1336 Annotation Jobs - Page 44

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AI’s advancement What you will be doingAnnotate Chemistry-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Chemistry Must Required Traits:Strong academic background in Chemistry Experience in Chemistry education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Job Description Job Overview: The Technology Specialist applies their conceptual knowledge of Technology and with a moderate level of guidance and direction from colleagues and leadership, is responsible for solving a range of straightforward Technology problems. They will be responsible for analyzing possible solutions using standard procedures, as well as building knowledge of the company, processes, and customers. The Technology Specialist understands key business drivers and applies this knowledge to solve problems in straightforward situations through analysis of possible solutions using technical experience, judgment, and precedents. Responsibilities Key Tasks and Responsibilities: Strong understanding of fundamentals of industry best processes in managing EDW and similar applications Should be able to understand business requirements and provide expert advice on for EPC projects Developing and maintaining successful relationships with stakeholders and should be able to convince and persuade Work closely with multiple departments / units and demonstrate success in arriving at consensus Provide solution Architecture review, integration design of EDM with other Systems Become a subject matter expert on our business products, processes and operations, and remain up-to-date on industry news Qualifications Essential Qualifications and Education: 7 +Year of administration experience in spooling application like Hexagon Spoolgen, AVEVA Spooler, AVEVA Piping Fabricator or similar applcations Good understanding of piping shop fabrication work process Able to create Piping drawing sheet template according to business requirements Good understanding of Annotation Sheet, options file, line list, backing sheet Identify UDA requirement and able to configure Report configuration e.g. Cut List, MTO, Weld etc Spool sheet configuration User access control Interface with other SmartPlant and Non SmartPlant tools related to work packaging, material tracking, commissioning etc Knowledge on different development tools like Visual Studio, SQL, Git Repository etc Experience on Dabacon, MS-SQL Server, and Oracle databases Experience on Aveva Administration Knowledge on Aveva E3D Development Experience in using Aveva APIs in C# projects and Proficiency in .Net framework Good knowledge on E3D Piping Option Files creation for Piping Isometrics generation in Aveva E3D (Piping &Equipment), Aveva Pipe Fabricator, Spooler or Spoolgen Spooler and Piping Fabricator customization using PML, PML2 and external data transfer Experienced in developing and deploying applications in languages/technologies such as Aveva PML, PML2 C#, .Net Excel, APIs Report Customization of Piping data in E3D using PML and PML2 Hands on experience on Smart Sketch/ACAD SPC/SPF/SPx knowledge Understanding of Technical Support and Administration activities Experience in stakeholders' engagement Excellent communication skills About Us Our ingenuity fuels daily life. Together, we’ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably. For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries. Show more Show less

Description The OPTIMA team is seeking a Training Program Manager. 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 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 Program Manager will be responsible for planning, coordinating and executing training programs for OPTIMA business. The role demands thought clarity, dynamic cross-functional partnership, and strategic thinking. The ideal candidate will be comfortable influencing stakeholders and senior leaders, 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 Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Own New Program launch and New Hire Onboarding, performance enhancement of programs. Handle a direct span of trainers, provides regular coaching and feedback to help grow individual functional skills and leadership capability. Collaborate with both local and global stakeholders to support Training programs and initiatives. Enhance existing training programs, review and supervise the designing of training content for any new process, program and feature/SOP roll out. Basic Qualifications 4+ years of program or project management experience Graduation or Post Graduation in related field. 4+ years of experience working in Training and Learning and Development. Data skills and the ability to understand how learning activities and responsibilities play into the metrics that drive team success. The ability to work in fast-paced ambiguous environments, adapting quickly to changing circumstances, processes and priorities. Demonstrated use of multiple learning methods and linking appropriate methods with learners and outcomes. Ability to influence stakeholders at all levels to understand their role in employee development and help build their skills. Detail-oriented, team-focused, and a quick problem-solver. Full proficiency in MS Office Preferred Qualifications Familiarity with online learning technology (e.g., Articulate Story line). Proven ability to identify opportunities and launch original learning solution(s) with real impact. Experience in Learning Management system and Knowledge management systems. Experience in driving process improvement projects. Experience in requirement gathering and ability to write clear and detailed requirement document 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. Company - ADCI MAA 12 SEZ Job ID: A2938986 Show more Show less

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities Responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 10 to 15 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in new- process onboarding, i.e., new process/ experiments with complete documentation Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Basic Qualifications Graduate degree in any discipline 4-6 years’ work experience with at least 1 year in managing people directly Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback Ability to work cross-functionally and with employees across teams with different skill sets Proven ability to report and analyze data. Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level) Confident to work with large volumes of data Demonstrated ability to initiate and drive process improvements Preferred Qualifications Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau 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. Company - ADCI - Karnataka - A66 Job ID: A2899238 Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Overview The Contextual Metadata Manager oversees the day-to-day workflows/tasks for a team of content conditioners and implements strategy set by senior leadership. This high visibility role impacts cross-functional workflows across the entire global media supply chain. The position works closely with conditioning staff, content stakeholders, vendor support, engineering, and architecture teams on systems development, functional requirements, and enhancements for the Content Annotation Metadata Platform (CAMP) and the enterprise taxonomy management system. They develop and implement best practices and metadata standards for content annotation and are responsible for the evaluation, implementation, and facilitation of technical maintenance for metadata and asset/annotation management systems. This position requires strong technical skills and working knowledge of MAM/DAM systems, current technology and industry trends with an ability to develop and lead projects end to end. Key Responsibilities Project & Stakeholder Management Partner closely with metadata teams and business clients to develop and document operational and stakeholder requirements. Meet regularly with technical teams and vendor support to review ongoing development and issue remediation. Collaborates with cross-functional teams including Ad Sales, Architecture, Engineering, Data Science, and AI/Machine Learning to define problem statements, roadmaps, and execute priorities. Lead systems User Acceptance Testing (UAT) ensuring timely fixes and upgrades with minimal business impact. Create, schedule, and perform systems training sessions and demonstrations for departmental staff and stakeholders. Works closely with departmental Director and business stakeholders to ideate and develop workflow improvements and efficiencies though better systems functionality and new technology implementation (e.g. AI integration). Provide operational & technical leadership and quality control to conditioning team ensuring accuracy, efficiency and the scalability of the conditioning workflows. Work with technical teams to evaluate new systems and technology, making recommendations for future implementation. Develop and implement best practices and metadata standards for content annotation. Standards, Taxonomy, Quality Control Develop and implement best practices and metadata standards for content annotation. Aligning taxonomies in Mondeca Intelligent Taxonomy Management system (ITM) to support present and future content indexing initiatives and AI integrations. Partner with data science teams to implement data quality and governance workflows. Coordinate with various teams to resolve data quality issues and improve version management. Documentation & Reporting Develops, documents and regularly updates departmental and user SOP’s, process One Sheets, training instructions, and makes available via Confluence and shared drives. Gathers, documents and reports on departmental and systems statistics. Creates key performance metrics (KPI’s) for new technology releases. Help with brand representative and project stakeholder meetings to present departmental systems and workflows, building clientele. Work on developing improved operational system functionality and exploring efficiencies. People Management Recognise and develop talent across the team, in support of company goals. Foster a culture of engagement in line with company values. Qualifications Bachelor's degree in a relevant field from an accredited university required. Master's degree in Library and Information Sciences, related field or technical discipline equivalent preferred. 7+ years of experience with enterprise-level media/digital asset management, database management, software administration and metadata & annotation systems Minimum of 3 years of management experience Experience and strong working knowledge of broadcast content metadata and time-based descriptive metadata systems and processes. Experience working with large scale supply chains supporting media/content workflows. Experience in the creation of controlled vocabularies and taxonomies. Experience with large cross-functional, user-facing projects involving third parties and stakeholder management. Strong organizational skills and comfortable working in deadline driven, fast-paced environment. Ability to work independently, work with rapidly changing priorities, and maintain accuracy within strict deadlines. PMP / PMI-ACP Certification / CSPO advantageous How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

PURPOSE OF THE POSITION: As an AI Linguistic Engineer, you will develop linguistic rules, collect and annotate language data, and ensure high-quality inputs for AI models. Responsibilities include data labeling, quality checks, and model evaluation while gaining insights into AI processes like speech recognition and NLP. You'll collaborate closely with the team to optimize models and support related tasks. A) Key Responsibilities : As an AI linguistic Engineer in AI language research and development, and data production related positions, you will participate in the research and development of language rules, data collection, sorting and labeling, etc., to provide high-quality data support for our Machine Learning algorithms and models. You will work closely with our team and be responsible for completing the following main tasks: 1. Participated in the research and development of linguistic rules. 2. Collect, organize, and annotate language data for AI model training and optimization. 3. Focus on the learning and auxiliary formulation of specific link standards in data production; data labeling, quality inspection, model effect evaluation; and training of labeling personnel. 4. Learn to understand AI-related business processes and algorithmic processes, including but not limited to automatic speech recognition , natural language processing, and Text To Speech. 5. Other business related work B) Desired Candidate Profile A) ELIGIBILTY CRITERIA B) SKILLS REQUIRED – 1. Bachelor degree or above, majoring in language or linguistics is preferred. 2. Solid foundation in theoretical linguistics, with a strong interest and passion for linguistic research, and a strong interest in applying linguistic knowledge to the industrial Transsion Holdings, Inc. field. 3. Proficient in the target languages, with good listening, speaking, reading and writing skills, able to accurately understand and express language characteristics. 4. Able to communicate in English for internal communication with team. 5. Proficient in using Product for audio analysis and annotation is preferred. Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. OVERVIEW : The Contextual Metadata Manager oversees the day-to-day workflows/tasks for a team of content conditioners and implements strategy set by senior leadership. This high visibility role impacts cross-functional workflows across the entire global media supply chain. The position works closely with conditioning staff, content stakeholders, vendor support, engineering, and architecture teams on systems development, functional requirements, and enhancements for the Content Annotation Metadata Platform (CAMP) and the enterprise taxonomy management system. They develop and implement best practices and metadata standards for content annotation and are responsible for the evaluation, implementation, and facilitation of technical maintenance for metadata and asset/annotation management systems. This position requires strong technical skills and working knowledge of MAM/DAM systems, current technology and industry trends with an ability to develop and lead projects end to end. KEY RESPONSIBILITIES Project & Stakeholder Management Partner closely with metadata teams and business clients to develop and document operational and stakeholder requirements. Meet regularly with technical teams and vendor support to review ongoing development and issue remediation. Collaborates with cross-functional teams including Ad Sales, Architecture, Engineering, Data Science, and AI/Machine Learning to define problem statements, roadmaps, and execute priorities. Lead systems User Acceptance Testing (UAT) ensuring timely fixes and upgrades with minimal business impact. Create, schedule, and perform systems training sessions and demonstrations for departmental staff and stakeholders. Works closely with departmental Director and business stakeholders to ideate and develop workflow improvements and efficiencies though better systems functionality and new technology implementation (e.g. AI integration). Provide operational & technical leadership and quality control to conditioning team ensuring accuracy, efficiency and the scalability of the conditioning workflows. Work with technical teams to evaluate new systems and technology, making recommendations for future implementation. Develop and implement best practices and metadata standards for content annotation. Standards, Taxonomy, Quality Control: Develop and implement best practices and metadata standards for content annotation. Aligning taxonomies in Mondeca Intelligent Taxonomy Management system (ITM) to support present and future content indexing initiatives and AI integrations. Partner with data science teams to implement data quality and governance workflows. Coordinate with various teams to resolve data quality issues and improve version management. Documentation & Reporting: Develops, documents and regularly updates departmental and user SOP’s, process One Sheets, training instructions, and makes available via Confluence and shared drives. Gathers, documents and reports on departmental and systems statistics. Creates key performance metrics (KPI’s) for new technology releases. Help with brand representative and project stakeholder meetings to present departmental systems and workflows, building clientele. Work on developing improved operational system functionality and exploring efficiencies. People Management: Recognise and develop talent across the team, in support of company goals. Foster a culture of engagement in line with company values. QUALIFICATIONS Bachelor's degree in a relevant field from an accredited university required. Master's degree in Library and Information Sciences, related field or technical discipline equivalent preferred. 7+ years of experience with enterprise-level media/digital asset management, database management, software administration and metadata & annotation systems Minimum of 3 years of management experience Experience and strong working knowledge of broadcast content metadata and time-based descriptive metadata systems and processes. Experience working with large scale supply chains supporting media/content workflows. Experience in the creation of controlled vocabularies and taxonomies. Experience with large cross-functional, user-facing projects involving third parties and stakeholder management. Strong organizational skills and comfortable working in deadline driven, fast-paced environment. Ability to work independently, work with rapidly changing priorities, and maintain accuracy within strict deadlines. PMP / PMI-ACP Certification / CSPO advantageous How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Roles & Responsibilities : Annotate and label images accurately based on project requirements Follow detailed guidelines to ensure consistent and high-quality data Work closely with the QA team to correct any errors in annotations Meet daily or weekly annotation targets Job Types: Full-time, Permanent Pay: From ₹12,000.00 per month Schedule: Day shift Application Question(s): Are you a immediate joiner? What is your current location? How many years of Experience do you have in data annotation? Work Location: In person Expected Start Date: 30/05/2025

Roles & Responsibilites Annotate and label images accurately based on project requirements Follow detailed guidelines to ensure consistent and high-quality data Work closely with the QA team to correct any errors in annotations Meet daily or weekly annotation targets Note: Part Time 1st shift - 8.30 AM to 1.30 PM 2nd shift - 2.00 PM to 7.00 PM Kindly apply only if you satisfy the below given concern 1. Chennai Candidates only 2. Immediate Joiner only Qualification Bachelor's Degree from any computer science background Interested can contact to 8015982981 (HR) Job Types: Part-time, Fresher, Internship Contract length: 30 days Pay: Up to ₹2,000.00 per month Expected hours: 25 – 30 per week Schedule: Day shift Monday to Friday Weekend availability Application Question(s): Your Current location? Do you have laptop or can you arrange fo a laptop? When are you planning to start your internship? Work Location: In person Expected Start Date: 30/05/2025

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

JOB DESCRIPTION Job Title: Product Lead- Ad Tech Location: NOIDA VERTICAL: Times Ad Platform DOMAIN: Product Management EXPERIENCE: 9+ years in Product Management (preferably in AdTech, Data, or AI) About Times Internet At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India’s largest digital products company, we have a significant presence across a wide range of categories, including News, Sports, Fintech, and Enterprise solutions. Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these products is crafted to enrich your experiences and bring you closer to your interests and aspirations. As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt. We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and technologies to help people make the most of every day. Join us and take us to the next level! About the Business Unit Colombia is a contextual AI-driven AdTech platform that revolutionizes digital advertising with cutting- edge technology. By utilizing advanced machine learning and AI, Colombia delivers highly targeted and personalized ad experiences, ensuring optimal engagement and performance. Our platform seamlessly integrates with publishers and advertisers, offering robust solutions for display, video, and native advertising. With over 650 million unique users monthly, Colombia leverages data-driven insights to provide unmatched reach and engagement. As part of India’s largest premium content network, we ensure high- quality user interaction and engagement. With over 15 billion recommendations per month & 650 Mn + unique users, we guarantee massive audience reach. Utilizing AI & ML models for lookalike audience creation, bid prediction, and contextual targeting, Colombia enhances campaign effectiveness and user engagement. Our AI-powered user segmentation and article annotation streamline processes, delivering more accurate and relevant user experiences. Experience the future of advertising with Colombia... Job Requirement : Product Ownership: Own and evolve the data layer powering Colombia's AdTech stack AI/ML Use Case Enablement: Define and prioritize product requirements for AI-driven ad serving AdTech Ecosystem Integration: Lead integration with SSPs, DSPs, DMPs, CDPs, and internal/external APIs to enhance audience intelligence and campaign performance. Privacy & Compliance Cross-Functional Leadership: Collaborate with engineering, analytics, sales, and operations teams to execute product roadmaps and GTM strategies. Innovation & Impact: Explore & stay up to date with the latest AI and GenAI capabilities for recommendation engines, predictive audience modeling, and smart creatives. Required Skills & Experience 7+ years of experience in Product Management with a focus on AdTech, MarTech, Data Infrastructure, AI use cases Strong understanding of programmatic advertising, real-time bidding, cookies vs. cookieless targeting, and contextual systems etc. Experience with data pipelines, AI, and machine learning frameworks Proven track record of building scalable platforms or APIs used for audience targeting or campaign optimization Ability to translate complex tech into simple, business-friendly outcomes Strong analytical mindset and familiarity with tools like BigQuery, SQL, GA, etc. Excellent communication and stakeholder management skills Experience working with GenAI, LLMs, or AI Agents in marketing/advertising use cases

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less