1681 Computer Vision Jobs - Page 17

Roles & Responsibilities : Assist in designing, developing, and deploying machine learning models. Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA). Support in building predictive models and conducting A/B testing. Work with cross-functional teams to understand data requirements and deliver insights. Use tools like Python, TensorFlow, Scikit-learn, Pandas, etc. , for algorithm development. Interpret and communicate model outputs and business insights clearly. Maintain documentation of experiments, models, and results. Stay updated on the latest AI/ML research, tools, and trends.

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Intern - Android in Bengaluru, Karnataka | FOX Careers Job Details OVERVIEW OF THE COMPANY JOB DESCRIPTION FOX Tech is looking for a talented and driven intern with a focus on Video Playback Engineering to join our team. This internship offers an excellent opportunity to learn how video players work and gain hands-on experience building seamless playback experiences for both live and on-demand content. You ll explore streaming protocols and understand adaptive bitrate streaming, and support the development and testing of core player features ABOUT THE ROLE As a Playback Engineering Intern, you will assist in the design, development, and testing of video playback and streaming software solutions. Working alongside experienced engineers, you will contribute to new features and optimizations, helping you expand your technical skills and deepen your understanding of media delivery and player technologies. You re a tech-savvy individual with a passion for video playback and software development. You have a strong desire to learn and grow, eager to contribute, and bring strong problem-solving skills and attention to detail to each project. You re excited to tackle real-world playback challenges and thrive in a collaborative, fast-paced environment. A SNAPSHOT OF YOUR RESPONSIBILITIES Help deliver the best Android video playback experience for both live and VOD streams Write clean, reusable, well documented Kotlin/Java code Contribute improvements to our SDK, sample apps, and internal developer tools Investigate and fix performance, memory, and ANR issues on a wide range of Android devices Grow technically and professionally in a collaborative, inclusive environment WHAT YOU WILL NEED Currently pursuing a B.E./B.Tech. in Computer Science, or related field Coursework or project experience / knowledge in Kotlin or Java (extra points for Android coursework) Strong coding skills Familiarity with modern Android development tools (Android Studio, Gradle, Git) Demonstrated interest in building mobile or media applications (GitHub, Play Store, or class projects) Strong verbal and written communication skills A willingness to learn and adapt in a fast-paced environment NICE TO HAVE, BUT NOT A DEALBREAKER Hands on with ExoPlayer, Media3, or other media frameworks Knowledge of adaptive streaming protocols (HLS, DASH) or video codecs (H.264, HEVC, AV1) JNI/C++ skills for performance critical modules Personal or university projects involving live video, FFmpeg, or computer vision overlays Learn more about Fox Tech at We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

Overall 4-8 years of experienceMinimum 3+ years of hands-on experience on AI technologies (NLP/ASR/Computer vision/)Minimum 2 years of hands-on coding experience in AI Use case developmentProficiency in Python on AI related work is mustExperience on NLP is must need to have good knowledge of RAG, LLMs, transformers, vector database, embeddings etc.Overall knowledge of AI Ecosystem needed to develop AI project IDEs (Jupyter, Anaconda, VSC), Hardware requirements, AI models, Huggingface, Kaagle, Google collabGood understanding of AI/ML concepts is must NLP, Deep learning with Neural networks, Reinforcement learning.Understanding of SDLC processes, configuration management (github), documentationGood communication and interpersonal skills

Responsibilities: * Develop ML models using Python, TensorFlow & PyTorch. * Implement NLP techniques with focus on natural language understanding. * Collaborate with cross-functional teams on CV projects.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning .

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Role & responsibilities Experience: 8 - 14 years Primary Skills: Data Science Secondary Skills: Data Engineering/Data Analytics Overview: The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions. Required Skills: Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting. Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA. Strong understanding of model development lifecycle: from data ingestion to deployment. Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau). Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances. Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment. Good to have: Experience or interest in Computer Vision: object detection, OCR, or visual product search. Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR. Exposure to multi-modal ML systems (combining text, image, and tabular data). Knowledge of API development (FastAPI, Flask) to expose ML models for product use. Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring). Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.

Role: In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models You'll get to work with the latest research in fields like artificial intelligence, computer vision (helping users see” and understand images), and computer graphics (generating images or animations). The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills. We are agnostic to your choice of development environment; however, we need a convincing demonstration that you will be able to self-support in the environment of your preference. Responsibilities include, but not limited to: Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. Apply cutting-edge research in machine learning, computer vision, and computer graphics. Work closely with leadership to understand high-level product vision and customer requirements. Utilize Git for effective source code management. Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell. Qualifications: degree in Computer Science, Engineering, Mathematics, or a related field 3+ years of relevant industry experience in a fast paced, high growth tech environment. Proficiency in Python Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Hands-on experience with Tensor Flow and Keras (or similar frameworks) in developing, training, and deploying deep learning models. Desired Characteristics: Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline. Experience with Git is preferred. A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods. Our development and production environments are Linux and macOS based. Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup. Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

Job Title: AI Prompt Engineer Internship Company: Pranathi Software Services Pvt Ltd Location: Hyderabad, Telangana Employment Type: Internship (Full-time / Part-time) Duration: 3 Months Start Date: Immediate / As per availability About the Role: We are looking for enthusiastic and detail-oriented AI Prompt Engineering Interns with a strong foundation in AI concepts and excellent English communication skills. As an intern, you will work closely with our AI and product teams to develop, test, and refine prompts that optimize the performance of large language models (LLMs) like ChatGPT, GPT-4, and similar tools. This internship offers hands-on experience in one of the most in-demand AI roles in the industry. Requirements: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, English, or related fields. Basic understanding of AI/ML concepts, large language models (LLMs), and natural language processing (NLP). Excellent command of written and spoken English. Strong analytical thinking, creativity, and attention to detail. Ability to work independently as well as part of a collaborative team. Interested can share your resume at giribabu@pranathiss.com

As an Applied AI ML Lead within our Applied AI organization, you will ensure the smooth operation and optimization of our LLM-aided AI products. Collaborate with cross-functional teams to foster innovation and deliver scalable solutions. Job Responsibilities Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs. Bridge scientific research and software engineering, requiring expertise in both domains. Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline, e. g. , Computer Science, Mathematics, Statistics. Experience in an individual contributor role in ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed / multi-threaded / scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc. ). Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results). Experience as a "Responsible Owner" for ML services in enterprise environments. Preferred Qualifications, Capabilities, and Skills Experience in designing and implementing pipelines using DAGs (e. g. , Kubeflow, DVC, Ray). Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models. Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

Position: Senior AI/ML Engineer GCP Location: Hyderabad/Bangalore/Pune Work Mode: Hybrid About the Company: Relanto is a global advisory, consulting, and technology services partner, empowering customers to accelerate innovation by harnessing the power of Data and AI, Automation, NextGen Planning, and Cloud Solutions. Overview: We're seeking an experienced individual (5-10 years) specializing in AI/ML to build and deploy cloud-based machine learning solutions. You'll work with Google Cloud Platform services to create scalable AI systems and APIs that integrate with various ML models. What You'll Do: Design and implement end-to-end ML pipelines in GCP Build and optimize AI models for production deployment using Vertex AI Develop RESTful APIs for ML model serving Implement vector search capabilities using BigQuery ML Create automated testing and deployment pipelines for ML models Set up model monitoring and performance tracking Optimize model inference and serving capabilities Must Have Skills: Strong Python programming with ML frameworks (PyTorch, TensorFlow) Experience with large language models and prompt engineering Proficiency in GCP AI services (Vertex AI, Cloud ML Engine) Vector search implementation (BigQuery ML, Matching Engine) RESTful API development with FastAPI/Flask Container orchestration with Docker and Google Kubernetes Engine (GKE) CI/CD pipeline experience for ML workflows Why Join Us: Competitive salary and benefits. Opportunities for professional growth and development. Collaborative and inclusive work culture. Flexible working arrangements for work-life balance. Exposure to innovative data analytics and visualization projects.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomm’s cutting edge SoC and ML/AI platforms in the industry. Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM Soc Required Skills== 3+ experince with Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA Optimizing kernels for vector Processors Understanding of the basic linear algebra functions used in AI/ML Algorithm design (logic, critical thinking) Performance Evaluation and Optimization of the applications for ARM architecture Inferencing of the ML models written in Pytorch/TensorFlow/Keras Understanding of the typical Open-Source Library framework design Preferred Skills=== Strong Programming skills and deep understanding of the ARM ISA understanding of the algorithms suitable for Vector and matrix accelerators Strong Analytical and debugging skills Good understanding of Optimizing the Linear Algebra algorithms Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. General Summary As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications 7+ years software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering

Join our Trustworthy Shopping Experience Operations Tech (TSE Ops Tech) team in building next generations of global compliance product through the integration of software engineering fundamentals and latest generative AI technologies. You will work with an international team of product managers and stakeholders, tackling complex software architecture design challenges and building highly scalable AI-first to create safer, more intelligent marketplace experiences for both sellers and customers. Key Focus Areas: Developing AI-powered systems for automated product safety assessment and compliance verification Building intelligent catalog management solutions using natural language processing and computer vision Creating generative AI tools to enhance seller safety and compliance processes Designing scalable architectures that combine traditional services with AI/ML capabilities The Ideal Candidate Will Have: Strong software engineering fundamentals and experience with distributed systems Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs) Experience with AI model deployment, optimization, and monitoring in production environments Ability to tackle complex problems through data-driven experimentation What We Offer: Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce Exposure to global markets and diverse technical challenges Full-stack development experience across AI and traditional systems Collaboration with international teams of applied scientists, engineers, and product managers Innovation-focused environment with emphasis on continuous learning and experimentation Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software About the team Trustworthy Shopping Experience (TSE) org is part of SPS and strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. TSE Ops org caters to the operational needs of TSE. TSE Ops Tech team is part of the TSE Ops. Within TSE Ops it focuses on the needs of the Regulatory Intelligence, Safety and Compliance (RISC) programs. COMS Team owns Medux, Human In The Loop (HITL) system that facilitates Operations teams with automated work allocation, skill management and dynamic work execution interfaces to facilitate manual action catering to multiple compliance requirements. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

We are looking for a talented and driven Generative AI Engineer with 3 years of experience to join our AI team. You will work on designing, developing, and optimizing cutting-edge generative models for a variety of applications, including text, images, and audio Proficiency in Python and relevant ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.),GANs, VAEs, Transformers, and Diffusion Models,NLP,computer vision, or audio synthesis,AWS, GCP, Azure,MLOps Develop and optimize generative models (e.g., GANs, VAEs, Diffusion Models, Transformer Models) for various use cases. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

As a Research Analyst, youll collaborate with experts to develop cutting-edge ML solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. We work to solve problems related to entity extraction for Catalog completeness and consistency, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision. RBS Sciences team has grown to 11+ Applied Scientists and created multi-million dollar impact by developing foundational models for these business problems. Team has also contributed significantly in innovation space by publishing research papers (both internal Amazon and external conferences) and Patents over last 3 years. Basic Qualifications Bachelors degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications Masters degree with specialization in ML, NLP or Computer Vision preferred 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

We are looking for a Machine Learning Engineer to help us create advance image processing and artificial intelligence products. Design, Develop , Research and implement appropriate ML algorithms and tools, Run tests