1889 Image Processing Jobs - Page 14

5+ Yrs exp in Computer Vision. Expertise in OpenCV, TensorFlow/PyTorch, Deep Learning. Experience in Design, building, and deploying computer vision models using YOLO, ResNet, CNN, RCNN, OpenCV. Custom model training. Immediate joiner only.

Roles and Responsibility Design and develop artificial intelligence and machine learning models to solve complex problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest advancements in AI and machine learning. Implement automated testing and deployment scripts for efficient workflow. Work closely with stakeholders to understand business requirements and provide technical guidance. Job Requirements Strong foundation in computer science, mathematics, and statistics. Proficiency in programming languages such as Python, C++, or Java. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of natural language processing, computer vision, or reinforcement learning. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

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

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

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

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

At Zessta, ideation and innovation is a tradition, team spirit a culture, and customer oriented approach a religion. With these values we are treading ahead to become game-changers in the arena of next generation technologies. We are amongst the torch-bearing companies in the SMAC solutions space supporting enterprises to adopt the new wave of technology. Our passion lies in building solutions that modernize enterprise processes, simplifies commerce and eases life. We cater to companies across diverse industries and have been fortunate to partner with some of the largest brands across the globe. We believe that satisfied employees and happy customers are the ultimate profit benchmarks and we strive to achieve the same. We offer growth opportunities to committed professionals who believe in visualization and actualizations of their ideas. We are keen on hiring associates who are curious observers, eager learners, and team players. We are looking for people who are passionate about simplifying the complexities of business around them. If you feel you are fit to be a part of this environment, write to us today at careers@zessta.com Responsibilities: - Designing and developing machine learning and deep learning systems according to the requirements. - Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. - Independently handle bug fixes and releases to production. - Verifying data quality, and/or ensuring it via data cleaning. - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world. - Perform self-testing, integration testing and deployment testing. - Deployment of code to production environment following the procedures and standards diligently. - Explore and analyze the suitability of third-party libraries. - Deploying models to production. Skills and Experience: - Proven experience as a Machine Learning Engineer or similar role. - Understanding of data structures, data modelling and software architecture. - Deep knowledge of linear algebra, probability, statistics and ML algorithms. - Good knowledge of data structures and algorithms and implementing them in C/C++. - Working experience with device drivers on Linux specifically related to real-time video streaming pipeline using v4l2, Gstreamer, UVC driver, Nvidia accelerated Gstreamer, low latency video capture. - Ability to write robust code in Python, R and Java. - Knowledge of C Embedded programming is preferred. - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Numpy, pandas, seaborn, scikit-learn, etc.) - Proficiency with a deep learning framework such as TensorFlow or Keras. - Proficiency with OpenCV. - Linux SysAdmin skills. - Git management, source code build and release management. - Ability to select hardware to run an ML model with the required latency. - Experience in Image Processing is preferable. - Excellent communication skills. Education and Experience: - Bachelors or Masters from Premier Institutes preferred. - Experience 3-10 years,

As a Research Engineer-II at Attentive.ai, you will play a crucial role in the AI research team dedicated to revolutionizing the construction sector with state-of-the-art deep learning, computer vision, and NLP technologies. Your main responsibility will involve developing intelligent systems for automated construction take-off and estimation by handling unstructured data such as blueprints, drawings (including SVGs), and PDF documents. Your tasks will encompass various aspects such as contributing to research and development projects focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data. You will be involved in building and enhancing models to extract valuable insights from documents like blueprints, scanned PDFs, and SVG files. Additionally, you will participate in developing multi-modal models that merge vision with language-based features (NLP/LLMs), following the best practices of data science and machine learning. Collaboration with cross-functional teams, including software engineers, ML researchers, and product teams, will be a key part of your role as you work towards translating research concepts into practical applications. Writing clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace will be essential to your success in this position. Moreover, keeping abreast of the latest advancements in computer vision and machine learning and assessing their relevance to the challenges in the construction industry will be crucial. To excel in this role, you should possess at least 3-5 years of experience in applied AI/ML research with a strong emphasis on Computer Vision and Deep Learning. A solid grasp of image processing, visual document understanding, and feature extraction from visual data is necessary. Knowledge of SVG graphics, NLP, or LLM-based architectures would be advantageous. Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace is essential. Hands-on experience with model optimization techniques, version control systems, project tracking tools, and cloud environments is desirable. If you are passionate about building innovative solutions, possess strong analytical and problem-solving skills, and thrive in a fast-paced, agile environment, this role offers you the opportunity to be part of a groundbreaking team at Attentive.ai. You will have the chance to work on a cutting-edge AI solution for the construction industry, gain exposure to real-world AI deployment, and engage in cutting-edge research in vision and multimodal learning. The culture at Attentive.ai fosters ownership, innovation, and growth, providing avenues for rapid learning, mentorship, and career advancement.,

Design, develop, and deploy machine learning and deep learning models for real-world applications. Work on end-to-end ML pipelines — from data collection, preprocessing, feature engineering, and model training to deployment and monitoring

Company: Mercer Description: About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role Senior Computer Vision Engineer Functional Area AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks.Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.Test and refine models and systems based on real-world data and feedback.Evaluate project requirements, plan and manage the roadmap of a project.Present findings and insights in a clear and concise manner to stakeholders.Collaborate and help to integrate and deploy computer vision systems into broader product architecture.Conduct research to stay updated on emerging computer vision technologies and trends.Automate data preprocessing and annotation processes to streamline workflow efficiency.Maintain comprehensive documentation for algorithms, implementations, and evaluations.Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus.Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers.Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.Experience in evaluating computer vision models using relevant metrics and performance indicators.Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.Basic knowledge of linear algebra, calculus, and statistics.Strong critical thinking, analytical, and problem-solving skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Looking for a skilled Technician to join our team at Vijaya Diagnostic Centre Limited, responsible for operating and maintaining CT and MRI machines. The ideal candidate will have 4-6 years of experience in the field. Roles and Responsibility Operate and maintain CT and MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results accurately. Maintain patient records and reports confidentially. Stay updated on new technologies and techniques in medical imaging. Participate in quality control measures to improve patient care. Job Requirements Minimum 4 years of experience in operating CT and MRI machines. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with hospital protocols and procedures. Commitment to delivering high-quality patient care.

Job Overview This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best-practices for hardware verification. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression. Responsibilities Depending on prior experience, the responsibilities of the role can include: Verification ownership of unit level or multi-unit hierarchy or alternatively verification lead of an overall IP (ISP, Display, Video). Architecting verification IP and full verification environments. Reviewing and assessing proposed design changes from a verification complexity point of view. Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and debug. Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance hardware verification efficiency. Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Mentor & support other members of the team. Required skills and experience: Experience in working with constrained-random verification including ownership of a suitably complex verification environment and creating testbenches. Experience developing reusable and scalable code whilst having in-depth knowledge of SV-UVM. Strong scripting skills being able to develop scripts to support new and existing flows. Solid software engineering skills including understanding of object-oriented programming, data structures, and algorithms. Familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. Prior technical and/or team leadership skills required for more senior positions. Nice to Have skills and Experience: Team leadership and mentoring experience. Multiprocessing microarchitecture experience including knowledge of bus protocols (e.g. AMBA APB/AHB/AXI). Past experience in Formal Verification testbenches. Experience in video codec, ISP, or display projects, including knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding, etc. Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508). Experience with Continuous Integration flows. In Return: You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills. Equal Opportunities at Arm Apply Save Job View location Our Hiring Process

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

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 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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

About The Role 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

About The Role 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

Senior Data Science Engineer Pune, Maharashtra, India Work Type: Full Time Sr. Data Science Engineer We are seeking an experienced Data Science Engineer with 6+ years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for a self-driven Data Science Professional to be a key member of our Data AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI Automation). You will work on some of the cutting-edge AI technologies to build meaningful products solutions. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects. Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches Own the end-end process, from recognizing the problem to implementing the solution Develop Computer Vision, NLP, Deep Learning, multi-modal Gen AI based applications demos according to the requirements and needs. Select appropriate datasets and data representation methods. Explore new tools, technologies, frameworks in ML, DL, CV, Gen AI technologies and experiments. Keep abreast of developments in the field. Mentor, guide junior team members What you bring (Skills): 6+ years of end-to-end project lifecycle experience (Analysis, Design, Development, Testing, Deployment Monitoring) in building enterprise grade AI applications Sound knowledge in Linear Algebra, Statistics, Probability Strong Knowledge Experience in Python and Python data science ecosystem : Pandas, NumPy, SciPy, scikit-learn, NLTK etc. Experience with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.) Proficiency in designing, training, and deploying deep learning models for computer vision tasks. Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification . Experience or Strong understanding of vision transformer models architecture, application in Computer Vision problems Sound Knowledge of Generative AI /LLM s models, frameworks, tools technologies. Experience in Prompt Engineering Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing Experience in Cloud-based services such as AWS (Preferred), Azure or GCP Strong Experience in Productionizing / Operationalize the AI models to run in an automated context Strong development experience using Python and SQL (including DB Design Complex query optimizations). Experience with async programming and RESTful APIs (FastAPI) Sound understanding of CI-CD, Containerization Orchestration Excellent analytical, problem solving and communication skills Great if you know (Skills): Experience with Scrum and/or other Agile development processes Exposure to MlOps, LLMOps model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Ability to lead RD and POC efforts . Experience in pre-sales is desirable. A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix: A higher degree of autonomy, startup culture small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary family benefits Performance based career advancement

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 develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 12 years of experience in Large Language Models.- This position is based at our Hyderabad 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 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, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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.- Develop applications and systems using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 3 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of AI and machine learning. 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.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 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 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies such as deep learning and neural networks. You will also work on enhancing user experiences through chatbots and image processing technologies, contributing 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Evaluate and implement best practices in AI and machine learning to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : 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 to integrate these solutions effectively into existing systems and workflows. 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 systems to optimize 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 Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 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, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development of innovative AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education