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0 years

0 Lacs

India

On-site

About Hannoworks Hannoworks designs cutting-edge AI solutions, blending business strategy and advanced technology. As part of our mission-driven team, you’ll help decode the world’s most innovative company business models and dissect the tech driving them forward. Job Description As AI Research Analyst (Intern) at Hannoworks, you will dive deep into how different companies operate, analyze their core business models, and investigate the underlying tech stacks—especially in digital and AI-powered products. You’ll not just skim the surface but explore the granular details that set successful business and technology strategies apart in a competitive world. Responsibilities Analyze and Compare Business Models: Explore, document, and contrast diverse company business models such as product, service, subscription, marketplace, and bundling. Deep Tech Stack Research: Map out typical technology stacks for AI companies (including infrastructure, data pipelines, ML frameworks, cloud platforms) and assess how these choices align with products and business value. RAG Systems & AI Native Products: Research RAG (Retrieval-Augmented Generation) architectures and the ecosystem of AI-native digital products, identifying what makes advanced AI integration successful or innovative. Real-World Product Insight: Study digital products—from cloud SaaS to consumer AI tools—to understand market fit, monetization, and the tech powering them. Present Research: Summarize findings in clear, well-structured reports (written and visual), and present insights to research and product teams. Qualification Open qualification —if you have the skills, you are welcome. Skills and Requirements Python Basics: Comfortable using Python for research, scripting, or automation tasks. Project Portfolio: At least one AI or tech project demonstrable on your GitHub profile. Curiosity for Tech & AI: Genuinely passionate about technology, with a habit of exploring, tinkering, and learning—especially around latest AI/ML and digital product trends. Understanding of Digital AI Products: Familiar with modern digital tools and platforms leveraging AI (can explain the value they create). Knowledge of RAG Systems: Understand how retrieval-augmented generation works, and can discuss its application in AI products. AI-Native Mindset: An “AI native”—someone who intuitively grasps how AI stacks, agents, and emerging products come together to create business and technical value. Communication: Ability to document research clearly and share insights—both in writing and when presenting. Self-driven: Independent learner, able to set research direction with minimal supervision. Bonus Points Familiarity with business frameworks (e.g., B2B, B2C, SaaS, freemium, marketplace, etc.). Experience with data visualization or reporting tools. Prior work on AI-powered or digital products—even if just prototypes.

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7.0 years

0 Lacs

Hyderābād

On-site

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking an experienced Quality Engineer for Salesforce Agentforce to join our Digital Success Engineering team. The ideal candidate should have a strong background in AI, retrieval-augmented generation (RAG), and Agentic technologies testing, along with expertise in Salesforce and programming languages like APEX, Python or Java. A passion for building robust automated testing solutions for Agentic user experience and application programming interfaces (APIs) is essential. In this role, you will develop automated quality assurance practices for scalable customer-facing and internal Agentforce implementations. Proficiency in testing framework, JavaScript, modern UI frameworks, WebDriver, Selenium, and API testing is required. You will create functional and automation tests for Agent UI and APIs while collaborating with team members to enhance existing code and frameworks. Experience with Jenkins or other CI/CD tools is a plus. Salesforce, the world’s #1 AI CRM, has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing and commerce, driving unprecedented efficiency and customer satisfaction. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. This role is crucial in redefining how we enable innovative experiences driven by Agentforce. You will key to the evolution of Customer Success in the realm of Agentforce. The Team Our Digital Success Engineering team is an interdisciplinary mix of distributed software engineers, architects and engineering managers working collaboratively to build Unified Experiences for our Trailblazers. As customer zero, we drive innovation by harnessing Salesforce technology to create and easy and expert self-service experience that fuels Trailblazer Success. The Role You will develop and implement a quality engineering, testing strategy, testing framework, managing manual and automated test cases to ensure seamless human-agent experiences with Salesforce Agentforce and DataCloud. Your responsibilities include defining and executing a comprehensive testing plan and collaborating with Product Managers, Developers, and cross-functional teams to deliver exceptional Customer Success experiences. PRIMARY RESPONSIBILITIES Quality Engineering Strategy & Leadership: Define, develop, and execute a comprehensive quality engineering and testing strategy specifically for Salesforce Agentforce, Data Cloud, and other relevant Salesforce platform capabilities. Test Automation Expertise: Design, develop, and maintain robust automated test scripts for Agent UI, Experience Site UI, and APIs using industry-standard tools and frameworks such as Selenium, WebDriver, JavaScript frameworks, and API testing tools. AI & Agentforce Testing: Develop specialized testing strategies and test cases for AI-powered features, including Retrieval-Augmented Generation (RAG), Agentic workflows, single turn / multi Turn conversation, Natural Language Processing (NLP), and Large Language Models (LLMs). Use AI and RAG testing metrics to define and measure testing outcome. Data-Driven Quality: Build and maintain datasets for training, fine-tuning, and evaluating the performance and accuracy of LLMs and other AI models. Implement data-driven approaches to measure and improve the quality of AI features. Functional & Salesforce Testing: Design and execute functional test plans and test cases tailored to Salesforce applications, including customizations using Flows, Triggers, Apex Jobs, and more. Possess a strong understanding of Salesforce best practices and governor limits. Continuous Integration & Continuous Delivery (CI/CD): Build and maintain automated quality control pipelines using Jenkins or other CI/CD tools to ensure seamless integration and deployment of high-quality software. Defect Management: Effectively identify, document, track, and manage defects to ensure timely resolution and contribute to root cause analysis. Collaboration & Communication: Partner effectively with Product Managers, Developers, UX Designers, and other stakeholders to understand requirements, provide timely feedback, communicate testing progress, and collaborate on solutions. Best Practices & Standards: Establish and champion quality standards, methodologies, and best practices within the team and across the organization. Performance Optimization: Continuously assess the performance of Agentforce implementations , identify potential bottlenecks, and recommend and implement proactive measures for optimization. Technical Expertise: Stay up-to-date with the latest Salesforce releases, AI advancements, and emerging testing trends. Stakeholder Management: Communicate testing progress, risks, and mitigation strategies effectively to various stakeholders, including both technical and non-technical audiences. Agile Participation: Actively participate in Agile development methodologies, contributing to sprint planning, daily stand-ups, and retrospectives. Problem-Solving & Analytical Skills: Demonstrate strong analytical and problem-solving skills to identify and resolve complex quality issues effectively. Professional Experience/Skills Required: Overall 7+ years of experience in Software Quality Engineering. 2+ years of hands-on experience with the Salesforce platform, including configuration and development across various Salesforce Customer 360 products (e.g., Sales Cloud, Service Cloud, Data Cloud, Einstein ). 3+ years of proven experience in testing Machine Learning (ML), Artificial Intelligence (AI) systems, and/or services. Strong proficiency in at least one programming language such as Python or Java, particularly relevant for test automation and AI/ML testing. Experience with Large Language Models (LLMs) and prompt engineering testing frameworks. Solid understanding of Retrieval-Augmented Generation (RAG) and Agentic technologies. Demonstrated experience in building and maintaining robust automated testing frameworks for UI and APIs. Proficiency in JavaScript and modern UI frameworks (e.g., React, Angular, Vue.js) for UI test automation. Experience with WebDriver and Selenium for browser automation. Strong analytical mindset with experience in using a data-driven approach to measure and improve the quality of complex ML/AI products. Proven experience with Salesforce DevOps, CI/CD processes, and automation tools. Deep understanding of Salesforce architecture, functionalities, and various clouds. Strong understanding of AI, machine learning, and natural language processing principles. Experience with data management principles and Customer Data Platforms (CDPs) or Data Lakes. Familiarity with development tools like SLDS, XML, HTML, SQL, JavaScript, JSON, and CSS. Proven ability to work effectively within cross-functional teams to achieve common goals and business objectives. Experience with Agile development or Scrum project management methodologies and tools. Solid understanding of software engineering principles, key design patterns, and best practices. Strategic thinker with the ability to see the big picture, innovate, and adapt to constant change. Ability to work under pressure, highly adaptable, and well-organized. Highly effective written and verbal communication skills with audiences across all levels of the organization. Strong organizational skills with the ability to establish and manage priorities in a complex and fast-paced environment. Strong knowledge of data management concepts and architectures. Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience. Salesforce Certifications (Preferred): Salesforce Platform App Builder Salesforce Administrator Salesforce-specific certifications related to Agentforce (if and when available) Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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3.0 years

0 Lacs

India

On-site

🚀 We're Hiring: Senior AI/ML Engineer | Join Our Mission to Build the Future of Intelligent Systems Are you passionate about cutting-edge AI and machine learning? Are you eager to build and deploy Large Language Models, intelligent agents, and transformative AI systems at scale? We’re looking for a " Senior AI/ML Engineer" to join our fast-moving team and make a real impact. 🔍 What You’ll Do: Fine-tune and optimize state-of-the-art models (Transformers, CNNs, RNNs) for real-world use cases Apply quantization and other optimization techniques (INT8, INT4, dynamic quantization) to maximize model performance Build, deploy, and scale intelligent AI agents and multi-agent systems Design APIs and services using FastAPI, Flask, or Django REST, and deploy using Docker/Kubernetes across AWS/GCP/Azure Collaborate on production-grade solutions using PyTorch, TensorFlow, Hugging Face Transformers Leverage vector databases (e.g., Pinecone, Weaviate, Chroma) to power intelligent applications ✅ What We’re Looking For: 3+ years of AI/ML development experience with a proven track record of delivering impactful projects Expertise in fine-tuning and deploying LLMs and deep learning models Deep understanding of modern AI workflows and frameworks (Transformers, Agents, RAG, etc.) Strong Python skills and solid software engineering fundamentals Hands-on experience with production environments, CI/CD, and cloud platforms Proficiency in databases (PostgreSQL + vector DBs) and collaborative Git workflows 🌟 Bonus Points For: Experience with distributed training and large-scale model development Familiarity with retrieval-augmented generation (RAG), prompt engineering, and chain-of-thought reasoning. Background in AI ethics or responsible AI practices Start-up or rapid development experience Bachelor’s or Master’s degree in Computer Science, AI, or a related field 🌐 Why Join Us? Work on high-impact, technically challenging problems Be part of a collaborative, fast-moving, and forward-thinking team Build products that leverage cutting-edge AI to solve real-world challenges Shape the direction of intelligent systems from the ground up \#AIJobs #MachineLearning #DeepLearning #LLMs #MLJobs #TechHiring #StartupJobs #ArtificialIntelligence #FastAPI #HuggingFace #PyTorch #Kubernetes #AIEngineer

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5.0 years

3 - 8 Lacs

Hyderābād

Remote

DESCRIPTION The role is based in Munich, Germany (this is not a remote opportunity). We offer immigration and relocation support. The vision of the Ontology Product Knowledge Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers. As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation. Tasks and Responsibilities: Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference Create new schema using Generative Artificial Intelligence (generative AI) models Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph Contribute to team goal setting and future state vision Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions Develop team operational excellence programs, data quality initiatives and process simplifications Evangelize ontology and semantic technologies within and across teams at Amazon Develop and refine data governance and processes used by global Ontologists Mentor and influence peers Inclusive Team Culture: Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs. Work/Life Harmony: Our team believes that striking the right balance between work and your outside life is key. Our work is not removed from everyday life, but instead is influenced by it. We offer flexibility in working hours and will work with you to facilitate your own balance between your work and personal life. Career Growth: Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing. Perks: You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer. We have offices around the globe, and have the opportunity to be considered for global placement. You’ll receive on the job training and group development opportunities. BASIC QUALIFICATIONS Degree in Library Science, Information Systems, Linguistics or equivalent professional experience 5+ years of relevant work experience working in ontology and/or taxonomy roles Proven skills in data retrieval and data research techniques Ability to quickly understand complex processes and communicate them in simple language Experience creating and communicating technical requirements to engineering teams Ability to communicate to senior leadership (Director and VP levels) Experience with generative AI (e.g. creating prompts) Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN) Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty) Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity Proven track record of strong communication and interpersonal skills Proficient English language skills PREFERRED QUALIFICATIONS Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields Experience building ontologies in the e-commerce and semantic search spaces Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance) Proficiency in SQL, SPARQL Familiarity with software engineering life cycle Familiarity with ontology manipulation programming libraries Exposure to data science and/or machine learning, including graph embedding Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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10.0 years

0 Lacs

Gurugram, Haryana, India

On-site

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities Strategy & Planning Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are aligned with regulatory compliance. Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. Ensure effective data management throughout the project lifecycle. Acquisition & Deployment Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. Data Architecture Design: Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. Design and implement scalable, high-performance data solutions that meet business requirements. Data Governance: Establish and enforce data governance policies and procedures as agreed with stakeholders. Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. Data Migration: Oversee the data migration process from legacy systems to the new systems being put in place. Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. Master Data Management: Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. Provide data management (create, update and delimit) methods to ensure master data is governed Stakeholder Collaboration: Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. Ensure the enterprise system meets the organization's data needs. Training and Support: Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. Promote user adoption and proper use of data. 10 Data Quality Assurance: Implement data quality assurance measures to identify and correct data issues. Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. Reporting and Analytics: Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems Enable data-driven decision-making through robust data analysis. Continuous Improvement: Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: Education: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

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5.0 years

4 - 8 Lacs

Hyderābād

On-site

About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

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10.0 years

0 Lacs

Hyderābād

On-site

Job Description Overview Deliver data governance in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation, with a focus on the supplier (vendor) domain. Responsibilities Drive supplier domain metadata mgmt. to enable understanding of data Lead supplier domain data quality mgmt. to ensure data is fit for business use Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data. Qualifications 10+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship. 10+ years of experience working with data in the Supplier domain, Source to Pay processes, involved systems and data usage. 10+ years of experience working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules. Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures.

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2.0 - 5.0 years

0 Lacs

Karīmnagar

On-site

Job Description – Accountant Key Responsibilities: Manage day-to-day accounting operations, including Accounts Receivable (A/R), Accounts Payable (A/P), and General Ledger. Prepare and maintain accurate financial reports, ledgers, and perform monthly/yearly closing activities. Conduct bank reconciliations and oversee petty cash management. Monitor inventory movement and costing for tools, spares, slabs, and machinery. Coordinate with external auditors, vendors, and suppliers for smooth financial operations. Ensure compliance with GST, TDS, and other statutory regulations. Assist in budgeting, forecasting, and performing cost analysis to support business decisions. Maintain well-organized documentation and filing systems for easy retrieval of records. Qualifications: Bachelor’s degree in Accounting, Finance, or a related field. 2–5 years of proven experience in accounting, preferably within trading or import businesses (granite industry experience is an advantage). Proficiency in accounting software such as Tally, MS Excel, and ERP systems. Strong analytical, organizational, and communication skills. Familiarity with import/export documentation and inventory control will bconsidered an asset. Job Types: Full-time, Permanent, Fresher Benefits: Flexible schedule Internet reimbursement Leave encashment Paid sick time Paid time off Work Location: In person

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0 years

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Hyderābād

On-site

Job Description: Under general supervision, provides comprehensive administrative assistance to brokers and managers, including expense report creation, agreement drafting, invoice processing, marketing material creation, and meticulous document management. Essential Job Duties: Provide general administrative support to brokers and managers, including creating expense reports, drafting agreements, processing invoices in Coupa, creating templated marketing materials and tour books. Documentation: Create and maintain digital and physical files, ensuring accurate organization and easy retrieval of important documents. Assist in preparing reports, presentations, and other documentation as needed. Data Entry: Input and manage data in various systems and platforms including Oracle iExpense and the Newmark Revenue Management System. Maintain accuracy and attention to detail while entering and updating information. Research: Conduct online research to gather information, data, or resources as required by team members. Summarize findings and present them in a clear and concise manner. Strong analytical, writing and communication skills Strong organizational and multi-tasking skills Other Job Functions: Assist on various projects as needed. Skills, Education and Experience: Bachelor’s degree; preferably in related subjects such as Economics, Finance, Mathematics, Business Law Must be familiar with PC applications such as MS-Excel ad MS-Word. Experience with computerized accounting systems a plus. Working shift timings: Shift 1: 6 pm to 3 am IST Shift 2: 9 pm to 6 am IST

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3.0 - 5.0 years

1 - 1 Lacs

Malappuram

On-site

Job Title: MRD Supervisor / In-Charge Location: Almas Hospital - Kottakkal Department: Medical Records Department (MRD) Reporting To: Hospital Administrator / Quality Head Job Type: Full-Time Job Summary: We are seeking an experienced and detail-oriented MRD Supervisor / In-Charge to oversee the effective functioning of the Medical Records Department. The ideal candidate will ensure proper documentation, confidentiality, indexing, and retrieval of patient medical records in compliance with hospital policies and applicable healthcare regulations (e.g., NABH, HIPAA). Key Responsibilities: Supervise daily operations of the Medical Records Department. Ensure proper filing, storage, retrieval, and archiving of patient records (physical and electronic). Maintain confidentiality and security of medical records. Coordinate with clinical departments to ensure timely and complete documentation. Ensure compliance with hospital standards, NABH, and legal requirements. Handle patient record requests from patients, insurance, and legal bodies, with proper authorization. Oversee the implementation and maintenance of EMR systems (if applicable). Train and monitor MRD staff on records handling, indexing, and medical coding basics. Prepare and maintain departmental reports, audits, and statistics. Support hospital accreditation processes and internal audits. Qualifications: Bachelor’s degree in Health Information Management, Hospital Administration, or related field. Minimum 3–5 years of experience in MRD operations, preferably in a hospital setting. Knowledge of medical terminology, records coding, and hospital documentation practices. Familiarity with NABH standards and medical record keeping guidelines. Proficiency in computer applications and hospital EMR/HIS systems. Strong leadership, communication, and organizational skills. Preferred: Certification in Health Information Management (HIM) or related discipline. Prior experience working with NABH or JCI-accredited institutions. Job Type: Full-time Pay: ₹12,000.00 - ₹15,000.00 per month Education: Bachelor's (Preferred) Experience: MRD: 3 years (Required) Work Location: In person

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9.0 years

0 Lacs

Kolkata, West Bengal, India

On-site

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI – Application Developer EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and study more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. EY is currently seeking a Generative AI – Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata India. The opportunity We’re looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm whilst being instrumental in the growth of a new service offering. Your Key Responsibilities Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy. Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. Skills And Attributes For Success Must-Have: Skilled in full-stack application development with .NET C#, REST Api, React or any other typescript based UI frameworks, SQL databases Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID etc. Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS) No-SQL database such Cosmos or Mongo DB Working experience with source control such as git or TFVC CI/CD pipelines, Azure DevOps, GitHub Actions etc. Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. Fundamental understanding of various types of Large Language Models (LLMs) Fundamental understanding of Retrieval Augment Generation (RAG) techniques Fundamental understanding of classical AI/ML Skilled in Advanced prompt engineering Nice-to-Have: Awareness about various AI Agents/ Agentic workflow frameworks and SDKs Graph Database such as Neo4j Experience with M365 Copilot Studio Microsoft Azure AI-900/ AI-102 Certification Behavioural Skills: Excellent learning ability. Strong communication skill. Flexibility to work both independently and as part of a larger team. Strong analytical skills and attention to detail. The ability to adapt your work style to work with both internal and client team members. To qualify for the role, you must have Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH An overall 5 – 9 years of experience. Ideally, you’ll also have Thorough knowledge Tax or Finance Domain. Strong analytical skills and attention to detail. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY TAS practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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0 years

0 Lacs

Connaught Place

On-site

Responsibilities: Collaborate with the creative team to understand project requirements and objectives. Assist in planning and executing photoshoots for various projects, including products, events, and marketing campaigns. Capture high-quality, visually appealing photographs using digital cameras and other equipment. Edit and retouch photos to ensure they meet the company's visual standards. Manage and organize the digital asset library, ensuring easy access and retrieval of images. Stay updated on industry trends and photography techniques to enhance skills. Participate in brainstorming sessions to contribute creative ideas for visual content. Qualifications: Currently enrolled in a photography, visual arts, or related program. Proficiency in operating digital cameras, lighting equipment, and photo editing software. Strong understanding of composition, lighting, and visual storytelling. Knowledge of various photography styles, including product, portrait, and event photography. Ability to take direction and work collaboratively in a team environment. Excellent organizational and time-management skills. Strong attention to detail and commitment to producing high-quality work. Job Type: Full-time Work Location: In person

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6.0 years

0 Lacs

Chennai, Tamil Nadu, India

On-site

BI Visualization Developer Power BI Developer Location Chennai Work from Office Tier T3 We are seeking a skilled and detail oriented BI Visualization Developer with a passion for transforming healthcare data into meaningful interactive and user friendly dashboards The ideal candidate will have hands on experience in Power BI SQL and data modeling and a proven track record of delivering business critical KPIs and metrics in an impactful visual format You will play a key role in enabling data driven decisions across clinical operational and financial functions in the healthcare domain Job Responsibilities Design develop and maintain interactive dashboards and visual reports using Power BI to present complex healthcare data in a clear concise and user friendly format Work closely with business stakeholders analysts clinicians and executives to gather requirements and understand the key KPIs and performance metrics that need to be visualized Translate business needs into visually compelling and analytically rich dashboards that support strategic and operational decision making Write complex SQL queries to extract transform and analyze healthcare data from various sources e g EHRs claims data patient records EMRs Build and optimize data models star snowflake schemas to support efficient data retrieval and accurate calculations within Power BI Ensure data accuracy quality and integrity across all reports and dashboards Implement row level security RLS drill downs tooltips and custom visuals for better user interaction and experience Optimize dashboard performance and follow best practices for data visualization and usability Collaborate with data engineers data stewards and domain SMEs to understand source systems and ensure semantic alignment Prepare and maintain documentation for dashboards data sources and business logic Technical Skills 6 years of experience in BI reporting development with a strong focus on Power BI Solid experience writing complex SQL queries for data extraction transformation and analysis Proficient in data modeling concepts e g fact dimension tables relationships calculated columns measures using DAX Strong understanding of healthcare data such as patient demographics clinical metrics quality measures claims data or financial performance Experience with KPI tracking scorecards and translating healthcare operational metrics into data visualizations

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0 years

0 Lacs

Haryāna

On-site

Mandatory Certifications (Any 1)1. AI-102 Microsoft Certified: Azure AI Engineer Associate.2. DP-100 Microsoft Certified: Azure Data Scientist Associate. Good To Have1. Azure Storage / Azure Deployments / Azure Data Factory2. Database Skills - SQL Server Requirements: • Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search. Strong proficiency in Python, GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search. Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS. Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications. Familiarity with microservices and API development. Knowledge of data security, privacy, and compliance best practices. Design and implement robust testing and validation strategies for AI solutions, including unit, integration, and end-to-end tests for chat interfaces and AI-driven features. Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions. Integrate the application with AI data models via secure, scalable APIs, ensuring seamless data flow and real-time interaction between the application and AI services. Validate AI outputs for correctness, relevance, and compliance with business requirements. Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy. Ensure compliance with ethical standards and regulatory requirements in AI development and deployment. Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement. Experience with automated testing, CI/CD pipelines, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: • Experience with telemetry analytics, observability platforms, or similar domains. Familiarity with AI/ML model deployment and MLOps in Azure. Knowledge of banking, payments, or financial services applications Locations: -Gurgaon, Hybrid (4 Days), No ODC Grade, Experience: -4A/4B, 6 Y – 10 Y Notice Period: -look for immediate, 30 Days, 60 Days.

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13.0 years

5 - 7 Lacs

Gurgaon

On-site

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 13+years. Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Exposure to graph-based models, knowledge graphs, and related query languages. Hands-on skills in data engineering and building robust ML pipelines. Experience with personalization engines and digital marketing platform integrations Architect scalable, cloud-based AI/ML solutions on AWS, Azure, or GCP, integrating data pipelines and AI services. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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0 years

0 Lacs

Gurgaon

On-site

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. 1. Support the development and maintenance of business intelligence and analytics systems to support data-driven decision-making. 2. Implement of business intelligence and analytics systems, ensuring alignment with business requirements. 3. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. 4. Enable self-service data exploration capabilities for users to analyze and visualize data independently. 5. Develop reporting and analysis applications to generate insights from data for business stakeholders. 6. Design and implement data models to organize and structure data for analytical purposes. 7. Implement data security and federation strategies to ensure the confidentiality and integrity of sensitive information. 8. Optimize business intelligence production processes and adopt best practices to enhance efficiency and reliability. 9. Assist in training and support to users on business intelligence tools and applications. 10. Collaborate and maintain relationships with vendors and oversee project management activities to ensure timely and successful implementation of business intelligence solutions. Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills and Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

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1.0 years

1 Lacs

Raipur

On-site

Core Responsibilities: Data Input: Accurately entering data into various systems, including databases, spreadsheets, and other data management tools. Data Verification: Reviewing data for errors, inconsistencies, and discrepancies, and correcting them to ensure data integrity. Data Management: Maintaining and organizing both physical and digital files related to data records. Data Retrieval: Responding to requests for data retrieval and providing reports to relevant teams. Data Security: Following company procedures for data storage, handling, and security, ensuring the confidentiality of sensitive information. Report Generation: Preparing and generating reports, summaries, and other documentation as required by management. Record Keeping: Maintaining records of data entry activities and ensuring all data is backed up regularly. Job Type: Full-time Pay: From ₹10,000.00 per month Benefits: Food provided Experience: Data entry: 1 year (Required) Language: English (Preferred) Work Location: In person

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5.0 years

4 - 8 Lacs

Chennai

On-site

DESCRIPTION Key Responsibilities: Own and develop advanced substitutability analysis frameworks combining text-based and visual matching capabilities Drive technical improvements to product matching models to enhance accuracy beyond current 79% in structured categories Design category-specific matching criteria, particularly for complex categories like fashion where accuracy is currently at 20% Develop and implement advanced image matching techniques including pattern recognition, style segmentation, and texture analysis Create performance measurement frameworks to evaluate product matching accuracy across different product categories Partner with multiple data and analytics teams to integrate various data signals Provide technical expertise in scaling substitutability analysis across 2000 different product types in multiple markets Technical Requirements: Deep expertise in developing hierarchical matching systems Strong background in image processing and visual similarity algorithms Experience with large-scale data analysis and model performance optimization Ability to work with multiple data sources and complex matching criteria Key job responsibilities Success Metrics: Drive improvement in substitutability accuracy to >70% across all categories Reduce manual analysis time for product matching identification Successfully implement enhanced visual matching capabilities Create scalable solutions for multi-market implementation A day in the life Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior Business Research Analysts. About the team The RBS-Availability program includes Selection Addition (where new Head-Selections are added based on gaps identified by Selection Monitoring-SM), Buyability (ensuring new HS additions are buyable and recovering established ASINs that became non-buyable), SoROOS (rectify defects for sourceble out-of-stock ASINs ) Glance View Speed (offering ASINs with the best promise speed based on Store/Channel/FC level nuances), Emerging MPs, ASIN Productivity (To have every ASINS actual contribution profit to meet or exceed the estimate). The North-Star of the Availability program is to "Ensure all customer-relevant (HS) ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed." To achieve this, we collaborate with SM, SCOT, Retail Selection, Category, and US-ACES to identify overall opportunities, defect drivers, and ingress across forecasting, sourcing, procurability, and availability systems, fixing them through UDE/Tech-based solutions. BASIC QUALIFICATIONS 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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0 years

1 - 2 Lacs

Chennai

On-site

A Medical Records Clerk is responsible for maintaining and managing patient medical records in a healthcare setting. Their duties include organizing, filing, retrieving, and ensuring the accuracy and confidentiality of patient information. They also assist with data entry, processing admissions and discharges, and responding to requests for medical records. Here's a more detailed breakdown: Key Responsibilities: Record Management: Maintaining and organizing patient files, both physical and electronic, ensuring they are accurate, complete, and readily accessible. Data Entry: Accurately entering patient information into the system, including demographic details, medical history, and treatment information. Record Retrieval: Locating and providing medical records to authorized personnel, such as doctors and nurses, as needed. Filing: Properly filing documents, reports, and other materials related to patient care in a timely manner. HIPAA Compliance: Ensuring that all patient information is handled in accordance with HIPAA regulations and other relevant privacy laws. Patient Administration: Assisting with patient admissions and discharges, including preparing necessary forms and documentation. Record Audits: Reviewing medical records for completeness, accuracy, and compliance with established standards. Communication: Effectively communicating with healthcare professionals, patients, and insurance companies regarding medical records. General Clerical Duties: Performing other clerical tasks as needed, such as answering phones, responding to inquiries, and preparing correspondence. Job Types: Full-time, Fresher Pay: ₹8,737.68 - ₹20,022.51 per month Benefits: Health insurance Provident Fund Schedule: Day shift Rotational shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

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0 years

1 - 1 Lacs

India

On-site

DATA ENTRY: Proficiency in Microsoft Office, especially Excel. Fast typing skills with an eye for detail. Ability to work independently and manage time effectively. Strong organizational skills. Basic understanding of databases. Good communication skills Input data from paper documents into digital spreadsheets and databases. Update and maintain customer information and order statuses. Verify data for accuracy and correct any discrepancies. Organize and sort data for efficient retrieval and use. Perform regular backups to secure data. Operate office equipment like scanners and printers. Assist with special projects requiring large amounts of data entry. Provide administrative support as needed. Job Types: Full-time, Permanent, Fresher Pay: ₹12,374.64 - ₹15,437.57 per month Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Performance bonus Yearly bonus Language: English (Preferred) Work Location: In person

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5.0 - 6.0 years

4 - 8 Lacs

Chennai

On-site

Job Title Document Controller - Datacenter/Residential | Chennai Job Description Summary This role is responsible for the timely, accurate and efficient preparation and management of documents. Also control the numbering, sorting, filing, storing and retrieval of both electronic and hard copy documents produced by technical teams, projects or departments Job Description Controlling company and project documentation Following and improving document control procedures Ensuring all documentation meets formal requirements and required standards. Sorting, storing, and retrieving electronic and hard copy documents on behalf of clients and industry professionals. Producing document progress reports for senior managers Conducting regular reviews and document audits Organize and distribute documents within a company. Ensure documents are shared at key times to facilitate timely project completion. About You: understanding on ACC Platform/ BIM portal as entire design submission and approval works in BIM portal. He/she should have 5- 6 years’ experience in handling various documents related to design, contract, project, quality & safety. Basic aware of document process with respect to the construction project. Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organisation committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

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0 years

1 - 3 Lacs

Chennai

On-site

Document Creation and Maintenance: Documentation Executives are responsible for creating new documents, updating existing ones, and ensuring all documentation is accurate, clear, and easily accessible. Document Organization and Filing: This involves implementing and maintaining efficient filing systems, both physical and electronic, for easy retrieval of information. Compliance and Regulatory Adherence: Ensuring all documentation complies with relevant regulations, laws, and industry standards is a crucial aspect of the role. Collaboration and Communication: Working with various teams (e.g., sales, logistics, finance) to gather information for documentation and communicating updates or changes effectively. Document Control: Maintaining version control, tracking changes, and managing document lifecycles to ensure accuracy and prevent inconsistencies. Age limit:20 to 30. Job Types: Full-time, Permanent, Fresher Pay: ₹8,719.57 - ₹30,547.61 per month Work Location: In person

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0 years

2 - 6 Lacs

Chennai

On-site

The Ops Sup Analyst 1 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 Sup Analyst 1 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: Perform business analysis and documentation of the current and future state of Client Reports and Advices (client communication letters, notices, and confirms) Provide regular status updates for all project participants and create presentations for steering committee updates Work with various Legal & Compliance teams to obtain sign-off on all regulatory business requirements Serve as primary liaison between the key business stakeholder and technology, including recommending business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Recommend business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Create and facilitate training sessions, webcast demos and write User Acceptance Test scripts and business scenarios against specified requirements Create, manage and maintain project plans and act as the project manager for all follow ups across various departments Work on multiple projects in parallel focusing on continued delivery of regulatory client deliverables, such as legal statements/performance reporting/advices/letters/notices Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. 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: Previous relevant experience preferred Proficient in Microsoft Office General knowledge of client reporting across the industry and our competitors Working knowledge of SQL environments and database queries Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience 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.

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3.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

We are seeking an experienced Senior AI Engineer with 3+years of experience to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS.

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3.0 years

0 Lacs

Noida

On-site

About the Role: As a full stack specializing in backend development at dailytrades.in you will play a pivotal role in designing, developing, and maintaining robust backend systems for our fintech products. You will work closely with cross-functional teams to ensure seamless integration of backend services with frontend applications, ensuring optimal performance, security, and scalability. The ideal candidate is passionate about leveraging technology to solve complex challenges in the financial domain and possesses a strong proficiency in MongoDB, React.js, Node.js, and related technologies. Responsibilities : Design, develop, and deploy scalable backend systems and APIs to support fintech applications. Collaborate with frontend developers, product managers, and other stakeholders to understand requirements and translate them into technical solutions. Optimize application performance and ensure high availability, reliability, and security of backend services. Implement data storage solutions using MongoDB and other relevant databases, ensuring efficient data retrieval and manipulation. Integrate third-party APIs and services as needed to enhance product functionality. Conduct code reviews, write automated tests, and ensure adherence to coding standards and best practices. Troubleshoot and debug issues reported by QA or end-users, providing timely resolutions. Stay updated on emerging technologies and industry trends, continuously improving your skills and knowledge. Key Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. years of experience in backend development, with a focus on fintech or related industries. Proficiency in MongoDB, designing schemas, and optimizing database performance. Strong command of Node.js and Express.js for building RESTful APIs and backend services. Experience with React.js and frontend development is a plus. Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of security best practices, including authentication, authorization, and data encryption. Excellent problem-solving skills and attention to detail. Effective communication skills and ability to work collaboratively in a team environment. Why Join Us: Opportunity to work on cutting-edge fintech solutions that make a real impact in the financial industry. Collaborative and inclusive work culture that values innovation, creativity, and continuous learning. Competitive salary and benefits package, including health insurance, retirement plans, and flexible work hours. Professional growth opportunities through training, mentorship programs, and career development initiatives. Job Types: Full-time, Permanent Pay: ₹3.00 - ₹6.00 per year Benefits: Cell phone reimbursement Provident Fund Experience: total work: 3 years (Preferred) Work Location: In person

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Exploring Retrieval Jobs in India

The job market for retrieval roles in India is growing rapidly, with many companies looking for skilled professionals to manage and retrieve important information. Whether you are a seasoned professional or just starting out in your career, there are ample opportunities in this field for job seekers across the country.

Top Hiring Locations in India

Here are 5 major cities in India that are actively hiring for retrieval roles: 1. Bangalore 2. Mumbai 3. Delhi 4. Hyderabad 5. Pune

Average Salary Range

The average salary range for retrieval professionals in India varies based on experience and location. Entry-level positions may start around INR 3-5 lakhs per annum, while experienced professionals can earn upwards of INR 10-15 lakhs per annum.

Career Path

In the field of retrieval, a typical career path may include roles such as Data Analyst, Information Specialist, and Knowledge Manager. As professionals gain experience, they may progress to roles like Data Scientist, Research Manager, and Chief Information Officer.

Related Skills

In addition to proficiency in retrieval techniques, professionals in this field may benefit from having skills in data analysis, data management, information architecture, and database management.

Interview Questions

  • What is the importance of data retrieval in a business setting? (basic)
  • Can you explain the difference between structured and unstructured data retrieval? (medium)
  • How do you ensure data security and privacy during retrieval processes? (medium)
  • What are the key challenges you have faced in data retrieval projects and how did you overcome them? (medium)
  • Can you discuss a time when you had to retrieve data from multiple sources and how did you ensure accuracy and consistency? (medium)
  • What tools and technologies do you use for data retrieval and why? (medium)
  • How do you stay updated with the latest trends and developments in data retrieval? (basic)
  • Can you explain the concept of data deduplication in the context of retrieval? (advanced)
  • How do you handle large volumes of data during the retrieval process? (medium)
  • What role does metadata play in data retrieval and how do you manage it effectively? (medium)
  • Have you ever worked on a project involving natural language processing for data retrieval? If so, can you share your experience? (advanced)
  • How do you prioritize data retrieval tasks when faced with multiple requests and deadlines? (medium)
  • Can you discuss a successful data retrieval project you have worked on and the impact it had on the organization? (medium)
  • What are the key performance indicators you use to measure the effectiveness of data retrieval processes? (medium)
  • How do you ensure data quality and integrity during the retrieval process? (medium)
  • Have you ever had to deal with missing or incomplete data during a retrieval project? If so, how did you handle it? (medium)
  • Can you explain the concept of data indexing and how it is used in retrieval systems? (advanced)
  • How do you handle sensitive information during the data retrieval process to ensure compliance with regulations? (medium)
  • What are the common challenges faced in data retrieval from unstructured sources and how do you address them? (medium)
  • Have you worked with any data retrieval automation tools? If so, can you discuss your experience with them? (medium)
  • How do you ensure data retrieval processes are scalable and efficient as the business grows? (medium)
  • Can you discuss a time when you had to troubleshoot a data retrieval issue and how you resolved it? (medium)
  • How do you collaborate with other teams, such as IT and data analytics, to ensure seamless data retrieval processes? (medium)
  • What are the key factors you consider when designing a data retrieval strategy for a new project? (medium)

Closing Remark

As you explore opportunities in the retrieval job market in India, remember to showcase your skills, knowledge, and expertise confidently during interviews. With the right preparation and a positive attitude, you can land a rewarding career in this dynamic field. Good luck!

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