1594 Computer Vision Jobs - Page 50

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What Youll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master s or Bachelor s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes.

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazons history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientists work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term sensitive content includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term content refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Job Title Lead Data Scientist Job Description Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. You light the way. More about the role we're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders. you'll be part of the Signify s Enterprise Data & Analytics team, based in Bangalore. More about you Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything we'll do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching

We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will design, develop, and implement machine learning models and AI-driven solutions to solve complex business problems. You will collaborate with cross-functional teams to bring scalable and innovative AI products to production. Key Responsibilities: Design, build, and deploy machine learning models and algorithms. Work with large datasets to extract meaningful patterns and insights. Collaborate with data engineers to ensure efficient data pipelines. Conduct experiments and perform model evaluation and optimization. Integrate ML models into production systems. Stay updated with the latest research and developments in AI/ML. Create documentation and communicate findings and models effectively. Requirements: Technical Skills: Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, NLP, computer vision, or reinforcement learning (as per role focus). Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. Experience with databases (SQL, NoSQL) and version control (Git). Education & Experience: Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or related field. 2-3 years of experience in machine learning or AI roles. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team environment. Excellent communication and documentation skills. Preferred Qualifications: Publications or contributions to open-source ML projects. Experience in deploying models using Docker/Kubernetes. Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Key Responsibilities Develop or improve an algorithmic feature or a Matlab (system or product) feature, including research, design, development and implementation & proliferation accompanying in accordance with project budgets and time schedules. Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains Provide information needed for construction of work plans for his own features Document algorithmic development, take part in planning and accompany implementation, integration and testing of an algorithmic module Interact with internal and external customers to assist in gap analysis, activity definitions, data collection and accompany integration, testing and proliferation of algorithmic solutions Understand system and applicative environment regarding own feature, take part in system definitions Functional Knowledge Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities Business Expertise Understands key business drivers; uses this understanding to accomplish own work Leadership No supervisory responsibilities but provides informal guidance to new team members Problem Solving Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents Impact Impacts quality of own work and the work of others on the team; works within guidelines and policies Interpersonal Skills Explains complex information to others in straightforward situations Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Not Specified Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Job Title: PMO (Project Management Office) Manager Summary We are seeking an experienced and dynamic PMO Manager to lead and oversee complex technical projects in the fields of AI, computer vision, and software development. The ideal candidate will have multidisciplinary experience across supply chain, IT, account management, and sales/marketing, along with exceptional business acumen and project governance skills. You will play a crucial role in aligning project outcomes with business objectives, driving measurable ROI, and fostering a culture of accountability and excellence. Skills Required - Proven ability to lead complex technical projects (preferably in AI, computer vision, or software development) - Expertise in project management methodologies (Agile, Waterfall, hybrid) - Experience in supply chain (vendor management, procurement, logistics, manufacturing, IT, account management, and/or sales/marketing) - PMP or equivalent certification - Proficiency in project management tools (Wrike, Jira, Monday, MS Project, Asana, or similar) - Strong command of Microsoft Office, especially PowerPoint for executive-level presentations - Excellent written and verbal communication skills to engage stakeholders at all levels - Strong business acumen and ability to demonstrate project ROI - Autonomy and resilience to thrive in dynamic and ambiguous environments Roles and Responsibilities - Establish and maintain project management standards, best practices, and governance frameworks - Lead end-to-end delivery of complex technical projects, ensuring alignment with strategic business goals - Collaborate with multidisciplinary teams across AI, computer vision, software development, supply chain, IT, and business functions - Develop and manage project plans, schedules, resources, and budgets - Proactively identify and mitigate project risks and issues - Provide transparent updates on project performance through KPIs and executive reports - Create visually compelling, data-driven PowerPoint presentations for executive audiences - Ensure project outcomes demonstrate clear ROI and business impact - Foster a collaborative and innovative environment, promoting continuous improvement in project delivery processes Qualifications & Experience - Education: MBA or Business Degree - Experience: 5+ years of experience managing complex technical projects - Certifications: PMP or equivalent certification - Software: Experience with project management solutions (Wrike, Jira, Monday, MS Project, Asana, or similar) and Microsoft Office (PowerPoint mastery preferred) Brownie Points - Experience in AI, computer vision, or software development environments - Multidisciplinary exposure across supply chain, IT, and customer-facing roles - Ability to drive process improvements and support business growth What We Have to Offer - Work with a performance-oriented team driven by ownership and committed to excellence in a result-reward based culture. - Learn to align technical project outcomes with strategic business goals in a rapidly evolving environment - Meritocracy-driven, transparent, and dynamic company culture

Experience: 3+ years Location: Bengaluru( Work from office) Notice period: Immediate joiners Roles: Build and deploy AI models in Computer Vision and GenAI domains Work with tools like OpenCV and pose detection models Collaborate directly with clients to understand needs and deliver solutions Use low-code/no-code platforms for rapid prototyping Leverage AI code editors/code generators to accelerate development Requirements: 3+ years of hands-on experience in AI/ML , with a focus on Computer Vision and GenAI Proficiency with OpenCV , pose detection, and Python-based AI frameworks Experience working with clients and managing technical deliverables Knowledge of platforms like Bubble , or other low-code tools Familiarity with AI coding assistants like GitHub Copilot , Replit , etc.

Role & responsibilities Design and implement custom algorithms for image analysis using deep learning and machine learning. Work extensively with remote sensing data , including multispectral and satellite imagery . Process and analyze large-scale image datasets using Python and ML frameworks. Apply computer vision techniques for tasks like classification, segmentation, and feature extraction. Use geospatial tools like GDAL to manage and analyse spatial datasets. Collaborate with cross-functional teams to deploy scalable image processing solutions. Preferred candidate profile Proficient in Python with hands-on experience in libraries like OpenCV, NumPy, and Pandas Strong background in deep learning frameworks TensorFlow, Keras, PyTorch Solid understanding of remote sensing concepts and working with multispectral/hyperspectral imagery Experience in handling and analyzing large volumes of geospatial data Strong foundation in applied mathematics and statistics Familiarity with AutoEncoders and GDAL is a strong plus

Senior Technical Lead (AI-DLML) Job Role & responsibilities Understand operational needs by collaborating with client specialized teams Formalize needs into mathematical models and problems Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns Choose relevant techniques and create data processing solutions for the identified needs Present and promote the solutions to the relevant stakeholders Implement and deliver solutions by contributing individually as well as leading teams Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.) Mandatory Skills Minimum 7+ years of hands-on professional experience in machine learning (ML), deep learning (DL) and artificial intelligence (AI) Minimum 7+ years of coding skills in programming languages (required: Python; appreciated: R, Java/ Scala), SQL 5+ years of proficiency in popular ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Theano, Sklearn, Pandas, NumPy, Matplotlib, etc.) Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering & selection, building, validating, and deploying predictive models, explaining model results and insights to client/stakeholders Proficiency in AI, ML, DL techniques such as regression, classification, segmentation, anomaly and novelty detection, dimensionality reduction, tree-based algorithms, support vector machine, recommender system, attribution modelling to address business problems. Deep understanding of neural networks, deep learning, and generative models (e.g., RNNs, CNNs, LSTMs, GANs, VAEs, etc.). Experience with 2-3 ML/DL model deployment in Azure (AzureML, Databricks, etc) is preferable Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills

Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. ",

Role & responsibilities Production-Focused AI: Design, develop, and deploy scalable AI solutions, emphasizing MLOps best practices. Model Expertise: Deep proficiency in AI model engineering, including: o Training and fine-tuning large language models (LLMs) and other deep learning architectures. o Model optimization, quantization, and deployment for latency and throughput. o Model evaluation and monitoring in production environments. AI Solution Development: Build and integrate AI capabilities (e.g., computer vision, NLP, recommendation systems) into production-grade Web/Mobile App software. Scalability & Performance: Experience scaling AI systems for high-volume, real-time applications, leveraging Cloud-Native or Edge-AI technologies. Data-Driven Development: Strong understanding of data pipelines and feature engineering for AI applications. Preferred candidate profile Perks and benefits

Who you are & how you can contribute? We are looking for highly skilled Software Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience. This is an opportunity to be part of the Amazons new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection. Youll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazons innovation. As a key member, youll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies. If youre enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex problems using top-notch ML models, LLM and GenAI techniques, then youre the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as youll work closely with business owners to understand customer needs and design scalable solutions. Join us on this exhilarating journey and be part of redefining the vehicle shopping experience. As an Applied Scientist in Amazon Autos, you will: - Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain. - Drive big picture innovations with clear roadmaps for intermediate delivery. - Apply your skills in areas such as deep learning and reinforcement learning while building scalable solutions for business problems. - Produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. - Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. - Interface with business customers, gathering requirements and delivering science solutions. - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. - Effectively communicate complicated machine learning concepts to multiple partners. - Research new and innovative machine learning approaches. A day in the life In this role, you will be part of a multidisciplinary team working on one of Amazons newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to customers. Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. Youll invent and apply state-of-the-art technologies, such as large language models, machine learning, NLP, and computer vision, to build next-generation solutions for Amazon. Youll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Masters degree or above in computer science, machine learning, engineering, or related fields - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment.

Greetings!!! This is in regards to a Job opportunity for AI Engineer - Chatbot with Datamatics Global Services Ltd. Position: AI Engineer - Chatbot Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

Location: Gurugram (Work From Office) Job Type: Full-Time Job Description: As a Senior Machine Learning Engineer , you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation , including AI-driven image/video generation, lipsyncing, and multimodal AI systems . You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities: Research & Develop : Design and implement state-of-the-art generative models , including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis . End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Speech & Video Synchronization : Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques . Scaling & Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) . Collaboration & Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. Experimentation & Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency , and refine model architectures. Code Quality & Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development . Qualifications: Bachelor's or Masters degree in Computer Science, Machine Learning, or a related field. 3+ years of experience working with deep generative models , including Diffusion Models, 3D VAEs, GANs and autoregressive models . Strong proficiency in Python and deep learning frameworks such as PyTorch. Expertise in multi-modal AI, text-to-image, and image-to-video generation , audio to lipsync Strong understanding of machine learning principles and statistical methods. Good to have experience in real-time inference optimization, cloud deployment, and distributed training . Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training . Preferred Qualifications: Experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V). Background in text-to-video generation, lipsync generation and real-time synthetic media applications . Experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation) . Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis .

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Product Development Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Product Development Management.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Product Development Management.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : NoSQL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in NoSQL.- Strong understanding of AI and ML concepts.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with chatbot development and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in NoSQL.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Proficient in programming languages such as Python or R. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Value Architecture & Realization Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Research and experiment with new AI technologies.- Contribute to the development of AI strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Value Architecture & Realization.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Value Architecture & Realization.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that enhance the capabilities of AI technologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to foster their growth and development.- Continuously evaluate and improve existing processes to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with image processing techniques and algorithms.- Familiarity with cloud platforms and services for deploying AI solutions.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 7.5 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to design and implement data pipelines for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: 1. Assist in developing and fine-tuning (LLMs) using deep learning frameworks 2. Work on model training, evaluation, and optimization 3. Support data preprocessing, augmentation, and pipeline setup for large-scale datasets