1127 Computer Vision Jobs - Page 30

Job Title: Annotation Analyst Location: Gandhinagar Salary: 2 to 2.5 LPA (Depends on Interview) Shift: Rotational (Cab Facility Available) Working Days - 5 Days Working Model: 24/7 (Work from Office

Job Title: Annotation Analyst Location: Gandhinagar Salary: 2 to 2.5 LPA (Depends on Interview) Shift: Rotational (Cab Facility Available) Working Days - 5 Days Working Model: 24/7 (Work from Office

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we’re looking for: Master’s degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Key Responsibilities Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e. g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 30769

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. We are Hiring Machine Learning Engineers at goML! Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelors/Masters degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-8 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.

Job Title: Lead Data Scientist NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time About the Role We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position.You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally.Key Responsibilities• Design, build, and deploy production-ready NLP and computer vision models to solve real-worldproblems.• Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. • Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. • Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. • Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. • Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. • Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. • Contribute to defining a strategic roadmap for data science and AI within the business. • Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. • Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings.Required Skills & Experience • 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. • Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. • Experience deploying ML models in cloud environments (Azure, AWS, or similar). • Solid grounding in machine learning fundamentals and deep learning architectures. • Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. • Experience mentoring junior team members or leading technical efforts. • Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. • Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders.Nice to Have • Experience with MLOps, experiment tracking, and CI/CD for machine learning (e.g. MLFlow, DVC,Kubeflow). • Exposure to geospatial, public sector, real estate, or sustainability data domains. • Familiarity with ethical AI principles, model interpretability, and responsible data use.

Computer Vision Engineer Experience: 3-5 Years Exp Salary : Competitive Preferred Notice Period: less than or equal to 30 days Shift: 10:00 AM to 6:00 PM IST Opportunity Type: Hybrid (Gurugram, Haryana) Placement Type: Full Time, Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision , Camera Calibration Stupa Sports Analytics (One of Uplers' Clients) is Looking for: Computer Vision Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About DailyRounds /Marrow Stupa is a global sports technology company, driven by our love for table tennis, badminton, padel and pickleball. Our core services include digitized event management systems for sport federations, performance analytics for athletes, OTT for fans and live streaming for betting and media houses. Through our AI enabled video solutions used by national federations and broadcasters, we enhance the viewing experience for fans across the world. About The Role: We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Dear Candidate, We are hiring a Machine Vision Engineer to develop vision-based inspection, object detection, and automation systems. Great for engineers skilled in image processing and deep learning. Key Responsibilities: Design vision systems for defect detection, OCR, and tracking Develop image processing algorithms using OpenCV or MATLAB Integrate vision hardware with robotic systems and automation platforms Apply deep learning techniques for object recognition and classification Required Skills & Qualifications: Proficiency in C++, Python, and vision libraries (OpenCV, Halcon) Experience with camera calibration, lighting, and lens systems Knowledge of ML/DL frameworks (TensorFlow, PyTorch) Bonus: Experience with industrial cameras and automation protocols Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

We are seeking a highly skilled AI/ML with a strong background in Data Science, Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have extensive experience in NLP, Computer Vision, and AI frameworks, along with hands on expertise in Python and cloud platforms like Azure, AWS, or GCP. This role requires architecting, designing, and implementing AI solutions while ensuring scalability, efficiency, and performance. Key Responsibilities : AI/ML Solution Design: AI/ML solutions across various business domains, ensuring scalability and efficiency. Generative AI (NLP & CV): Design and implement NLP models (LLMs, Transformers, Chatbots, Text Summarization) and Computer Vision solutions (Image Processing, Object Detection, GANs, Diffusion Models). Cloud AI Deployment: Deploy and optimize AI/ML models using Azure (Azure OpenAI, Synapse, Data Factory, AI Search) or other cloud platforms (AWS/GCP). MLOps & Model Lifecycle Management: Establish CI/CD pipelines, model versioning, monitoring, and retraining strategies. Data Engineering & Feature Engineering: Work with large datasets, structured & unstructured data, and leverage vector databases (FAISS, Pinecone, Azure AI Search) for efficient retrieval. Performance Optimization: Optimize AI solutions for low latency, high throughput, and cost efficiency. Stakeholder Communication: Collaborate with business teams, product managers, and engineers to define AI-driven solutions that align with business needs. Technical Leadership: Mentor junior data scientists, conduct code reviews, and establish best practices for AI development.

Writing effective, scalable code Developing back-end components to improve responsiveness and overall performance Integrating user-facing elements into applications

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 :Machine Learning Operations Good to have skills :NA Minimum 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 that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects. 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. Collaborate with stakeholders to understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services. Implement and optimize machine learning algorithms and models. Ensure the quality and performance of AI applications through testing and debugging. Stay up-to-date with the latest advancements in AI/ML technologies and tools. Contribute to the documentation and knowledge sharing within the team. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning Operations. Experience with cloud-based AI tools and services. Strong understanding of deep learning, neural networks, and image processing. Hands-on experience with chatbot development. Solid knowledge of data preprocessing and feature engineering techniques. Good To Have Skills:Experience with natural language processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks. Experience with containerization and orchestration tools like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Azure AI Services, Microsoft Azure OpenAI Service and Azure PaaS components. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities: Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS. Collaborate with cross-functional teams to ensure the timely delivery of high-quality solutions. Act as the primary point of contact for all application-related issues, providing technical guidance and support to team members. Ensure adherence to best practices and standards for application development, including code reviews, testing, and documentation. Professional & Technical Skills: Must To Have Skills:Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights. Must To Have Skills:At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search.-Must to Have Skills:Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio). Should have experience in integrating chatbot solutions with multiple channels. Must To Have Skills:Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio. Good To Have Skills:Knowledge of other vector databases, Knowledge Graphs and other programming languages such as C#. Good To Have Skills:Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.Good To Have Skills:Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence. Experience with database technologies such as SQL Server and Cosmos DB. Solid grasp of software testing and quality assurance principles. Knowledge of DevOps practices. Additional Information: The candidate should have a minimum of 5 years of experience in software development. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering high-quality solutions. This position is based at our Bengaluru office. 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 NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs 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, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 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 Application Developer Project Role Description Design, build and configure applications to meet business process and application requirements. Must have skills Industry X Robotics Good to have skills NA Minimum 7.5 year(s) of experience is required Educational Qualification 15 years full time education Job TitleRobotics Associate ManagerLocationBengaluru Job SummaryWe are seeking an experienced and dynamic Robotics Associate Manager to lead and oversee the development, design, and implementation of robotics systems for our [company's product/service]. As a Robotics AM, you will lead a team of engineers and collaborate closely with cross-functional teams to develop innovative robotic solutions that meet the needs of the business. This role requires strong technical expertise in robotics, and the ability to drive projects from concept to completion. Roles & Responsibilities:-Lead a team of robotics engineers and technicians to design, prototype, and develop robotic systems and solutions.-Manage the development lifecycle of robotics projects from initial concept, system design, testing, and deployment.-Collaborate with other engineering teams, including software, hardware, and systems engineering, to ensure the seamless integration of robotics systems.-Ensure that robotics systems meet safety standards, regulatory requirements, and performance specifications.-Drive continuous improvement in robotics system performance, scalability, and cost-effectiveness.-Mentor and coach team members, providing guidance and fostering a culture of innovation and problem-solving.-Manage project timelines, resources, and budgets to ensure successful and on-time delivery of robotics projects.-Develop and implement testing protocols for robotic systems to ensure functionality, reliability, and safety.-Stay up to date with industry trends, emerging technologies, and advancements in robotics to help guide the team toward best practices.-Work with product management and other stakeholders to define product requirements and align the robotics development efforts with business goals.-Provide technical leadership and resolve complex engineering challenges throughout the development process.-Oversee the documentation of engineering designs, processes, and specifications.Professional & Technical Skills: -Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.-10+ years of experience in robotics development.-Strong knowledge of robotic hardware, sensors, actuators, and control systems.-Experience with robotics programming languages such as ROS (Robot Operating System), Python, C++, or similar.-Proficiency in robotic simulation tools and CAD software.-Familiarity with machine learning, computer vision, and AI technologies applied to robotics is a plus.-Proven experience managing and leading cross-functional teams.-Excellent problem-solving skills and a hands-on approach to project management.-Strong communication skills and ability to present complex technical concepts to non-technical stakeholders.-Experience in developing and managing budgets and timelines for engineering projects.-Knowledge of industry standards, safety regulations, and compliance requirements in robotics.Additional Info:- The Candidate should have experience with industrial automation or robotic manufacturing systems, as well as familiarity with cloud computing and data analytics in the context of robotics.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Primary skillset: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch Experience: Minimum 8-12 years of experience in AI/ML/Data Science Proven track record of successfully delivering AI/ML/Data Science projects

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 : Prompt Engineering Good to have skills : NA Minimum 3 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 perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Stay updated with the latest AI/ML technologies and trends. Collaborate with cross-functional teams to implement AI solutions. Develop and deploy machine learning models. Optimize AI algorithms for performance and scalability. Conduct research to enhance AI capabilities. Professional & Technical Skills: Must To Have Skills: Proficiency in Prompt Engineering. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Prompt Engineering. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Must-Have: ML, Deep learning, NLP, (AWS or Azure or Google cloud), Python, Computer Vision. Minimum of 4+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)? Knowledge of LLM Models. Extensive experience in handling Time-series data. Experience in working on anomaly detection. Experience in handling structured and unstructured data. Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.) Experience in developing and debugging in one or more of the languages Python.

As the HPC Software Manager, you will build lead a team responsible for architecting and developing the distributed software infrastructure that powers image computing clusters across the LS division. This role is pivotal in enabling scalable, high-performance platforms that support advanced image processing and AI workloads. Key Responsibilities: Strategic Leadership: Define and drive the long-term vision and roadmap for distributed HPC software infrastructure supporting image computing clusters. Team Development: Build, mentor, and grow a high-performing team of software engineers and technical leaders. Cross-functional Collaboration: Partner with product, hardware, and algorithm teams to align infrastructure capabilities with evolving image processing and AI requirements. Platform Architecture: Oversee the design and implementation of scalable, fault-tolerant distributed systems optimized for hybrid CPU/GPU workloads. Lifecycle Management: Lead the end-to-end development of image computing platforms, from requirements gathering through deployment and maintenance, using best-in-class project management practices. Developer Enablement: Deliver robust software platforms and tools that empower engineers to develop, test, and deploy new image processing and deep learning algorithms efficiently. Innovation in Hybrid Computing: Spearhead the integration of traditional image processing and AI/DL techniques into a unified hybrid computing architecture, leveraging modern HPC technologies. Qualifications: Education: Bachelor s or Master s degree in Computer Science, Electrical Engineering, or a related technical field. Experience: 10+ years of experience in software engineering, with at least 4 years in technical leadership or management roles. Proven track record in building and scaling distributed systems, preferably in HPC or cloud-native environments. Experience with image processing, computer vision, or AI/ML infrastructure is highly desirable. Technical Skills: Deep Understanding of distributed computing frameworks Linux Systems Programming Proficiency in C++, Python, and/or other systems programming languages. Familiarity with GPU computing and hybrid CPU/GPU architectures. Strong grasp of software development best practices, CI/CD, and DevOps principles. Leadership Communication: Demonstrated ability to lead and drive functional teams. Excellent communication and stakeholder management skills. Passion for mentoring and developing engineering talent. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Electrical Engineering, or a related technical field. We offer a competitive, family friendly total rewards package. we'design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer

Responsibilities: Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG). Implement scalable machine learning models and algorithms to solve complex challenges. Research and integrate the latest AI tools and frameworks into existing systems. Stay up-to-date with advancements in AI/ML research and apply them to practical problems. Experiment with and implement Generative AI technologies across multiple domains. Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments. Utilize open-source large language models (LLMs) such as LLama3 in AI application development. Key Skills: Strong understanding of Agentic AI concepts and applications. Hands-on experience with Retrieval-Augmented Generation (RAG) models. Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with Large language models (e.g., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems. Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index. Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure). Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Experience with model optimization, fine-tuning, and inference strategies to improve system performance. Preferred Skills: Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Background in computer vision and image generation techniques. If you're passionate about AI/ML and excited about contributing to the future of intelligent systems with Generative AI technologies, we encourage you to apply! Join us in shaping the next generation of AI-driven innovation.

AI Project Manager1 Lead cross-functional teams (engineering, data science, product, QA) to deliver AI-driven solutions on time and within budget. Manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. Translate complex AI technical requirements into actionable project plans. Ensure adherence to Agile/Scrum methodologies and AI project lifecycle best practices. Collaborate with clients to define success metrics, KPIs, and ROI for AI projects. Drive continuous improvement by integrating feedback and post-implementation reviews. Mentor junior project managers on AI project delivery frameworks. Required Qualifications: Minimum 10 years of hands-on project management experience. 3+ years specifically managing AI/ML, NLP, or Computer Vision projects (e.g., model deployment, data pipeline integration, or AI product development). Proficiency in Agile/Scrum , JIRA, Confluence, and project planning tools (e.g., MS Project). Technical understanding of AI concepts (machine learning lifecycle, data preprocessing, MLOps). Experience with cloud platforms (AWS/Azure/GCP) and AI deployment workflows. Strong stakeholder management skills with IT, and business teams. Bachelor’s degree in Computer Science, Engineering, or related field. PMP/CSM certification preferred

Familiarity withAI platformsand understanding of their capabilities and limitations. Experience withNatural Language Processing (NLP)Understanding of RAG,neural networks, and otherAI/ML concepts Ability to design andimplement AI models. Experience with AI/ML frameworks likeTensorFlow,PyTorch, etc Experience with AI andMachine Learning algorithms. Primary Skills Gen AI Machine Learning algorithms. Natural Language Processing (NLP). TensorFlow,PyTorch, etc. Secondary Skills Good Communication

Computer Vision Engineer Experience: 3-5 Years Exp Salary : Competitive Preferred Notice Period: less than or equal to 30 days Shift: 10:00 AM to 6:00 PM IST Opportunity Type: Hybrid (Gurugram, Haryana) Placement Type: Full Time, Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision , Camera Calibration Stupa Sports Analytics (One of Uplers' Clients) is Looking for: Computer Vision Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About DailyRounds /Marrow Stupa is a global sports technology company, driven by our love for table tennis, badminton, padel and pickleball. Our core services include digitized event management systems for sport federations, performance analytics for athletes, OTT for fans and live streaming for betting and media houses. Through our AI enabled video solutions used by national federations and broadcasters, we enhance the viewing experience for fans across the world. About The Role: We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: App Automation Eng Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. What are we looking for - Expertise in RPA tools like Automation Anywhere, UiPath, or Blue Prism.- Advanced knowledge of AI, machine learning, and OCR technologies.- Strong coding skills in Python, C#, or similar languages for custom integrations and enhancements.- Proficiency in integrating OCR solutions like ABBYY, Tesseract, Google Vision, or AWS Textract with RPA platforms.- Ability to design scalable automation architectures that use AI for cognitive tasks.-Stakeholder management-Good communicationFlexible Roles and Responsibilities: - Lead the design and implementation of AI-powered RPA solutions.- Oversee the integration of OCR technology to handle unstructured data within RPA workflows.- Provide technical leadership and mentoring to junior developers.- Conduct performance tuning and ensure that the AI/OCR systems are scalable, reliable, and performant.- Work closely with business stakeholders to identify automation opportunities.- Conduct advanced troubleshooting and resolve complex automation issues. Qualification Any Graduation

Excited about robotics, and how it will be used in our everyday lives? The Amazon Consumer Robotics group is pushing the boundaries of what s possible, making the future closer than ever. Astro is Amazon s first household robot to use AI and Intelligent Motion to gracefully and intuitively interact with people and spaces. It is a different kind of robot, one that s designed to help customers with a range of tasks like home monitoring and keeping in touch with family. It brings together new advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing in a package that s designed to be helpful and convenient. Work on defined set of instructions to collect ground truth data for the product development. Perform execution and report results accurately. Understand procedures and guidelines for new tasks / releases Perform repetitive exercises based on the dynamic instructions without compromising on quality Use software tools for data capture and comply with the processes of the organization on a daily basis Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines. Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA s Own the daily targets against internal and external dependencies. - Bachelors degree - Speak, write, and read fluently in English - Knowledge of Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience and familiarity with US culture