1681 Computer Vision Jobs - Page 49

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomms cutting edge SoC and ML/AI platforms in the industry. Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM Soc Required Skills== 3+ experince with Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA Optimizing kernels for vector Processors Understanding of the basic linear algebra functions used in AI/ML Algorithm design (logic, critical thinking) Performance Evaluation and Optimization of the applications for ARM architecture Inferencing of the ML models written in Pytorch/TensorFlow/Keras Understanding of the typical Open-Source Library framework design Preferred Skills=== Strong Programming skills and deep understanding of the ARM ISA understanding of the algorithms suitable for Vector and matrix accelerators Strong Analytical and debugging skills Good understanding of Optimizing the Linear Algebra algorithms Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field 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.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, catering to unique requirements of XR/IoT/Automotive markets, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Research and develop video algorithms for mobile, IoT surveillance, Automotive and VR/AR applications with performance and power efficiency Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Minimum Qualifications Master's degree in Electrical or Computer Engineering or related field Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Good working experience with C/C++ Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of encoder algorithms such as motion estimation, mode decision and rate control. Experienced in visual quality trade-offs and assessments for video use-cases Experience with Video Pre & Post Processing Algorithms such as denoising, scaling is a plus Experience with Computer Vision and Deep Learning techniques as applied to Video is a plus 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: Looking for "ML framework and AI compiler Engineer" responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization Optimizing model performance for speed, accuracy, and resource efficiency. Integration Integrating AI models with other systems and applications. API Development Creating and maintaining APIs for communication between frontend and backend components. Data Handling Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM "etc is a plus. 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: Responsibilities: Part of video IP systems team and will be responsible for video technology roadmap ; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video algorithms, image quality analysis; video processing and compression trends with standardization committees. Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders . Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation. Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors . Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Research and develop video algorithms for mobile, automotive, compute and VR/AR applications with performance and power efficiency. Minimum Qualifications: Masters degree in Electrical/Electronics Engineering, Computer Science, or related field and 15+ years of systems engineering experience PhD in Electrical/Electronics Engineering, Communications - Signal Processing, Computer Science, or related field and 12+ years of systems engineering experience Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of codec algorithms and flow Solid C/C++ programming, Python scripting skills. Strong communication skills Good analytical and problem solving skills. Preferred Qualifications: HW C modeling experience Image quality evaluation and metric comparisons Signal / Image processing basicsComputer Vision and Machine Learning algorithms for Video Compression and Video/Image processing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices. Contribute to the development and optimization of AI models, using popular frameworks like Pytorch. Build tools and infrastructure for onboarding, debugging and analysis of AI models. Participate in code reviews and ensure adherence to best practices and coding standards. Debug accuracy and performance on devices, addressing any challenges that arise. Collaborate with cross-functional teams to define, design, and ship new features. Own end-to-end development and release of features and lead and mentor a sub-team of engineers. Minimum Qualifications: Bachelors degree in engineering, Computer science or a related field and 5+ years of professional experience in software engineering or related work experience OR Masters degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience Solid understanding of fundamental computer science concepts, general programming principles and practices. 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++. Strong problem-solving skills and the ability to work independently and as part of a team. Basic knowledge of AI concepts and techniques Excellent communication skills and the ability to articulate complex technical concepts. Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends Preferred Qualifications: Experience with machine learning frameworks and tools such as PyTorch, ONNX. Familiarity with Large Language Models (LLMs) and Transformers Familiarity working with Linux systems and hardware devices Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm's XR Technology Systems team is seeking motivated engineers with who will work on driving next generation technologies & platforms enabling the future of Augmented Reality / Virtual Reality / Mixed Reality applications. This team interfaces with product management, platform architecture, technology/IP and software implementation leads. The successful candidate will be responsible for one or more of the following roles Driving technical workstreams across key technology tracks (perception, rendering, composition, reprojection, split-processing, user input interfaces, camera & display processing). Key role here is to have forward looking perspective and identify opportunities for prototyping, demonstrating the system level trade-offs (working with respective technology team(s), helping define the feature goodness criteria from end use case perspective. Collaborating with technology experts to drive strategic direction in cross-functional AR/MR/VR areas. Working with technology, hardware, and software experts to translate use-case requirements into implementation specifications and contributing to reference design planning. Engaging on identifying and scoping new use-cases Early engagement with customers and works on aligning with product management on platform requirements. Working with technology tracks to drive the system level what-ifs/trade-offs and helping with competitive analysis. For this multi-disciplinary role an ideal candidate has experience in AR/VR, computer vision, perception, camera technology, hardware design, SoC architecture, HW/SW partitioning, and/or system modeling (power, performance, thermal). Minimum Qualifications Bachelors degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture 1+ years of system engineering or related work experience Excellent problem solving and communication skills Preferred Qualifications Masters and/or PhD degree in Electrical Engineering, Information Systems, Computer Science 1+ years experience in HW architecture/design with emphasis on areas listed above Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Extensive knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines Experience with system level modeling (performance and/or power) C/C++ programming Keywords Camera, ISP, display, composition, rendering, video coding, computer vision, embedded, multimedia, image, algorithms, SOC architecture, micro-architecture Educational RequiredBachelors, Computer Engineering and/or Electrical Engineering or equivalent experience PreferredMasters / Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking innovations can be accelerated through NVIDIAs platform have been key to this outstanding legacy of technological innovation. Today, we re tapping into the unlimited potential of AI to define the next era of computing. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world! Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experienceIf so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative and hands-on software engineer with a test-to-failure approach who is a quick learner, can understand software and hardware specifications, and build reliable tests and tools in C++/C#/Python to improve quality and accelerate the delivery of NVIDIA products. What you will be doing: QA Prompt Design for Generative AI: Evaluate image/video outputs from generative AI models using thoughtful test prompts and clear quality metrics like realism, coherence, and safety. Automation Tooling: Build and maintain Python-based tools, automation frameworks, and CI/CD test integrations to streamline QA workflows and improve test coverage. Graphics and Gaming Validation: Develop and implement detailed test plans for NVIDIA application software, which includes testing leading PC games. Emphasize NVIDIA features that improve visual quality, performance, compatibility, and overall user experience in authentic gaming environments. What we need to see: B. E. /B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience 5+ years of programming experience in Python/C#/C++ with experience in applying Object-Oriented Programming concepts Automation Expertise: Practical experience with test automation tools (e. g. , Selenium), Git, and integration into CI/CD pipelines. Gaming Hardware Knowledge: Deep understanding of PC gaming, GPU features, and testing on Windows systems; experienced with solving hardware/software interactions. Communication Partnership: Strong critical thinking, clear documentation, and partnership in hybrid, multi-functional environments. QA Leadership: Experience mentoring QA teams or leading structured test planning efforts. Generative AI QA Experience: Hands-on testing or usage of image/video models (e. g. , Sora, DALLE, Stable Diffusion), with Prompt engineering and evaluation of hallucination, relevance, and safety. Ways to stand out from the crowd: Deep AI Evaluation Skills: Designed evaluation protocols for diffusion/video models using structured Prompt testing and perceptual metrics. Computer Vision Background: Strong understanding of image/video quality, human perception, and content alignment in AI outputs. Python ML Libraries: Hands-on experience with AI/ML libraries like PyTorch, OpenCV, PIL, Transformers, and NumPy. GPU Graphics Expertise: Familiarity with NVIDIA technologies (DLSS, G-SYNC, PhysX, or equivalent experience), display drivers, and PC visual quality benchmarks. Proactive Problem Solver: Known for creatively identifying root causes in sophisticated QA issues and working to improve processes. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. Due to outstanding growth, our elite engineering teams are rapidly growing. If youre creative with a real passion for technology, we want to hear from you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.

Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customers requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Role & responsibilities Deep understanding of computer vision principles, best practices, image processing techniques, and machine learning algorithms. Experience in developing and implementing machine vision systems, preferably in the Railroad, Airport, Heavy engineering, and Utilities business domains. Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Architect with 10+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Consultant with 9+ Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Senior Lead with 11+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Roles & Responsibilities: Client Interaction: Collaborate with clients to understand business needs and define AI solutions. Solution Design: Develop AI architectures addressing client objectives and technical requirements. Metrics Definition: Define success criteria and measurable KPIs with stakeholders. Technical Implementation: Guide teams in deploying AI solutions efficiently. Performance Monitoring: Ensure AI model accuracy and recommend improvements as needed. Client Collaboration: Act as the main point of contact between clients and internal teams. Knowledge Sharing: Keep up with Generative AI advancements and contribute insights. Documentation: Maintain detailed technical reports and project records. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder Your Profile Technical Proficiency: Machine Learning Algorithms: Linear/logistic regression, decision trees, random forests, SVMs, neural networks. Data Science Tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras. Cloud Platforms: AWS, Azure, GCP. Natural Language Processing (NLP): Transformer models, attention mechanisms, word embeddings. Computer Vision: CNNs, RNNs, object detection. Robotics: Reinforcement learning, motion planning, control systems. Data Ethics & Responsible AI: Strong understanding of bias in ML, algorithmic fairness, ethical data handling, and transparency. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder presentations. Secondary Skill Set: Domain Knowledge: Understanding of industry applications (healthcare, finance, manufacturing). Project Management: Ability to oversee timelines, milestones, and deliverables, coordinating cross-functional teams. Data Understanding: Strong grasp of feature engineering, preprocessing, and quality assurance.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an 6 Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies. We are seeking an accomplished Generative AI Technical Lead to spearhead the development, implementation, and optimization of Generative AI solutions. As the Lead Developer, you will play a pivotal role in prompt engineering, pipeline creation, workflow establishment, and ensuring the quality of the technical outputs generated by the team. This role requires strong technical expertise in Generative AI, hands-on experience in development, and the ability to lead and guide a team effectively. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Your Profile Roles & Responsibilities: Technical Leadership: Lead a team of developers in the creation, implementation, and optimization of Generative AI solutions. Provide technical guidance, resolve challenges, and foster a collaborative environment. Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Technical Skills & Experience: Programming Skills: Proficiency in Python, capable of developing AI-driven test scripts. Test Automation: Solid experience in test automation practices. Model Evaluation: Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. Evaluation Frameworks: Skilled in designing evaluation frameworks to assess AI model performance, accuracy, bias, and safety. Familiarity with open-source evaluation tools such as DeepEval and similar frameworks. Prompt Engineering & Metrics: Knowledge of prompt engineering and LLM evaluation metrics like perplexity, BLEU, ROUGE, and human evaluation techniques. RAG System Testing: Experience in testing RAG systems, including retrieval quality assessment and hallucination detection. Computer Vision Testing: Familiarity with vision model testing methodologies and image processing evaluation. CI/CD Integration: Working knowledge of Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or Azure DevOps. Preferred Qualifications Evaluation Framework Proficiency: Hands-on experience with at least one open-source AI evaluation framework, such as DeepEval, is essential. Vector Databases & Embedding Evaluation: Familiarity with vector databases like FAISS or Milvus, and experience in evaluating embedding models for tasks such as similarity search and retrieval. Multimodal AI Systems: Understanding of AI systems that process multiple data modalities (e.g., text, images) and the unique challenges involved in their evaluation. Human-in-the-Loop Evaluation: Experience incorporating human feedback into AI evaluation processes to enhance model performance and reliability Perks and benefits Best of Technology Flexible Working Hours Rewards and Recognition Medical Insurance Round the Clock Snacks Paid Time-Off and Vacation

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. -Advanced programming knowledge, including mastery of programming languages such as 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. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an experienced 3+ years of IT experience ( 2 Years in AI/ML/DS Domain). Gen AI Development : Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data. Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters. Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text. Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Your Profile Roles and Responsibility: LLM Development/Deployment Pipeline creation, workflows Study and transform Gen AI PoCs to production grade deployment Design machine learning systems, Run machine learning tests and experiments Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Job Expectations The candidate will be responsible for leading a team of data scientists who provide analytics services for Applied Materials installed base. The deliverables include developing new service capabilities, piloting them, and commercializing them in partnership with Engineering and Service Product Managers. The team will work with field engineers and product engineering teams to understand the requirements, bring forward creative ideas, develop proofs-of-concept, architect, design, develop, and modify algorithms into production code, provide production support, and train end-users. The skill sets in the team include descriptive statistical analysis, predictive statistical analysis using AI/ML, data visualization and analytics process automation, data cleansing, complex image processing, and text processing. Candidate should be willing to learn and adopt semiconductor industry as their career domain. Key Responsibilities Responsible for managing completion of assignments, projects and programs to support Applieds service business. Scope of algorithm development includes research, design, code development, implementation, and proliferation. Execute projects as needed to support the business. Review and monitor progress to milestones on development programs. Develop roadmaps for algorithmic development programs. Oversee algorithmic concept and feasibility for algorithmic modules, including problem statement definition, data gathering, literature review, concept selection, risks, and implementation constraints. Oversee documentation of algorithmic development and deployment, including integration into required systems, user testing, and user training. Oversee software and hardware implementation. Interact with internal and external customers to define gaps, identify opportunities, define program scope and deliverables, and proliferate solutions to the user base. Present to management for project reviews, interact with project stakeholders, run regular cadence meetings and work in alignment with team and organization goals. Responsible for technical development of team, objective setting, and performance management. Develop growth plan for the team, including identification of new areas of impact. Preferred programming and data science skills includePython, C++, Unix, Image Processing, Deep Learning, AI/ML, NLP, GenAI, Text Mining, Database Design and Management, Web Scraping, GPU Optimization. Proficient in business processes and software such as Microsoft Word/ Excel/ Powerpoint/ Teams, Atlassian JIRA and Confluence. Highly organized and detail-oriented. Ability to build and maintain positive and productive inter-departmental working relationships. Ability to work in a cross-functional organization and multitask on multiple projects. Drive team members to deliver programs on time and on budget. Excellent oral and written communication, organizational, analytical, and interpersonal skills. Interest in building a career in the semiconductor industry. Functional Knowledge Demonstrates comprehensive understanding of concepts and principles within own job family and knowledge of other related job families. Business Expertise Applies in-depth understanding of how own discipline integrates within the segment/function. Leadership Manages multiple related teams, sets organizational priorities and allocates resources. Problem Solving Identifies and resolves complex technical, operational and organizational problems. Impact Impacts the business results of a team or area by supporting and funding of projects, products, services and/or technologies and developing policies and plans. Guided by business unit, department or sub-functional business plans. Interpersonal Skills Influences others internally and externally, including senior management. Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials core values. Education Bachelors, Masters, or Ph.D. Degree in Computer Science, Mathematics, or Engineering with a concentration in data science or AI/ML. Experience 15 years of experience Computer Science/ Mathematics/ Engineering background with 15 years of experience in performing statistical analysis, designing and developing Image Processing/ Computer Vision Algorithms, handling and analyzing large volumes of data. Semiconductor background is an added advantage. Prior team leadership experience is required. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Senior Data Science Engineer - Computer Vision Experience: 6 - 7 Years Exp Salary : INR 25-35 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 09:00AM to 6:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision, Deep Learning, Large scale Visual Datasets, MLFlow or DVC, Prometheus Or Grafana Or Sentry, Pytorch, Cloud Server (Google / AWS), Python Good to have skills : CV/AI Research, Healthcare, or surveillance/IoT-based CV applications., Publications in CVPR/NeurIPS/ICCU, Stakeholder Communication, TensorRT, Work in domains such as retail analytics Radius AI (One of Uplers' Clients) is Looking for: Senior Data Science Engineer - Computer Vision who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Senior Data Science Engineer Computer Vision Job Summary We are seeking a highly skilled and forward-thinking Senior Data Science Engineer to lead the development of advanced computer vision models and systems. You will play a pivotal role in designing, training, and deploying deep learning models, with a strong focus on real-time inference and edge deployment. The ideal candidate will bring hands-on experience with state-of-the-art architectures and have a deep understanding of the complete ML lifecycle from data acquisition to deployment at scale. Key Responsibilities Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. ¢ Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. ¢ Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. ¢ Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. ¢ Automate experimentation and deployment processes using CI/CD workflows. ¢ Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. ¢ Monitor, debug, and enhance model performance in production environments. ¢ Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Required Qualifications ¢ 67+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. ¢ Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. ¢ In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems ¢ Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. ¢ Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). ¢ Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). ¢ Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. ¢ Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Preferred Qualifications ¢ Experience working in fast-paced startup environments with ownership of production AI systems. ¢ Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. ¢ Experience with video analytics, real-time inference, and event-based vision systems. ¢ Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: RadiusAI is a pioneering computer vision analytics company revolutionizing retail operations with advanced, human-centric AI solutions. We offer the world's most advanced VisionAI checkout and we provide real-time data to improve operational efficiency across the entire retail industry, focusing on enterprise-level customers and secure edge integration About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting edge solutions in vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Key Responsibilities: Develop and Optimize Vector Search Systems: Implement advanced vector-based search algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable high-performance retrieval systems. Design Semantic Search Solutions: Apply semantic similarity techniques to enable precise and context-aware search experiences. Research and Experimentation: Stay updated on advancements in NLP, ANN (Approximate Nearest Neighbor) search, and embedding models; experiment with new tools and techniques to improve system performance. Collaboration and Documentation: Collaborate with data scientists, backend engineers, and product teams, and document methodologies and findings effectively. Required Skills Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Preferred Skills Experience with hybrid search techniques combining traditional search (e.g., Elasticsearch, Solr) and vector search. Knowledge of vector quantization techniques for optimized storage and retrieval. Background in information retrieval, knowledge graphs, or recommendation systems. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way.

Preferred candidate profile Proficient in Java, C++, Python, or similar languages. Experience with SQL and relational databases (e.g., Oracle, Data Warehouse). Hands-on in building ML models or algorithms for real-world use. Background in ML, deep learning, NLP, computer vision, or data science. Knowledge of deep learning architecture, training optimization, and model pruning.

Role & responsibilities Architect and implement AI/ML solutions tailored to client-specific business problems using Gen AI (e.g., LLMs like GPT, Gemini, Mistral) and traditional ML models (e.g., scikit-learn, XGBoost). Collaborate with client stakeholders to understand requirements, define problem statements, and translate them into scalable AI/ML solutions. Present demos and proof-of-concepts (POCs) to clients, showcasing the value of AI/ML in real-world scenarios Mentor and guide a cross-functional team of data scientists, ML engineers, and developers Drive best practices in model development, deployment, and monitoring Stay abreast of the latest advancements in Gen AI and ML, and evaluate their applicability to client use cases Contribute to internal knowledge bases and reusable solution accelerators Preferred candidate profile Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with Gen AI platforms and LLMs (e.g., OpenAI, Gemini, LLaMA, Mistral). Proven track record of deploying ML models in production environments (cloud/on-prem). Experience with API development, data pipelines, and dashboarding tools like Streamlit. Familiarity with DevOps and MLOps practices for model lifecycle management. Excellent communication and stakeholder management skills. Tools: LLM, SLM, Vector DB, Graph DB, Airflow, MLFlow, MLOps tools, NLP, KG, ML models (Regression, Clustering, Classification etc), LangChain, LangGraph, AutoGen