1433 Annotation Jobs - Page 4

SUMMARY The Computational Linguistics Expert will play a pivotal role in advancing Bhashini’s mission to bridge linguistic barriers across India. This role involves developing and refining AI-driven language technologies, collaborating with diverse stakeholders, and contributing to the creation of multilingual digital solutions. The ideal candidate will possess a deep understanding of computational linguistics, natural language processing (NLP), and the unique challenges associated with Indian languages. Location- Delhi 1 Year Contractual Role ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems and develop practical AI solutions to tackle these issues to make a substantial positive impact. We have over 30 AI projects supported by leading philanthropies such as the Bill & Melinda Gates Foundation, USAID, and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design, and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ABOUT BHASHINI Bhashini, an initiative under the National Language Translation Mission by MeitY, aims to make digital services accessible in local languages using AI and NLP technologies. By providing translation services for 22 scheduled Indian languages, Bhashini seeks to empower citizens, enhance digital governance, and foster social inclusion. The platform encompasses a comprehensive framework, including a data repository, a model repository, and the Universal Language Contribution API (ULCA), facilitating the development of AI technologies such as machine translation, automatic speech recognition (ASR), text-to-speech (TTS), and optical character recognition (OCR) across various Indian languages. ROLES AND RESPONSIBILITIES Language Technology Development: Design, develop, and optimize NLP models tailored for Indian languages, focusing on tasks such as machine translation, ASR, TTS, and OCR and approaches towards fine tuning of the models. Data Annotation and Curation: Lead efforts in collecting, annotating, and curating linguistic data, ensuring high-quality datasets for training and evaluation. Stakeholder Collaboration: Engage with startups, academic institutions, state governments, and line ministries to identify new use cases and drive the adoption of Bhashini’s language technologies. Research and Innovation: Stay abreast of the latest advancements in computational linguistics and AI, integrating cutting-edge techniques into Bhashini’s solutions. Proposal Development: Contribute to the drafting of proposals for new projects and partnerships with donors, multilateral organizations, and other stakeholders. Documentation and Reporting: Prepare comprehensive documentation, including technical reports, research papers, and user manuals, to support the dissemination and adoption of developed technologies. REQUIREMENTS Educational Background: Master’s or Ph.D. in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field. Experience: Minimum of 6 years of experience in NLP, with a focus on Indian languages and multilingual systems. Technical Skills: Proficiency in programming languages such as Python, familiarity with NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face), and experience with large language models. Linguistic Expertise: Deep understanding of the linguistic nuances of Indian languages, including syntax, semantics, and phonetics. Project Management: Demonstrated ability to manage projects, coordinate with diverse stakeholders, and deliver results within stipulated timelines. Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences. DESIRABLE QUALIFICATIONS Experience with crowdsourcing platforms and initiatives, such as Bhasha Daan. Familiarity with the challenges of low-resource languages and strategies to address them. Prior involvement in government or public sector projects related to language technology. Publications in reputed journals or conferences in the field of computational linguistics or NLP. We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

Project description We are looking for a skilled Document AI / NLP Engineer to develop intelligent systems that extract meaningful data from documents such as PDFs, scanned images, and forms. In this role, you will build document processing pipelines using OCR and NLP technologies, fine-tune ML models for tasks like entity extraction and classification, and integrate those solutions into scalable cloud-based applications. You will collaborate with cross-functional teams to deliver high-performance, production-ready pipelines and stay up to date with advancements in the document understanding and machine learning space. Responsibilities Design, build, and optimize document parsing pipelines using tools like Amazon Textract, Azure Form Recognizer, or Google Document AI. Perform data preprocessing, labeling, and annotation for training machine learning and NLP models. Fine-tune or train models for tasks such as Named Entity Recognition (NER), text classification, and layout understanding using PyTorch, TensorFlow, or HuggingFace Transformers. Integrate document intelligence capabilities into larger workflows and applications using REST APIs, microservices, and cloud components (e.g., AWS Lambda, S3, SageMaker). Evaluate model and OCR accuracy, applying post-processing techniques or heuristics to improve precision and recall. Collaborate with data engineers, DevOps, and product teams to ensure solutions are robust, scalable, and meet business KPIs. Monitor, debug, and continuously enhance deployed document AI solutions. Maintain up-to-date knowledge of industry trends in OCR, Document AI, NLP, and machine learning. Skills Must have 4-5 years of hands-on experience in machine learning, document AI, or NLP-focused roles. Strong expertise in OCR tools and frameworks, especially Amazon Textract, Azure Form Recognizer, Google Document AI, or open-source tools like Tesseract, LayoutLM, or PaddleOCR. Solid programming skills in Python and familiarity with ML/NLP libraries: scikit-learn, spaCy, transformers, PyTorch, TensorFlow, etc. Experience working with structured and unstructured data formats, including PDF, images, JSON, and XML. Hands-on experience with REST APIs, microservices, and integrating ML models into production pipelines. Working knowledge of cloud platforms, especially AWS (S3, Lambda, SageMaker) or their equivalents. Understanding of NLP techniques such as NER, text classification, and language modeling. Strong debugging, problem-solving, and analytical skills. Clear verbal and written communication skills for technical and cross-functional collaboration. Nice to have N/A Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-116250 AI/ML BCM Industry 29/07/2025 Req. VR-116250

Job description Company Description Apexon is a digital-first technology services firm, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences . Role Description This is for Trainee Associate role at Apexon, Ahmedabad. The Trainee Associate will be responsible for performing data annotation, auditing & providing insights to support improving accuracy. The role also includes generating reports, identifying areas for improvement and collaborating with cross-functional teams. Qualification: Any UG/PG graduate (2019 to 2025 Passed Out) Eligibility: Non-Engineer Degree only Skills Required: Basic Computer Knowledge, Strong Analytical Thinking, and Problem-Solving Skills Experience: 0–6 months Preferred Location: Ahmedabad Mode of Work: Work From Office Joining Preference: Immediate Joiners Mode of Interview: Face to Face Job Type: Full-time Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹12,000.00 per month Work Location: In person

Education Preference- Only B.tech CS/IT Graduate from the batch of 2026/2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full time, In office Internship Contract length: 3 months

Microsoft Risk, Trust and Safety Operations (RTS & AIRCO) ensures the business ecosystem of processes, organizations and systems effectively enable Microsoft and 3rd Parties to conduct business in a compliant and ethical manner. We protect Microsoft and enable strategic growth through proactive business engagement, identification, and mitigation of risk. Are you passionate about machine learning and AI technology? Do you want to work on projects that make a positive impact on people's lives, such as AI assistance, meeting captioning, and content moderation? Do you want to be part of a diverse and collaborative team that values innovation and excellence? If you answered yes to any of these questions, are you interested in joining the AI Operations Team at Microsoft? Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Work with cross-functional (e.g., organizational, product, business) stakeholders (e.g., Engineering, Marketing) to design programs/projects from initiation to delivery. Learns to produce collateral (e.g., proposals, strategy walking deck, internal and external pitch content) to incorporate stakeholder needs and ensure the business objectives are met. Learn how to track the success criteria and performance metrics such as quality, throughput, and SLA Metrics. Cooperates with project leads to define and execute landing and communication plans, such as the target audience(s) and communication strategy. Maintains the rhythm of business (ROB) during plan execution to ensure global alignment. Works across teams and centers to ensure all projects/initiative requirements are understood and can be met. Learns to convert stakeholders to gain buy in. Leverages data and performance metrics (e.g., Objectives and Key Results [OKRs] and Key Performance Indicators [KPIs]) to demonstrate the value of the projects and show business impact under close guidance from senior team members. Adapts communication style and storytelling strategy according to audience and business needs. Understands and follows ethics and privacy policies when collecting and preparing guidelines or contributing to development of the guidelines. Adheres to Microsoft's privacy policy related to utilizing and working with data. Identifies data integrity problems. Maintains high standard of data protection and security, follows standardized processes to prevent any information leakage or breach that could compromise the quality and reliability of products and services and minimizes exposure to risk. Demonstrates personal ownership through following S&P guidelines, immediately reporting incidents using the appropriate channels, and completes all security training. Applies policies and procedures under oversight from managers and peers to meet business needs. May interpret the information to protect Microsoft and customers and move the business forward. Discovers non-conformance and escalates to management. Change Management: The role will manage the change process, including planning, communication, and implementation of changes. This will involve working closely with various teams to ensure smooth transitions and minimal disruption to operations. Training and Support: The role will provide training and support for teams to understand and adhere to the guidelines and work instructions. This will include organizing workshops, creating training materials, and offering one-on-one support as needed. Monitoring and Evaluation: The role will monitor compliance with the guidelines and evaluate the effectiveness of change management initiatives. This will involve regular audits, feedback collection, and performance assessments to identify areas for improvement. Collaboration and Coordination: The role will act as a liaison between different teams, ensuring guidelines and changes are communicated effectively and issues are addressed promptly. Recognize data trends and understand policy implementation. Participate in and drive continuous improvement in processes, guidelines, procedures, policy, and tooling. Familiarizes self with guidelines to identify quality problems, and/or discover insights into the data. Develops advanced understanding of guidelines and identifies gaps and when they should be used. Identifies internal opportunities to develop new projects and improve current ones. Identifies root problems (e.g., root-cause analysis), define the project strategy, gather requirements, identify needs, create the project plan and targets, and work across teams to align on the plan. Considerations: This role may come across offensive and mature material. Qualifications Required Qualifications; Bachelor's Degree in Business, Operations, Finance or related field AND 4+ years work experience in program management, process management, process improvement Operations, Finance or related field AND 4+ years work experience in program management, process management, process improvement OR equivalent experience 2+ years experience in program and process improvement. Preferred Qualifications (PQs) 2+ years experience formal/direct people management or informal project/team leadership. Bachelor's Degree in Communication, Media, Behavioral Psychology, Criminal Justice, Linguistics, Education, Business, or related field, AND 8+ years relevant experience in work requiring privacy, discretion, and/or exposure to sensitive situations or content (e.g., digital safety, content review, the use and creation of content moderation tools, data annotation, paralegal, social work, law enforcement) OR High School Diploma (or local equivalent), AND 10+ years relevant experience in work requiring privacy, discretion, and/or exposure to sensitive situations or content (e.g., digital safety, content review, the use and creation of content moderation tools, data annotation, paralegal, social work, law enforcement) OR equivalent experience. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skill required: Marketing Operations - Digital Asset Management (DAM) Designation: Creative Production Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets What are we looking for? Partners with marketing, ecommerce, creative, and brand leads to ensure content consistency across regions and channels. Participates in client governance, performance reviews, and optimization discussions. Identifies operational bottlenecks and recommends automation or process improvements. Ensures compliance with client policies, legal usage rights, and archival rules. 8+ years of experience in content operations or digital asset management, with at least 2–3 years in a lead or supervisory role. Hands-on experience with enterprise DAM platforms (e.g., Adobe AEM Assets, Aprimo, Bynder, Widen, Webdam, or Tenovos). Strong understanding of metadata frameworks, asset tagging, taxonomy, content governance, and digital rights management. Familiarity with creative workflows and formats (e.g., PSD, AI, INDD, JPG, MP4, PDF). Experience working with PIM systems, syndication tools, or CMS platforms is a plus. Excellent project management, stakeholder engagement, and reporting skills. Ability to manage high-volume global operations while ensuring attention to detail and SLA adherence. Roles and Responsibilities: Lead the operational management of enterprise DAM platforms (e.g., Adobe AEM, Bynder, Aprimo, Webdam, Tenovos, etc.). Manage the lifecycle of digital assets – including uploading, version control, tagging, archival, rights management, and expiry. Define and maintain taxonomy, metadata schemas, tagging standards, and asset classification frameworks. Collaborate with content creators, creative teams, and marketing stakeholders to ensure accurate ingestion and retrieval of assets. Implement governance protocols and usage policies across regions, business units, and channels. Track asset usage metrics, audit logs, and KPIs to ensure content hygiene, compliance, and discoverability. Drive integration between DAM and connected systems such as PIM, CMS, syndication tools, and creative workflows. Manage and mentor a team of librarians, providing guidance on processes, performance, and workload prioritization. Coordinate with IT, automation, and transformation teams for system upgrades, automation opportunities, and new feature rollouts. Provide training to internal teams and external users on DAM best practices and system use.

Skill required: Marketing Operations - Digital Asset Management (DAM) Designation: Creative Production Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets What are we looking for? Strong understanding of client KPIs and ability to align delivery metrics with business impact. Trusted advisor to clients in addressing operational challenges, process bottlenecks, or escalations. Drives stakeholder confidence through proactive communication, structured problem-solving, and timely execution. Experience leading QBRs, MBRs, and developing strategic improvement plans for long-term partnership success. 7–10 years of experience in project/program management, with at least 2+ years in a leadership or client-facing role. Proven expertise in creative, content, digital marketing, or syndication delivery models. Strong knowledge of project management tools (Workfront, JIRA, MS Project, Smartsheet). Excellent communication, presentation, and negotiation skills. Ability to manage cross-functional and remote teams across onshore-offshore delivery models. Demonstrated experience in data-driven governance, risk management, and continuous improvement. Roles and Responsibilities: Lead the delivery of end-to-end projects across creative, marketing, content syndication, or digital transformation engagements. Drive governance planning, stakeholder alignment, and reporting structures across global client teams. Manage project scope, risk, resourcing, timelines, change controls, and quality standards. Act as the primary escalation point and senior delivery interface for client stakeholders. Lead weekly/monthly governance calls, provide business reviews, and ensure proactive risk mitigation. Ensure SLA/KPI tracking and delivery metrics such as TAT, utilization, on-time delivery, quality scores, and productivity targets. Enable talent development through coaching, performance reviews, and building high-performing teams. Partner with automation and process excellence teams to identify optimization and innovation opportunities. Create executive dashboards and business performance updates for leadership reviews.

Skill required: Marketing Operations - Digital Asset Management (DAM) Designation: Creative Production Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets What are we looking for? Partners with marketing, ecommerce, creative, and brand leads to ensure content consistency across regions and channels. Participates in client governance, performance reviews, and optimization discussions. Identifies operational bottlenecks and recommends automation or process improvements. Ensures compliance with client policies, legal usage rights, and archival rules. 8+ years of experience in content operations or digital asset management, with at least 2–3 years in a lead or supervisory role. Hands-on experience with enterprise DAM platforms (e.g., Adobe AEM Assets, Aprimo, Bynder, Widen, Webdam, or Tenovos). Strong understanding of metadata frameworks, asset tagging, taxonomy, content governance, and digital rights management. Familiarity with creative workflows and formats (e.g., PSD, AI, INDD, JPG, MP4, PDF). Experience working with PIM systems, syndication tools, or CMS platforms is a plus. Excellent project management, stakeholder engagement, and reporting skills. Ability to manage high-volume global operations while ensuring attention to detail and SLA adherence. Roles and Responsibilities: Lead the operational management of enterprise DAM platforms (e.g., Adobe AEM, Bynder, Aprimo, Webdam, Tenovos, etc.). Manage the lifecycle of digital assets – including uploading, version control, tagging, archival, rights management, and expiry. Define and maintain taxonomy, metadata schemas, tagging standards, and asset classification frameworks. Collaborate with content creators, creative teams, and marketing stakeholders to ensure accurate ingestion and retrieval of assets. Implement governance protocols and usage policies across regions, business units, and channels. Track asset usage metrics, audit logs, and KPIs to ensure content hygiene, compliance, and discoverability. Drive integration between DAM and connected systems such as PIM, CMS, syndication tools, and creative workflows. Manage and mentor a team of librarians, providing guidance on processes, performance, and workload prioritization. Coordinate with IT, automation, and transformation teams for system upgrades, automation opportunities, and new feature rollouts. Provide training to internal teams and external users on DAM best practices and system use.

Job Title: AI Data Annotation Employment Type : Full-Time | Entry-Intermediate Level Domain : Artificial Intelligence | Machine Learning | Data Annotation Languages: French German Spanish Polish Finnish Arabic Hebrew Turkish About the Role Step into the future of work with us! We’re hiring AI Data Operations Associates — fresh graduates who are eager to start their careers in the fast-growing field of AI. In this role, you'll contribute to training the next generation of intelligent systems by labeling and curating high-quality data. Key Responsibilities Annotate, label, and tag various types of data (text, image, audio, video) following project guidelines. Ensure accuracy, consistency, and attention to detail in annotation tasks. Collaborate with team leads and QA specialists to deliver high-quality datasets. Meet daily productivity and quality benchmarks. Provide insights and feedback to enhance internal tools and processes. Eligibility Criteria Education : Minimum Bachelor’s Degree (any stream). No prior work experience required – fresh graduates are encouraged to apply . Proficiency in reading and writing English . Tech-savvy and comfortable working with digital tools and web-based platforms. Strong attention to detail, patience, and problem-solving mindset. What We Offer Comprehensive training on tools, annotation methods, and AI workflows. PAN India roles with remote-first flexibility . Clear growth paths into QA, project coordination, and AI operations roles. Be part of global AI projects and work with cutting-edge datasets. Collaborative, inclusive, and future-focused work culture.

Role: Process Associate Location: Cantonment & K.K.Nagar,Trichy Mode: Fulltime Experience: 0 to 1+ Years (Freshers can also apply for this Job) Job Description: · Bachelor’s degree or equivalent · Excellent Communication Skills · System Handling Responsibilities: · Will work as a Data Annotator with our Axximum team · This process known as Text Annotation, Data annotation, involves labeling the objects in the scene, such as cars, pedestrians, and traffic signs. · Annotation heavily relies on machine learning models to provide real-time interpretations of point cloud data. · Image, Video, and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. · Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. · Should have good communication skills in English with MS office Knowledge. Thanks & Regards Irfaan Basha A Executive Human Resource Axximum.Inc Ph.no: +91 9442800761 / +91 9843342426 Email: hr@axximum.in Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹12,000.00 per month Schedule: Night shift Rotational shift US shift Ability to commute/relocate: Trichy, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Location: Trichy, Tamil Nadu (Required) Work Location: In person

Business Program Manager Bangalore, Karnataka, India Date posted Jul 29, 2025 Job number 1849293 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Business Operations Discipline Business Program Management Employment type Full-Time Overview Microsoft Risk, Trust and Safety Operations (RTS & AIRCO) ensures the business ecosystem of processes, organizations and systems effectively enable Microsoft and 3rd Parties to conduct business in a compliant and ethical manner. We protect Microsoft and enable strategic growth through proactive business engagement, identification, and mitigation of risk. Are you passionate about machine learning and AI technology? Do you want to work on projects that make a positive impact on people's lives, such as AI assistance, meeting captioning, and content moderation? Do you want to be part of a diverse and collaborative team that values innovation and excellence? If you answered yes to any of these questions, are you interested in joining the AI Operations Team at Microsoft? Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications; Bachelor's Degree in Business, Operations, Finance or related field AND 4+ years work experience in program management, process management, process improvement Operations, Finance or related field AND 4+ years work experience in program management, process management, process improvement OR equivalent experience 2+ years experience in program and process improvement. Preferred Qualifications (PQs) 2+ years experience formal/direct people management or informal project/team leadership. Bachelor's Degree in Communication, Media, Behavioral Psychology, Criminal Justice, Linguistics, Education, Business, or related field, AND 8+ years relevant experience in work requiring privacy, discretion, and/or exposure to sensitive situations or content (e.g., digital safety, content review, the use and creation of content moderation tools, data annotation, paralegal, social work, law enforcement) OR High School Diploma (or local equivalent), AND 10+ years relevant experience in work requiring privacy, discretion, and/or exposure to sensitive situations or content (e.g., digital safety, content review, the use and creation of content moderation tools, data annotation, paralegal, social work, law enforcement) OR equivalent experience. Responsibilities Work with cross-functional (e.g., organizational, product, business) stakeholders (e.g., Engineering, Marketing) to design programs/projects from initiation to delivery. Learns to produce collateral (e.g., proposals, strategy walking deck, internal and external pitch content) to incorporate stakeholder needs and ensure the business objectives are met. Learn how to track the success criteria and performance metrics such as quality, throughput, and SLA Metrics. Cooperates with project leads to define and execute landing and communication plans, such as the target audience(s) and communication strategy. Maintains the rhythm of business (ROB) during plan execution to ensure global alignment. Works across teams and centers to ensure all projects/initiative requirements are understood and can be met. Learns to convert stakeholders to gain buy in. Leverages data and performance metrics (e.g., Objectives and Key Results [OKRs] and Key Performance Indicators [KPIs]) to demonstrate the value of the projects and show business impact under close guidance from senior team members. Adapts communication style and storytelling strategy according to audience and business needs. Understands and follows ethics and privacy policies when collecting and preparing guidelines or contributing to development of the guidelines. Adheres to Microsoft's privacy policy related to utilizing and working with data. Identifies data integrity problems. Maintains high standard of data protection and security, follows standardized processes to prevent any information leakage or breach that could compromise the quality and reliability of products and services and minimizes exposure to risk. Demonstrates personal ownership through following S&P guidelines, immediately reporting incidents using the appropriate channels, and completes all security training. Applies policies and procedures under oversight from managers and peers to meet business needs. May interpret the information to protect Microsoft and customers and move the business forward. Discovers non-conformance and escalates to management. Change Management: The role will manage the change process, including planning, communication, and implementation of changes. This will involve working closely with various teams to ensure smooth transitions and minimal disruption to operations. Training and Support: The role will provide training and support for teams to understand and adhere to the guidelines and work instructions. This will include organizing workshops, creating training materials, and offering one-on-one support as needed. Monitoring and Evaluation: The role will monitor compliance with the guidelines and evaluate the effectiveness of change management initiatives. This will involve regular audits, feedback collection, and performance assessments to identify areas for improvement. Collaboration and Coordination: The role will act as a liaison between different teams, ensuring guidelines and changes are communicated effectively and issues are addressed promptly. Recognize data trends and understand policy implementation. Participate in and drive continuous improvement in processes, guidelines, procedures, policy, and tooling. Familiarizes self with guidelines to identify quality problems, and/or discover insights into the data. Develops advanced understanding of guidelines and identifies gaps and when they should be used. Identifies internal opportunities to develop new projects and improve current ones. Identifies root problems (e.g., root-cause analysis), define the project strategy, gather requirements, identify needs, create the project plan and targets, and work across teams to align on the plan. Considerations: This role may come across offensive and mature material. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

As a Civil Engineer/B.Arch professional with 1 to 3 years of experience, you will be responsible for developing highly accurate 3D BIM models for projects of varying sizes and complexities. Your role will involve generating plans, sections, elevations, and detailed production drawings from 3D BIM models, ensuring they meet design standards and practices. You will also be required to annotate, dimension, and detail production drawings clearly. Furthermore, you will set up and geo-locate multiple models for individual projects, create 3D views or renderings for marketing or project purposes, and utilize advanced tools such as Civil 3D, Navisworks, and Infraworks for multidisciplinary project collaboration within a BIM environment. Your responsibilities will include coordinating with clients to align BIM modeling content and approaches, managing model exchanges, ensuring quality control, and overseeing delivery. Experience in working on offshore projects, including those in Australia, the US, and the UK, will be advantageous. You will also contribute to the continuous development of BIM best practices, prepare and review general arrangement drawings, 3D models in Revit, material take-offs, and adhere to the BIM execution plan and project workflow criteria. Proficiency in AutoCAD, Revit, Civil 3D, and understanding of BIM standards for 3D modeling, layouts, labeling, dimensioning, sheet layout, design details, and other design concepts are essential. You should be able to read and interpret 2D and 3D BIM drawings and models to assist in solving engineering problems, possess knowledge of Levels of Development (LOD) 100 to 350, and work effectively as part of a design team focused on project delivery. Strong written and verbal communication skills are crucial for effectively communicating client requirements and methodologies. This is a full-time position with a day shift schedule, requiring in-person work at the Ahmedabad location.,

At SpicyChat, we’re on a mission to build the best uncensored roleplaying agent in the world , and we’re looking for a passionate Data Scientist to join our team. Whether you’re early in your data science career or growing into a mid-senior role, this is a unique opportunity to work hands-on with state-of-the-art LLMs in a fast-paced, supportive environment. Role Overview We’re looking for a Data Scientist (Junior to Mid-Senior level) who will support our LLM projects across the full data pipeline—from building clean datasets and dashboards to fine-tuning models and supporting cross-functional collaboration. You’ll work closely with ML engineers, product teams, and data annotation teams to bring AI solutions to life. What You’ll Be Doing ETL and Data Pipeline Development: Design and implement data extraction, transformation, and loading (ETL) pipelines. Work with structured and unstructured data from various sources. Data Preparation: Clean, label, and organize datasets for training and evaluating LLMs. Collaborate with annotation teams to ensure high data quality. Model Fine-Tuning & Evaluation: Support the fine-tuning of LLMs for specific use cases. Assist in model evaluation, prompt engineering, and error analysis. Dashboarding & Reporting: Create and maintain internal dashboards to track data quality, model performance, and annotation progress. Automate reporting workflows to help stakeholders stay informed. Team Coordination & Collaboration: Communicate effectively with ML engineers, product managers, and data annotators. Ensure that data science deliverables align with product and business goals. Research & Learning: Stay current with developments in LLMs, fine-tuning techniques, and the AI ecosystem. Share insights with the team and suggest improvements based on new findings. Qualifications Required: 1–4 years of experience in a data science, ML, or analytics role. Proficient in Python and data science libraries (Pandas, NumPy, scikit-learn). Experience with SQL and data visualization tools (e.g., Streamlit, Dash, Tableau, or similar). Familiarity with machine learning workflows and working with large datasets. Strong communication and organizational skills. Bonus Points For: Experience fine-tuning or evaluating large language models (e.g., OpenAI, Hugging Face, LLaMA, Mistral, etc.). Knowledge of prompt engineering or generative AI techniques. Exposure to tools like Weights & Biases, Airflow, or cloud platforms (AWS, GCP, Azure). Previous work with cross-functional or remote teams. Why Join NextDay AI? 🌍 Remote-first: Work from anywhere in the world. ⏰ Flexible hours: Create a schedule that fits your life. 🌴 Unlimited leave: Take the time you need to rest and recharge. 🚀 Hands-on with LLMs: Get practical experience with cutting-edge AI systems. 🤝 Collaborative culture: Join a supportive, ambitious team working on real-world impact. 🌟 Mission-driven: A chance to be part of an exciting mission and an amazing team. Ready to join us in creating the ultimate uncensored roleplaying agent? Send us your resume along with some details on your coolest projects. We’re excited to see what you’ve been working on!

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. MAIN PURPOSE OF JOB As an Operations Specialist, you will play a pivotal role in the day-to-day operations of the company, driving revenue and ensuring that customer commitments are met on time while maintaining the highest quality standards. This position will require a hands-on approach, strategic thinking, and exceptional organizational skills. You will be an early member of our operations team and have the opportunity to shape our most critical operational processes. MAIN DUTIES: Build and drive operational processes to ensure day-to-day delivery of customer commitments. Manage and oversee various aspects of daily operations including inventory, procurement, logistics, billing/invoicing, ticketing, timekeeping, project management, and customer service. Assist Project teams with planning, scoping, requirements gathering and validation with client. Create an effective feedback loop between the front line, product, strategy, and customers. Collaborate with cross-functional teams, including Customer Operations, Product Operations, Data Analytics, HR, Finance, Talent/Procurement, Product Managers, and more to achieve company objectives and KPIs. Conduct periodic audits to ensure compliance with standards and regulations. Provide support in the onboarding and training of new employees. Analyze operational data and metrics to identify areas for improvement. Participate in process optimization projects and come up with creative solutions to bottlenecks. Assist in financial budgeting and reporting. Support multiple squads on rotation asneeded. REQUIREMENTS Advanced English skills. Bachelor’s degree in an analytics-heavy major (e.g., Engineering or Economics) and/or a graduate degree in Operations, Engineering, Economics, or Business. Minimum of 2-4 years of experience in an operations role and/or a top-tier consulting firm. Excellent communication skills, both verbal and written. Strong organizational and multitasking skills. An action-oriented mindset that balances creative problem-solving with the scrappiness to ultimately deliver results. Proficiency in Microsoft Office Suite, with strong Excel skills. Analytical, planning, and process improvement capability. Other relevant skills Experience with reading SQL or demonstrated analytical skills Experience with resource management tools (e.g. Workday) Analytical Thinking Time Management Attention to Detail Team Collaboration Process Improvement Flexibility & Adaptability

About Helium After chasing brokers, navigating fake listings, and being asked for 10-month deposits — most renters settle. Not because they want to, but because the system gives them no real choice. At Helium, we’re rebuilding that system from scratch. We’re creating a platform with gated, high-quality homes, from handpicked, trustworthy homeowners — and where tenants get 100% available listings, anytime visits, and just 1- month deposit, not ten. Where trust isn’t a lucky break, but the default setting. Meanwhile, homeowners get guaranteed rent within 10 days, vetted tenants, and a partner who treats their home like their own. This isn’t just a better rental experience. It’s an ecosystem change — one being built by a team of operators from Zomato, Stanza Living, and CRED, and backed by founders of Blinkit, CRED, Zomato, and Stanza. Role Overview We’re looking for a detail-oriented analyst to join our founding team at Helium. You’ll work directly with the founders to build a first-of-its-kind underwriting and pricing engine, one that can estimate rental value, risk, and time-to-lease for every apartment we consider. You’ll also design intuitive dashboards, structure unorganized data, and bring the visibility needed to scale Helium with confidence. Key Responsibilities • Build Helium’s proprietary pricing and underwriting engine to evaluate apartments for guaranteed rental agreements • Analyze structured and unstructured datasets to uncover trends, predict leasing timelines, and guide pricing decisions • Design, develop, and manage robust BI dashboards and reports for leadership visibility • Collaborate with product, operations, and sales teams to define key metrics and performance benchmarks • Leverage GenAI, NLP, and automation for tasks like data cleaning, annotation, and labelling Requirements • Bachelor's degree in Statistics, Mathematics, Finance, or related quantitative field • 2+ years of experience in data/BI roles, preferably in high-growth startups or techfirst companies • Advanced skills in SQL, Excel, and Google Sheets • Proficiency in BI tools such as Superset, Tableau, or Power BI • Working knowledge of Python and data warehousing concepts • Ability to work independently, communicate clearly, and turn raw data into business insight Technical Skills • SQL & database management • Excel (advanced) & Google Sheets • Python (for data manipulation and automation) • BI Tools: Superset / Tableau / Power BI • ETL pipelines and data warehousing principles Come shape the rental experience India actually deserves

Day-to-day responsibilities include: Annotate and label video content with precise timestamps. Identify key actions, objects, and events within video sequences. Follow specific annotation guidelines and maintain consistency. Ensure high accuracy and quality in all annotations. Work closely with team leads and project managers to meet deadlines. Review and validate annotations to maintain data integrity. Use annotation tools/software to complete tasks efficiently. Duration of Contract minimum is 6 months. Who can apply Can start the immediately Are available for duration of 6 months Have relevant skills and interests Having 1+year experince into data annotation Skill(s) required Data Annotation Image Annotation Video Annotation MS-Excel MS-Word MS-Powerpoint 3D,2D segmentation Good English Writing and verval communication Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹12,000.00 - ₹16,500.00 per month Work Location: In person

Responsibilities: * Collaborate with data science team on model development * Ensure accuracy and consistency in labeling * Meet project deadlines and quality standards * Annotate data using specialized software Shift allowance Over time allowance Health insurance Life insurance Sales incentives Performance bonus Joining bonus Referral bonus Job/soft skill training

Job Description: Annotate CCTA/MRI scans per structured protocols Review and ensure data accuracy for AI/ML use Collaborate with tech and clinical teams Maintain compliance with medical data standards NOTE: Recruiting level III OR LEVEL II CCTA readers or equivalent who are involved in routine CCTA reporting and /or supervising and teaching a CCTA program to work on a project involving AI tool development for CCTAs . Required Candidate profile DM ( Cardiovascular & Interventional Radiology), or Fellow of the Society of Cardiovascular Computed Tomography (FSCCT), or Cardiac Imaging Certification by the Cardiological Society of India (CSI), or Fellowship in Cardiac Imaging (FHRS/FICC/FCSI) (Doctor should be having any one of the above qualifications) Doctor should be comfortable working with digital annotation platforms Work Type: Remote Shift Timing: Night shift Working Days: 5 days per week Remuneration: Hourly basis/work basis (will be discussed during the meeting) Please apply through LinkedIn or email your resume to hr@anolytics.in Regards Team HR

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 300+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Programmer Analyst with strong hands-on experience in EDC platforms such as Medidata RAVE, InForm, Central Designer, or Veeva Studio. The ideal candidate will have a solid understanding of clinical data standards, protocol interpretation, and the ability to build high-quality, compliant EDC databases. You will play a key role in supporting the end-to-end development of clinical databases and ensuring data integrity throughout the trial lifecycle. What you will do eCRF & EDC Development: Interpret clinical trial protocols to design eCRFs and build databases using Medidata RAVE, InForm, Central Designer, or Veeva Studio. Configure systems and implement edit checks, dynamic rules, and custom functions (C# for RAVE) based on DVS. Review & Validation: Conduct technical and functional reviews, support Sponsor Acceptance Testing (SAT), and ensure accuracy across all database components. Amendments & Issue Resolution: Manage protocol amendments, metadata updates, lead ICRM/SAM meetings, and resolve issues in QC, UAT, and production environments. Post-Go-Live & Coordination: Handle migrations, RFCs, and post-go-live activities. Generate sponsor reports (JReview, SAS, BOXI), act as DB Coordinator across trials, and mentor junior team members. Must Have EDC Expertise: 3 to 5 years of hands-on experience with at least one EDC platform — Medidata RAVE, InForm, Central Designer, or Veeva Studio (combination preferred). Strong skills in eCRF design, edit checks, dynamic rules, and custom functions (e.g., C# for RAVE). Clinical & Technical Knowledge: Solid understanding of clinical trial protocols, DVS interpretation, CDPS/SDV strategy, CRF annotation, and post-go-live activities, including migrations and RFCs. Quality & Communication: High attention to detail with strong adherence to ICH GCP and clinical data standards. Excellent written and verbal communication skills for effective team and sponsor collaboration. Educational Background: BE/B.Tech, M.Sc./MCA, or B.Sc./BCA in Computer Science or a related stream. Consistent academic performance with 60% or above in 10th, 12th, and graduation is mandatory.

rProcess seeks an experienced Compliance Analyst for our growing team at Mysore. rProcess is headquartered in Mysuru with 1500+ people across 4 centres delivering services in the area of ML / AI annotation, market research and engineering services. Job Summary: The Compliance Analyst is responsible for ensuring that the organization adheres to regulatory requirements, internal policies, and industry standards. This role involves monitoring processes, conducting audits, identifying risks, and supporting the implementation of corrective actions to maintain legal and ethical integrity. Roles and responsibilities: 1. Develop, implement and maintain the Quality Management System (QMS) in accordance with ISO 9001 standards 2. Develop, implement and maintain the Information Security Management System (ISMS) based on ISO/IEC 27001 3. Develop, implement and maintain the Environmental Management System (EMS) in compliance with ISO 14001 4. Monitor and analyze Quality, information security and environmental objectives/metrics to drive continuous improvement 5. Conduct internal audits and share internal audit reports and drive management reviews 6. Manage correction, corrective and preventive actions for non-conformities 7. Collaborate with teams to document and standardize procedures, work instructions, and forms. 8. Conduct risk assessments and impact analysis to identify security threats and vulnerabilities 9. Define and enforce security controls and policies 10. Coordinate responses to data breaches or security incidents and lead investigations Experience / Skills: - 2+ years of experience working in Risks and Compliance, Quality, information security - In-depth knowledge of ISO 9001, ISO 27001 and ISO 14001 standards - Strong project management and documentation skills - Internal Auditor or Implementer certifications in ISO standards will be value addition - Excellent analytical, problem-solving, and communication abilities - Experience in conducting internal audits and writing non-conformities Apply now and be a part of our growth journey! Email: rajath.billava@rprocess.in Call / whatsapp : 8217389047 For more detail visit www.rprocess.in

Company Description DeepLLMData specializes in providing expert human data to power frontier models. Our services include Coding SFT and RLHF, and our team comprises STEM PhD professionals, mathematicians, and domain-specific experts. We also offer image and video annotation services, as well as image and video data provisioning. Our focus is on delivering high-quality data to enhance model performance and accuracy. Role Description: We are looking for Variety of Reels and Videos for Model training. We will like to work with YouTube Reels Generator/Illustrator to buy the Reels and Videos outright. We are looking to capture Videos with Charcters, emotions of varied nature in varied environment like Sports Ground/ Scenic /Indoors. You tube /Reel generators please apply to have a discussion. Qualifications Video Production and Video Editing skills Communication and Marketing skills Experience with YouTube/Reel platform and its functionalities Ability to work independently and remotely Proficiency in video editing software such as Adobe Premiere Pro or Final Cut Pro Strong creative and storytelling abilities

About the job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The mission of the Shopping Core Foundations Human In the Loop (HITL) team is to build tools and capabilities used across Shopping teams to annotate data for LLM and Shopping ML models. We enable model builders to source the data they need to build, evaluate and improve their models. Key job responsibilities The Shopping Core Foundations team seeks a talented Software Development Engineer to lead our Root Cause Analysis (RCA) initiative. This greenfield project aims to revolutionize how we analyze and improve machine learning models across Search, Rufus/GenAI, and Alexa Shopping. You'll develop a cutting-edge RCA system that transforms issue identification and resolution in our complex systems, directly impacting customer experience. This role requires deep understanding of large-scale systems and ML models, with opportunities to integrate the tool with backend systems and ML models. Based in India, you'll work closely with the tool's primary users, offering a unique chance to observe its application and drive continuous improvements. Your customer obsession will be crucial in enhancing the tool to empower operations teams to generate actionable insights for model and CX improvements. Your work will have far-reaching impact across multiple business lines and new CX developments. You'll simplify complex processes, making them more user-friendly and efficient, contributing significantly to the evolution of our shopping platforms. Join us in building a tool that will be central to our continuous improvement efforts, driving innovation and excellence in our global shopping experiences. A day in the life Contribute to the design and implementation of scalable solutions for data selection, RCA-specific data labeling, analysis, and corrective action stages of the RCA process. Collaborate with cross-functional teams including a large annotation team, shopping domain teams, product managers, and ML scientists to understand their needs and implement effective solutions. Develop and maintain components of the RCA tool, including both frontend and backend systems. Optimize data processing workflows to reduce time and complexity in the RCA process. Write clean, maintainable code and contribute to the team's technical documentation. Participate in code reviews and support continuous improvement of development practices. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with developing user interfaces for data analysis tools. Familiarity with machine learning concepts and their application in data analysis. 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.

Senior AI Research Scientist Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 6–10 years in applied AI/ML research, with multiple publications or patents and demonstrable product impact Apply: careers@darwix.ai Subject Line: Application – Senior AI Research Scientist – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform that powers real‑time conversation intelligence, multilingual coaching, and behavioural analytics for large revenue and service teams. Our products— Transform+ , Sherpa.ai , and Store Intel —integrate speech‑to‑text, LLM‑driven analysis, real‑time nudging, and computer vision to improve performance across BFSI, real estate, retail, and healthcare enterprises such as IndiaMart, Wakefit, Bank Dofar, GIVA, and Sobha. Role Overview The Senior AI Research Scientist will own the end‑to‑end research agenda that advances Darwix AI’s core capabilities in speech, natural‑language understanding, and generative AI. You will design novel algorithms, convert them into deployable prototypes, and collaborate with engineering to ship production‑grade features that directly influence enterprise revenue outcomes. Key ResponsibilitiesResearch Leadership Formulate and drive a 12‑ to 24‑month research roadmap covering multilingual speech recognition, conversation summarisation, LLM prompt optimisation, retrieval‑augmented generation (RAG), and behavioural scoring. Publish internal white papers and, where strategic, peer‑reviewed papers or patents to establish technological leadership. Model Development & Prototyping Design and train advanced models (e.g., Whisper fine‑tunes, Conformer‑RNN hybrids, transformer‑based diarisation, LLM fine‑tuning with LoRA/QLoRA). Build rapid prototypes in PyTorch or TensorFlow; benchmark against latency, accuracy, and compute cost targets relevant to real‑time use cases. Production Transfer Work closely with backend and MLOps teams to convert research code into containerised, scalable inference micro‑services. Define evaluation harnesses (WER, BLEU, ROUGE, accuracy, latency) and automate regression tests before every release. Data Strategy Lead data‑curation efforts: multilingual audio corpora, domain‑specific fine‑tuning datasets, and synthetic data pipelines for low‑resource languages. Establish annotation guidelines, active‑learning loops, and data quality metrics. Cross‑Functional Collaboration Act as the principal technical advisor in customer POCs involving custom language models, domain‑specific ontologies, or privacy‑sensitive deployments. Mentor junior researchers and collaborate with product managers on feasibility assessments and success metrics for AI‑driven features. Required Qualifications 6–10 years of hands‑on research in ASR, NLP, or multimodal AI, including at least three years in a senior or lead capacity. Strong publication record (top conferences such as ACL, INTERSPEECH, NeurIPS, ICLR, EMNLP) or patents showing applied innovation. Expert‑level Python and deep‑learning fluency (PyTorch or TensorFlow); comfort with Hugging Face, OpenAI APIs, and distributed training. Proven experience delivering research outputs into production systems with measurable business impact. Solid grasp of advanced topics: sequence‑to‑sequence modelling, attention mechanisms, LLM alignment, speaker diarisation, vector search, on‑device optimisation. Preferred Qualifications Experience with Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with GPU orchestration, Triton inference servers, TorchServe, or ONNX runtime optimisation. Prior work on enterprise call‑centre datasets, sales enablement analytics, or real‑time speech pipelines. Doctorate (PhD) in Computer Science, Electrical Engineering, or a closely related field from a Tier 1 institution. Success Metrics Reduction of transcription error rate and/or inference latency by agreed percentage targets within 12 months. Successful deployment of at least two novel AI modules into production with adoption across Tier‑1 client accounts. Internal citation and reuse of developed components in other product lines. Peer‑recognised technical leadership through mentoring, documentation, and knowledge sharing. Application Process Send your résumé (and publication list, if separate) to careers@darwix.ai with the subject line indicated above. Optionally, include a one‑page summary of a research project you transitioned from lab to production, detailing the problem, approach, and measured impact. Joining Darwix AI as a Senior AI Research Scientist means shaping the next generation of real‑time, multilingual conversational intelligence for enterprise revenue teams worldwide. If you are passionate about applied research that moves the business needle, we look forward to hearing from you.