1889 Image Processing Jobs - Page 27

Software Engineer II We are the global technology company behind the world s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role: Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science

The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications. Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design. This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms. They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software. The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments. Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards. .

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. 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 and best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- 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 : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviours. Roles & Responsibilities:- Design and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad.- Fine-tune and deploy large language models (LLMs) for task-specific applications- Integrate tools, APIs, and external systems into agent workflows for enhanced functionality- Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines- Develop robust backend systems for real-time agent inference and data processing- Monitor, evaluate, and iteratively improve agent behaviour, output quality, and latency- Collaborate with cross-functional teams to translate business needs into AI capabilities Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents- Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow- Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings- Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines- Experience in using LangChain, AutoGen, or similar agentic frameworks- Exposure to Docker, REST APIs, and cloud platforms (AWS) Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- 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 : Machine Learning 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 that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various projects that may include deep learning, neural networks, chatbots, and image processing, collaborating with cross-functional teams to deliver innovative solutions that enhance user experiences and operational efficiency. 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 Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to implement and optimize algorithms for various AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Summary: We are seeking a skilled Windows Build and Image Engineer to manage and maintain standardized Windows OS images used across the organization. The ideal candidate will have a strong background in Windows operating systems, imaging tools, automation, and endpoint management solutions such as Microsoft Endpoint Manager Intune, or MDT. Key Responsibilities: Develop, test, and maintain custom Windows OS images (Windows 10/11) for desktops, laptops, and virtual environments. Integrate device drivers (PnP), software applications, and security patches into image builds. Manage and optimize image deployment processes using tools like MDT, or DISM tools. Maintain version control and documentation for all builds and deployment processes. Experience in Microsoft Intune autopilot deployment, profile creation, remediation scripts, defender endpoint security. Experience in patching OEM drivers using dell command utility. Ensure images meet organizational security and compliance standards. Troubleshoot image-related issues during deployment or post-deployment. Collaborate with security, helpdesk, and application teams to ensure compatibility and user experience. Automate build and deployment processes using PowerShell or other scripting languages. Evaluate and test new OS updates, features, and third-party software for inclusion in standard images. Maintain a structured UAT (User Acceptance Testing) process for new builds. Required Qualifications: 5+ years of experience in building and deploying Windows OS images in a corporate environment. Proficiency with imaging and deployment tools such as MDT, WDS, DISM, and Microsoft Intune. Solid understanding of hardware configuration of models like Dell, Microsoft and HP. Knowledge of hardware lifecycle management. Strong knowledge of Windows operating systems (Windows 10/11), and Windows registry. Experience with scripting languages (e.g., PowerShell, Batch). Familiarity with BIOS/UEFI configuration and hardware compatibility during imaging. Incident handlings using ITSM tool like ServiceNow. Experience with managing application packaging and deployment. Preferred Qualifications: Knowledge of Zero Touch or Autopilot deployment. Familiarity with compliance and endpoint hardening standards. Soft Skills: Strong analytical and troubleshooting skills. Excellent communication and documentation abilities. Ability to work independently and as part of a cross-functional team. Detail-oriented with a focus on quality and consistency.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into your projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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 workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R.- Knowledge of data visualization techniques and tools. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- 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 : Machine Learning 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 existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- 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 implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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

Job Description: Optra Scan is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML Developer, you will play a pivotalrole in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare. Key Responsibilities : Design, develop, and implement machine learning algorithms and AI models for digital pathology applications. Analyze large-scale medical imaging datasets and extract meaningful insights to improve diagnostic accuracy and efficiency. Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into our digital pathology platform. Stay updated on the latest advancements in AI/ML technologies and contribute to continuous learning and improvement within the team. Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Mandatory Skills : Minimum. 2 yr of relevant experience Proficient in Python programming Hands-on experience with TensorFlow and PyTorch frameworks Experience in MATLAB for algorithm development and analysis Knowledge of CUDA programming for GPU acceleration Strong background in Image Processing techniques Knowledge of AI/ML technology, NLP, Machine learning object oriented design/development skills Knowledge of image analysis methods, techniques and practices In-depth knowledge of Neural Networks (e.g., CNNs, RNNs, etc.) Familiarity with multithreading and parallel computing concepts. Add On: Excellent communication and presentation skills Ability to multi-task, prioritize and manage time effectively.

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

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 : Python (Programming Language) 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will also explore the integration of generative AI models into your projects, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. 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.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices, including version control and testing methodologies. Additional Information:- The candidate should have minimum 3 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Role & responsibilities We're looking for a visionary AI Research and Innovation Practitioner to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing. Key responsibilities: (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications: digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs Location: Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR

Inviting applications for the role of Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Required Qualifications: Masters or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. 812+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc. Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication, leadership, and team collaboration skills. Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

You will be a Photography Editor at Rani digitalstudio in Virudhachalam. This full-time on-site role requires you to be responsible for photo retouching, image editing, conducting photo research, and photography. Additionally, you will perform video editing tasks and collaborate with team members to ensure high-quality visual content. To excel in this role, you should possess strong skills in photo retouching, image editing, photo research, and photography. Video editing expertise is also essential. Attention to detail, a keen aesthetic sense, and the ability to work effectively in a team setting are crucial. Excellent time-management and organizational skills are a must. Ideal candidates will have experience with photo editing software like Adobe Photoshop, Lightroom, and other image processing tools. While not mandatory, a Bachelor's degree in Photography, Visual Arts, or a related field would be beneficial.,

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.

Job Title:Artificial Intelligence EngineerExperience8-12 YearsLocation:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).3. **NLP**Familiarity with NLP techniques for text generation.4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation.Soft Skills1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI.2. **Collaboration**Work effectively with researchers, engineers, and other team members.3. **Continuous Learning**Stay updated with evolving AI technologies and applications.Qualifications- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.- Proven experience in machine learning, generative AI,

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

As a Software Engineer in the area of Software Engineering, you will be responsible for the development, maintenance, and optimization of software solutions and applications. You will apply scientific methods to analyze and solve software engineering problems, using your strong working experience in Python-based Django and Flask framework. Additionally, you will have experience in developing microservices based design and architecture, along with a solid understanding of programming knowledge in Javascript, HTML5, Python, Restful API, and gRPC API. Your programming experience and object-oriented concepts in Python will be crucial, as well as your knowledge of Python libraries like Numpy, Pandas, Open3D, OpenCV, and Matplotlib. You should also have knowledge of MySQL, Postgres, or MSSQL databases, 3D geometry, SSO/OpenID Connect/OAuth authentication protocols, and version control systems like GitHub, BitBucket, or GitLab. Furthermore, you should be familiar with continuous integration and continuous deployment (CI/CD) pipelines, possess basic knowledge of image processing, data analysis, and data science. Strong communication skills, analytical thinking, and the ability to handle challenges are essential for this role. You must also be a good team player, proactive in suggesting new ideas and solutions, and provide constructive analysis of team member's ideas. Having knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms such as GCP/AWS/Azure would be a plus. In this role, you will work collaboratively with other software engineers and stakeholders, demonstrating your ability to apply your skills and knowledge to achieve team goals. You will be expected to work independently with minimal supervision, delivering accurate and reliable results. Your work will involve original thought and judgment, and you may also supervise the technical and administrative work of other software engineers. If you have more than a year of relevant work experience, a solid understanding of programming concepts, software design, and software development principles, and can work cooperatively with others to achieve team goals, then you may be a great fit for this role. Organizing your time effectively and making decisions based on your understanding of the situation will be key to your success in this position.,

As an Image Analysis Scientist specializing in Image Processing and Pattern Recognition for 2D/3D Biometric Applications, you should hold a graduate degree, preferably a Ph.D., in engineering related to signal/image processing. With 8 to 12 years of experience in algorithm design/development and proven commercial product expertise in at least three of the following fields (2D/3D face recognition, IRIS, Finger print, Behavioral biometrics), you are well-equipped to excel in this role. Having completed at least one product cycle in the biometrics field, you demonstrate a methodical approach and possess the ability to thrive in an environment of innovation within biometric applications. Your proven expertise in biometrics, evidenced through relevant publications, sets you apart in this field. Additionally, knowledge of sensors/AFE and experience in designing/developing image analysis algorithms are essential for success in this position. Proficiency in C/C++ is highly desirable for this role, enabling you to contribute effectively to the development and implementation of image analysis algorithms. Your dedication to staying updated with the latest advancements in the field and your commitment to innovation will drive the success of biometric applications under your purview. If you are passionate about leveraging your skills and experience to make significant contributions to the field of image analysis and biometrics, we encourage you to apply for this exciting opportunity. Please contact Ram at +91 98 1845 4080 / 98 6860 9864 for further details or to express your interest in this position.,

You should have at least 5+ years of experience and be proficient in Computer vision, Image processing, C++, Open CV, and Camera calibration. The job is based in Bangalore, India and follows a hybrid mode of work. As a candidate, you are expected to have experience in software design and implementation, with a strong proficiency in C++ and Object Oriented Analysis & Object Oriented Design Methodologies. Deep theoretical and practical background in Applied Mathematics, Optimization, Signal Processing, and Object/Pattern Recognition is required. Additionally, experience in debugging and bringing up prototype HW/SW systems, including optics, illumination, imaging sensors, and their interactions with motion systems is necessary. Exposure to machine learning techniques such as developing high-level image scene classifiers and adaptive vision algorithms based on feature extraction and data mining is preferred. The ability to construct the entire system from concept development, data collection, real-time implementation to field deployment is a key aspect of the role. You should have hands-on experience in computer vision algorithms and implementation, as well as strong expertise in image processing and Open CV. Proficiency in camera calibration, C++, and basic concepts such as spatial filtering, edge detection, histogram analysis, morphological processing, and pattern matching is essential. This position falls under the IT job category and requires a educational qualification of BE, B.Tech, M.Tech, ME, or MCA. The work location for this role is in Bangalore, India.,

As a Developer for our team based in Pune, you will be responsible for advancing the capabilities of our AI solutions through the application of predictive models. You should possess a strong background in AI and machine learning, with expertise in software development, mathematics, analytics, and effective communication. The ideal candidate will have a minimum of 2 to 6 years of experience in the field, with a certification in Machine Learning being a desirable asset. Your responsibilities will include algorithm development, computer vision, image segmentation, image processing, 3D modeling, object detection, and the application of various machine learning techniques. To excel in this role, you must have a deep understanding of statistics and proven experience with machine learning algorithms. Proficiency in programming languages such as Python is essential, as well as familiarity with DL frameworks like Tensorflow and Torch. Your scientific expertise and practical knowledge of deep learning will be invaluable assets to our team. Previous experience in deploying machine learning models in a production environment, specifically on AWS or Azure cloud platforms, is highly preferred. Familiarity with the Anaconda Enterprise platform, Kubernetes, and GPU-accelerated deep learning models will be advantageous. If you are passionate about tackling complex analytical challenges and have a keen interest in leveraging AI technologies to solve real-world problems, we invite you to apply for this exciting opportunity.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid OverviewEnterprise Tech We create technology solutions for Target at an enterprise scale, unlocking value for our team members, guests, and suppliers. Team Members rely on us to manage $108B+ in revenue, care for our team of 450k+ (pay and benefits), enable 3M+ candidates applying to Target, access to every Target facility, and resolve challenges through our service centers. Guests rely on us every day to quickly and efficiently help them with inquiries such as credit card statements, finding a product, price match, returns, and much more. We ensure guests can leverage their Circle Card to get exclusive benefits. Guests and B2B clients also rely on us to buy gift cards for that special occasion. Suppliers rely on us to assist with financial management, sourcing and procurement processes, compliance and risk assessment processes, coordinating visits for field engineers, providing support for Target+ and Roundel Partners, as well as supporting revenue growth to accelerate vendor acquisition and onboarding for partners. Position Overview: Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives, ensuring high performance and scalability. Performance Tuning & OptimizationIdentify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You: Bachelors degree in Computer Science, Engineering or a related field (Master's degree preferred). Over 6 years of professional experience working with Python programming language in an enterprise setting. Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks (GANs) is highly desirable. Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform). Deep understanding of system architecture principles related to scalability and robust application design. Excellent problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively. Know More Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging