61 Caffe Jobs

Role Overview: As the Director of Data Insights & Automation at Statistics & Data Corporation (SDC), your primary responsibility will be to direct the development and maintenance of systems, infrastructure, and personnel to enable reliable, cost-effective automation and machine learning solutions within SDC and for external partners and clients. You will oversee the cleaning, processing, storing, and analyzing of clinical data for the development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms to support better understanding of new therapies" safety and efficacy. Additionally, you will lead software development activities to drive automation across SDC departments, reducing errors and increasing efficiency. Key Responsibilities: - Oversee day-to-day activities involving data science, data engineering, automation, and business intelligence - Develop standard metrics demonstrating model performance, robustness, and validity - Engage with various internal departments to strategically identify areas to apply AI and/or ML for increased process efficiency - Ensure practical deployment of algorithms with minimal resource usage and maximum ease of use - Prototype new ideas/technologies and develop proof of concept and demos - Develop standard operating procedures for the use of artificial intelligence within clinical trials - Communicate roadmap of activities and updates quarterly to executive management - Ensure timelines and delivery are met, raising issues early for any risks - Perform other related duties incidental to the work described herein Qualifications Required: - Experience with AI frameworks such as Tensorflow, MXNet, Theano, Keras, Pytorch, Caffe - Proficiency in Python and software development process with evidence of delivering production-level code - Familiarity with AI algorithms for natural language processing, classification, clustering, dimensionality reduction, anomaly detection - Experience in applying AI to biomedical data analysis preferred - Ability to develop and deliver presentations, and communicate effectively in writing and verbally - Capability to identify issues, present problems, and implement solutions - Good leadership, organizational, and time management skills with the ability to multi-task - Strong interpersonal communication and presentation skills Additional Company Details: Statistics & Data Corporation (SDC) is a specialized Contract Research Organization (CRO) providing top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC offers technology-enabled service offerings to provide clients with clinical services expertise and the necessary technology for successful clinical trials. The company is committed to developing employees, providing growth opportunities, career advancement, flexible work schedules, engaging work culture, and employee benefits. SDC's recognition program is tied to core values, fostering a place of belonging through fun and engaging activities. With a global presence and diverse perspectives, SDC continues to grow and innovate to support client and employee needs successfully.,

Youll create impact by: PhD/masters degree in computer science and from a reputed institute with grass-root experience of at least 3+ years in designing & solving complex problems and deriving actionable insights. Hands-on experience with one or more of the following is a must: Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch Hands-on experience using OpenCV and OpenGL Research, develop and prototype software related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest cases with the best technology option for prototyping and productization. Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms) Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus Knowledge of SaaS fundamentals is a plus Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio. Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles to adoption. Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.

Hello Talented Techie! To solve the biggest challenges of our time, we need inquisitive minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference, and grow in a team of innovators who share your passion for tech. Are you in We are looking for a Research Engineer Introduction With over 1,900 research operatives worldwide, the Technology organization occupies a special position within Siemens R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Technology helps secure the company's technological future and bolster its competitiveness. You'll create impact by: PhD/master's degree in computer science and from a reputed institute with grass-root experience of at least 3+ years in designing & solving complex problems and deriving actionable insights. Hands-on experience with one or more of the following is a must: Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch Hands-on experience using OpenCV and OpenGL Research, develop and prototype software related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest cases with the best technology option for prototyping and productization. Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms) Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus Knowledge of SaaS fundamentals is a plus Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio. Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles to adoption. Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens. Join Siemens: Create a better #TomorrowWithUs! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.

You will be responsible for researching, modifying, and applying data science and data analytics prototypes. Your duties will include creating and constructing methods and plans for machine learning, utilizing test findings for statistical analysis and model improvement, training and retraining ML systems and models as needed, enhancing current ML frameworks and libraries, developing machine learning applications based on customer requirements, exploring, testing, and implementing suitable ML tools and algorithms, evaluating the potential of ML algorithms for application cases and problem-solving, and gaining a better understanding of data through exploration and visualization to identify data distribution discrepancies that could impact model effectiveness in practical scenarios. Your expertise in image processing/computer vision algorithms, deep learning, and machine learning techniques will be crucial for this role. You should possess a strong understanding of advanced mathematics and statistics, especially in calculus, linear algebra, and Bayesian statistics. Experience or understanding of optimizations performed on ML/DNN models, familiarity with machine learning and deep neural network frameworks like TensorFlow, PyTorch, Caffe, and Caffe2, as well as proficiency in Python, C/C++, will be essential. Additionally, self-motivation to learn and explore new areas is highly valued. Ideally, you should have 4 to 10 years of experience in the field. The expected notice period for this position is immediate or up to 30 days. Proficiency in C++, Python, design patterns, system design, data structures, algorithms, embedded C, artificial intelligence, deep learning, and machine learning, along with supported skills in TensorFlow, PyTorch, Caffe, and Caffe2, will be required for successful performance in this role.,

You will implement proof of concepts in Engineering Systems and other innovation field topics where ML / AI technologies can be applied, as well as realize ML / AI product features. Your responsibilities will include coding features, POCs, and/or bug-fixing to deliver solutions adhering to coding and quality guidelines. Additionally, you will be accountable for the implementation of features and bug-fixing, ensuring timely delivery of high-quality solutions. Your role will involve identifying and implementing unit and integration tests to ensure that the solution meets customer requirements and quality and security standards of the product. You will also ensure the integration and submission of solutions into the software configuration management system within the committed delivery timelines. Experience with Large Language Models (LLMs) such as BERT and LLAMA will be beneficial. You will be involved in Language Model Development by utilizing off-the-shelf LLM services like Azure OpenAI for integrating LLM capabilities into applications and developing new language models. Model Training and Evaluation will also be part of your responsibilities, involving training and fine-tuning language models using appropriate machine-learning frameworks and tools. Education: B.E. / B. Tech / MCA/ M. Tech (Computer Science). Experience: - 3+ years of experience in: - Strong programming ability in scripting and object-oriented programming languages, particularly Python. - Strong working knowledge in Deep learning and ML Algorithms. - Strong working knowledge in Tensor Flow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotlib. - Knowledge in Natural Language Processing (NLP) & Deep Learning. - Software Design & Development - OOPS/OOAD methodologies.,

As a part of Kinara, a Bay Area-based venture backed company with a strong foundation in research at Stanford University, you will play a crucial role in revolutionizing AI solutions to enhance the capabilities of individuals and businesses. Your primary responsibility will involve collaborating closely with customers to support and facilitate embedded application development. By developing software applications that showcase Deep Learning use cases, particularly in vision analytics workloads, you will contribute to the advancement of edge AI technology. Additionally, you will be tasked with creating application notes and documentation on software tool flows, as well as conducting performance and power measurement and analysis of Embedded AI systems. Your role will also include devising communication plans and processes to efficiently prioritize customer issues and features. To excel in this position, you must possess a customer-centric approach with a proven track record of root-cause analysis and problem-solving. A Bachelor's Degree in Computer Science or Electronics, coupled with at least 5 years of experience, is required. Proficiency in building embedded software applications and programming languages such as Python, C, and C++, as well as experience with vision frameworks like OpenCV, gstreamer, and OpenCL, are essential qualifications. Strong problem-solving and communication skills are crucial for success in this role. Furthermore, preferred qualifications include strong analytical and quantitative skills, experience in video/multimedia/image processing software development, and exposure to Neural Networks, AI/ML/DL models, and frameworks like TensorFlow, Caffe, and PyTorch. Familiarity with driver development in Linux, MacOS, or Windows platforms, debugging hardware, and the ability to work independently or in collaborative team environments are advantageous. Joining Kinara means being part of an innovative environment that encourages creativity and growth. With a team of technology experts and mentors guiding passionate professionals, you will have the opportunity to work on challenging projects and share responsibilities. Your unique perspective and skills will be valued as you contribute to shaping the future of AI technology. Take the next step in your career and make a mark with Kinara we are excited to review your application and hear your story.,

Youll create impact by: PhD or masters degree in computer science from a recognized institution, with at least 2 years of hands-on experience in designing and implementing algorithms and solving complex problems using Artificial Intelligence Proficiency in one or more of the following technologies is a mandatory requirement: Demonstrated expertise in training deep convolutional and recurrent neural networks with industry-standard frameworks like TensorFlow, Caffe, and PyTorch Demonstrated expertise in demonstrating OpenCV and OpenGL for developing computer vision and graphical rendering solutions Conduct research and prototype development in the areas of object detection, visual tracking, semantic segmentation, human action recognition, 3D scene reconstruction, and Simultaneous Localization and Mapping (SLAM). Hands-on experience working with multimodal data, including audio, video, images, text, and telemetry Experience in image and video processing, analytics, and computer vision, with a strong understanding of available algorithms and model architectures, and the ability to implement them as neededparticularly deep learning algorithms Shows strength in the landscape of foundation models and a proven understanding of their advantages and limitations. Experience in adapting algorithms and architectures for compute-constrained environments and embedded systems is a plus Familiarity with SaaS fundamentals is considered an advantage Experience in solution design, architecture, software packaging using Docker and Kubernetes, and deployment on cloud platforms is a plus Eager to collaborate with multi-functional teams from conceptualization and prototyping to communicating solutions and recommendations to collaborators, while actively shaping the technology roadmap and strategic direction of the portfolio Keep abreast of the latest advancements in artificial intelligence and proactively adopt emerging, pioneering technologies Highly upbeat and committed to going the extra mile to achieve goals, while actively promoting AI innovation both within and beyond Siemens. Join Siemens: We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.

The ideal candidate for the AI/ML position in Bangalore should have a minimum of 6 to 12 years of experience and possess the following must-have skills: - A thorough understanding of AI/ML concepts, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. - Prior experience in working with DL models, specifically in Computer Vision with frameworks like ResNet, YOLO v3, v4, v5, Efficient Det, etc. - Proficiency in developing Computer Vision applications using DL Frameworks such as TensorFlow, Caffe, Torch, and Toolkits like OpenVINO and TensorRT in both C++ and Python. - Conducting Functional, Performance Tests, and Accuracy Tests on DL Models. - Familiarity with Open Source libraries related to Computer Vision, DL Frameworks, and Toolkits including OpenVINO and TensorRT. - Strong programming skills in C++, with knowledge of the latest standards (C++17) and a background in Object-Oriented Programming. - Experience in performance optimization, developing mathematical routines/kernels with strict performance constraints. Additionally, the following skills are considered good to have: - Exposure to Version Control, Software integration, Continuous Integration, DevOps, Build Tools such as cmake, gcc toolchain, MSVC, etc. - Demonstrated ability to troubleshoot and debug problems in complex systems involving multiple proprietary and open-source components. - Experience in programming on Nvidia GPUs and a solid understanding of the usage of cuDNN and CUDA Libraries. If you possess the required expertise and are enthusiastic about working with cutting-edge technology, we encourage you to apply for this position or reach out to us for more information.,

The successful candidate will be instrumental in helping to build, test, and maintain the infrastructure and tools to allow for the speedy development and release of software and updates. You will also be responsible for pushing the limits of a wide breadth of the tools and approaches to AI/Machine Learning for advanced products and systems using video information and IoT systems. Your experience researching and developing new projects with a team will be crucial, as you apply your knowledge and communication abilities to discuss problem requirements and plan new ideas with the team and stakeholders. Your responsibilities will include building and setting up new development tools and infrastructure, designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools. Understanding the needs of stakeholders and effectively conveying them to developers, working on ways to automate and improve development and release processes, and bringing your professional experience in working with video technologies will be part of your day-to-day tasks. You will deploy Machine Learning (ML) to large production environments, drive continuous learning in the AI and computer vision fields, test and examine code written by others, analyze results, ensure system safety and security against cybersecurity threats, and identify technical problems and develop software updates and fixes. Additionally, you will work closely with software developers and engineers to ensure that development follows established processes and works as intended, as well as plan out projects and be involved in project management decisions. To qualify for this role, you must have a minimum of 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK), strong Python experience, and at least 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. You should be able to provide technical leadership to developers for designing and securing solutions, have an understanding of Linux utilities and Bash, familiarity with containerization using Docker, and experience with data pipeline frameworks such as MetaFlow. Exposure to technologies/tools like Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, and DVC/CML is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production will be an advantage. At GlobalLogic, we prioritize a culture of caring, where we consistently put people first. You will experience an inclusive culture of acceptance and belonging, build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, offering numerous opportunities to try new things, sharpen your skills, and advance your career. With interesting and meaningful work on impactful projects, a high-trust organization, and a focus on balance and flexibility, GlobalLogic provides a supportive and enriching environment for your professional growth and personal well-being.,

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Mens T20 World Cup, ICC Womens World Cup, and Men's FIH Hockey World Cup, to name a few. As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidichs AI platforms. Responsibilities - Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms. - Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle. - Designing, building, and maintaining high-performance, reusable, scalable, and reliable code. - Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features. - Demonstrating best presentation skills for showcasing results, team spirit, and effective communication. - Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results. Qualifications, Skills, and Competencies - Pursuing a degree in Computer Science or related field. - Strong understanding of Computer Vision, Deep Learning, and related technologies. - Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch. - Solid grasp in C++, oop concepts, data structures and algorithms. - Experience with Github, Docker or AWS is a plus. Location: Mumbai Reporting To: Product Lead Joining Date: Immediate Interested candidates, please send your CV to careers@quidich.com,

As a Staff Software Development Engineer in System Optimization at Netradyne, you will be responsible for implementing and evolving processes to ensure the efficient and high-performance operation of our in-house designed driver monitoring and assistance technology. Your key responsibilities will include crafting and developing tools, frameworks, and reporting mechanisms for system optimization, streamlining software deployment across IoT devices, enhancing data platforms, and optimizing machine learning models deployed on the platform. Additionally, you will be improving driver monitoring and assistance algorithms to boost system efficiency, managing production inquiries, and ensuring overall application stability in production environments. Your role will also involve effectively conveying highly technical results to diverse audiences. To excel in this role, you should hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization. You should possess exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance. Proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python is required, along with a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV). Experience with ML frameworks like Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX, as well as expertise in embedded platforms, make files, build systems, and familiarity with Jenkins, will be valuable assets in this role. Netradyne is actively seeking talented engineers to join our Analytics team, particularly individuals with a strong educational background and past experience in IoT-related companies. If you have prior experience in IoT-related fields and are passionate about optimizing systems and software development, we encourage you to apply and be a part of our innovative team. Join us as a Staff Software Development Engineer in System Optimization and play a pivotal role in enhancing the efficiency and performance of our cutting-edge technology.,

Qualcomm India Private Limited is seeking passionate individuals interested in accelerating machine learning and artificial intelligence on mobile devices for millions of users to join their Engineering Group. As a software engineer with a machine learning or compiler background, you will play a crucial role in building software platforms that empower users of Qualcomm's silicon to create optimized neural networks and machine learning algorithms. In this role, you will have the opportunity to construct and fine-tune machine learning frameworks, develop compilers and tools, and collaborate closely with Qualcomm's hardware and software engineers to ensure the efficient utilization of Qualcomm's silicon for machine learning applications. Minimum qualifications for this position include a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, proficiency in programming languages such as C/C++, and 0 to 10 years of software engineering or related work experience. Preferred qualifications consist of experience in machine learning frameworks like MxNet, NNVM, TVM, Pytorch, Tensorflow, or Caffe, or expertise in compilers with a keen interest in machine learning. Deep knowledge of software engineering is also highly valued. Candidates must meet at least one of the following minimum qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Software Engineering experience - Master's degree in Engineering, Information Systems, Computer Science, or related field with 1+ year of Software Engineering experience - PhD in Engineering, Information Systems, Computer Science, or related field Additionally, applicants should have a minimum of 2 years of academic or work experience with programming languages like C, C++, Java, Python, etc. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, you may contact Qualcomm at disability-accommodations@qualcomm.com or through their toll-free number. It is expected that all Qualcomm employees adhere to company policies and procedures, including those concerning the protection of confidential information and proprietary data in compliance with applicable laws. For staffing and recruiting agencies, note that Qualcomm's Careers Site is exclusively for individuals seeking job opportunities at Qualcomm. Unsolicited submissions from agencies or individuals represented by an agency will not be considered. Qualcomm does not accept unsolicited resumes or applications from agencies. Please refrain from forwarding resumes to Qualcomm employees or any company location. For further information about this role, please reach out to Qualcomm Careers.,

Following Machine Learning algorithms: Regression ,Time Series,Logistic Regression,Naive Bayes,kNN, SVM,Decision Trees,Random Forest,k-Means Clustering etc. NLP, Text Mining,LLM (GPTs),OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc. Required Candidate profile Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems

Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider, with a mission to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion, gathers sensor data from millions of IoT devices, including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices, and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector utilize insights from CMT's platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers worldwide every day. CMT is seeking a collaborative, customer-committed, and creative data science team member to contribute to the goal of making roads safer by enhancing driver behavior. Responsibilities: - Assist with projects and solutions throughout the full development stages, from data pre-processing, modeling, testing, through roll-out with minimal management oversight. - Write code for debugging complex issues and developing new solutions that will run as part of production systems. - Support customers" requests concerning the production algorithms and ML models and derive deep insights from data. - Utilize independent judgment and discretion to communicate and present data science work within the team and to stakeholders across the organization while collaborating across different teams. - Complete any additional tasks that may arise. Qualifications: - Bachelor's degree or equivalent experience and/or certification in Data Science, Computer Science, Statistics, Mathematics, or Engineering. - 2+ years of professional experience in the Data Science field. - A solid understanding of data science principles, algorithms, and practices, including machine learning, deep learning, statistics, and probability. - Proficiency in software development processes and proven coding skills using scripting languages such as Python, Pandas, NumPy, scikit-learn, and SQL. - Ability to write and navigate code, request data from sources, and code from scratch. - Experience with deep learning frameworks (TensorFlow, Keras, Torch, Caffe, etc.) and knowledge of Big Data infrastructure (Hadoop, Spark, etc.) will be advantageous. - Strong team player and quick learner. Compensation and Benefits: - Fair and competitive salary based on skills and experience, with an annual performance bonus. - Equity may be awarded in the form of Restricted Stock Units (RSUs). - Comprehensive benefits package including Medical, Dental, Vision, and Life Insurance; matching 401k; short-term & long-term disability; and parental leave. - Unlimited Paid Time Off including vacation, sick days & public holidays. - Flexible scheduling and work from home policy based on role and responsibilities. Additional Perks: - Opportunity to contribute to improving road safety globally. - Participation in various employee resource groups like Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness. - Access to extensive wellness, education, and employee assistance programs. - Commitment from CMT to support employees and foster a positive and inclusive work environment. Commitment to Diversity and Inclusion: At CMT, diversity is valued, respected, and essential to success. The company actively seeks candidates from diverse backgrounds to join the growing team, believing that the best ideas come from a mix of perspectives and experiences. CMT is an equal-opportunity employer dedicated to creating a workplace where everyone feels empowered to bring their unique talents and perspectives.,

The successful candidate for this role will play a crucial part in the development, testing, and maintenance of infrastructure and tools enabling fast software development and releases. You will be involved in exploring various tools and techniques in AI/Machine Learning for advanced products and systems utilizing video information and IoT systems. Your responsibilities will include researching and developing new projects collaboratively with a team, effectively communicating requirements, planning new ideas with stakeholders, and applying your expertise in video technologies such as preprocessing, neural nets, and computer vision. Your day-to-day tasks will involve setting up new development tools and infrastructure, writing efficient and reusable code in Python and other relevant languages, understanding stakeholder needs, automating development processes, deploying Machine Learning solutions in production environments, ensuring system security against cyber threats, identifying and solving technical issues, and contributing to project management decisions. To excel in this role, you should have a minimum of 3 years of hands-on experience with AWS services, strong Python skills, at least 3 years of experience in Machine Learning/AI or Computer Vision development/engineering, and expertise in technologies like Docker, Linux utilities, and AWS services. Additionally, you should be familiar with data pipeline frameworks, have experience in deploying Computer Vision/Machine Learning solutions at scale, and possess knowledge of tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML. At GlobalLogic, we prioritize a culture of caring, continuous learning, interesting and meaningful work, balance and flexibility, and being a high-trust organization. You'll have the opportunity to work with collaborative teammates, supportive managers, and compassionate leaders, grow personally and professionally, work on impactful projects, and achieve a healthy work-life balance. By joining GlobalLogic, you'll be part of a trusted digital engineering partner that collaborates with the world's leading companies to drive digital innovation and transform businesses. Join us at GlobalLogic and be a part of shaping the future through intelligent products, platforms, and services.,

Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person.

About Us: Senior Data Scientist - Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer's mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Senior Data Scientist in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role . Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space . 4 - 8 Years of relevant experience in the space . Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams . Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets . Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing . Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus . Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting . Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. Candidate who is able to handle unstructured data with ease preferred . Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus . Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git . Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities . Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) a big plus . Strong communication, partnership and teamwork skills . Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision . A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space . Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC - 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

Youll create impact by: PhD or masters degree in computer science from a recognized institution, with at least 2 years of hands-on experience in designing and implementing algorithms and solving complex problems using Artificial Intelligence Proficiency in one or more of the following technologies is a mandatory requirement: Demonstrated expertise in training deep convolutional and recurrent neural networks with industry-standard frameworks like TensorFlow, Caffe, and PyTorch Demonstrated expertise in demonstrating OpenCV and OpenGL for developing computer vision and graphical rendering solutions Conduct research and prototype development in the areas of object detection, visual tracking, semantic segmentation, human action recognition, 3D scene reconstruction, and Simultaneous Localization and Mapping (SLAM). Hands-on experience working with multimodal data, including audio, video, images, text, and telemetry Experience in image and video processing, analytics, and computer vision, with a strong understanding of available algorithms and model architectures, and the ability to implement them as neededparticularly deep learning algorithms Shows strength in the landscape of foundation models and a proven understanding of their advantages and limitations. Experience in adapting algorithms and architectures for compute-constrained environments and embedded systems is a plus Familiarity with SaaS fundamentals is considered an advantage Experience in solution design, architecture, software packaging using Docker and Kubernetes, and deployment on cloud platforms is a plus Eager to collaborate with multi-functional teams from conceptualization and prototyping to communicating solutions and recommendations to collaborators, while actively shaping the technology roadmap and strategic direction of the portfolio Keep abreast of the latest advancements in artificial intelligence and proactively adopt emerging, pioneering technologies Highly upbeat and committed to going the extra mile to achieve goals, while actively promoting AI innovation both within and beyond Siemens.

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 following: Tableau, 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 following: Natural 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 Mandatory Skills: Python for Data Science. Experience: 3-5 Years.

The Computer Vision Engineer position in Hyderabad requires someone with 3 to 5 years of experience in developing, implementing, and optimizing deep learning models. As a Deep Learning Engineer, you will be responsible for driving advanced AI solutions across various industries by leveraging your expertise in neural networks, data processing, and model deployment. Your main responsibilities will include owning the product development milestones, ensuring delivery to the architecture, and identifying challenges. You will drive innovation in the product, cater to successful initiatives, and establish engineering best practices for core product development teams within the company. In this role, you will be involved in developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores. You will also engage in research and development efforts focused on advanced product-critical computer vision components, such as feature extraction, tracking objects, and sensor calibration. Solid programming skills in Python and C/C++, as well as experience with TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, and various neural networks, frameworks, and platforms are essential. Previous exposure to GPU computing, HPC, cloud services like AWS/Azure/Google, and NoSQL databases will be beneficial. You should have hands-on experience in deploying efficient Computer Vision products, implementing research papers, using dockerized containers with microservices, and optimizing models for TensorRT. Familiarity with NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier, Raspberry Pi, and edge devices is required. Understanding of computer vision concepts like photogrammetry, multi-view geometry, visual SLAM, detection and recognition, and 3D reconstruction is crucial. You will need to write maintainable, reusable code, leverage test-driven principles, and develop high-quality computer vision and machine learning modules. Experience with object detection, tracking, classification, recognition, scene understanding, and deep neural networks is important. Furthermore, knowledge of image classification, object detection, and semantic segmentation using deep learning algorithms is desirable. You should be able to evaluate and advise on new technologies, vendors, products, and competitors. Initiative, independence, teamwork, and hands-on technical expertise are key attributes for this role. If you are ready to contribute to cutting-edge AI solutions and drive innovation in computer vision, apply now and join our awesome squad.,

You will be responsible for solving complex data problems using deep learning techniques in computer vision OR Natural Language processing. Your primary tasks will include delivering production-ready models, meeting project requirements and timelines, identifying success metrics, and monitoring them to ensure high-quality output for the client. Additionally, you will be expected to share ideas and learnings with the team. To succeed in this role, you must have at least 2+ years of working experience with Python programming. Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, and machine learning expertise with exposure to frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet is mandatory. You should also possess a minimum of 2 years of experience in the NLP/Computer vision domain. Exposure to DL Model optimization, transfer learning techniques, and SOTA algorithms in computer vision &/or Natural language processing will be beneficial for tasks like Object detection, tracking, classification, text summarization, etc. Strong verbal and written communication skills for effective interactions with the team and clients are essential. In this role, you will enjoy a fun workplace environment with a flat job hierarchy, flexible work hours, casual dress code, and a disciplined workplace environment. Additionally, you will have opportunities for learning & development, team cohesion, task autonomy, smooth reporting, and extensive training. The company's HR policies include the POSH Act for inclusivity, a flexible leave policy, monthly paid leaves, and bonus & incentives. You will also be motivated through team appreciation, individual awards, performance rewards, and salary appraisals.,

The role at Uber involves working on operational aspects of the business including localizing core products to reflect regional nuances such as surge pricing, safety controls, and trip routing. The team is responsible for curating data, labeling artifacts, and improving algorithms to enhance the quality of trips. The ultimate goal is to reduce the need for manual intervention and incorporate automation to streamline operations. Candidates will be expected to identify problems suitable for machine learning solutions, design and develop ML models, collaborate with backend and frontend engineers for integration, and work with ML Ops team to enhance models. Writing clean, modular code, conducting code reviews, and staying updated with the latest ML technologies are also key responsibilities. Basic qualifications for the role include an Engineering Degree or equivalent in Computer Science, proficiency in programming languages like C++, Java, Python, or Go, knowledge of modern machine learning algorithms, and experience with ML software such as TensorFlow, PyTorch, or Scikit-Learn. Strong problem-solving skills and the ability to work well in a team are essential. Preferred qualifications include at least 5 years of professional software engineering experience, expertise in deconstructing real problems and developing scalable ML solutions, experience with deep learning, and collaborating with backend and frontend engineers to implement solutions effectively.,

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

As an ML Developer with Open CV, your primary responsibility will be to research, develop, optimize, and productize artificial intelligence and machine learning applications. You should possess experience in developing machine learning, text extraction, and image processing solutions. Having a deep understanding of machine learning, text extraction, and image processing techniques is essential. Your role will involve developing machine learning algorithms, text extraction algorithms, and image processing algorithms while also working on optimizing existing algorithms. Proficiency in coding with Python, Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV, or similar tools is required for this position. We expect you to take ownership of your professional development and demonstrate a quick thinking ability. A successful track record in high-performance product development is preferred. The ideal candidate will be innovative, dedicated, and results-oriented. To qualify for this role, you should have 2-7 years of experience in the field and hold a Bachelor's Degree in Engineering or Sciences. If you meet these qualifications and are ready to take on this challenging yet rewarding position, we encourage you to apply.,