based on business needs Collaborative Culture: Work alongside passionate professionals in a dynamic, fast-paced setting Ready to redefine travel experiences? Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About the Role: Grade Level (for internal use): 11 The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Global’s internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise : Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques : Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP : Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms : Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317163 Posted On: 2025-06-26 Location: Hyderabad, Telangana, India

Shift Timings : - Rotational ( 24*7 ) - Flexibility Week Off - 2 ( on Week Days ) One Time Meal Facility Available Job Description : - Customer Service Representative – Travel Industry Location: Gujarat (CG Road, Ahmedabad) About Technomine: Founded in 2008, we are a client centric Business Process Outsourcing and Knowledge Process Outsourcing partner based in India providing high quality services to our clients across the globe in the United States, United Kingdom, Europe and the Middle East. We primarily serve clients operating in the Video Surveillance, Travel Industry, Healthcare Industry, Medical Record Retrieval, Accounting Services, Recruitment firms and IT enabled Enterprise solutions. Our representatives can provide you with on-site support across the globe if required. With over ten years of experience and excellence in service, we have been a trusted business partner to our clients. () We are looking for someone with experience in managing a team of customer service agents (international customers) to join & be part of a new growing team with excellent career growth opportunities in near future. Summary of the job description and our expectations from candidates who apply follows below: Responsibilities: •Identify opportunities to enhance internal processes which promote best practice and lead to overall performance improvement and organisational efficiency. •Co-ordinate the activities of the Customer Service team; provide support and advice to team members. •Monitor performance and lead the team to achieve key performance indicators (KPIs) and provide an excellent service to customers. •Evaluate customer feedback and identify ways to maximise customer satisfaction. •Ensure that standard operating procedures are documented and maintained. •Produce written reports when required to do so. · Attending to customer and client queries from foreign destination for Hotel/flight booking and respond professionally to inbound phone calls and emails, including urgent situations. Attend to incoming calls and emails from travel booking customers and understand their problem · Be a first point of contact to handle and resolve Customer Reservations, handling after sales enquirers, bookings, documentation, complaints handling, etc. · The candidate will be responsible to handle outbound tourism by communicating with suppliers, Follow - up with Travel Agents and Suppliers for Outbound packages · Monitor various channels where customers may post their grievances like email, forums, chat support · Delight the customers with prompt suggestions of ideas and solutions to their problems and ensure that customers are satisfied with your resolution. · Send an email confirmation detailing the resolution and asking for customer feedback. · Document common customer queries and integrate into our Frequently Asked Questions module · Maintain a deep understanding of our product, service and industry knowledge to be able to speak with customers about the most relevant features and functionality for their specific needs Work Details- Technomine Travel Solutions ADMIN EXECUTIVE – TRAVEL & TOURS Tour loading System updates Ticketing (sending final documentation to suppliers and customers) Sending rooming lists E Ticket checking Other ad hoc duties as required by other departments from time to time Basic Qualifications: · Should have good knowledge of Travel Industry (International Destinations) · 3+ years' experience in Travel domain. · Fluency in English (oral and written communication skills) SHIFT TIMINGS : - 24*7 Rotational ( Biweekly Change in Shift will happen ) REQUIREMENT Ready to work in different timings considering it as his responsibility. Should be able to deal with clients, team members, be a part of client team meetings, training given by the client and also assist team members in different processes. Job Types: Full-time, Permanent, Fresher Pay: ₹19,700.00 - ₹30,000.00 per month Benefits: Food provided Paid sick time Provident Fund Schedule: Rotational shift Language: English (Required) Location: Navrangpura, Ahmedabad, Gujarat (Required) Work Location: In person Speak with the employer +91 9265898168

Atologist Infotech is looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications. You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines. Key Responsibilities AI Agent System Development Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning. Framework Engineering Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. Contextual Intelligence Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior. Natural Language Interfaces Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. API Engineering Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. System Architecture Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. Ethical AI Prioritize responsible AI design with user safety, transparency, and privacy at the core. Required Skills & Qualifications Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Python Proficiency Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing. AI/LLM Experience Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. Frameworks & Tools FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ) Version Control & Testing Proficient with Git workflows and writing tests using Pytest or similar. Bonus Skills (Nice-to-Have) Experience with autonomous agents, tool-calling, or memory-driven task systems Familiarity with cognitive architectures or symbolic reasoning Contributions to open-source AI frameworks or tooling Job Types: Full-time, Permanent Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Fixed shift Monday to Friday Supplemental Pay: Overtime pay Experience: AI: 3 years (Preferred) Work Location: In person

Collaborate with product managers and software engineers to integrate AI solutions into our products. Experience with LLMs, NLP, or computer vision. Familiarity with MLOps tools (e.g., MLflow, DVC) and model lifecycle management. Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Design and implement machine learning models and AI algorithms to solve real-world problems. Build and maintain scalable data pipelines and model deployment infrastructure. Monitor, evaluate, and continuously improve model performance in production. Stay current with the latest AI research and apply relevant findings to our products. Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data structures, algorithms, and software engineering principles. Knowledge of vector databases and retrieval-augmented generation (RAG). Exposure to CI/CD pipelines and DevOps practices. Job Types: Full-time, Permanent Pay: From ₹25,000.00 per month Benefits: Health insurance Provident Fund Supplemental Pay: Yearly bonus Work Location: In person

Job Summary: Manage end-to-end ERP operations: Production, Inventory, Dispatch, Purchase, and Project modules. Ensure timely and accurate data entry, approval tracking, and workflow alignment. Generate and distribute MIS reports, summaries, and alerts to department heads. Train team members on ERP usage; resolve day-to-day ERP issues. Coordinate with ERP vendors for customization, upgrades, and support. Perform regular data validation and back-up tasks. Manage all technical and non-technical documentation as per SOP document control standards. Maintain up-to-date control registers for drawings, SOPs, manuals etc. Numbering, filing, retrieval, and archiving of physical and system documents. Distribute controlled copies and track revisions across departments. Coordinate document flow between internal department . Ensure secure access control, traceability, and version management of critical Key Responsibilities: Manage end-to-end ERP operations: Production, Inventory, Dispatch, Purchase, and Project modules. Ensure timely and accurate data entry, approval tracking, and workflow alignment. Generate and distribute MIS reports, summaries, and alerts to department heads. Train team members on ERP usage; resolve day-to-day ERP issues. Coordinate with ERP vendors for customization, upgrades, and support. Perform regular data validation and back-up tasks. Key Skills & Competencies: Strong ERP skills (ST-ERP preferred), Excel expertise, and tech adaptability Good command over documentation protocols Excellent organization, follow-up, and multi-tasking ability High confidentiality, accuracy, and discipline in data/document management Strong interpersonal and communication skills Job Types: Full-time, Permanent Pay: ₹15,064.21 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): What is your current in-hand salary per month ? Who is your current Employer ? Education: Bachelor's (Required) Experience: ERP systems: 3 years (Required) Manufacturing: 3 years (Required) Location: Makarpura, Vadodara, Gujarat (Required) Work Location: In person Expected Start Date: 07/07/2025

Job Summary CDM: 6 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Hii We are hiring for contract job Location: Remote Budget: 120k Experience:6 yrs : Data Engineer (Graph RAG, Vector RAG, GenAI) 6+ yrs An offshore AI engineer who will design and build and Retrieval Augmented Generation (RAG) and Graph RAG. Ability to implement a vector RAG pipeline, plus a pilot knowledge graph (Neo4j/Tiger Graph/Neptune) proving Graph RAG viability. Implement GenAI architecture (vector+graph retrieval, ranking, grounding), fine tune LLMs, and ensure security/compliance. Experience in AI / Machine Learning / Data Science, LLM powered apps; proven RAG and Graph RAG delivery; Python, graph-DB query languages, and MLOps. Address troubleshooting and performance issues like hallucination, latency, and drift. 11:00 am to 8 pm (Candidate has to be flexible, may require overlap EST as per project need) An offshore AI engineer who will design and build and Retrieval Augmented Generation (RAG) and Graph RAG. Ability to implement a vector RAG pipeline, plus a pilot knowledge graph (Neo4j/Tiger Graph/Neptune) proving Graph RAG viability. Implement GenAI architecture (vector+graph retrieval, ranking, grounding), fine tune LLMs, and ensure security/compliance. Experience in AI / Machine Learning / Data Science, LLM powered apps; proven RAG and Graph RAG delivery; Python, graph-DB query languages, and MLOps. Address troubleshooting and performance issues like hallucination, latency, and drift.

Job Title: Senior AI Developer Location: Indore (Work from Office) Experience: 5+ years in AI/ML, with deep expertise in RAG and real-world deployments Type: Full-time Reports to: Founder / CTO About Us We are a tech company specializing in fan engagement solutions for sports leagues, teams, and iGaming operators. With a strong suite of fantasy games, prediction markets, and interactive platforms, we’ve built engaging digital experiences for millions of sports fans. We are now building the AI layer into our offerings — and we’re looking for the right person to lead this frontier. Role Overview We are hiring a senior AI leader who will own the strategy, research, and implementation of Artificial Intelligence within our products. The initial focus will be on building robust RAG-based systems , integrating internal and external data sources to provide intelligent insights and automation across our gaming and fan engagement platforms. This is a high-impact, hands-on leadership role with the mandate to build and scale our AI capabilities from the ground up. Key Responsibilities Define and lead the AI roadmap, starting with Retrieval-Augmented Generation (RAG) systems for internal tools and user-facing features. Build proof-of-concepts and MVPs that demonstrate the value of AI in fan engagement, fantasy gaming, and prediction systems. Work with structured and unstructured data (game stats, user behavior, content) to train and deploy intelligent agents and recommendation systems. Collaborate closely with product managers, data engineers, and front-end/backend developers to integrate AI solutions into live products. Evaluate and implement open-source and commercial LLMs, vector databases, and toolchains for optimal performance and cost. Hire and mentor a small team of AI/ML engineers as the department scales. What We’re Looking For Proven track record of delivering AI/ML features in production environments (not just research). Deep hands-on experience with RAG pipelines, including vector databases (Pinecone, Weaviate, FAISS), chunking strategies, embedding models, and prompt engineering. Strong understanding of transformer-based LLMs and fine-tuning approaches. Comfortable working with APIs, backend systems, and integrating AI into real-world software products. Bonus: experience in personalization, recommendation systems, or content generation in the sports, media, or gaming domain. Why Join Us Opportunity to build the AI foundation of a sports focused, product-development company. Freedom to experiment and deploy cutting-edge AI in consumer-facing applications with high engagement. Work on unique sports-related problems that combine data, content, and user behavior in creative ways. Job Type: Full-time Pay: Up to ₹1,700,000.00 per year Schedule: Day shift Application Question(s): How much experience do you have in building robust RAG-based systems? Are you comfortable relocating to Indore? Please mention your current ctc. Work Location: In person

Jd Cdm 3 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

We are seeking a talented Backend Developer for PB Health, the innovative healthcare arm of Policybazaar to join us on our mission to revolutionize the patient healthcare journey through a cutting-edge digital hospital ecosystem. PB Health , a subsidiary of PB Fintech, which is creating an integrated healthcare platform to connect patients, healthcare providers and insurers. The platform aims to simplify the healthcare experience, reduce paperwork, and improve access to care and insurance benefits using Advanced AI Technologies. PB Healthcare is also expanding its hospital network, starting with a 1,000-bed facility in the National Capital Region (NCR), and has raised $218 million to accelerate growth and innovation. Find more here. Job Summary : What you will do: ❖ Develop, test, and maintain scalable microservices using Go (Golang) within a cloud-native environment. ❖ Implement and improve RESTful APIs and gRPC services for communication between microservices. ❖ Ensure the system’s scalability, reliability, and maintainability by following best practices in microservices design and deployment. ❖ Implement real-time messaging and event-driven architectures with Kafka. ❖ Collaborate closely with product managers, frontend developers, and other backend engineers to deliver high-quality software. ❖ Maintain thorough documentation for the services you develop, including APIs, microservices architecture, and deployment instructions. ❖ Design and implement MySQL-based relational databases for structured data storage and management. ❖ Work with NoSQL databases (e.g., MongoDB, DocumentDB) for unstructured or semi-structured data storage and retrieval and query optimization. Expertise You'll Bring: ❖ Strong experience in building backend applications with Go. ❖ Experience with designing and implementing microservices architectures. ❖ Experience with containerization technologies (Docker). ❖ Proficiency in designing and working with MySQL for relational data management, including query optimization, schema design, and performance tuning. ❖ Experience working with NoSQL databases (e.g., MongoDB, AWS DocumentDB) for scalable and flexible document-based storage. ❖ Understanding of distributed system principles and best practices for scalability and fault tolerance. ❖ Strong problem-solving skills to address and resolve sophisticated database-related issues. ❖ Excellent communication skills both verbally and in writing with a passion for growth and collaboration. ❖ Working proficiency and communication skills in verbal and written English Good to have: ❖ Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration in Kubernetes. ❖ Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.

Jd Cdm 3 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Overview : We are seeking a highly skilled Full Stack Developer with expertise in Python, FastAPI, and backend technologies to work on the development and enhancement of our Learning Management System (LMS). The ideal candidate should have experience building scalable, high-performance applications and a strong foundation in integrating modern web technologies for educational platforms. You will play a crucial role in developing the backend services, API integrations, and ensuring a seamless user experience for our LMS platform. Key Responsibilities : Backend Development : Design and develop highly scalable and performant web services using FastAPI to support the LMS platform. Build and integrate RESTful APIs to facilitate the communication between the backend and frontend systems. Write optimized SQL queries for data management and work with relational databases (PostgreSQL, MySQL). Frontend Integration : Collaborate with the frontend development team to build interactive user interfaces using React.js . Ensure smooth API integration for real-time content loading, user management, and other LMS features. AI and Machine Learning Integration : Implement AI-based features such as personalized learning paths, content recommendation systems, and real-time chatbots using Generative AI frameworks. Assist in integrating AI models into the LMS for enhanced learning experiences. Database Management : Work with SQL databases such as PostgreSQL or MySQL, ensuring efficient data storage, retrieval, and management. Design and optimize database schemas and write queries that ensure the system can scale as the number of users increases. Collaborate closely with cross-functional teams (product, design, DevOps) to deliver features in a timely and efficient manner. Write clean, maintainable, and well-documented code. Perform code reviews, provide feedback, and ensure coding standards are maintained across the team. Mentor junior developers and guide them on best practices. Experience: 4+ Year Mandatory Skills : Backend Development : Strong experience in Python programming . Proficiency in FastAPI and familiarity with Django or Flask . Expertise in designing and developing RESTful APIs and backend services. Frontend Skills : Proficiency in React.js , HTML , CSS , and JavaScript for building dynamic and interactive user interfaces. Database Management : Hands-on experience with SQL databases (e.g., PostgreSQL , MySQL ). Strong knowledge of writing optimized SQL queries. AI/ML Integration : Experience with integrating Generative AI models Good to Have : Database Skills : Experience with NoSQL databases (e.g., MongoDB ). Authentication & Authorization : Familiarity with authentication protocols such as OAuth , JWT . Testing : Soft Skills : Strong problem-solving and analytical skills . Ability to work well within a team and collaborate effectively with stakeholders. Proactive attitude and willingness to take ownership of tasks and responsibilities. Excellent communication skills to explain technical concepts to non-technical stakeholders. Location : Lucknow (Work form office)

Prepare and manage purchase orders, invoices, and related financial documents. Perform basic bookkeeping tasks, including record keeping Ensure accuracy and completeness of all records as per company policies. Coordinate with various departments to collect and verify documentation. Organize physical and digital files for easy retrieval and compliance. Support audits and internal reviews by providing required documentation promptly. Monitor and maintain document control systems and filing standards. Requirements: Graduate in Commerce, Business Administration, or a related field. Proven experience in documentation, invoicing, or administrative roles. Basic knowledge of accounting and bookkeeping practices. Proficient in MS Office (Word, Excel) and document management software. Strong organizational skills and attention to detail. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹20,000.00 per month Schedule: Day shift Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Work: 2 years (Preferred) Work Location: In person

Korn Ferry is a global organizational consulting firm. We help clients synchronize strategy and talent to drive superior performance. Korn Ferry works with organizations to design their structures, roles, and responsibilities. We help them hire the right people to bring their strategy to life. And we advise them on how to reward, develop, and motivate their people. Our 10,000 colleagues serve clients in more than 50 countries. Korn Ferry Digital is a scaled product business unit within Korn Ferry that develops and sells our suite of talent products and HR technology, supporting clients across six solution areas: Organizational Strategy Assessment and Succession Talent Acquisition Leadership and Professional Development Sales and Service Total Rewards Our comprehensive talent suite leverages a combination of proprietary talent IP, talent data, analytics and insights to help customers understand their workforce and existing talent gaps, and deliver targeted talent interventions at scale using HR technology. About the Role Expertise in data visualization, dashboard development, and business intelligence strategies. Responsible for leading end-to-end Tableau solutions, including requirement gathering, Data modelling, and dashboard optimization. This role also involves, stakeholder management, and cross-functional collaboration. Here's What You Get to Do Lead data visualization initiatives and oversee the development of insightful Tableau dashboards. Collaborate with business teams, analysts, and data engineers to design efficient data solutions. Ensure high performance and scalability of dashboards by optimizing queries and data models. Implement best practices for data governance, security, and compliance. Work with data warehouse architectures, including Star and Snowflake schemas. Develop and maintain complex SQL queries, stored procedures, and data pipelines. Experience in integrating Tableau with APIs. Drive automation initiatives to improve data extraction, transformation, and visualization processes. Work in Agile environments, ensuring timely delivery and iteration based on feedback. Spearhead the migration of BI reports and visualizations built using React to Tableau. Collaborate with BI architects and other technical teams to understand the logic and structure of the existing React reports and adapt them to Tableauʼs ecosystem. Ensure that migrated reports in Tableau replicate the logic, interactivity, and business goals of the original React reports. Implement advanced features such as dynamic filters, drilldowns, parameters, and calculated fields to ensure that Tableau reports deliver the same functionality as the original React based reports. Work with the data engineering team to ensure proper integration between Postgres and Tableau. Develop efficient data models, including optimized data connections from Postgres to Tableau, and ensure data consistency and integrity. Create custom views or views in Postgres for optimal data extraction and reporting in Tableau. Implement role-based access control (RBAC) and security filters to manage data access in Tableau, in compliance with company policies. Ensure that Tableau reports comply with internal data governance and security standards. Conduct thorough testing of Tableau reports and dashboards to ensure the data is accurate, reports are performing as expected, and the visualizations meet business requirements What You Bring to The Table 8+ years of experience in BI development with Tableau. Proven experience in developing complex Tableau dashboards and reports with a strong grasp of advanced Tableau features (e.g., LOD expressions, table calculations, parameters, and dashboard actions). Expertise in working with Tableau Server and Tableau Desktop for creating and publishing reports. Expertise in Tableau Desktop, Tableau Server, and Tableau Prep. Strong command over SQL, and data modelling techniques. Strong proficiency in writing and optimizing SQL queries for Postgres databases, with a focus on large datasets and efficient data retrieval for Tableau reports. Familiarity with Postgres-specific features such as complex joins, views, and indexing to optimize data connections and performance in Tableau. Experience working with Postgres as a data source in Tableau. Ability to design and maintain efficient Postgres views or queries to support Tableau reporting requirements. Expertise in managing data extracts and live connections to Postgres to ensure data accuracy and performance. Experience in converting complex React/Angular-based reports into Tableau Familiarity with version control tools (e.g., Git) for managing Tableau workbook versions. Familiarity with data governance principles and ensuring compliance with internal standards. Experience working with data warehouses (AWS, Azure). Strong knowledge of ETL tools and data integration techniques Ability to work with large datasets and optimize reporting solutions. Strong understanding of business KPIs and performance metrics. Hands-on experience in Agile, Jira, Confluence, and CI/CD pipelines Equal Opportunity Statement Korn Ferry is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender

Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions. Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance. Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines. Cloud & Infrastructure Management Architect event-driven, serverless, and microservices architectures for AI/ML applications. Ensure high availability, disaster recovery, and cost optimization in cloud deployments. Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face Vector DBs: OpenSearch, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & GraphQL Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) Performance Optimization & Auto Scali

Role Title: Senior LLM Engineer – Generative AI Years of Experience: 5 – 9 Years Role Overview: We're seeking experienced Senior LLM Engineers to join its GenAI Delivery Organization, working on strategic AI initiatives for Fortune 500 clients. As part of this team, you will contribute to the development of cutting-edge AI systems, including multi-agent LLM solutions, Retrieval-Augmented Generation (RAG) pipelines, and open-source LLM deployments. This is a highly technical, hands-on role that demands deep expertise in machine learning, Python development, and modern LLM frameworks such as LangChain and LangGraph. Key Responsibilities: ● LLM Development: Design, train, fine-tune, and deploy LLM-based systems using prompt engineering, RAG techniques, and agent-based architectures. ● Codebase Ownership: Write and maintain high-quality, efficient, and scalable Python and SQL code using frameworks like LangChain and LangGraph. ● Cloud Deployment: Assist in the deployment and optimization of GenAI solutions across Azure, GCP, or AWS, ensuring cost-effective and high-performance infrastructure. ● Cross-functional Collaboration: Work closely with product managers, data scientists, and business SMEs to translate functional requirements into scalable AI solutions. ● Team Leadership & Mentorship: Provide technical guidance and mentorship to engineering peers, encouraging best practices and knowledge sharing. ● Innovation: Continuously stay updated on advancements in LLMs and Generative AI, evaluating new techniques and incorporating them into project workstreams. Required Skills: ● 5+ years of professional experience in building machine learning models and systems. ● 1+ years of hands-on experience specifically in LLMs and Generative AI, with expertise in: ○ Prompt Engineering ○ Retrieval-Augmented Generation (RAG) ○ Agent-based LLM systems ● Strong programming expertise in Python, LangChain/LangGraph, and SQL. ● Proven experience contributing to or driving a technical roadmap within an engineering organization. ● Familiarity with cloud platforms including Azure, GCP, or AWS. ● Excellent communication skills to effectively collaborate with cross-functional stakeholders and business SMEs.

Role Title : Senior LLM Engineer – GenAI / ML (Python, Langchain) Experience: 7–12 years of total experience in ML/Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI. Role Overview: We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3–4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions. Key Responsibilities ● GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. ● Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems. ● Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. ● AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions. ● Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases. ● System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models. Required Skills: ● 7–12 years of total experience in ML/Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI. ● Strong proficiency in Python, LangChain, and SQL. ● Deep understanding of LLM concepts including: ○ Prompt tuning ○ Embeddings ○ Vector databases (e.g., FAISS, Pinecone) ○ Agent frameworks ● Experience working with cloud platforms such as AWS, Azure, or GCP. ● Solid understanding of ML pipelines, deployment strategies, and GenAI use cases. ● Ability to work independently and collaboratively in fast-paced, cross-functional environments. ● Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders. Preferred Qualifications: ● Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations. ● Experience delivering ML/AI products from prototyping through to production. ● Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment. ● Prior involvement in client-facing projects or cross-functional teams building production-ready AI systems.