1127 Computer Vision Jobs - Page 17

We are looking for a highly skilled Business Analyst with a focus on AI Cognitive at Wipro Technologies, specifically within the TS - DATA ANALYTICS & AI sector. you will be responsible for driving innovation and delivering top-notch AI/ML solutions in the healthcare sector. Your role will involve a wide range of tasks from AI/ML development and deployment to collaboration with cross-functional teams and ensuring compliance with AI ethics and standards. Preferred qualifications for this role include experience in AI/ML in healthcare, proficiency in Python and deep learning frameworks like PyTorch, and expertise in working with cloud development environments such as Azure, AWS, and GCP. You should also have a solid understanding of Generative AI technology, NLP, and machine learning models deployment. Mandatory Skills: AI Cognitive. Experience5-8 Years.

RESPONSIBILITIES Layout, positions, aligns and fits components together using applicable machines, tools and equipment. Bolt, clamp and tack weld parts to secure them in position for final welding. Welding programming on CNC as per the drawing. Select consumables as per the WPS / Work Order details Prior to start welding, check and calibration status of machines and ovens Pre- heat as required by the procedure Start welding and monitor each pass for the welding quality Check and maintain inter-pass temperature as per procedure Record all details required as per the procedure in respective format Record / identify / communicate, in case any NCR noticed Identify the items as required by the procedure Follow safety instructions and notify, if any unsafe conditions noticed. Move all the welded items to PWHT and follow PWHT Procedure Suggest for the improvements through CAR / PAR EDUCATION, EXPERIENCE AND FUNCTIONAL COMPETENCIES ITI / Diploma in welding / cladding with 2-3 years experience. Work experience in operating Automatic Cladding machine Must have experience in SMAW and GTAW welding Must have strong understanding of how to interpret and use drawings, Welding specifications and welding procedure. Must be able use and read welding measuring devices. Must be able to write program for the welding on auto welding Must be familiar with operation of auto Tig machine, Welding torches and accessories Must have experience in welding of oil and gas industry items. Ability to produce quality welds. Ability to visually inspect the weld Ability to analyze the defects and act on elimination of those. Ability to perform repair welds as per the procedure. BEHAVIORAL COMPETENCIES Interest to learn and adopt changes Work with team Contribute to improvements

Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. -Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). -8 years experience in any of the programming languages such as Python/C++/CUDA. -8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. -5 years exp in Image processing -Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) -No job hoppers(candidate must have good stability- min 2 years in an organisation) - No Poach - HCL (current company must not be HCL) ******** -Relocation to Chennai is mandatory Role & responsibilities Preferred candidate profile

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Responsibilities and Impact Accurately annotate and label data to support the development and enhancement of data products across Commodity Insights. Collaborate with business subject matter experts, product managers and developers to ensure annotations align with the requirements of various commodity data products. Utilize custom tools and workflows to efficiently process and annotate data at speed, minimizing manual input where possible. Participate in training sessions to enhance annotation techniques and deepen understanding of commodity insights products. Contribute to the continuous improvement of annotation guidelines and processes, ensuring they meet the evolving needs across Commodity Insights. What Were Looking For: Basic Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Strong attention to detail and ability to work with complex data sets. Familiarity with data annotation tools and processes. Excellent communication skills to collaborate effectively with team members. Ability to work independently and manage time efficiently in a fast-paced environment. Additional Preferred Qualifications Experience or knowledge in commodity markets or related fields. Proficiency in using data management and annotation software. Demonstrated ability to adapt to new technologies and processes. Strong analytical skills and problem-solving abilities.

Responsibilities: * Design, develop, test & maintain full-stack applications using Python, React.JS, Node.JS, NestJS, TypeScript & NextJS with REST APIs on AWS/Azure/GCP cloud platforms. Annual bonus

About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Hiring for AI Developer Position: Full time location: Pan INDIA Intrested candidates share cv to mansoor@burgeonits.com Job Description: We are seeking an AI Developer experienced in designing, building, and deploying AI solutions using Microsoft Azure. The ideal candidate should be comfortable working with Azure AI services, MLOps tools, and Microsoft's machine learning ecosystem. Responsibilities: Design and develop AI/ML models using Azure Machine Learning Leverage Azure Cognitive Services (Vision, Speech, Language, etc.) to deliver intelligent features Develop and automate ML pipelines using Azure ML, Azure Data Factory, and Azure DevOps Work with Azure Databricks for data processing and model training Collaborate with business and tech stakeholders to deliver AI-powered solutions Required Skills: Strong knowledge of Python and Azure ML SDK Hands-on experience with Azure AI tools: Azure Machine Learning, Cognitive Services, Bot Framework Experience with MLOps, CI/CD in Azure (Pipelines, ML Ops) Proficiency in working with Azure Blob, Data Lake, and SQL Database Strong understanding of responsible AI principles and governance Kindly please fill the below details & share updated cv to mansoor@burgeonits.com Name as per Aadhar card Mobile no Alternate no Email id Alternate email (Because most of the mail is showing duplicate portal) Date Of Birth Pan card no(for client upload)mandatory* Total Exp Rev Exp Current company If any payroll (Name) Notice Period (If Serving any Np , Mention last working day & year) CCTC ECTC If Any offers (Yes/No) If yes how much offer &when joining date Current location & Preferred Location Happy to relocate(Yes/No) Available Interview time slots

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.At Target, we have a timeless purpose and a proven strategy and that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, whereTarget 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. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Pyramid overview: Merchandising is a large pyramid within Target responsible for vendor negotiations, product selection, merchandise display decisions and the advertising of merchandise. Merchandising drives profitable market share growth by fulfilling our "Expect More, Pay Less" brand promise. By delivering differentiated product offerings for guests at great values, Merchandising ensures Target stores carry everything guests want and need. Position Overview: As a lead engineer, you serve as the technical anchor for the engineering team that supports a product. You create, own and are responsible for the application architecture that best serves the product in its functional and non-functional needs. You'll bring innovative ideas and help set the strategy for the future of our platform. You love keeping abreast of the latest industry trends and use them to help you innovate. You have leadership qualities, good judgment, and clear communication skills. If youre excited to work on a fast-moving, tightly knit team and build solutions to unsolved problems, we want to meet you. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. As a Lead Engineer, youll take the lead as you Understand Target's business and technical environments and assist teams in resolving complex business challenges via current technical solutions by assessing viability/applicability/cost implication through POCs and prototypes. Collaborate with technical staff and Enterprise Architecture teams in setting technical direction across platform and drive technology lifecycle management and communication of standards/decisions to the engineering team. Understand data platform and help users build their business usecases in seamless way. Lead designing and building the Target platform API with deep focus on non-functional requirements including scalability, availability, performance, etc. while being a strong advocate of extreme agile and DevOps practices across engineers. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: Experience in Java/ J2EE, Kotlin,, SQL/ NoSQL (Postgre, MongoDB, Cassandra, graph structure, etc.), Python, Ruby, Chef, Drone, Kubernetes containers, Cloud tech, etc. 7+ years of software development experience with at least one full cycle implementation Demonstrates strong domain-specific knowledge regarding Targets technology capabilities, and key competitors products and differentiating features Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open source). Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure Communicates and coordinates with project team, partners, and stakeholders Demonstrates expertise in analysis and optimisation of systems capacity, performance, and operational health Understands and develops solutions to foster data lifecycle management Maintains deep technical knowledge within areas of expertise Stays current with new and evolving technologies via formal training and self-directed education Experience in building highly scalable distributed systems Understands business fundamentals and how technologies can support business goals along with how to translate business vision into a technical strategy while understanding financial implications and bringing in operational efficiency Has good exposure of how to evaluate 3rd party software packages to align with business needs and also carve out a strategy of Build + Buy possibilities to deliver business requirements with speed, quality and future scalability. Experience in Mainframe decommission strategies and initiatives will be a plus. 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/diversity-and-inclusion

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The successful candidate(s) will be responsible for: Development and productize various video solutions on Qualcomm processors Enhance video, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of video, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm Video solutions. Skills/experience Recent and relevant experience of 6-10 years required in one or more of the following areas: Embedded systems domain Solid C programming skills, multithreading and OS concepts\fundamentals Collaborate with cross-functional teams to design, implement and debug video\multimedia features for mobiles. Good analytical and problem-solving skills. Able to guide team members on assignments Able to lead team of 2-5 engineers, handle task assignments, decide strategy for the team Has good decision making, resource planning skills Preferred Skills Good understanding of signal processing, video compression\codecs (Encoder + Decoder) and other video pre/post processing algorithms. Any of the multimedia (Video, Camera, Computer Vision) domain experience. Hands on knowledge\experience on H.264\HEVC\VP9\MPEG family video codec(s) development, porting and optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 12+ years of Systems Engineering or related work experience. 8+ years of 4G/5G/6G systems and associated cellular standards (e.g., 3GPP NR, LTE, LTE, 3G). 3+ years of experience working in a large matrixed organization. 2+ years of supervisory experience. 2 + years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). 1+ year in a technical leadership role with or without direct reports. Principal Duties and Responsibilities: Leverages advanced Systems knowledge and experience to research, design, develop, simulate, and/or validate critical systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Performs highly complex functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes highly complex system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with cross-functional teams (e.g., product management teams, engineering teams, etc.) to complete project work, including implementing and verifying the system. Develops algorithms and works on new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of highly complex problems at the system level to determine root cause and presents results of testing and debugging to internal and external stakeholders. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Skills/experience: Recent and relevant experience required in one or more of the following areas: 3-6 years of experiences in image processing/computer vision/video domain. Good understanding of image processing and computer vision fundamentals.. Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization Experience in optimizing the image processing kernels on x86/ARM-Neon/DSP or Any VLIW based architecture. Solid C\assembly programming skills, multithreading and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement and debug CV\multimedia features for mobiles. Good analytical and problem solving skills. Exposure to OpenCV APIs is a plus. Responsibilities: The successful candidate(s) will be responsible for: Development and productize various CV solutions on Qualcomm processors. Optimize CV algorithms on CPU, DSP & GPUs. Enhance CV, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm CV solutions. Education requirements: RequiredBachelor's/Master’s Computer Engineering and/or Electrical / Electronics Engineering Preferred Masters

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Minimum Qualifications: Experienced candidates (8-12 years) are welcome to apply. Industry experience in image processing, computer vision, machine learning and video domain. Strong motivation and ability in learning new subjects especially in the field of artificial intelligence Excellent understanding of image processing and computer vision fundamentals. Strong programming skills in C\C++, Python, OpenGL Strong multithreading, and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement, and debug machine learning software applications Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal). Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Proficient in OOP principles Knowledge of GPU Programming / Architecture is a bonus Ability to work effectively as part of a global team Responsibilities: The successful candidate(s) will be responsible for: Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis. Design, develop and test advanced solutions for AI processors. Work independently with minimal supervision Provide guidance/supervision to team members Education requirements: RequiredMaster’s Computer Engineering and/or Electrical / Electronic Engineering PreferredPhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning) Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Akridata (https://akridata.ai) is a US-based, Series A-funded startup revolutionizing the quality inspection of manufacturing and infrastructure using cutting-edge Visual AI technologies. The team in India owns all product development and ML activities, providing exciting opportunities to be at the forefront of high-impact work. Responsibilities Ideate and experiment with approaches to address customers AI solution requirements using the platform and algorithmic capabilities. Work closely with customer specific AI solutioning requirements and connect it with the algorithmic capabilities available in the product charting out a plan of action. Participate in discussions with product and backend development teams to harden product requirements and interface decisions. What we are looking for 3+ years of computer vision experience with a proven track record of building production-grade deployments using traditional CV and deep learning techniques. 1+ years of experience with deep learning techniques for image/video data with sound understanding of the concepts, toolsets, and state-of-the-art practices. Strong Programming experience with Python for ML, with knowledge of software development practices towards contributing to a production-quality code base. Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks. Bachelors in Computer Science, Data Science, Statistics, or Mathematics Good to have Masters degree or Phd in Computer Science, Data Science, Statistics, or Mathematics. Experience publishing academic papers and/or implementing prototypes based on ongoing research ideas. Experience with performance improvement of ML models.

Overview AI Engineer \u2013 BFSI Domain Responsibilities Design and implement AI-driven solutions for personalized financial services, customer experience, and document processing (e.g., KYC, claims). Deploy NLP and computer vision models for chatbots, document extraction, sentiment analysis, etc. Work with architects and product teams to productionize AI solutions with scalability and security in mind. Integrate models with BFSI applications ensuring compliance, latency, and auditability. Monitor model performance post-deployment and retrain as needed. Qualifications 3\u20135 years in AI/ML product development. Minimum 2 years experience building production-grade AI solutions in BFSI. Experience with AI Governance and model explainability (e.g., SHAP, LIME) preferred. or customer analytics is a plus. Essential skills Tech Stack Languages: Python Frameworks: TensorFlow, PyTorch, ONNX Tools: Docker, Kubernetes, MLflow APIs: RESTful APIs, FastAPI, Flask NLP: spaCy, Hugging Face Transformers, NLTK DevOps: Jenkins, Azure DevOps, GitHub Actions Cloud: GCP Vertex AI Experience 3\u20135 years in AI/ML product development.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

AI/Python Engineer Looking for a world of opportunities and a fulfilling career? We are seeking an AI and Python Engineers who can work with our team to help us develop and implement AI Products and Solutions for our clients. The ideal candidate will have a solid understanding of AI and Python and be able to apply this knowledge to solve complex business problems. Work youll do Develop and implement AI models (Computer Vision, LLM-Large language model and RAG) and Python tech stack (Fast API, Django, Flask etc) Working with SQL and vector databases like Weaviate, Qdrant, pgvector, postgres, etc Evaluate the performance of AI models and make necessary adjustments. Communicate complex technical concepts to non-technical stakeholders. Stay up to date with the latest AI and Python technologies and techniques. Provide guidance and mentorship to junior team members. Qualifications and Experience Minimum Qualification: 5+ years of experience in AI and related services. Hands on Python development experience. Good knowledge on Data Structures and algorithms. . Bachelor's or Master's degree in Computer Science, Data Science, or a related field Preferred Qualification: Applied AI experience (Solution Implementation exp is a MUST)

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 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.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.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: A.Must Have Skills: Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must 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.C.Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must 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 or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information:- The candidate should have a minimum of 12 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 Bengaluru office. Qualification BEBTECHMTECH

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad/Bangalore About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualification What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Who are we looking for Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst Management Level: 10-Senior Analyst Location: Bengaluru Must-have skills: Prompt Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 5 to 8 Years Educational Qualification: Minimum 15 Years of Education

Job Summary :A professional at this position level within Accenture is expected to bring supply chain industry knowledge along with some level of working knowledge in M/A/G cloud The individual should have exposure to Supply Chain consulting/transformation projects in at least one of the following domains (Planning:forecasting, demand planning/sensing, supply planning, integrated business planning, and S&OP Sourcing & Procurement:supplier B2B, eProcurement, and supplier catalogs; Supply Chain Strategy:network design, sustainability, and control towers; Fulfillment:Inventory management inventory strategy, segmentation, and omni-channel) The individual should have demonstrated problem solving skills to be able to: Understand business requirements, dig into the details, ask right questions, and communicate business problems and outcomes effectively. This individual will be a self-starter who enjoys strategic problem-solving and guiding client requirements, critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details. Work with consultants to define the solution and implementation approach. Good storytelling capability to create impactful pitch decks. Drive execution of internal processes to ensure smooth day to day functioning of the CoE. The individual should have a proven project delivery track record and be able to: Draft proposals, set up objectives and help in drawing an action plan for prospective clients. Apply nonfunctional requirements and technical knowledge in the MAG Cloud domain to drive design of a robust solution. The individual must possess experience in performing: Qualitative and quantitative process assessments to enable a clear lens on enterprise process performance and gaps. Numerical analysis visualization using MS Office tools. Strategic analysis on key capability areas to focus on against market trends and developmentQualification Roles & Responsibilities: 2+ years as business analyst in consulting or startups preferably in supply chain domain Proficient in supply chain components and methodologies. Experience in supply chain solutioning Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms. Demonstrated presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. High level of comfort communicating effectively across internal and external organizations Demonstrated written communication skills Problem-solving skills to identify, escalate, track and resolve issues in time. Strong project management skills and ability to run projects on his own. Effective presentation and public speaking skills. Ability to work in a rapidly changing environment where continuous innovation is desired. Ability to effectively team with others in a large, global organization Analytical skills to bring clarity to complex issues and gather data-driven insights. Excellent communication and interpersonal skills. Cross cultural competence with an ability to thrive in a dynamic environment. Willingness to learn new technologies and apply the learnings on job. Hands on experience of various use case scenarios and challenges in supply chain. Positive attitude and a strong commitment to delivering quality work. Professional & Technical Skills: Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.