1459 Computer Vision Jobs - Page 16

Looking for a skilled professional to join our team as an Assistant in X-Ray at Vijaya Diagnostic Centre. The ideal candidate will have a strong background in healthcare and excellent skills in X-Ray technology. Roles and Responsibility Assist the senior staff in performing X-Ray procedures with precision and accuracy. Maintain equipment and ensure proper calibration for optimal performance. Prepare patients for X-Ray procedures, explaining the process clearly. Collaborate with other departments to provide comprehensive patient care. Develop and implement new techniques to improve image quality and patient safety. Participate in ongoing education and training to stay updated on latest technologies and practices. Job Requirements Minimum 2 years of experience in X-Ray technology or related field. Strong knowledge of X-Ray principles, techniques, and protocols. Excellent communication and interpersonal skills are required for working with patients and staff. Ability to work effectively in a fast-paced environment with attention to detail. Familiarity with medical imaging software and equipment is essential. Commitment to delivering high-quality patient care and maintaining confidentiality.

Position Summary An AI Engineer designs, develops, and deploys artificial intelligence and machine learning models to solve complex problems and enhance business processes. They work on building intelligent systems, integrating AI into applications, and optimizing models for performance and scalability. How Youll Make an Impact (responsibilities of role) Develop and deploy AI/ML models for tasks like prediction, classification, and optimization. Design and implement data pipelines for training and testing AI models. Fine-tune pre-trained models (e.g., GPT, BERT) and build custom algorithms. Integrate AI solutions into applications using APIs and frameworks. Monitor and optimize model performance, scalability, and accuracy. Collaborate with data scientists, software engineers, and business teams. What You Bring (required qualifications and skills) EducationBachelors/Masters in Computer Science, AI, Data Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer, AWS Machine Learning). Experience3+ years in AI/ML development and deployment Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong programming skills (Python, R, Java, or C++). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Familiarity with NLP, computer vision, or reinforcement learning. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark).

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

P1,C2,STS 6+years of Strong hands-on experience in Machine Learning. Experience in Python coding, Data pre-processing , Data Modelling Good experience in Cloud Platfom, Kuberenetes Experience in SQL queries, Snowflake Should be able to perform an Individual role. skills Machine Learning Data Modelling and Analysis SQL Kubernetes

CREQ224603

Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Research Scientist position at IBM India Research Lab is a challenging, dynamic and highly innovative role, where you will be responsible for coming up with new innovative ideas, developing solutions working as a team, building prototypes, publishing research papers and demonstrating the value of your ideas in an enterprise setting. Some of our current areas of work where we are actively looking for top researchers are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Innovative use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, and creating specialized pipelines for various tasks including effective LLM-generated data pipelines. Required education Bachelor's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Gen AI Specialist 4 1. Machine Learning, Deep Learning, and AI Research 2. Generative AI (GANs, VAEs, Diffusion Models) 3. Document Detail Extraction, Feature Engineering 4. Prompt Engineering & Chain-of-Thought Reasoning 5. Python Programming, AI Agent Design 1. Developed and deployed an AI-powered generative tool for extracting structured details from unstructured documents. 2. Implemented chain of thought reasoning techniques to craft optimized prompts for generative AI models. 3. Designed and deployed AI agents to automate complex workflows and improve efficiency. Experience with neural networks, generative models, and advanced AI techniques, Python, GANs, VAEs, diffusion models, Streamlit

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Azure AI Services, Microsoft Azure OpenAI Service and Azure PaaS components. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:- Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS.- Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.- Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.- Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.- Stay updated with the latest advancements in Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search) and Azure Language Services (CLU) integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights.- Must To Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search. Strong experience in LLM frameworks such as Langchain and Semantic Kernel.-Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio). Should have experience in integrating chatbot solutions with multiple channels.- Must To Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio.- Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs and other programming languages such as C#. Experience with different LLMs such as Llama, Mistral etc.- Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence.- Experience with database technologies such as SQL Server and Cosmos DB.- Solid grasp of software testing and quality assurance principles.- Knowledge of DevOps practices. Additional Information:- The candidate should have a minimum of years of experience in software development.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Hyderabad office. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are seeking a visionary AI Research and Innovation Principal to spearhead our efforts in Agentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:- Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.- Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).- Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI.- Overall experience 8-10 years and Relevant experience (post PhD) 5+ years.- Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.- Strong understanding of LLMs and their integration into agentic workflows.- Experience with frameworks like LangChain, AutoGPT, or similar.- Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 15 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 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 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 various 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 field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and systems to optimize performance. 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 for data analysis.- Knowledge of data visualization techniques to present insights effectively. 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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in AI methodologies. 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 mentorship within the team to enhance overall performance.- Evaluate and implement new technologies and tools that can improve team efficiency and project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Proficient in programming languages such as Python or R for data analysis and model development. 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

Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccers machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.

Job Title: AI Software Developer Location: Pune (Hybrid) Budget: Up to 20 LPA Experience Required: 5+ years (Relevant AI Development Experience) Work Mode: Hybrid (On-site & Remote) Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of 4 years of relevant experience in AI/ML development. Strong experience in building software application using Frontend and Backend tools with AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, React, Node or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Hybrid work model based in Pune.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies