948 Annotation Jobs - Page 38

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 2024 Passed Out) 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: Direct Walk-In Job Type: Full-time Pay: From ₹15,000.00 per month Schedule: Day shift Work Location: In person Speak with the employer +91 7666448844

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FIORI/Gateway architecture Good to have skills : SAP UI5 Development Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the application development process Ensure successful project delivery-Working on development requests/project independently Client facing resource Should connect with Functional/client team and understand the requirements Work on technical design / development and Prepare unit test document Professional & Technical Skills: Must To Have Skills: Proficiency in SAP FIORI/Gateway architecture Good To Have Skills: Experience with SAP UI5 Development Strong understanding of SAP FIORI/Gateway architecture Experience in designing and configuring applications using SAP technologies Knowledge of SAP Fiori UX design principles-Experience in Design, develop, integrate, implement, and test custom SAP UI5 applications that satisfy business needs-Experience in building Custom app development using UI5 , JavaScript , HTML5 , CSS3 and MVC frameworks on SAP BAS.-Expertise in SAP UI5, SAP Fiori , Fiori elements, ODATA, CDS Views, Annotations, SAP BTP Clound Foundry, SAP BAS, GIT-Basic understanding of ABAP RESTful Application Programming Model , good to have-Proficient in gathering requirements, developing Technical Design and delivering innovativesolutions in a timely manner with immense return on investment. Additional Information: The candidate should have a minimum of 5 years of experience in SAP FIORI/Gateway architecture This position is based at our Bengaluru office A 15 years full-time education is required Qualification 15 years full time education

Title: SAP ABAP MDG Software EngineerDuration: 3+ YearsLocation: Remote Software Engineer (SAP)5 years of SAP ABAP Development ExperienceOur functional and technical teams will drive transformation of key Finance processes across Record-to-Report (RTR), Procure-to-Pay (PTP), Order-to-Cash (OTC), Master Data Governance (MDG), Treasury, Tax and FP&A. We will also play a key role in cross-functional work streams like Transformation Management Office (TMO), master data governance, reporting, security, risk, and controls and change management.Job DescriptionAs a Software Engineer (SAP) in the Master Data Governance (MDG) area we expect this developer to participate in project ABAP Build and development activities to support the successful business adoption of the new solution. Requires a strong understanding of master data principles and proven experience designing and delivering high-quality, clean core solutions through technical development to meet overall business requirements.Responsibilities include, but are not limited to:Take over MDG Release 1 post go-live support from Implementation PartnerDesign and implement new MDG Project development for the following:Material MasterBusiness Partner (Customer)Finance Master Data (GL, PC, CC)Manage MDG Incidents and Change Requests in steady state supportReview Functional Specifications from the Functional and Product Teams and ensure they are complete and ready for technical design and developmentProvide work effort estimates work with the workstream leads to update ADO tool for reporting out RICEFW status and datesSuggest alternate technical designs in line with Clean Core best practicesComplete all relevant Technical Specification documentation and support Functional teams during testing and bug-fixingPerform SAP ABAP Development activities in support of the business request to improve or add functionality to the existing SAP landscape specifically HANA/ABAP with an emphasis in Master Data.Perform code reviews based on S/4 HANA coding standardsWork with the functional teams to support testing cycles like Functional Unit Test, Integration Testing and othersTechnical SkillsExperience as a Developer or Sr Developer with minimum of 5 combined years of hands-on SAP MDG development and SAP Fiori in Material, SAP Customer, Supplier, Finance, and custom master data objects.At least 1 implementation/upgrade project and/or 2 support engagements involving master data management solutions using latest SAP MDG tools and technologies.2+ years in BRF+ Framework/Applications for rule-based derivations and validations as well as using Storage Types, Context Data Objects, Rule sets, Rules, Functions, Events, Actions and Expressions.Experience in ABAP / Web Services / Fiori / SAP WorkflowKnowledge in various SAP modules and Integration development working on large-scale SAP S/4 implementation projectProficient with SAP HANA CDS View/OData Service development including usage of SQL and AMDPExperience with S4/HANA migration initiatives and exposure to BTP integration/side-by-side RAP programming model is a plus.Has Participated in GAP analysis and technical design workshops with the functional teamsAbility to complete High Level Technical Design and suggest best practices in line with Clean Core PrinciplesConfirmed ability using BADI’s, BAPI’s, LSMW, ALE, RFC calls, IDOC, BDC, business objects, classes and methods, Adobe Forms, SmartForms, SAPScripts, Data Dictionary, ALVABAP debugging skills, workflow experienceS/4 HANA Development ExperienceKnowledge of OData development using CDS and AMDP, Workflow experience, including support and debuggingKnowledge and awareness of SAP Clean Core principles including use of released API's, in app extensibility options and key user extensibility.Knowledge of 3-Tier extensibility model and SAP RAP (Restful ABAP) and CAP (Cloud Application) Programming ModelsExperience in migrating custom code base from ECC or SOH systems onto a S/4 HANA platform, applying both Technical remediation and Clean Core frameworksImplementation knowledge on Native SQL, ADBC, External View, ABAP Core data Services, AMDP Procedures, Text Search, ALV on HANA.Practical experience in creating custom and enhancing standard CDS view and AMDP class based on business requirement, various available annotation in CDS views.Good knowledge on other new SAP technologies such as Fiori SAPUI5, SAP BTP Integration Suite, SAP Business Application Studio, SAP Build etcOther skillsRelevant SAP technical certification a plusPractical Knowledge of Code Performance Rules and Guidelines for SAP HANADemonstrate excellent verbal and written communication skillsPossess interpersonal skills to engage and collaborate in a team environment.Nice to haveVistex Experience What We Offer· Competitive salary and potential performance-based incentives/commission· A unique opportunity to be a foundational member of a new, growing sales team· A dynamic and collaborative work environment with direct impact on company success If you’re ready to take on this challenge and grow with us, please submit your resume to hr@ektova.com

Bachelor's degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications Speak, write, and read fluently in Spanish 1+ years of proven experience in data annotation and labeling for ML model training and evaluation In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development – all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in Spanish proficiency Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines Maintain high-quality standards for annotated data to optimize model performance Continuously evaluate and improve annotation processes to enhance efficiency and accuracy Strong analytical skills and the ability to deep-dive on complex problems Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Minimum B2 level for Spanish Language Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazon's product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain 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.

Job Title: Senior Machine Learning EngineerLocation: Chennai ,IndiaExperience: 3-7 YearsCompany: Giggso India Pvt. Ltd. About GiggsoGiggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence.We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases.Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements.Optimize machine learning model training and inference times.Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes.Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation.Define and develop ML infrastructure to enhance the efficiency of ML development workflows.Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions.Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions.Thorough understanding of the full ML pipeline, from data collection to inference.Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.Knowledge or experience in MLOps and ModelOps practices.Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.Strong problem-solving skills with the ability to analyze, optimize, and scale models.Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success.Why Join Us?Work on cutting-edge AI/ML technologies and real-world applications..Mentorship and leadership opportunities to grow your career.Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!

Job Description Java Fullstack Developer+Angular Job Location: Chennai, Bangalore, Hyderabad, Pune, Bhubaneswar Educational Qualification: Any Degree Job Description: Experience in Java Fullstack development with expertise in Angular (latest version). Strong understanding of Java Spring Boot framework including its components such as controllers, services, repositories etc. Proficiency in developing REST APIs using Spring Boot's built-in features like @RestController annotation. Experience working on Microservices architecture design principles Skills Required RoleA/SA - Java Fullstack Developer+Angular Industry TypeIT/ Computers - Software Functional AreaIT-Software Required EducationAny Graduates Employment TypeFull Time, Permanent Key Skills JAVAJ2EEANGULAR(LATEST VERSION) SPRINGBOOT MICROSERVICES REST API Other Information Job CodeGO/JC/21405/2025 Recruiter NameMithra D

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Urdu speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Urdu.Intermediate level of English or Spanish.Computer skills at user level.It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation.Attention to detail. Sigma AI does not hire through third parties.

Job Description: Medical Intern (Data Annotation & Clinical Curation) Company: Akrys AI Healthcare Pvt Ltd Location: Karnataka, Andhra Pradesh, Telangana (Remote/On-site options available) Reporting To: Project Manager / Senior Medical Data Scientist Role Summary: Medical Interns at Akrys AI Healthcare will play a critical role in annotating medical data, curating clinical rules, structuring diagnostic flowcharts, standardizing guidelines, and refining phonetic correction. This position is ideal for medical students or recent graduates passionate about clinical informatics, AI-driven diagnostics, and digital health transformation. Key Responsibilities: 1. Annotation of Medical Data: o Accurately annotate clinical notes, patient histories, radiological reports, and lab findings for AI model training. o Ensure data is structured for optimal machine learning efficiency and accuracy. o Collaborate with the Data Science team to identify gaps or inconsistencies in annotated data. 2. Curation of Clinical Rules: o Assist in creating and validating clinical decision support rules based on evidence-based guidelines. o Contribute to the development of automated triggers for early diagnosis and risk stratification. o Map clinical rules to diagnostic criteria for streamlined model training. 3. Critical Question Checklist Development: o Develop structured checklists for differential diagnosis, history-taking, and follow-up recommendations. o Ensure questions are clinically relevant, unambiguous, and follow standard medical protocols. 4. Guidelines Standardization: o Work with SMEs (Subject Matter Experts) to ensure clinical guidelines are current and region-specific. o Support the integration of ICMR, WHO, and CDC guidelines into AI diagnostic pathways. o Regularly update guidelines based on new evidence or clinical feedback. 5. Diagnostic Flowchart Structuring: o Assist in creating intuitive, decision-based flowcharts for various medical conditions. o Map symptoms, investigations, differential diagnoses, and next-step actions clearly. o Validate flowcharts against clinical cases to ensure reliability. 6. Phonetic Correction for MTI (Mother Tongue Interference): o Work with the Speech-to-Text (STT) team to correct phonetic errors commonly found in MTI scenarios. o Create correction libraries for major Indian languages to enhance model accuracy. Qualifications: • MBBS final year students or recent graduates. • Strong understanding of clinical terminology and medical workflows. • Excellent attention to detail and a structured approach to medical data annotation. • Familiarity with medical guidelines (ICMR, WHO) and clinical decision-making. • Good communication skills and ability to work collaboratively in a team. Preferred Skills: • Exposure to digital health platforms or AI-based diagnostic tools. • Knowledge of regional languages for phonetic correction (Hindi, Telugu, Kannada, Tamil). • Experience in clinical research or data annotation is a plus. Benefits: • Hands-on experience with cutting-edge AI-driven healthcare solutions. • Opportunity to work alongside data scientists and medical experts. • Stipend and certification upon successful completion of the internship. Application Process: Interested candidates can send their resume and a brief statement of interest to Sravya@akrys.ai .Shortlisted candidates will be contacted for a virtual interview. Akrys AI Healthcare Pvt Ltd is committed to fostering a diverse and inclusive workplace. We encourage applications from all qualified individuals, including women, minorities, and those with disabilities.

Job Title: Team Leader Video Labeling Location: Ahmedabad Experience: 3–5 years in IT services, with proven hands-on experience in 2D/3D video and LiDAR data annotation (Box, Polygon, Polyline, Semantic Segmentation, etc.), ideally supporting machine learning or autonomous vehicle projects Education: Bachelor’s or Master’s degree Travel: Willingness to travel between Apexon offices, as required Company Description Apexon is a digital-first technology services firm in Coimbatore, 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 . Position Overview Apexon is looking for a proactive and detail-oriented Team Leader – Video Labeling to supervise and guide day-to-day annotation operations for machine learning and AI-focused projects. In this role, you will be responsible for managing a team of annotators and quality checkers, ensuring tasks are executed efficiently, accurately, and on time. A deep understanding of annotation tools, processes, and quality standards is essential. This role is ideal for someone looking to transition from senior operator roles into leadership with a strong technical backbone in annotation workflows. Key Responsibilities Supervise daily execution of annotation tasks including 2D/3D labelling, bounding boxes, polylines, polygons, semantic segmentation, and LiDAR point cloud labelling Distribute workload among team members, monitor progress, and ensure timely task completion in line with project deadlines and SLAs Provide clear instructions, training, and support to annotation staff on guidelines, tools, and task expectations Conduct regular quality checks and collaborate with quality assurance teams to maintain high annotation accuracy Assist in refining annotation guidelines and escalate ambiguities or tool limitations to project managers or tool developers Act as the first point of contact for addressing team-level technical or operational issues Track key metrics like productivity, accuracy, rework, and turnaround time, reporting findings to higher management Coordinate closely with process leads and cross-functional stakeholders to maintain workflow consistency and improve delivery efficiency Stay updated on tool updates, process changes, and best practices related to annotation and machine learning data labelling Required Skills & Qualifications Hands-on experience in leading or mentoring annotation teams working on computer vision or AV datasets Proficient in annotation tools such as CVAT, Kognic, Canvas, Philosys, Playment, GT Studio, Deepan, or similar platforms Solid understanding of image/video data structures, LiDAR datasets and labeling techniques Experience with quality assurance standards and annotation review processes Strong interpersonal and communication skills, with the ability to manage feedback and resolve team issues Good time management skills, with the ability to prioritize and multitask under tight deadlines Working knowledge of Microsoft Office and Google Workspace for reporting and communication Team & People Responsibilities Support onboarding and continuous training of new team members Foster a positive and inclusive team environment focused on collaboration and performance Encourage participation in team-building and engagement activities Report team issues, risks, and improvement ideas to supervisors or project managers Ensure compliance with Apexon’s work standards, ethics, and data security protocols

The MSCI Data Collections team is primarily responsible for collecting and validating Company Data, ESG, Real assets raw input data from publicly available sources. Daily, the team collects data production and coordinates with stakeholders to understand task priorities. They also ensure quality by reviewing data, ensuring it is up-to-date and adheres to MSCI's data collection guidance and methodology. Additionally, the team's drive to innovate and leverage technology leads them to initiate and collaborate on programs related to data quality and process improvements, such as automation, workflow streamlining projects, and building data QA models.Good understanding of numbers (millions, billions, percentages).Proficient in MS Excel (data entry, navigating multiple spreadsheets, using lookup functions).Skilled in using snipping and annotation tools for snapshots.Knowledge of SharePoint Document Library/Teams for file transfer and communication.Ability to navigate company websites, particularly the investor relations section.Experience extracting data from aggregating websites (e.g., SEC.gov, SEDAR, exchanges).Familiar with public company reporting (10-Ks, annual reports, financial statements, interim reports, bond prospectus, corporate governance documents).Knowledge of capital markets, including navigating stock details on exchanges.Understanding of common corporate events and their impact on securities and issuers.Awareness of different types of listings in various countries (USA, Japan, UK, China).Familiarity with data protection and infringement guidelines (knowing permissible websites for data download).Gather and analyze geographic data using various methods and tools.Proficient in geospatial analysis, data visualization, and understanding spatial relationships.Knowledge of capital markets, corporate events, international listings, and data protection guidelines.Analytical approach to data collection, asking questions to understand data, especially when investigation is needed.Detail-oriented with the ability to spot errors and connect the dots regarding assigned tasks.Adequate written and oral communication skills with high proficiency in English, able to converse easily with the team.Willingness and ability to learn new concepts quickly.Ability to follow standard operating procedures (SOPs) and extend them in cases of uncovered exceptions. Would be an asset if (Good to have but not mandatory) Ability to make and defend sound and consistent judgments, showing expertise when needed.Intrinsically motivated to improve personal performance and constantly seek ways to improve the processes they work with. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.Flexible working arrangements, advanced technology, and collaborative workspaces.A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

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 ResumeStep 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!

Selected intern's day-to-day responsibilities include: 1. Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest in images 2. Support researchers in training deep learning models through accurately categorizing content, labeling images, and annotating data 3. Report and document issues faced from data annotation to research team and discuss solutions to improve data 4. Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models 5. Contribute to workflow process improvements Requirements: 1. Preferably with basic computer literacy and information technology experience 2. Comfortable handling of large data sets regularly 3. Ability to work on repetitive tasks efficiently and effectively with minimal errors 4. Excellent communication, analytical, and reasoning skills 5. Possess high motivation with the desire to learn 6. Proactive attitude 7. Strong interest in artificial intelligence and machine learning, especially in deep learning

Looking for performance-oriented individuals Annotators • Daily annotation of records, including all steps involved within the process, from annotation to timeline review. • Ensure production & accuracy targets are met as per client expectation Required Candidate profile • Exp: 06 to 7 • Science (UG/PG) • Utilize the AI tools effectively, so that the process is efficient and effective • Freshers / exp in nursing/ hospital/ annotation environment is an added advantage

Ensure production & accuracy targets are met as per client expectation Daily learning & updating of changes in client protocols Utilize the AI tools effectively & process is efficient & effective Daily annotation records Required Candidate profile Freshers Any experience in nursing/ hospital/ annotation environment is advantage Strong verbal & written communication skill in English Strong Comprehension skills Good analytical

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: About the role As a Staff AI Scientist, you will positively impact customers by utilizing machine learning (ML) applications and will contribute to the organization's success by providing technical guidance, leadership, and expertise in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Deep Learning. Responsibilities Lead and contribute to building ASR and Speech LLM models and associated services Lead and contribute to the building and modification (fine-tuning) of pre-trained enterprise-grade LLMs and multi-modal models Conduct scientific evaluations of NLP/LLM models, innovate new techniques for model validation, evaluation, trust, and safety Apply preference optimization techniques, including reinforcement learning from human feedback (RLHF), to train and fine-tune multi-modal models, ensuring trust and safety in their deployment Engineer LLMs with the ability to seamlessly integrate with other tools and APIs Specify guidelines and design annotation processes for training and evaluation data Collaborate with the data team on data pre-processing, consumption, and automated/manual annotations Collaborate with the product team to define and refine requirements for new features and applications of AI Lead projects independently, providing mentorship and guidance to other team members Work collaboratively in a fast-paced startup environment, cross-functionally with Engineering, Product, Marketing, and Customer Solutions teams Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions; stay up to date with larger trends in the field Published in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, KDD, ICASSP, InterSpeech, CVPR, AAAI etc.) Qualifications & Skills PhD plus 3 years of relevant experience or Master’s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience, or Bachelor’s degree in Computer Science, Engineering or related experience plus a minimum of 6 years of relevant experience Minimum of 4 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR) In-depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow In-depth understanding of Transformers, hands-on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals Expertise in Python programming Hands-on experience in developing production-ready, scalable code Ability to lead projects independently and mentor and guide other team members Knowledge of deployment using environments such as: Docker, AWS, or Kubernetes Location preference: India - Bangalore, India - Chennai Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.