1292 Computer Vision Jobs - Page 47

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

Minimum of 6 years of experience as a Software developer At least 2-3 years of experience in AI / ML , Generative AI technologies and enterprise application development Technical Skills: Proficiency in programming languages such as Python, Java, or C++ Expertise in developing high-performing RAG-based chatbots and multi-modal AI agents, fine-tuning LLMs Strong understanding of AI/ML frameworks and librariesExperience with Azure Knowledge of data structures, algorithms, and software design principles Communication Skills: Strong verbal and written communication skills Ability to effectively communicate complex technical concepts to non-technical stakeholders Other Qualifications: Experience with Natural Language Processing (NLP) and computer vision Familiarity with DevOps practices and tools Certification in AI/ML or related fields

Job Summary We are hiring a Junior AI Engineer to design and implement AI-driven automation solutions. You'll work with cross-functional teams to streamline operations and reduce manual tasks using machine learning, APIs, and scripting. Training will be provided , making this a great opportunity for candidates with a strong foundation and a desire to grow in AI and automation. Responsibilities Automate repetitive tasks using AI/ML or Python scripting. Integrate AI features into web apps with development teams. Connect ML models to systems like Frappe/ERPNext via APIs. Build and maintain clean, well-documented automation workflows. Prototype tools using speech-to-text , OCR , or computer vision . Stay updated on new AI tools and suggest improvements. Qualifications: Proficient in Python and basic scripting. Exposure to AI/ML through projects, coursework, or certifications. Familiar with OpenCV, Numpy, Pandas, or PyTorch. Experience or familiarity with Large Language Models (LLMs) and Generative AI technologies (e.g., GPT, Grok). Hands-on experience or understanding of LangChain and its applications in building LLM-powered workflows. Understanding of APIs and web integrations. Bachelors degree (or pursuing) in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills and eagerness to learn.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Lead Generative AI / Machine Learning / Artificial Intelligence Job DescriptionRole: Lead - Generative AI/ Maching Learning/ Artificial IntelligenceExperience: 5 - 10 yearsJob Location: ChennaiAbout OJ Commerce OJ Commerce (OJC), a rapidly expanding and... Job Description Role: Lead - Generative AI/ Maching Learning/ Artificial Intelligence Experience: 5 - 10 years Job Location: Chennai About OJ Commerce OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs more than 2,500 brands across eight primary categories. This role involves driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70% to achieve the targeted revenue run rate of US$ 200 million in three years. As we continue to forge new partner relationships, our flagship website, , has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Job Summary: We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities: Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience: 5 10 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning , NLP , computer vision , or generative models . Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc. Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have: Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text + image + audio). Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML . Exposure to data governance , model explainability , and AI ethics . What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up Submit Your Application You have successfully applied You have errors in applying Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium)

Sberbank is looking for NLP and Speech Recognition Engineer to join our dynamic team and embark on a rewarding career journey. Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

In this role, you will design and develop Artificial Intelligence models and algorithms to solve Telecom network and business problems. You will work closely with engineering, operations, and site reliability engineering (SRE) teams to ensure seamless integration of Artificial Intelligence into workflows and deliver measurable value across the organization. Additionally, you will partner with engineering and delivery teams to embed Artificial Intelligence solutions into existing systems and processes, driving continuous innovation and operational efficiency. If you have a flair for Artificial Intelligence and a passion for solving complex problems, this role is for you. You have: An Engineering degree in Computer Science or equivalent (specialization in artificial intelligence will be a plus) with 4+ years of experience in AI, machine learning, or data science . Exposure to Telecom, cloud, or network engineering is a plus. Practical experience in Python, TensorFlow or PyTorch, LangChain, Hugging Face, and vector databases. It would be nice if you also had: Experience with cloud platforms like AWS, Azure, or Google Cloud, OpenShift/ Kubernetes/Helm, and MLOps tools. Familiarity with big data technologies such as Hadoop or Spark. Knowledge of natural language processing (NLP) and computer vision. Understanding of Telecom networks (5G, 4G, SDN, NFV, OSS/BSS), DevOps, and automation will be a plus. Design and develop artificial intelligence models and algorithms to address Telecom network and business challenges. Integrate Artificial Intelligence solutions into existing systems by partnering with engineering and delivery teams. Leverage large language models (LLMs), multi-agent systems, and automation to enhance network operations, including self-healing and incident response. Perform research and apply the latest Artificial Intelligence advancements to improve model performance and network resilience. Analyze complex data to generate insights for network planning, service management, and automation. Document methodologies and spread knowledge to drive ongoing innovation and partnership.

We are looking for a talented and highly motivated engineer to help advance our effort on creating the most efficient Multi-Model LLM models, with a specific focus on creating value for Enterprises. The candidate will be responsible for training/finetuning of MLLM models, developing prototype solutions to IBM z17 AIU hardware, working closely with IBM AIU teams, and IBM scientists in a flexible and fun environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 5+ years programming and hands on experience in python * Experience with Finetuning Multi-Model LLM models and internals of training stacks * Experience with Pytorch and FSDP * Exposure to lare scale distributed training tuning * Exposure to working with both text and image datasets Preferred technical and professional experience Exposure to Hugging Face Ecosystem, Trasnformer Models, Vision Models, and Diffusion Models Exposure to distributed foundation model training BTech/Masters/PhD in Computer Science or allied fields

Gen AI Engineer Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

About the Role: Looking for a highly experienced Computer Vision Specialist / AI Engineer to join our dynamic team. The ideal candidate will have a proven track record of delivering real-world computer vision and deep learning solutions, particularly in smart monitoring and edge & cloud AI applications. This role demands deep technical expertise in designing and deploying vision-based solutions such as object detection, object tracking, facial recognition, behavioral analysis, ANPR and OCR. You will lead the development and deployment of scalable, production-grade AI systems. Lead the architecture, development, and deployment of computer vision systems from concept to production. Develop and optimize advanced vision algorithms and deep learning models for real-time performance. Optimize AI/ML models for deployment across edge, cloud, and hybrid environments using tools like TensorRT, TFLite, OpenVINO, and ONNX. Collaborate with hardware and software engineering teams to ensure system-wide performance optimization. Conduct thorough testing, benchmarking, and performance tuning of models and systems. Required Skills & Experience: 25 years of hands-on experience in Computer Vision, Deep Learning, and AI model deployment. Strong proficiency in Python , with production-level experience in writing clean, modular, and scalable code. Familiar with frameworks and tools such as OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, Dlib. In-depth knowledge of: Convolutional Neural Networks (CNNs) o Object detection and tracking o Facial recognition techniques o Video-based behavioral analysis RTSP streaming, CCTV camera systems, NVR/DVR integration Deployment experience on platforms including: Edge devices (NVIDIA Jetson, Raspberry Pi, Coral Edge TPU) o Cloud (AWS/Azure/GCP) with containerization tools (Docker) Strong understanding of MLOps tools and workflows, including model tracking, data versioning, monitoring, and retraining. Nice to Have: Familiar with LLM and Vision Language Models

A Generative AI (GenAI) architect designs and implements GenAI architecture, focusing on the technical development, deployment, and optimization of GenAI solutions They bridge the gap between AI technologies and practical business applications, ensuring that AI solutions deliver tangible benefits GenAI architects collaborate with various teams to align AI solutions with business needs, choose the right models and tools, and manage risks associated with AI adoption Job Title: Sr Gen AI Technical Architect Location: Offshore, Preferably Pune, Bangalore, Hyderabad Job Description:The ideal candidate will be responsible for building and launching enterprise applications using Generative AI technologies This role requires hands-on development, team management, technical reviews, and accurate technical estimations Key Responsibilities:Enterprise Application Development:Design, develop, and deploy enterprise applications using Azure Open AI Ensure the applications are scalable, robust, and secure Team Management:Lead and manage a team of developers and engineers at the offshore location Provide technical guidance, mentorship, and support to team members to ensure high performance and professional growth Technical Reviews:Conduct regular technical reviews of the teams work to ensure adherence to best practices and quality standards Provide constructive feedback and implement improvements where necessary Technical Estimations:Work on technical estimations of the new opportunities, including time, resources, and cost Collaborate with project managers and stakeholders to ensure accurate and realistic project planning Collaboration and Communication:Collaborate with onshore teams and stakeholders to align on project goals and deliverables Maintain clear and effective communication channels to ensure smooth project execution Innovation and Improvement:Stay updated with the latest advancements in Generative AI and related technologies Continuously seek opportunities to improve processes, tools, and methodologies Qualifications: Experience:Minimum of 9 years of experience as an Architect, Software developer At least 2-3 years of experience in AI / ML , Generative AI technologies and enterprise application development Technical Skills:Proficiency in programming languages such as Python, Java, or C++ Expertise in developing high-performing RAG-based chatbots and multi-modal AI agents, fine-tuning LLMsStrong understanding of AI/ML frameworks and librariesExperience with AzureKnowledge of data structures, algorithms, and software design principles Leadership Skills:Proven experience in leading and managing technical teams Excellent problem-solving and decision-making abilities Communication Skills:Strong verbal and written communication skills Ability to effectively communicate complex technical concepts to non-technical stakeholders Other Qualifications:Experience with Natural Language Processing (NLP) and computer vision Familiarity with DevOps practices and tools Certification in AI/ML or related field

Select with space bar to view the full contents of the job information. Staff Researcher - Multimodal Lab Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Staff Researcher - Multimodal Lab Dolby Laboratories, Inc. Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits. This position is based in Bangalore. We work jointly from the office and offer some flexibility to work from home. Summary Dolby s research division is looking for a volumetric imaging researcher to join Dolby s research efforts to develop the next generation of volumetric or spatial scene understanding and representation technologies. In this position you will join the Multimodal Experience Lab within Dolby s Advanced Technology Group. You will work with a seasoned team of researchers to develop volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. You will be the lead contributor to research the state of the art and then push beyond, specifically in domains related to the composition and de-composition of volumetric scenes, as well as understanding and manipulating lighting, shadows, and occlusion. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. Main responsibilities Perform cutting-edge research in computer graphics and view synthesis Work as a part of a top-notch research team. Define and execute research roadmaps Use good development methodology, including quality metrics and test content, to validate algorithmic solutions Use AI and deep learning techniques to create new solutions and enhance existing applications. Share knowledge via technical whitepapers, publications, and internal presentations Transfer technology to product groups and draft patent applications. Stay abreast of state-of-art research in the computer graphics/computer vision fields Requirements Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or similar Strong publication record with publications in major conferences/journals Strong background in view synthesis and/or light-field research Familiarity with various scene representation such as Gaussian Splatting or NeRF Demonstrated proficiency in computer graphics/computer vision R&D Experience with research-oriented programming languages (Python, Matlab, or C/C++) Experience building and testing models in Pytorch/Tensorflow environments Excellent written and verbal communication skills are required Strong team player, able to work with colleagues in research and software development fields Strong expertise in deep learning-based solutions Nice to have: Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) Experience with Pytorch3D Experience with Game engines (Unreal, Unity) Experience with XR environments, capture, and devices

Title: Robotics Engineer Location: Pune About Peppermint Robotics Peppermint is an autonomous robotics company co-started out of SINE IIT-Bombay and supported by Qualcomm. With a focused goal of expediting the advent of service robots, Peppermint designs and makes commercial housekeeping robots from its factory in Pune and works across from its offices in Pune, Mumbai, Bangalore, Dubai and Austin. Overview As a Robotics Engineer at Peppermint Robotics, youll have the opportunity to gain valuable hands-on experience in a cutting-edge robotics company. We are seeking a talented and detail-oriented individual who possesses attention to detail, proactive communication, to plan within the available resources and is self driven. Qualification: Bachelors degree in Robotics, Computer science, Electrical engineering, or related field. What The Work Looks Like: Develop and deploy algorithms for navigation, path planning, and computer vision. Conduct research and stay up-to-date with the latest advancements in the field of robotics Collaborate with diverse teams to integrate robotic systems. Develop a deep understanding of various sensors, including 2D/3D lidars and cameras. Optimize algorithms for real-time performance. Engage in hands-on tasks related to robotic hardware, such as system setup, calibration, and debugging. Test robotic systems in both simulated and real-world scenarios. Experience and Skills / Qualities We Deeply Value: 3+ years of relevant industry experience Passion for developing software for world-class robots. Excellent C++ programming and software design skills to support high-performance perception. Experience with Python is a plus. Experience with ROS1 and/or ROS2. Hands-on experience with SLAM, robot navigation, and behavior planning Hands-on experience with OMPL or similar frameworks Hands-on experience with OpenCV, PCL/Open3D Hands-on experience with real robots and perception sensors such as time-of-flight cameras, 2D/3D LIDAR, and stereo cameras. Experience with different communication protocols such as modbus, CAN bus, UART, etc. Demonstrates a strong sense of curiosity and an eagerness to learn new concepts, technologies, and methodologies. Good To Have: Experience with GTSAM/Ceres/Symforce/Casadi Experience with Pytorch, TensorFlow, OpenCL, and CUDA Knowledge of Rust for computer vision and/or otherwise. Experience with OpenVINO Understanding of different planning algorithms. What To Expect: At Peppermint, we value authenticity, clear communication, and a willingness to ask questions. We believe in supporting each team members career journey and fostering a culture that drives our mission forward. We hope you share our passion for our purpose and are excited to get started! Prepare yourself for the experience of a lifetime as you work on a product that is truly world-class. This journey will be both rewarding and challenging, pushing you to your limits to deliver the best possible results. Youll be joining a league of talented individuals who are passionate about what they do and who strive for excellence every day. Work Culture: We are a process and innovation-oriented team, with domain experts working together to build world class robots and technologies. We care for intent, attitude and collaboration over just results and work. Our culture stands for trust, authenticity, clear communication, first principles thinking and emphasis to ask anything! We care deeply for every team member s career and personal journey and the culture which propels it forwards. We do expect you to explore the underlying purpose and mission at helm @ Peppermint Robotics which drives us onwards and forwards! Next Steps:

We encourage you to apply if you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities: 1. Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. 2. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. 3. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. 4. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. 5. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. 6. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. 7. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications: Masters or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business

Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratory in the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to redefine how businesses operate. As part of the research team, you will get an opportunity to turn your research ideas into successful products and at the same time, disseminate them at top conferences and journals. Responsibilities Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Quality research work published in top conferences. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. BTech (for research associates) or PhD degree or an equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team Have a consistent track record for empirical research, answering complex questions with data. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases, SQL and large-scale data systems such as Apache Spark.

Roles & Responsibilities: Design, develop, and optimize computer vision models for tasks like object detection, image segmentation, and video analysis. Implement machine learning algorithms and techniques using Python frameworks (e.g., TensorFlow, PyTorch, OpenCV). Preprocess and augment image/video datasets for model training and testing. Perform exploratory data analysis to extract insights and refine data pipelines. Collaborate with DevOps and engineering teams to deploy machine learning models into production environments. Set up monitoring and performance evaluation for deployed models. Contribute to CI/CD pipelines for AI workflows. Work closely with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals. Document processes, models, and experiments effectively. Requirements: Proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, OpenCV). Strong understanding of computer vision concepts such as feature extraction, image classification, and object detection. Hands-on experience in developing and training deep learning models for image and video data. Basic knowledge of MLOps practices, including model deployment (e.g., Docker, Kubernetes) and monitoring. Familiarity with version control systems like Git. Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML workloads.

Are you inspired by inventionDo you like building end to end automated solutions to drive Amazon digital products improvementWant to dive deeper about how customer experience can be measured by machine learning and computer vision technology We are looking for a Senior Software Development Engineer to lead this exciting new innovative program in India. We build the automated products to measure the customer experience and digital products performance on the devices around the world. You will be responsible for designing, developing, testing, and deploying sophisticated engineering systems for measuring customer CX. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers. You will focus on driving the next wave of innovation to measure the digital experience in terms of latency and quality. You will lead the team to expand the automation with AWS IoT, and strive for exposing the visual / audio analytic capability as self-service. You will lead the team to leverage AI and quantitative analysis to challenge conventional wisdom with hard data. - Leading the design, development, and maintenance of systems, ensuring they meet Amazon s growing scale. - Work with technical stakeholders from across the company to solve big problems, align on technical direction, and make sure our systems continue to meet their evolving needs. - Grow the junior developers on the team and set a high bar for engineering best practices. About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon - for every customer (E.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientist, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 5+ 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

Generating high-quality data is the core problem our business solves. Our goal is to make the production and delivery of high-quality data a seamless and efficient process for operators and customers. Our Operator Group is building customer and operator specific infrastructure to deliver high quality data with low turnaround time. Youll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model building organizations in the space. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. Youll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. Youll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 5 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Culture: Join a passionate team of engineers and AI experts in a fast-paced, collaborative environment. We value innovation, continuous learning, and a commitment to pushing the boundaries of whats possible in AI data infrastructure.

Primary Skill: Managing clients, cross-selling, and up-selling products and services, Strong understanding of AI, computer vision, and cybersecurity concepts, i ncrease revenue, Manage the entire sales process from lead generation to closing deals from existing accounts Working Timings- 9:30 AM to 6:30 PM Qualification: Any Graduation Key Responsibilities: - Manage and nurture relationships with existing BFSI clients to ensure customer satisfaction and loyalty. - Handle renewals of our products and services to existing clients. - Develop and implement strategies to achieve sales targets and increase revenue from existing accounts. - Identify opportunities for upselling and cross selling our solutions to meet client needs and enhance their experience. - Work closely with the sales and technical teams to deliver customized solutions and ensure client success. - Conduct regular meetings, reviews, and presentations with clients to maintain strong relationships and address any issues or concerns. Also provide insights and feedback from clients to help improve products and services - Conduct independent product demonstrations, presentations, and consultations. - Collaborate with internal teams to ensure the successful delivery of solutions and services. - Monitor and report on account performance and key metrics to management. - Stay updated on industry trends and competitive landscape to identify opportunities for growth. - Lead proof of concepts to showcase the capabilities of our solutions to clients. - Participate in industry events, conferences, and trade shows to promote our solutions and generate leads. - Manage the entire sales process from lead generation to closing deals, including techno-commercial proposal preparation, negotiation, and contract management. - Provide regular sales forecasts and reports to management, highlighting key metrics, pipeline status, and opportunities for improvement. - Achieve or exceed quarterly and annual sales targets. xbiz Qualifications: Education & Experience: - Bachelordegree in business, Information Technology, or a related field. - Proven track record of at least 4 years in account management within the BFSI sector. - Experience in renewals, cross-selling, and up-selling products and services. - Strong understanding of AI, computer vision, and cybersecurity concepts and technologies. Technical Skills & Competencies: - In-depth knowledge of AI, computer vision, and cybersecurity frameworks and standards. - Proficiency in using CRM software and sales tools (e.g., Salesforce, HubSpot, Zoho). - Proficiency in using Microsoft Office tools MS Excel, PowerPoint, Word. Personal Attributes: - Excellent communication, presentation, and negotiation skills. - Ability to understand and articulate complex technical solutions to non-technical audiences. - Strong problem-solving skills and ability to work independently and as part of a team. - Self-motivated, results-oriented, and customer-focused.

Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails Mandatory Skills: Desktop Imaging. Experience3-5 Years.

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 Requirements 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. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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 Requirements RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Mandatory skills of C/C++ programming and operating systems. Experience with Camera drivers and controllers, preferably with Linux V4L2 driver model. Working knowledge of MIPI-CSI-2 and PHY specification; Working experience with bus protocols such as I2C/SPI. Experience in driver design and implementation with multiple camera vendor sensors such as - Sony, Aptina, OmniVision; Experience with FPDLINK/GMSL2 serializer/deserializers, CVBS, analog cameras. Familiarity with camera imaging pipeline such as 3A (focus/white balance/exposure), HDR, color correction, etc., is a plus. Exposure to Video pre- and post-processing algorithms, motion compensation & estimation, deinterlacing, etc., for subjective quality enhancement is a plus. Knowledge of computer vision, Video Analytics (facial recognition, object recognition) is a plus. Knowledge of one or more Real-Time Operating Systems is preferredwhich includes Android, QNX, Embedded Linux. Solid understanding of ARM assembly language and low-level software/hardware interface design, JTAG based debugging is a plus. Exposure to Hypervisors and Virtualization is a plus. Fluent in industry standard software development toolsdebuggers, code revision control systems (GIT, Perforce), IDEs and build tools. 10+ years Software Engineering or related work experience. 2+ years in a technical leadership role with or without direct reports. Possess 3-yrs to 7-yrs of experience in embedded software development. Good work experience in embedded software and/or driver development. Candidate should be detail-oriented and have strong analytical and debugging skills, strong communication skills (written and verbal), working with teams across multiple time zones. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.