1125 Computer Vision Jobs - Page 41

Roles & Responsibilities: Design, develop, and optimize computer vision models for tasks like object detection, image segmentation, and video analysis. Implement machine learning algorithms and techniques using Python frameworks (e.g., TensorFlow, PyTorch, OpenCV). Preprocess and augment image/video datasets for model training and testing. Perform exploratory data analysis to extract insights and refine data pipelines. Collaborate with DevOps and engineering teams to deploy machine learning models into production environments. Set up monitoring and performance evaluation for deployed models. Contribute to CI/CD pipelines for AI workflows. Work closely with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals. Document processes, models, and experiments effectively. Requirements: Proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, OpenCV). Strong understanding of computer vision concepts such as feature extraction, image classification, and object detection. Hands-on experience in developing and training deep learning models for image and video data. Basic knowledge of MLOps practices, including model deployment (e.g., Docker, Kubernetes) and monitoring. Familiarity with version control systems like Git. Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML workloads.

Are you inspired by inventionDo you like building end to end automated solutions to drive Amazon digital products improvementWant to dive deeper about how customer experience can be measured by machine learning and computer vision technology We are looking for a Senior Software Development Engineer to lead this exciting new innovative program in India. We build the automated products to measure the customer experience and digital products performance on the devices around the world. You will be responsible for designing, developing, testing, and deploying sophisticated engineering systems for measuring customer CX. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers. You will focus on driving the next wave of innovation to measure the digital experience in terms of latency and quality. You will lead the team to expand the automation with AWS IoT, and strive for exposing the visual / audio analytic capability as self-service. You will lead the team to leverage AI and quantitative analysis to challenge conventional wisdom with hard data. - Leading the design, development, and maintenance of systems, ensuring they meet Amazon s growing scale. - Work with technical stakeholders from across the company to solve big problems, align on technical direction, and make sure our systems continue to meet their evolving needs. - Grow the junior developers on the team and set a high bar for engineering best practices. About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon - for every customer (E.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientist, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelors degree in computer science or equivalent

Generating high-quality data is the core problem our business solves. Our goal is to make the production and delivery of high-quality data a seamless and efficient process for operators and customers. Our Operator Group is building customer and operator specific infrastructure to deliver high quality data with low turnaround time. Youll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model building organizations in the space. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. Youll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. Youll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 5 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Culture: Join a passionate team of engineers and AI experts in a fast-paced, collaborative environment. We value innovation, continuous learning, and a commitment to pushing the boundaries of whats possible in AI data infrastructure.

Primary Skill: Managing clients, cross-selling, and up-selling products and services, Strong understanding of AI, computer vision, and cybersecurity concepts, i ncrease revenue, Manage the entire sales process from lead generation to closing deals from existing accounts Working Timings- 9:30 AM to 6:30 PM Qualification: Any Graduation Key Responsibilities: - Manage and nurture relationships with existing BFSI clients to ensure customer satisfaction and loyalty. - Handle renewals of our products and services to existing clients. - Develop and implement strategies to achieve sales targets and increase revenue from existing accounts. - Identify opportunities for upselling and cross selling our solutions to meet client needs and enhance their experience. - Work closely with the sales and technical teams to deliver customized solutions and ensure client success. - Conduct regular meetings, reviews, and presentations with clients to maintain strong relationships and address any issues or concerns. Also provide insights and feedback from clients to help improve products and services - Conduct independent product demonstrations, presentations, and consultations. - Collaborate with internal teams to ensure the successful delivery of solutions and services. - Monitor and report on account performance and key metrics to management. - Stay updated on industry trends and competitive landscape to identify opportunities for growth. - Lead proof of concepts to showcase the capabilities of our solutions to clients. - Participate in industry events, conferences, and trade shows to promote our solutions and generate leads. - Manage the entire sales process from lead generation to closing deals, including techno-commercial proposal preparation, negotiation, and contract management. - Provide regular sales forecasts and reports to management, highlighting key metrics, pipeline status, and opportunities for improvement. - Achieve or exceed quarterly and annual sales targets. xbiz Qualifications: Education & Experience: - Bachelordegree in business, Information Technology, or a related field. - Proven track record of at least 4 years in account management within the BFSI sector. - Experience in renewals, cross-selling, and up-selling products and services. - Strong understanding of AI, computer vision, and cybersecurity concepts and technologies. Technical Skills & Competencies: - In-depth knowledge of AI, computer vision, and cybersecurity frameworks and standards. - Proficiency in using CRM software and sales tools (e.g., Salesforce, HubSpot, Zoho). - Proficiency in using Microsoft Office tools MS Excel, PowerPoint, Word. Personal Attributes: - Excellent communication, presentation, and negotiation skills. - Ability to understand and articulate complex technical solutions to non-technical audiences. - Strong problem-solving skills and ability to work independently and as part of a team. - Self-motivated, results-oriented, and customer-focused.

Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails Mandatory Skills: Desktop Imaging. Experience3-5 Years.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education Requirements RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry 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. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. General Summary As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications 7+ years software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Mandatory skills of C/C++ programming and operating systems. Experience with Camera drivers and controllers, preferably with Linux V4L2 driver model. Working knowledge of MIPI-CSI-2 and PHY specification; Working experience with bus protocols such as I2C/SPI. Experience in driver design and implementation with multiple camera vendor sensors such as - Sony, Aptina, OmniVision; Experience with FPDLINK/GMSL2 serializer/deserializers, CVBS, analog cameras. Familiarity with camera imaging pipeline such as 3A (focus/white balance/exposure), HDR, color correction, etc., is a plus. Exposure to Video pre- and post-processing algorithms, motion compensation & estimation, deinterlacing, etc., for subjective quality enhancement is a plus. Knowledge of computer vision, Video Analytics (facial recognition, object recognition) is a plus. Knowledge of one or more Real-Time Operating Systems is preferredwhich includes Android, QNX, Embedded Linux. Solid understanding of ARM assembly language and low-level software/hardware interface design, JTAG based debugging is a plus. Exposure to Hypervisors and Virtualization is a plus. Fluent in industry standard software development toolsdebuggers, code revision control systems (GIT, Perforce), IDEs and build tools. 10+ years Software Engineering or related work experience. 2+ years in a technical leadership role with or without direct reports. Possess 3-yrs to 7-yrs of experience in embedded software development. Good work experience in embedded software and/or driver development. Candidate should be detail-oriented and have strong analytical and debugging skills, strong communication skills (written and verbal), working with teams across multiple time zones. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

Job Title:GenAI Specialist Experience4-8 Years Location:Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

Job description: NPCI Data Analytics team is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in modelling complex problems, uncovering insights, and identifying new opportunities using statistical, algorithmic, mining, and visualization techniques. You will be focused on utilizing NPCI product data and analytics to solve business problems by applying machine learning and deep learning techniques, conducting statistical analysis, and building high-quality predictive systems that are integrated with our services. Education and experience: BE/ B. tech with minimum 7 years of experience with 5+ years in the development, adoption and implementation of Data Science technology in relevant processes of the organization. Job Responsibilities: Interact with cross-functional teams to foster a data-driven payments organization. Work on big data systems such as SQL and Spark for feature generation and data processing. Build and compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models. Analyze various data sources to generate reports and insights, both at the aggregate and model level, and present these results to a non-technical audience. Identify opportunities to create and automate repeatable analyses or build self-service tools for business users. Develop deep learning models for large scale. Design experiments, test hypotheses, and build, train, and deploy various models using traditional datasets and graph data. Attitude: Possess strong interpersonal and influencing skills with good stakeholder engagement Excellent analytical and communication skills High personal drive; result oriented; makes things happen Ability to work on complex projects with distributed teams and tight timelines Fast paced and prompt Achievement oriented Energetic and Enthusiastic & Self-motivated

Key Responsibilities: 1. Independent POC Development: Research, experiment, and build prototypes using AI tools and frameworks to explore and demonstrate new technologies, particularly in AI domains such as machine learning, natural language processing, and computer vision. 2. Feature Development on Existing Products: Collaborate with the development team to enhance existing products by incorporating new features, including AI-powered functionalities. Understand the product roadmap, follow best practices in software development, and contribute meaningful improvements. Skills Required: Solid understanding of AI and machine learning concepts Proficiency in programming languages such as Python, Java, or JavaScript Strong analytical and problem-solving skills Ability to work collaboratively in a dynamic and fast-paced environment.

Experience:- 3-10yrs Work mode – Currently this is remote (WFH) but it’s not permanent WFH , once business ask the candidate to come to office, they must relocate. Mandatory Skills:- NLP, DS, Python , SQL, Computer Vision Required Candidate profile • 4+ years of hands-on experience with Python and SQL (R is a plus) • 4+ years of data science/analytics experience • Experience with traditional Machine Learning • Experience with Deep Learning

Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Key Responsibilities: Lead the AI CoE team, ensuring alignment with business objectives. Oversee the design, development, and deployment of AI/ML models for financial use cases. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices. Required Experience: 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role. Strong background in AI/ML model development and deployment, particularly in the financial services sector. Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Tech Specifics: Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks. MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines. Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment. Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets. Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration. Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.

Visionify.ai is looking for Computer Vision / AI Engineer (Intern) to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail Join our team to help develop and implement computer vision and AI algorithms for safety applications in industrial environments. Requirements: BS/MS in Computer Science, AI, or related field

Position : Senior AI Engineer Experience Required : 3+ Years Company : Academian (EdTech Domain) Work Location: Pune Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain. Key Responsibilities AI Model Development : Design, train, and deploy AI models for diverse use cases, including: Computer Vision : Image recognition, object detection, segmentation etc. Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc. Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models. RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models. Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.). Open-Source LLM Development : Develop and fine-tune open-source LLMs to cater to domain-specific needs. Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency. Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries. Integration & Architecture : Integrate AI solutions with Vector/Graph db for advanced data relationships and queries. Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models. Leadership : Mentor and guide junior engineers, fostering innovation and skill development. Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals. Infrastructure : Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions. Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development. Best Practices : Establish robust practices for coding, testing, and documenting AI solutions. Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development. Requirements Experience 3+ years of experience in AI/ML Proven expertise in designing and deploying AI solutions in production environments. Technical Skills Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools. In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models . Familiarity with open-source LLM development and deployment Experience with RAG architectures , Graph Databases , and LLMOps practices. Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure). Domain Knowledge Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus. Soft Skills Exceptional leadership and team mentoring abilities. Strong problem-solving skills and excellent communication for technical and non-technical stakeholders. Education Bachelor s or Master s degree in Computer Science, AI, Data Science, or related fields. Why Join Us: Opportunity to lead AI initiatives that shape the future of education technology. Work in a collaborative, mission-driven environment with a focus on innovation. Engage with impactful projects and cutting-edge AI technologies. Competitive salary, benefits, and opportunities for professional growth. Our Offerings for Employee Benefits Health Insurance for Employee+Spouse+Two Children+Parents GPA - For Employee Hybrid working Compliance - PF and Gratuity

Introduction: Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? At Poppulo, we re working on what s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs. We know there s no such thing as a perfect" candidate - we re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. Job Summary We are looking for a SDE 2, Machine Learning Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. At Poppulo, we intend to redefine boundaries and reshape Employee Communications through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. SDE 2, Machine Learning Engineer is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions. As a SDE 2, Machine Learning Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. Key Responsibilities Solve challenges with AI/ML : Design, develop new AI-powered products that deliver the product roadmap. Build AI/ML systems - Build AI and GenAI solutions using existing frameworks and pre-trained models. Extend frameworks or finetune models, when necessary. Productionise full-stack AI/ML solutions : Translate emerging techs like GenAI into innovative, practical solutions that transform customer experiences. Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. Optimise Model and system performance: Fine-tune, optimise training and inference performances. Wider collaboration: Partner with cross-functional teams to demonstrate the impact of ML innovations and bring them to life. Research Savvy : Staying up-to-date with SOTA and industry trends in AI/ML. Technical Skills / Competencies Strong AI/ML background : Experience in developing and deploying real-world ML applications (Computer Vision, Classification, etc.) Foundation in GenAI : Understanding of generative models (LLMs, etc.), prompt engineering RAG, vector databases. Technical Expertise : Proficiency in ML frameworks, shell scripts, databases and programming languages. MLOps experience : Hands-on experience in configuring MLOps on AWS, Azure and GCP. Full-stack expertise : Proficiency in data pipelines, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. Continuous learning : Ability to learn quickly and apply new technologies to solve problems practically. Education & Experience BSc/MSc/PhD in AI, Statistics, Computer Science or a related field At least 4 years experience in a building complex, distributed software and AI systems Strong understanding of entire end-to-end software development lifecycle Who We Are We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that s on the move. We live the Poppulo values each day, as they are key to everything we do. Bring Your Best Self We show up authentically, are self-aware and always strive to be better. See it. Own it. Solve it. We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. Together We re Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. Thats what makes us a team. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. 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Role & responsibilities Develop, implement & fine-tune deep learning AI models for wide range of Computer Vision application including object classification, object detection, segmentation, OCR & NLP Perform data annotation using automation script & preprocessing to prepare high-quality datasets for training our in-house deep learning models. Training of AI models with model inference and evaluate model accuracy & performance metrics using frameworks like PyTorch, Tensorflow Collaborate with software engineers to deploy models in production systems, ensuring scalability, reliability and efficiency. Develop APIs using FastAPI or similar frameworks to enable seamless integration and interaction with deployed models Experience in Deep Learning, Computer Vision, NLP with a focus on object classification, detection, segmentation, OCR & text processing. Pytho , C++, Understanding of deep learning frameworks such as Tensorflow, PyTorc,h or Keras Experience with AI model training,hyperparameters tunin,g and evaluation of large-scale datasets. Data Annotation familiarity & preprocessing techniques to prepare datasets for deep learning models. Version control systems like Git Problem-solving skills, communication skills, collaboration skills, team player AI Model deployment & serving, including the use of APIs and frameworks like FastAPI

Role –Senior Gen AI Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Job Title: Machine Learning (ML) Engineer Location: Mumbai Experience : 3+ years Education : BE/BTech in Computer Science, Electronics, or related field Job Summary : We are looking for an experienced ML Engineer to join our team in Mumbai. The ideal candidate will have a solid foundation in machine learning, computer vision, and deep learning, along with strong programming and communication skills. You will be involved in Applied ML, designing, building, and optimizing ML models for real-world applications. Primary Skills : Strong proficiency in Ubuntu/Linux, SQL, Python Expertise in Machine Learning, Deep learning , Computer Vision Hands-on experience with end-to-end ML workflows Good communication skills both verbal and written Experience working with YOLO (You Only Look Once) object detection framework Good to Have : Familiarity with model quantisation techniques Experience working with Qualcomm hardware or SDKs Experience with CUDA programming

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As an AI/ML Lead, you will manage a team of data scientists, ML engineers, and developers to build AI-powered features, drive PoCs to production, and collaborate with stakeholders to deliver measurable business impact. If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering! Role & responsibilities Lead a team of AI ML engineers, providing technical guidance, mentorship, and support. Collaborate directly with client teams to understand business problems, explain technical solutions clearly, and lead the implementation of AI/ML features while representing 3Pillars technical excellence. Lead technical execution of AI/ML projects from experimentation to production. Translate business problems into AI/ML solutions and manage solution delivery. Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage. Collaborate with product, data engineering, and software teams for integrated delivery. Conduct code reviews, ensure best practices, and contribute to model deployment pipelines. Maintain documentation and model governance as per responsible AI standards. Define project goals, scope, and deliverables in collaboration with stakeholders. Create scalable architecture and robust machine learning systems that meet business objectives of a software product. Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows. Establish best practices and standards for machine learning development within the organization. Monitor and evaluate the performance of machine learning models in production and implement improvements as needed. Stay updated on industry trends and advancements in machine learning technologies. Implement, deploy, optimize AI/ML algorithms and models into production environments. Conduct experiments, perform data analysis, and present findings to stakeholders. Qualifications: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field; a Masters degree is preferred. 8+ years of experience in building AI models with ML, NLP and deep learning. Proven track record of successfully delivering machine learning projects from concept to production. Strong leadership, interpersonal skills, and ability to effectively communicate technical concepts to non-technical stakeholders. Excellent problem-solving abilities and attention to detail. Strong knowledge of AI/ML techniques, algorithms, and frameworks. Experience building and deploying ML models (classification, NLP, forecasting). Experience with cloud platforms such as AWS, Azure, or Google Cloud. Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn. Solid understanding of machine learning concepts, algorithms, and statistical methods. Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.). Knowledge of MLOps practices and experience with CI/CD tools. Good understanding of using LLMs via APIs or fine-tuning open-source models. Hands-on with data prep (Pandas, Spark), feature engineering, model training and tuning. Knowledge of vector stores, embeddings, and LLMOps tools (LangChain, LlamaIndex, etc.). Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.). Exposure to monitoring frameworks ( evidently.ai , whylogs, or custom dashboards). Proven ability to work independently and with a team. Benefis: Imagine a flexible work environment whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. Were big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best. Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries. We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. Thank you, Kiran Dhanak 3Pillar

Role & responsibilities 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) Preferred candidate profile Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

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.