1140 Computer Vision Jobs - Page 26

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. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development

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 : Large Language Models 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. 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 mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to optimize team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Pune 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 : Large Language Models Good to have skills : NAMinimum 15 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 generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- 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 sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities : 1. Data Handling Collect and clean data from machines, sensors, and production lines. 2. Model Building Support basic AI/ML model development for quality checks, defect detection, and maintenance prediction. 3. PoC Assist in small projects to test AI ideas in real manufacturing settings. 4. Collaboration Work with engineers and IT teams to understand problems and implement solutions. Good to know: Interest in manufacturing and automation. Preferred candidate profile Interested candidate kindly share me your CV at jeevabvr@gmail.com

Job Description: Job description: Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to create high-quality datasets. Stay up-to-date with the latest trends and developments in the field of AI/ML. Mentor and guide junior developers, providing technical expertise and fostering a culture of continuous learning and improvement. Requirements : 5+ years of hands-on experience in AI/ML development. Strong programming skills in Python, Django and Flask Expertise in machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning). Experience with natural language processing (NLP) and computer vision. Experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with cloud platforms (e.g., AWS, Azure). Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Passion for AI/ML and a desire to make a significant impact. Proficient in data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD. Experience working in Agile development methodologies is a plus. Key Skills : Ai/ml Framwork Python Django Agile Development Ci/cd

\u200b JobTitle: ComputerVision Engineer Location: Gachibowli Experience: 1-3 years Employment Type: Full-time About the Role We arelooking for a passionate and skilled Computer Vision Engineer to joinour cutting-edge simulation and defense technology team. This role isinstrumental in building next-generation simulation environments thatincorporate AI, computer vision, and immersive sensory realism for militarytraining and war-gaming applications. Key Strategic Objectives Develop modular AI/ML-enhanced simulation blocks to support complex virtual training scenarios. Build real-time Computer Vision/Image Processing capabilities for enhanced situational awareness. Improve sensory realism \u2014including vision, sound, and motion\u2014to deliver truly immersive experiences. Enable adaptive learning and behavioral modeling for intelligent virtual entities. Contribute to the realization of a Military War Room / Gaming Command Centre with dynamic, data-driven capabilities. Key Responsibilities Design and implement AI/ML models tailored for simulation use-cases. Integrate image processing and computer vision techniques into real-time simulation pipelines. Collaborate with domain experts to translate training and tactical requirements into virtual environments. Optimize system performance for real-time execution and immersive responsiveness. Prototype and deploy modules involving visual perception, motion prediction, and behavioral logic. Requirements Essential: Strong mathematical foundation in Linear Algebra , Calculus , Probability , and Optimization . Proficiency in Python and/or C/C++ for simulation and ML development. Demonstrated understanding of AI/ML algorithms and computer vision techniques. Desirable: Experience with OpenCV , YOLO , SLAM , depth estimation techniques. Familiarity with NVIDIA NVAPI , CUDA programming, or real-time graphics APIs. Background in developing simulations or real-time systems in gaming, defense, or robotics domains. What We Offer Opportunity to work on impactful, mission-critical defense simulation projects. A collaborative team of engineers, data scientists, and defense experts. Continuous learning and access to the latest technologies in AI, ML, and simulation. \u200b

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Responsibilities: * Develop machine learning models using TensorFlow, NumPy & OpenCV. * Implement computer vision solutions with CNNs & object detection techniques. Provident fund

Automotive, Business Relationship Management, Collaborative Leadership, Communication, Computer Vision, AI, Machine Learning, Team Leadership, Technological Innovation, Proposal

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. Driven, Energetic and a team player are must haves.

We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division. Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (eg, OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. masters or Ph.D. in Computer Science, Data Science, or a related field.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

Associate GenAI Developer We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division. Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. Master s or Ph.D. in Computer Science, Data Science, or a related field. Years of experience: 3-5

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Position : Edge AI developer Skill Set Experience of at least 2.5 years in development of Video based analytics at Camera level such as perimeter based alert, person detection, movement detection etc Experience on Linux, C and Python Preferred if worked on Tiny Model Work experience on Realtek or Raspberry pi boards for above activities

job requisition idR010567 AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title R&D Senior Member of Technical Staff-Test Location Hyderabad India Employment Type Full Time The job As part of our global AI development group, youll collaborate with a team of skilled software engineers in designing and implementing AI capabilities and solutions into our product suite. The work will primarily involve testing of our AI capabilities that we introduce in our products ensuring that they are of top-notch quality. You will have the opportunity to work with the latest technologies to ensure that we build and bring meaningful AI capabilities to the market through our product suite. Key responsibilities Participate in Scrum meetings with other team members including sprint planning and estimating; backlog refinement; daily Scrum meetings; sprint retrospectives and sprint reviews. Work collaboratively with scrum colleagues to identify, implement and execute functional and non-functional test scenarios to validate the functionality of the software. Be responsible for defining stories, test strategy, test ideas and translating those into automated and manual tests as part of a cross-functional development team. Use tools including test automation frameworks and data to make testing efficient and easily repeatable for regression purposes. You may be required to update existing frameworks or modify them or build new ones depending on the need. Design, implement, and execute test strategies for AI-powered applications, including LLM-based assistants, computer vision models, and predictive analytics systems. You may be required to mentor junior team members. Handle large amounts of data, as is normally the case with AI models. Essential requirements Minimum 10+ years of functional/domain testing experience within the engineering or a related industry. Expertise in non-functional requirement gathering and identifying critical business scenarios. Strong knowledge and hands-on experience in API testing via automation . Experience in application/functional testing . Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems . Proficiency with CI/CD tools such as GIT, TFS, MS Test, and Azure DevOps. Familiarity with Agile methodologies and processes. Experience in test automation using Selenium with C#/JavaScript or similar scripting languages. Understanding of Microservices and Service-Oriented Architectures . Good grasp of Machine Learning life cycle . Ability to design and implement unit and integration tests for machine learning models using varied datasets. Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems Exceptional communication skills to collaborate with Product Owners, System Testers, and Product Support teams . Experience mentoring and coaching less experienced colleagues. Strong problem-solving skills with a proactive and positive approach. Desired skills and competencies Organization: The pace at AVEVA can be exciting and fast, so whilst you will need excellent time management and effective prioritization, we will do all we can to support a balanced portfolio of work, and your wellbeing. Quality Software: You are passionate about delivering software that is reliable, performant and scales well. Problem-solving: Youll need to enjoy figuring how to get out of sticky problems, as troubleshooting and solving challenging problems is a big part of this role. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke its the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out moreaveva.com/en/about/careers/r-and-d-careers/ India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support Its possible were hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out moreaveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process InterestedGreat! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out moreaveva.com/en/about/careers/hiring-process

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 our customers. Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, 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. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon s Geospatial team is looking for a Program Manager to join our team. Our team s our vision is to provide the best mapping solution for logistics with focus on a safe, efficient and frictionless delivery experience. We build and operate software and hardware solutions that support drivers globally. We use innovative technology, such as machine learning, computer vision and large language learning models to enrich our maps. In order to so, we work with a portfolio of map vendors to enrich our maps with attributes important to transporters, as well as hardware vendors for strategic projects. In this role, you manage complex initiatives, delivering critical solutions, significant improvements, new mechanisms, or deprecating processes that are no longer needed. These efforts require you to work with multiple teams in and/or across organizations. The ideal candidate has extensive Program Management experience. This role also requires demonstrated experience managing cross functional relationships, performing financial analysis, creating and implementing processes and great communication skills to influence a variety of internal and external audiences. You are a self-starter and have the business acumen to unpack complex business needs. You thrive in a fast-paced environment and are comfortable with ambiguity. Own program level goals and initiatives Work closely with Vendor Managers, Technology teams, Product teams, Legal and Finance teams to identify opportunities for standardizing processes Manage procurement asks for strategic initiatives including creating POs and tracking against budgets Develop internal and external governance mechanisms 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of defining and implementing process improvement initiatives using data and metrics experience Bachelors degree Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL Experience defining program requirements and using data and metrics to determine improvements 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. Masters degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java Excellent written and verbal communication skills Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

About Us - Attentive.ai is a fast-growing vertical SaaS start-up, funded by Peak XV (Surge), InfoEdge, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms. Position Description: We are looking for a DevOps Engineer to join our engineering team and help us develop and expand various our internal pipelines and infrastructure As a DevOps Engineer at Attentive, you will be working closely with different engineering, computer vision, testing, and product teams to improve and expand their workflows and cloud resources. We offer an inspiring environment full of young people with a lot of ambition. You get the freedom to implement your own designs, solutions, and creativity Roles & Responsibilities: Knowledge of building and setting up new development tools and infrastructure Setup uptime checks, resource health monitoring, and other monitoring tools (Gcp stack-driver, ELK) Managing and scaling cloud-based infrastructure Troubleshooting and resolving infrastructure issues Develop and integrate solutions for the automation of SDL processes such as automated code checks, tests, deployments, rollbacks, etc Automating the build, test, and release process Creating and maintaining documentation for infrastructure and processes Follows the established processes and best practices to ensure code quality and security. Requirements 2-3 years of work experience as a Cloud & DevOps engineer Excellent understanding of Python, Groovy , and bash scripting Experience working on Linux-based infrastructure Experience working on cloud services like GCP,AWS Hands-on experience with CICD Tools Experienced in deploying a containerized application, static websites deployment, etc Working knowledge of deploying and maintaining tools like Github, JIRA, Jenkins Experience in IaC tools Terraform, Ansible Good To Haves: Experience working with serverless application deployments. Experience working with source code scanning and dependency management. Familiarity with data management and ML Ops (Machine Learning) process and tools.

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. Preprocess and augment image/video datasets to improve model accuracy and robustness. Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. Assist in deploying models to production environments, including cloud and edge computing platforms. Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : Bachelors or masters degree in computer science, Data Science, AI/ML, or a related field. Minimum of 3 year of professional experience in Python programming and AI/ML integrations Solid understanding of machine learning concepts, neural networks, and deep learning architectures. Hands-on experience in training and optimizing computer vision models. Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA ",

AI Python Data Science Engineer Hot Openings As a data science and analytics engineer, you will be involved in developing computer visions and data algorithms. Artificial intelligence development and deep machine learning implementations will be part of your development and deployment to the cloud. Experience for senior positions: 4 - 5+ years Experience for junior positions: 2 - 3 years Required Tech Skills Experience in Python (must have) and/or R language. Experience with computer vision algorithms and data science. Experience in deep machine learning models. Well-versed in data visualization techniques. Troubleshoot and resolve code issues. Collaborate with data engineers to design and integrate the data sources. Experience in handling multiple priorities with Agile development. Experience with Git and working in a collaborative and distributive team environment. Required Soft Skills Excellent listening, verbal, and written communication skills. Strong interpersonal & customer relationship skills. Strong analytical, problem solving, and decision-making skills. Documentation skills. Apply now Hot Openings PHP + Node.js Developers Full Time Tech Development Experience 4 - 6+ years

Data Science Architect (Full Stack) Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 4+ Years Experience | AI, Architecture & Product Engineering Hubnex Labs is seeking a visionary and hands-on Full Stack Data Science Architect to lead the development of scalable AI products and reusable intellectual property (IP) that power data-driven solutions across global enterprise clients. This role requires deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. Key Responsibilities AI & Data Science Leadership Lead design and development of end-to-end AI/ML solutions across enterprise applications Architect data pipelines, model training, validation, and deployment workflows Apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, Reinforcement Learning , etc. Evaluate and rank algorithms based on business impact, accuracy, and scalability Design and optimize data augmentation, preprocessing, and feature engineering pipelines Train, validate, and fine-tune models using state-of-the-art tools and strategies Monitor and improve model performance post-deployment Full Stack & Cloud Architecture Design and implement cloud-native systems using microservices , serverless , and event-driven architectures Build robust APIs and UIs for intelligent applications (using Python, Node.js, React, etc.) Use Docker , Kubernetes , and CI/CD pipelines for scalable deployment Leverage technologies like Kafka, TensorFlow, Elixir, Golang , and NoSQL/Graph DBs for high-performance ML products Define infrastructure to meet latency and throughput goals for ML systems in production Innovation & Productization Build reusable IP that can be adapted across industries and clients Rapidly prototype AI features and user-facing applications for demos and validation Collaborate closely with product managers and business stakeholders to translate use cases into scalable tech Explore and adopt new technologies and frameworks to maintain a forward-looking tech stack Required Skills & Experience 4+ years of experience building and deploying AI/ML models and scalable software systems Strong understanding of ML frameworks (TensorFlow, Keras, PyTorch), data libraries (pandas, NumPy), and model tuning Proven track record of working with large-scale data , data cleaning, and visualization Expertise in Python , and experience with at least one other language (Go, Java, Scala, etc.) Experience with front-end frameworks (React, Vue, or Angular) is a plus Proficient in DevOps practices , CI/CD, and cloud platforms (AWS/GCP/Azure) Familiarity with event-driven systems , real-time protocols (WebSockets, MQTT), and container orchestration Hands-on experience with NoSQL databases , data lakes , or distributed data platforms Preferred Traits Experience leading agile engineering teams and mentoring junior developers Strong architectural thinking, with an eye on scalability, maintainability, and performance Entrepreneurial mindset with a focus on building reusable components and IP Excellent communication skills, capable of bridging business and technical conversations Why Join Hubnex Labs? Own and architect impactful AI products used across industries Shape the data science foundation of a fast-scaling software consulting powerhouse Enjoy a creative, high-performance environment in Gurugram , with flexibility and long-term growth opportunities Contribute to next-gen solutions in AI, cloud, and digital transformation

Job_Description":" At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors like Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey. Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn\u2019t just encouraged\u2014it\u2019s inevitable. As a Lead Product Manager, you will drive exponential business growth by shaping product strategy, delivering exceptional user experiences, and leading cross-functional collaboration. You will work closely with data science, engineering, design, and commercial teams to build scalable, cutting-edge products that deliver significant value to a global customer base. Product Strategy & Vision - Define and evolve product strategy aligned with company goals and AI capabilities. - Translate AI advancements into differentiated product features with clear value for end-users. - Work with senior leadership to articulate product vision, business value, and a scalable roadmap. Customer Discovery & Market Analysis - Conduct in-depth customer research to understand user pain points, workflows, and unmet needs. - Analyze competitive landscape, market trends, and regulatory considerations in AI SaaS. Roadmap Ownership - Define product requirements and maintain a clear, prioritized roadmap. - Lead the product lifecycle from ideation to delivery and post-launch iterations. Cross-functional Leadership - Collaborate with engineering, design, and data science teams to build scalable, ethical, and user-centric AI products. - Partner with GTM teams (Sales, Marketing, Customer Success) to ensure successful product launches and feedback loops. Execution Excellence - Write detailed product specs, define OKRs, and drive sprint planning with agile teams. - Ensure timely delivery without compromising on quality or customer impact. AI-Product Interface - Work closely with machine learning engineers and data scientists to understand model capabilities and constraints. - Translate AI research and experiments into real-world applications and intuitive user experiences. Be the P&L Owner - Demonstrate strong business judgment and data obsession. - Own long-term growth strategies and drive measurable impact on the product P&L. Be the Product Evangelist - Engage in customer discovery to unlock more value and read market evolution that ensure the product evolves to meet new customer needs and market trends. - Be fearless and drive Product thought process across the organization. Requirements - 5+ years of product management experience, with at least 2 years in B2B SaaS. - Proven experience in delivering AI/ML-powered products (preferably in Computer Vision, predictive analytics, or intelligent automation). - Strong technical foundation \u2013 able to collaborate effectively with engineering and data science teams. - Demonstrated ability to drive product vision, strategy, and roadmap in a fast-growing environment. - Has owned and delivered successful product outcomes from opportunity identification to launch - Strong product sense \u2013 highly analytical, with the ability to identify the right problems, think big and long term, and make data-informed decisions. - Well-rounded solutioning skills \u2013 human-centered, business-focused, and technology-driven. - Builds lasting peer relationships and has the ability to motivate and inspire teams to perform at their best. - Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels. - Strong user empathy and a passion for creating delightful user experiences with complex technology. - Familiarity with tools like JIRA, Figma, Product board, or similar. Nice to Have - Experience with AI model lifecycle (training, evaluation, deployment, retraining). - Understanding of data privacy, security, and ethical AI frameworks. - Prior startup experience or having scaled AI products in early-stage environments. Benefits We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We\u2019re building more than just a workplace, we\u2019re crafting a space where everyone feels seen, heard, and unstoppable. Here, you don\u2019t just thrive, you grow, innovate, and leave a mark that matters. That\u2019s why we\u2019re committed to equipping you with the best: a Total Rewards Policy that integrates- - Pay: A Competitive Salary that reflects your talent and drive! - Financial Reward: Performance-based Rewards that recognize your impact. - Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best! - Learning: An ongoing investment in you and your skills. - Personalized Development: Self-growth plans crafted to match your performance and career aspirations. - Compensation Reviews: Regular reviews to ensure your value aligns with market trends. ","