1433 Annotation Jobs - Page 2

DESCRIPTION The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. BASIC QUALIFICATIONS 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign High proficiency in using authoring tools (Articulate) and Design/illustration tools, Video and Audio editing, Web design, UX Design or Multimedia. PREFERRED QUALIFICATIONS Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design High proficiency in using authoring tools and Design/illustration tools, Video and Audio editing and other related platforms. End to End management of Learning & content management systems. Ability to understand Web Design basics and tools for any integrations and content hosting requirements. 4+ years’ experience as an instructional designer or any related position, such as Learning Experience Design, Communications, Education, UX Design or Multimedia training solutions. 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.

DESCRIPTION The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities Manage training team across 5 sites. Manage work prioritization and delivery based on business needs. Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. Ensure and drive best practices standardization across all sites. Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). Ensure training results are trackable, sustainable, achieving goal and strategy. BASIC QUALIFICATIONS A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented. Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Detail-oriented, team-focused, and a quick problem-solver. Advanced proficiency in MS Office PREFERRED QUALIFICATIONS Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology 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.

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data 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.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing 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.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Job Reference: MAIN PURPOSE OF JOB: The full-stack software engineer is responsible for developing information systems by studying operations, designing and developing software components, and collaborating with others in a software development team to ensure that solutions are maintainable, scalable, and tested. Note: This role primarily requires strong front-end development experience. Candidates must have solid expertise in front-end technologies. However, knowledge of back-end development is preferable and will be considered an added advantage. MAIN DUTIES The following is a non-exhaustive list of responsibilities and areas of ownership of a Software Engineer: Study information needs, systems flow, data usage, and work processes to formulate solutions Collaborate with Product Management and UX personnel to understand priorities and ensure designs are refined through user testing Document and demonstrate proposed solutions Determine operational feasibility by evaluating analysis, problem definition, requirements, and proposed solutions Implement solutions following the software development lifecycle Update job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations Protect operations by keeping information confidential Accomplish engineering and organization mission by completing work in a timely fashion Support and develop software engineers by providing advice, coaching, and educational opportunities Education Level- Post-secondary degree in Computer Science or equivalent professional experience Experience- Demonstrable professional experience as the technical owner of major components or subsystems through the software development lifecycle Excellent problem-solving skills and attention to detail Proficiency in Node.js and different frameworks such as Express, Typescript Previous professional experience collaborating with business stakeholders Experience shipping code in an agile SDLC Previous experience in performance analysis and benchmarking Able to apply continuous integration, develops, and automated testing concepts Knowledge of multiple frameworks, paradigms, languages, and trends in the relevant domain Other relevant skills Strong understanding of design patterns Experience in JavaScript web development with React.js or Vue.js Knowledge of version control systems, particularly Git Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform Knowledge of asynchronous programming, queuing, cacheing, logging, security, and persistence Practical knowledge of algorithms, big O complexity, and the CAP theorem Able to add value to team discussions, prevent views persuasively with rational justifications, and solve disagreements constructively Able to assess and evaluate 3rd party components and systems Able to solve technical challenges independently

Years of Experience: 3-8 Years Location: Noida Work from Office Job Description The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team. Key Responsibilities Data Cataloging & Management Maintain structured catalogs of video data with consistent labeling and metadata. Organize datasets for efficient access, versioning, and reuse across model development cycles. Tool Development & Automation Build or assist in developing internal tools to automate data handling, quality checks, and reporting. Streamline data pipelines to support rapid model development and testing. Accuracy Computation & Reporting Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc. Generate regular performance reports to support model tuning and validation efforts. Team Collaboration & Coordination Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery. Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management. Qualifications & Required Skills B.Tech Experience in data analysis, preferably in video/image-based domains. Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel. Familiarity with video annotation workflows, dataset versioning, and evaluation techniques. Experience in building or using automation tools for data processing. Ability to manage tasks and mentor junior team members effectively. Good communication and documentation skills.

Job Title: AI/ML Agent Developer Location: All EXL Locations Department: Artificial Intelligence & Data Science Reports To: Director of AI Engineering / Head of Intelligent Automation Position Summary: We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search. Why Join Us: Work at the forefront of AI orchestration and intelligent agents. Collaborate with a high-performing team driving innovation in enterprise AI platforms. Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.

GlobalLogic is looking for motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. In this role, you will be responsible for data labeling and annotation to support the development of AI and machine learning models. Even if you do not have prior experience in data annotation, comprehensive training will be provided. If you possess basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is an excellent opportunity to kickstart or advance your career in the AI/ML industry. As an Associate Analyst at GlobalLogic, you will be expected to have a Bachelor's degree in any discipline, basic computer proficiency, and comfort with MS Office or Google Suite. Strong focus, attention to detail, and the ability to perform repetitive tasks are crucial for this role. You should be a quick learner with a problem-solving mindset, willing to work from the office and open to rotational shifts in a 24/7 work environment. A keen interest in AI, data processing, or machine learning is desirable, along with a high level of reliability, adaptability, and initiative. Your responsibilities will include manually labeling data points such as text, audio, video, and images following clear guidelines and instructions. You will need to ensure accuracy and consistency in annotated data by adhering to predefined quality standards. Strong written and verbal communication skills are essential for understanding and interpreting tasks clearly. Additionally, you will be required to apply reading, writing, and listening skills to interpret and describe different types of content effectively, as well as troubleshoot annotation-related challenges with critical thinking and problem-solving skills. At GlobalLogic, you can expect a culture of caring where people are prioritized, and inclusivity is promoted. Learning and development opportunities are abundant, ensuring continuous growth and skill enhancement. The work you will be involved in is interesting, meaningful, and impactful, allowing you to engage your curiosity and problem-solving skills. Balance and flexibility are encouraged, and GlobalLogic values integrity and trust as fundamental aspects of its organizational culture. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide, driving the digital revolution since 2000. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

GlobalLogic is seeking motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. The role involves data labeling and annotation to support the development of AI and machine learning models. No prior data annotation experience is required as comprehensive training will be provided. If you have basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is a great opportunity to begin or advance your career in the AI/ML industry. Requirements: - Bachelor's degree in any discipline - Basic computer proficiency and comfort with MS Office or Google Suite - Strong focus, attention to detail, and ability to perform repetitive tasks - Quick learner with a problem-solving mindset - Willingness to work from the office (mandatory) - Open to rotational shifts in a 24/7 work environment - A strong interest in AI, data processing, or machine learning - High level of reliability, adaptability, and initiative - Readiness to contribute in a high-volume, quality-driven team environment Job Responsibilities: - Manually label data points including text, audio, video, and images following clear guidelines and instructions - Ensure accuracy and consistency in annotated data by adhering to predefined quality standards - Understand and interpret tasks clearly with strong written and verbal communication skills - Apply reading, writing, and listening skills to interpret and describe different types of content effectively - Perform repetitive tasks with high levels of focus and attention to detail - Troubleshoot annotation-related challenges with critical thinking and problem-solving skills - Work efficiently in a fast-paced environment, managing tight deadlines and large-scale datasets - Be open to assisting with non-personal data collection (e.g., capturing images or audio clips of objects like receipts, books, vehicles, roads, buildings, etc.) - Quickly adapt to new annotation tools or software platforms What GlobalLogic Offers: - Culture of caring: Prioritizing a culture of caring, inclusive culture of acceptance, and belonging - Learning and development: Continuous learning and growth opportunities with various programs and training curricula - Interesting & meaningful work: Engaging projects that matter with opportunities to work on cutting-edge solutions - Balance and flexibility: Importance of work-life balance and flexible work arrangements - High-trust organization: Integrity, trust, and ethical practices at the core of the company's values About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences. Collaborating with forward-thinking companies, GlobalLogic transforms businesses and redefines industries through intelligent products, platforms, and services.,

Job Description Some careers shine brighter than others If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions We are currently seeking an experienced professional to join our team in the role of Senior software Engineer Develops software solutions by studying information needs, conferring with users and various teams, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Prepares and installs solutions by determining and designing system specifications, standards, and programming Sound verbal and written communication to interact with global teams. Good Interpersonal skills Stakeholder management Good knowledge on JIRA and Confluence Requirements To be successful in this role, you should meet the following requirements: Candidate with strong hands-on React, Java, spring boot, Jenkins, Git Hub, Maven Good analytical and problem-solving skills. Skills in trouble shooting Applications deployed on any of the industry standard Front end – React Experience in working in DevOps and Agile model Should have experience of end-to-end Development process, including the BDD based development, write, test and run the scanning tools for the code, build and deploy the same to on prem WAS / WPS and AWS EC2 infra. Strong knowledge on Java / J2EE – especially Servlet and JSP Knowledge on Spring boot based Microservice architecture, well versed to develop, deploy and automate test, restful API (Service API, and Presentation API) Good analytical and problem-solving skills. Good exposure to GIT, pull request and rewire the jenkin job to exeute the pipeline on trigger of Pull request. Should be aware of best practices like, feature branching pull, merge, create annotation and release management skills. A pragmatic approach to delivering modular and extensible code Experience in leading the module/project end to end (Estimation, Planning, Deliveries) Good knowledge on JIRA and Confluence Exposure of Banking domain Knowledge on Cloud / Pivotal Cloud Foundry / AWS Exposure of Banking domain You’ll achieve more when you join HSBC www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website Issued by – HSBC Software Development India

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Company Profile DataNeuron is headquartered in San Francisco with offices in New Delhi and focuses on the development and scaling of AI models. The company offers a data-centric, end-to-end solution for the Annotation, Training, and Management of Machine Learning models and LLMs. With DataNeuron, customers can quickly and easily produce prediction algorithms without writing any code. Our team is made up of an innovative group of data scientists, engineers, and program managers united by a passion for solving challenging problems in NLP at scale. We’re committed to ensuring that our components deliver the quality and performance that our customers expect. About The Role As a Full Stack Engineer (MERN) at DataNeuron, you will play a pivotal role in the design, development, deployment, and maintenance of our cutting-edge applications and their various modules. Located in New Delhi, India, this position offers an exciting opportunity for individuals with 2-4 years of experience to contribute to a dynamic team dedicated to accelerating and scaling the development of AI models. Location - Hybrid (Noida, India) ; Experience - 2 - 4 Years Responsibilities : Spearhead the end-to-end development lifecycle of multiple application modules, showcasing ownership and technical leadership. Collaborate seamlessly with cross-functional tech teams to architect, develop, and maintain our suite of innovative software products. Demonstrate prowess in coding, debugging, and troubleshooting, ensuring the delivery of high-quality solutions. Efficiently manage deadlines and deliverables, exhibiting a results-oriented approach. Foster a proactive mindset for continuous personal and professional growth, stepping out of your comfort zone to embrace challenges. Actively contribute to architectural and design discussions, bringing creative insights to enhance the overall product quality. Cultivate strong communication skills to articulate ideas effectively within the team, contributing to the creation of a product that is a true work of art. Requirements : Proficient command of JavaScript, TypeScript , and Node.js , showcasing an ability to apply these languages effectively in practical solutions Proven hands-on experience with Single Page Application technologies, including React.js, Tailwind css, and zustand , coupled with a strong foundation in unit testing. Proven experience in design and development of complex data intensive systems. Solid understanding and practical application of NoSQL Databases such as MongoDB , DynamoDB, etc. Demonstrated capability to independently design robust products and features, showcasing creativity and problem-solving skills. Hands-on experience with cloud providers, especially AWS , is required. Expertise in deploying applications using Kubernetes and Docker , ensuring seamless integration with the broader tech environment. Proficiency in CI/CD practices and bash scripting, ensuring efficient and automated development workflows. Advanced knowledge of GIT and GITHUB Actions , facilitating collaborative and version controlled development. Familiarity with monitoring tools like Prometheus and expertise in logging tools such as Elastic Stack (ELK) and Loki. Sound understanding of Vnet/Subnet planning and networking, coupled with expertise in VPC Security.

Job Title: Medical Annotation Intern Location : Hyderabad Type : Internship Internship Duration : 3-6 months Job Type: Onsite Department : Research & Development Industry : Health Tech / Digital Health Salary: ₹5,000 – ₹10,000/month (based on qualifications and Knowledge) About Us: At MHN , we're redefining how individuals engage with their health through research-backed, AI-driven tools. Our mission is to personalize preventive health solutions by combining clinical science, behavioral data, and user-centric design. The Role: We're looking for R&D Interns and Research Associates who are passionate about healthcare innovation. This role is ideal for those with a research-oriented mindset and an interest in bridging the gap between science, data, and digital health technology. Key Responsibilities: Health Research & Analysis: Conduct in-depth research on various health parameters and their correlation with lifestyle and behavioral factors, as assigned by management. Stay current with the latest clinical studies, scientific literature, and public health data to support evidence-based development. Insight Generation: Translate complex medical data into clear, actionable insights aimed at improving individual and population health outcomes. Identify trends, risk factors, and preventive strategies based on data analysis and scientific research. Product & Dashboard Integration: Collaborate with the tech and product teams to integrate research findings into MHN’s health templates, AI dashboards, and personalized user interfaces. Ensure all outputs reflect clinical accuracy, relevance, and user applicability. Cross-Functional Collaboration: Work closely with multidisciplinary teams—including the development, product, and design teams—to drive research-backed innovation. Actively contribute to brainstorming sessions, rapid prototyping, and the validation of health solutions to ensure scientific integrity and user-centric design. Team Building & Leadership: Contribute to the foundation of MHN’s R&D division by developing research strategies, creating knowledge repositories, and documenting best practices. Required: Bachelor's or Master's degree in Public Health , Life Sciences , Biomedical Sciences , Medicine , Psychology , or related fields. Strong critical thinking and research synthesis skills. Excellent written and verbal communication, especially simplifying complex ideas. Good to Have: Prior internship or coursework in public health, health tech, or clinical research. Familiarity with data interpretation or tools like Excel, PubMed, or public health dashboards. Interest in digital health, AI, or behavior change science. What We Offer Direct impact on health outcomes through technology. Mentorship from cross-functional teams (product, research, clinical). Fast-paced, learning-focused environment. Flexible work arrangements. Opportunity to transition from intern to full-time (if applicable). After completing the Internship, for Full-Time the CTC will be ₹1.8 LPA – ₹3 LPA Job Type: Internship Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Lakdi ka pul, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you from Medical Background? Work Location: In person

7 - 9 Years 1 Opening Kochi, Trivandrum Role description Role Proficiency: Collect information about cyberattacks and vectors attack groups new vulnerabilities and exploits and new campaigns and trends. Create of threat intelligence reports that communicate the results of the analysis – e.g. sharing information with decision-makers security officials senior corporate officials etc. Create innovative research reports. Mentor junior members of the team as well as assist the Team Lead. Outcomes: Independently monitor cyber security news from the clear deep and dark web on a daily basis. Keep up to date with industry news security threats outside of their network and the intentions of potentially threatening entities. Closely follow the documented process to ensure consistent and repeatable guideline to report about threats (finished intelligence). Ensure documentation included in ThreatConnect/ CDC as predefined / agreed standards. Learn from review process for continuous improvement. Communicate and report appropriately as per defined process. Measures of Outcomes: Case studies and value delivered to CyberProof/ externally (blogs webinars) as well as implementing new research types new analysis tools. Number of threat intelligence finished reports including threat landscape and asset-based intelligence Percent of security incidents opened based on the CTI analyst’s reports. Adherence to process – validation formatting documentation improvement suggestion. Evidence of skill development including training certification etc. Outputs Expected: Collection: Work with OSINT sources. Use WEBINT techniques to collect and enrich intelligence data. Develop and maintain deep web sources. Processing and analysis: Analyse the threat data into a finished report including technical recommendations MITRE ATT&CK mapping and valid IOCs. Reach out to other SOC teams (DFIR TH L2 etc) for validating and enriching your intelligence. Complete documentation including annotation in ThreatConnect / CDC to ensure audit trail as per defined standards and quality requirements. In accordance with the defined process ensure that the defined reports are created and published to stakeholders. Support the team: Assist the team lead in ensuring quality of service across the team. Seek advice from senior members of the team when in doubt. Continuous Learning innovation and optimization : Ensure completion of learning program. Lead ideas that will help innovation and optimization of processes. Continually learn new technology and stay updated on cyber threats. Conduct new types of research and recommend topics for inclusion or upgrade team workflows. Skill Examples: User level skills in use of CDC ThreatConnect Sixgill IntSights VT Premium. Excellent logical problem-solving ability and analytical skills for intelligence processing and analysis Great oral and written communication skills. Ability to conduct presentation of finished intelligence to team members management clients. Ability to create innovative research reports (global trends cross clients collaboration with other teams in the company). Proficiency in data analytics tools – SQL BI reports. Proficiency in Python. Knowledge Examples: Knowledge Examples Understanding of cybersecurity threat landscape. Understanding of enterprise IT Infrastructure including Networks OS Databases Web Applications etc. Experience conducting research in the areas of WEBINT OSINT social media platforms and virtual HUMINT. Experience in gathering dark web intelligence. Training / Certification in Ethical Hacking etc. Additional Comments: Job Description – Threat Intelligence Analyst II - Cyber Security Experience- 12+ years Responsibilities:  Focus on automation of threat hunting exercises, designated threat hunting projects, customer onboarding, build customer relation.  Perform threat hunting on various enterprise assets by exploring and correlating large data sets resulting in timely notifications for customers.  Enable and improve inhouse automation threat hunting projects that use Jupyter notebook, mysticpy etc  Uncover novel attack techniques, monitor and catalogue changes in activity group tradecraft.  Acquire new and leverage existing knowledge of attacker tools, tactics and procedures to improve the security posture of customers.  Effectively engage and collaborate with partners in data science, and threat research to develop and maintain high-fidelity detection rules.  Build or identify hunting tools and automation for use in the discovery of human adversaries  You would be expected to support a 24/7 operation model that sometimes involves working in night shifts.  Deep knowledge of the attacker landscape and rich telemetry from our sensors to perform root- cause analysis and generate custom s, ensuring that customers are well equipped to quickly respond to human adversaries identified in their unique environments.  Skilled hunters harness the power of available telemtry / signals to quickly identify and report the latest human adversary behaviours, drive critical context-rich s, build new tools and automation in support of hunting objectives, and drive innovations for detecting advanced attacker tradecraft.  Build strong cross team relationship with CTI, Detection engineering/UCM, automation, R&D and sales.  Skilled working with extremely large data sets, using tools and scripting languages such as: Excel, SQL, Python, Splunk, and PowerBI. Preferred Qualifications:  Bachelor degree preferred in Computer Science, Computer Engineering, Information Security.  Knowledge of operating system internals, OS security mitigations & understanding of Security challenges in Windows, Linux, Mac, Android & iOS platforms.  Knowledge of kill-chain model, ATT&CK framework, and modern penetration testing techniques.  Experience with reverse engineering, digital forensics (DFIR) or incident response, or machine learning models.  Experience with system administration in a large enterprise environment including Windows and Linux servers and workstations, network administration.  Experience with offensive security including tools such as Metasploit, exploit development, Open Source Intelligence Gathering (OSINT), and designing ways to breach enterprise networks.  Additional advanced technical degrees or cyber security certifications such as CISSP, OSCP, CEH, or GIAC certifications. Skills Soc,Network Security,Cyber Security About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Title: Lead - HR Operations (HRBP Role) Location: Metiabruz , Kolkata ( This position is strictly for the mentioned location) Job Summary: We have an exciting opportunity for a results-driven and detail-oriented HR professional to join our team. The role involves collaborating with stakeholders and employees to support key HR Objectives. The focus will be on HR Operations and Employee Engagement, promoting best practices to enhance the employee experience and operational efficiency. Experience: 5–7 years in HR Operations (HRBP/Employee Relations) Qualification: Graduate (MBA in HR preferred) Key Responsibilities: Onboarding & Documentation: Manage end-to-end documentation and orientation for new joiners. Maintain virtual records in HCM for easy access and compliance. Policy Compliance & Administration: Ensure consistent implementation of HR policies and processes across the department and location. Stay updated with labor compliance requirements as per local laws. Employee Relations & Conflict Resolution: Provide coaching and conflict resolution to employees and stakeholders. Address employee relations issues promptly and fairly. Conduct investigations related to workplace concerns, including harassment, discrimination, and policy violations. HR Data Management: Maintain and update employee records, including personal data, compensation, benefits, attendance, and performance evaluations. Handle termination information and ensure compliance with company policies. Reporting & Analysis: Prepare and present HR reports and data insights to management. Actively participate in the development of policies and procedures. Employee Engagement: Foster a positive working environment that encourages collaboration and engagement. Organize initiatives that enhance team morale and productivity. General HR Support: Provide assistance to other HR functions as needed. Adapt quickly to changing business priorities and multitask effectively. Key Requirements & Skills: Proven experience as an HR Operations Lead or similar role. Strong knowledge of labor laws and regulations. Hands-on experience with Human Resources Information Systems (HRIS). Experience in designing compensation and benefits packages. Ability to develop and implement clear, fair company policies. Excellent analytical and decision-making abilities. Strong team management and communication skills. Ability to handlesensitive situations with tact and discretion. iMerit is a leading AI data solutions company that combines technology, talent, and techniques to deliver high-quality data across computer vision, natural language processing, and content services. With a workforce of over 5,000 employees in the United States, Europe, Bhutan, and India, iMerit collaborates with some of the most innovative companies in the AI and machine learning ecosystems to unlock value within large volumes of unstructured data and fine-tune model outputs. iMerit offers a range of services, including data annotation for images, videos, text, and audio, catering to industries such as autonomous vehicles, healthcare AI, geospatial technology, financial services, commerce, government, and agricultural AI. Our mission is to provide high-quality, tech- enabled data services that leverage human intelligence to power machine learning algorithms while creating positive social change through employment in the digital economy. For more information, visit: www.imerit.net

Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

Requirement Overview: Bachelor's / Master's / Native-level proficiency in the respective language. C1 level proficiency in English . Strong grasp of grammar, syntax, and cultural nuances Experience in content creation, editing, or linguistic annotation (preferred) Ability to follow detailed guidelines and quality standards Scope of Work : Creating training data sets for AI models that will help improve their accuracy, fluency, coherence and/or voice Annotating data to help AI models align with human values Analyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers to refine and iterate data sets Contributing to evolving specifications for AI-model training and data recipes Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities Achieving target KPIs, including daily job count and average handle time per job, within specified data production windows

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders

DESCRIPTION The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS PhD in computer science, machine learning, engineering, or related fields Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Material contributions to the CV/ML/AI field as related to image and video processing 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.

About the Company As a Project Manager within TP.ai Data Services, you will lead the planning, execution, and optimization of high-impact AIML and GenAI projects with a strong emphasis on crowdsourcing and Gig enabled operations. You will oversee global, cross-functional teams supporting initiatives such as data labeling, model evaluation, synthetic data generation, red teaming, and AI safety, all delivered through TP’s rapidly scaling crowdsourcing ecosystem. This role requires a proactive leader with proven experience managing complex, distributed projects and deep familiarity with gig and crowdsourcing workflows. About the Role Lead and manage the end-to-end delivery of AIML and GenAI data projects, including multimodal annotation (text, image, video, audio), model testing, and trust & safety validation. Own the design, setup, and scaling of crowdsourced projects, including contributor onboarding, performance optimization, and SLA compliance. Drive stakeholder alignment across delivery, product, client, and workforce teams, ensuring all parties are coordinated and informed. Maintain project timelines, delivery trackers, issue logs, and reporting dashboards across multiple workstreams and global geographies. Lead weekly project reviews, client updates, and internal reporting to ensure transparent communication and continuous improvement. Analyze project KPIs, contributor throughput, and quality metrics to identify bottlenecks and drive operational excellence. Develop and document scalable SOPs, workflows, and contributor playbooks that promote consistency and gig-readiness. Identify automation and tooling opportunities to streamline high-volume annotation and validation workflows. Support training material creation and rollout for internal teams and crowdsourced contributors. Qualifications Minimum 5 years of project management experience, ideally in consulting, tech operations, digital BPO, or AI data services. Demonstrated experience managing gig economy or crowdsourcing projects (e.g., task routing, community management, contributor QA). Strong project management skills with proficiency in tools like MS Tools, Excel, JIRA, Asana, or Smartsheet. Solid analytical ability and comfort working with performance metrics, dashboards, and workforce data (Excel, Google Sheets; Power BI/Tableau etc). Proven track record of managing global teams across multiple time zones and cultures. Strong communication and stakeholder management skills — able to lead client-facing discussions and cross-functional meetings. Bachelor’s degree required; preferred in Business, Operations, Information Systems, or related field. PMP, Agile, or similar project management certification is a plus. Diversity: Female candidates more preferred. Note : The role will be expected to work in US Time Zone (Eastern) as standard but may be required to change time zones occasionally as projects dictate

Job Type: Full time Role: AI/ML Engineer Location: Hyderabad Experience: 3+ years Capabilities to design and develop as per the requirements ▪ Capabilities in tools to perform data preparation (Open CV, Kibana), Classification (Voxel51, Sklearn), Annotation (V7, Scripts), Power BI ▪ Capabilities to provide resources onshore/offshore modeland bench in case of additional needs Item Services Task – Name and Description B1 Data Categorization – • Analyse video data from all pilot installations to create an organized database categorized by environmental conditions including seasonal variations (summer, winter, fall, spring), lighting conditions (bright daylight, dim light, nighttime), and weather impacts (rain, snow, sunny). • Document specific passenger interaction scenarios that pose challenges to the system, such as multiple passengers entering/exiting simultaneously, passengers carrying large objects, and cases that have triggered door operation issues or road calls. • Create a statistical report analysing the frequency and patterns of different operational scenarios, identifying common patterns and potential system improvement areas B2 Data Annotation – • Perform precise annotations using the V7 tool to mark passenger positions and movements. This includes creating bounding boxes or segmentation masks around passengers, carried objects, and door areas according to provided guidelines. • Conduct thorough quality assurance reviews of annotations completed by team members to ensure consistency and accuracy across the dataset. • Maintain comprehensive log documenting edge cases, unusual scenarios, and situations where standard annotation guidelines may need clarification or modification. B3 Comprehensive Testing - • Execute systematic testing of the current model using new video datasets collected from all pilot installations. Testing should cover various operational conditions and scenarios. • Generate detailed daily performance reports including: • Quantitative metrics: detection accuracy, precision, recall, and F1-scores • Analysis of false positives and negatives for each specific scenario type • System response time measurements for door operation decisions • Performance variation analysis across different installs B4 Issue Analysis – • Create detailed documentation of all detection failures and performance issues, including: • Specific instances of missed passenger detections with timestamps and conditions • Cases of incorrect door timing decisions and their potential causes • Scenarios where system response time exceeded acceptable thresholds • Analyze and document environmental and operational factors affecting model performance, creating a comprehensive issue categorization system • Develop detailed recommendations for model improvements based on observed failure patterns

JOB DESCRIPTION Job summary: The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and work on the collection, annotation and enrichment of data for machine learning models. Our work spans the company’s lines of business, with exceptional opportunities in each. The successful candidate will work on multiple projects and provide data annotation services across a variety of data types including, but not limited to, text, chats, emails and audio. We expect the candidate to understand the business use-case and own the data annotation pipeline to go from the raw data to a reliable, annotated ground truth that can be used by sophisticated machine learning methods for banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Job responsibilities: Work on data labeling tool(s) and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Collaborate with stakeholders including machine learning engineers, data scientists, data engineers and product managers across all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management. Work on engagements from understanding the business objective through the data identification, annotation and validation. Comprehend the subtleties of language used in the financial industry. Conduct research and bring clarity in business definitions and concepts. Annotate the terms, phrases, and data as per the project requirement. Understand and define the relationship among entities. Validate model results from the business perspective and provide feedback for model improvement. Effectively communicate data annotation concepts, process and model results to both technical and business audiences. Break down ML annotation topics in a clear manner Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents and identify relevant keywords and sentiment labels Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Develop key workflows, processes and KPIs to measure annotation performance and assess quality. Become a subject matter expert and trusted advisor to your business partners to create and structure new annotations, labels and sub-labels. Represent data annotation team on multiple internal forums with other stakeholders. Create an effective roadmap and implement best practices of data annotation for production-level machine learning applications. Build rapport and work with stakeholders and understand the business use-case. Collaborate with other members in the team to deliver accurate and relevant data annotations Required qualifications, capabilities, and skills: Masters in a business management (MBA) with finance specialization. 5-7 years of hands-on experience in data collection, analysis or research. Should be able to work both individually and collaboratively in teams, in order to achieve project goals. Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems and interested in data analytics techniques. An understanding of model scoring parameters such as precision, recall and f-score Exposure/working knowledge of prompt engineering Experience in data extraction/collection form financial documents Experience with data annotation, labeling, entity disambiguation and data enrichment. Familiarity with industry standard annotation and labeling methods Exposure to voice translation services and tools Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.