35 Caffe Jobs

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.,

As an Analytics Engineer, you will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. Your role will involve implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. In this role, you will develop and optimize deep learning models for object detection, semantic segmentation, and classification. You will apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Additionally, you will train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. You will design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Developing algorithms for geospatial data processing, projective geometry, and deep learning on 3D data will be part of your responsibilities. Furthermore, you will optimize computational efficiency for handling large-scale 3D datasets. Staying updated on the latest advancements in AI, computer vision, and machine learning will be essential in this role. You will participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures and transfer academic research findings into real-world AI applications. Extending and integrating AI-based analytics into existing software solutions will be a key aspect of your role. You will develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment, ensuring scalability, performance, and reliability of deployed AI/ML models. Collaborating closely with cross-functional teams, including data scientists, software engineers, and domain experts, will be crucial. You will provide expertise in reviewing scientific literature and algorithm development while also mentoring junior team members. To be successful in this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. You should possess 5+ years of research experience in deep learning, machine learning, or related areas, focusing on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab are required, along with proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, experience with large-scale data processing and optimization techniques, and knowledge of geospatial data processing and projective geometry are also necessary. Strong communication skills and the ability to mentor junior team members will be beneficial in this role.,

Kinara is a Bay Area-based venture backed company with a revolutionary architecture developed based on research conducted at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of Prof. Mark Horowitz and Prof. Christos Kozyrakis. Our game-changing AI solutions are designed to transform what individuals and businesses can accomplish. Our Ara inference processors, in conjunction with our SDK, deliver unparalleled deep learning performance at the edge to enhance and optimize real-time decision-making in scenarios where every millisecond counts and power efficiency is crucial. Kinara's solutions integrate high-performance AI into edge devices to build a smarter, safer, and more enjoyable world. With Edge AI poised for exponential growth, Kinara is poised to play a significant role in this evolution. As a part of our team, you will have the following responsibilities: - Collaborate closely with customers to support and facilitate embedded application development - Troubleshoot and resolve customer-reported issues with high quality solutions - Develop necessary technical user documentation outlining product features - Establish communication plans and processes to efficiently prioritize customer concerns, issues, and features Required qualifications for this position include: - Demonstrated ability to provide effective customer support - Customer-centric approach with a proven track record of conducting root-cause analysis and implementing permanent solutions - Bachelor's Degree in Computer Science or Electronics along with 5-10 years of relevant experience - Proficiency in developing multi-threaded embedded software applications - Proficiency in programming languages such as C, C++, and Python - Strong problem-solving abilities - Excellent communication skills Preferred qualifications that would be advantageous for this role are: - Strong analytical and quantitative skills - Experience in video/multimedia/image processing software development - Familiarity with Neural Networks, AI/ML/DL models, and training frameworks like TensorFlow, Caffe, PyTorch - Experience with vision frameworks including OpenCV, gstreamer, OpenCL, etc. - Knowledge of Driver development in Linux, MacOS, or Windows platforms - Expertise in debugging hardware systems - Ability to work independently as well as in collaborative team settings Joining our team at Kinara, you will: - Contribute to a pioneering team that is shaping the future of AI and edge computing - Engage in innovative projects that address real-world challenges - Have the opportunity to grow within a dynamic and forward-thinking organization - Enjoy competitive salary, benefits, and a supportive work environment Our work culture at Kinara is centered around fostering innovation. Our team comprises technology experts with a holistic perspective and mentors who guide dedicated professionals to tackle exciting challenges. We believe in shared responsibilities, where every viewpoint is respected and valued. Come be a part of our team and make your mark in the tech industry. We look forward to considering your application.,

Research Innovation: o Stay up-to-date with the latest advancements in deep learning, LLMs, and statistical methods. o Conduct experiments to explore new techniques and improve existing models. o Perform applied research and experimentation, validate model performance for accuracy, robustness champion responsible AI practices Deep Learning LLM Development: o Design, implement, and optimize deep learning models and frameworks (e.g., TensorFlow, PyTorch, JAX). o Develop and fine-tune large language models (LLMs) for specific use cases, including natural language processing (NLP) tasks. o Experiment with state-of-the-art architectures (e.g., Transformers, GPT, BERT) to solve complex problems. o Knowledge of Agentic frameworks (Crew AI , llama index etc). o Good knowledge of GenAI framework Statistical Modelling Analysis: o Apply advanced statistical methods to analyse data, validate models, and interpret results. o Develop probabilistic models and leverage Bayesian inference techniques where applicable. o Ensure models are statistically robust and generalize well to real-world data. Data Preprocessing Feature Engineering: o Clean, preprocess, and transform large datasets for training and evaluation. o Perform feature engineering and dimensionality reduction to improve model performance. Model Deployment Optimization: o Deploy deep learning models and LLMs into production environments. o Optimize models for inference speed, memory usage, and scalability. o Implement monitoring and evaluation systems to track model performance over time. Collaboration Leadership: o Work closely with cross-functional teams, including data scientists, engineers, and product managers. o Mentor junior team members and provide technical guidance. Requirements and skills 7+ years in applying AI/ML principles to real world applications Broad NLP knowledge: tokenisation, part-of-speech tagging, dependency parsing, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, Word embedding Experience Computer Vision: o Construction, Feature detection, Segmentation, Classification o object detection, tracking, localisation, classification, recognition, scene understanding Experience to Deep Learning - CNNs, LSTMs, network architecture, network tuning, transfer learning, multi-task learning Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution. Experience to Open source NLP libraries e.g. NLTK, Regex, Stanford NLP, OpenNLP/CoreNLP Very strong grasp of IT concepts with a strong algorithms/data structures background Demonstrated history of building prototypes to win business confidence. Experience in using Keras, Tensorflow, Caffe and/or other neural network development frameworks. Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory. Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase. Should have prior experience in developing APIs, services using either C# or Java. Experience in Develop, implement, and optimize machine learning models using the Microsoft AI Platform (Azure Machine Learning, Cognitive Services, etc.) Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. Experience in selecting features, building and optimizing classifiers using machine learning techniques. Should have good awareness on entire machine learning/ predictive modeling implementation. Additional Qualifications: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of natural language processing (NLP) and computer vision techniques. Familiarity with DevOps practices and CI/CD pipelines for machine learning models. Microsoft Azure certifications (e.g., Azure Data Scientist Associate, Azure AI Engineer Associate). Research business domain and develop use-cases to support enterprise wide AI solutions. Monitor and maintain deployed models, ensuring scalability, performance, and accuracy. Prior experience with data visualization tools, such as D3.js, GGplot, etc.. Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.. Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Basic understanding of the banking industry is value add

As an AI-ML Architect, you will leverage your 10+ years of experience in developing systems software on Windows or Linux to build, train, and optimize neural network data analytics applications. Your hands-on expertise with Deep Learning frameworks such as Pytorch, TensorFlow, or Caffe will be instrumental in enhancing network performance at kernel level for scalability across hardware. You will play a crucial role in developing, training, and tuning Deep Learning software/models while also exploring techniques like Reinforcement Learning, Transfer Learning, and Federated Learning. Your proficiency in Python programming and C/C++ programming, coupled with solid web service development experience, especially in REST API, will enable you to automate deployment, management, scaling, and networking utilizing Dockers and Kubernetes. Experience with Open Vino, One API DPC++, OpenCL, CUDA programming is preferred. Your familiarity with MLOps, Deep learning infrastructure, microservices architecture, and cloud/distributed infrastructure will be key in designing cutting-edge AI solutions. If you are passionate about AI and possess a strong technical background, this role in Bangalore offers an exciting opportunity to drive innovation in AI-ML architecture and contribute to the development of advanced technologies.,

Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelors or Master s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community

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 LearningDeveloped 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: : Generative AI Experience: 3-5 Years

Job Summary We are seeking an Analytics Engineer who will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. This role involves implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. How You’ll Make an Impact (key responsibilities of role) AI & Machine Learning Development Develop and optimize deep learning models for object detection, semantic segmentation, and classification. Apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. 3D Data Processing & Computer Vision Design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Develop algorithms for geospatial data processing, projective geometry, and deep learning on 3D data. Optimize computational efficiency for handling large-scale 3D datasets. Research & Innovation Stay updated on the latest advancements in AI, computer vision, and machine learning. Participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures. Transfer academic research findings into real-world AI applications. Software Development & Integration Extend and integrate AI-based analytics into existing software solutions. Develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment. Ensure scalability, performance, and reliability of deployed AI/ML models. Collaboration & Mentorship Work closely with cross-functional teams, including data scientists, software engineers, and domain experts. Provide expertise in reviewing scientific literature and algorithm development. What You Bring (required qualifications and skills) Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field. 5+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab. Proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with large-scale data processing and optimization techniques. Knowledge of geospatial data processing and projective geometry. Strong communication skills and ability to mentor junior team members.

: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

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 LearningDeveloped 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: Generative AI. Experience:3-5 Years.

We are looking for a skilled MLOps professional with 3 to 11 years of experience to join our team in Hyderabad. The ideal candidate will have a strong background in Machine Learning, Artificial Intelligence, and Computer Vision. Roles and Responsibility Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools. Understand stakeholder needs and convey them to developers. Work on automating and improving development and release processes. Deploy Machine Learning (ML) to large production environments. Drive continuous learning in AI and computer vision. Test and examine code written by others and analyze results. Identify technical problems and develop software updates and fixes. Collaborate with software developers and engineers to ensure development follows established processes and works as intended. Plan out projects and participate in project management decisions. Job Minimum 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK). Strong Python experience. Minimum 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. Ability to provide technical leadership to developers for designing and securing solutions. Understanding of Linux utilities and Bash. Familiarity with containerization using Docker. Experience with data pipeline frameworks, such as MetaFlow is preferred. Experience with Lambda, SQS, ALB/NLBs, SNS, and S3 is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production. Exposure to technologies/tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML.

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

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

The Role and Responsibilities We have open positions ranging from Associate Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

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 LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Generative AI. Experience3-5 Years.

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 LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Google Gen AI. Experience3-5 Years.

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

Data Scientist – 3 – 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 Data Scientist-3 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 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 7 - 10 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. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design 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 preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big 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) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams 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 role1. 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 Websitehttps://www.kotak811.com/

The Data Scientist-3 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 7 - 10 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. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design 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 preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big 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) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams 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)

Job Summary- Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform - AWS, Azure or GCP 5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus 6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. 7. Should be able to mentor and guide mid to large sized teams under him/her Job - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

Job Summary- Data Scientist with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her Job - Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

JOB OBJECTIVE Manager with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. KEY RESPONSIBILITIES Necessary Skills – 6+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 0 to 10 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering 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.