5480 Deep Learning Jobs - Page 15

General Summary: Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring Cognition to all connected devices: That means devices that dont just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelors Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

General Summary: Key Responsibilities: Developing AI SW stack components on Qualcomm NPU/Hexagon DSP Processor Evaluating and optimizing neural network kernels runtime performance Working to enable state of the art neural network layers and new AI SW features to meet customer use-cases Working with architecture team to influence our next generation NPU/Hexagon DSP Processor General Summary: The candidate should possess 3 to 10 years of industry experience in embedded software development with deep learning exposure and having expertise in below areas would be preferred:Strong C and Assembly Programming skills with Strong OS & Multi-Processor conceptsUnderstanding of Deep Learning architectures with hands on experience in compute optimizing the layers used thereStrong in mathematical concepts and fixed-point computationsIn depth understanding of Memory management, MMU, IOMMU etc.Embedded software development in C and C++ on ARM, DSP or similar cores.Strong DSP/CPU processor architecture knowledgeExposure to vector processing on DSPGood debugging skills with experience on debugging with Lauterbach JTAG debuggers.Work on challenging customer requirements and issues.Knowledge of Software/Hardware Security concepts is desirable Strong math back ground Fixed point concepts Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronic Engineering, or related field with 3+ years of relevant work experience.ORMaster's degree in Computer Science, Electrical/Electronic Engineering, or related field and 2+ years of relevant work experience.ORPhD in Computer Science, Electrical/Electronic Engineering, or related field with relevant exposure.

Company Description We're a purpose-driven HR tech company helping global enterprises hire faster, develop better, and retain their people longer. Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1700 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! Position Summary Were looking for a Product Development Engineer (ML) to join our team of Phenom. We prefer candidates Capable of building accurate machine learning models Good understanding of NLP. LLMs is a plus Practical knowledge of object-oriented software development Job Responsibilities: Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications. Train NLP models, using both custom datasets and existing available language models, such as BERT, RoBERTA, Spacy and LLM models etc. Build and evaluate models for NLP tasks, such as multi-label classification, NER, Question Answering and text summarization, and produce new solutions based on business requirements. Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, and neural networks. Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks. Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into existing products and services. Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes. Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Job Requirement: Hands-on experience with Natural Language Processing (NLP) or computer vision, or other AI subfields Proven track record as an AI Engineer, with portfolio examples of successful machine learning projects Bachelor's Degree Advanced level knowledge of Python and understanding of good coding practices Experience in NLP and machine learning libraries (e.g.,Transformers, PyTorch, Langchain, scikit-learn) Strong drive to learn and acquire missing skills You love this place: Build your own ideas with a team of innovative and top caliber ML experts from premier institutes like IITs, IIITs in a fun environment Wok on solving unique and hard problem with data science and machine learning Create world-class products and cutting edge solutions Work in an Open Space Environment (no cubicles) We’re global and growing fast. Join us! Must to have skills: Python, Industry experience in ML Should be willing to contribute towards end-to-end product development like deployment, DevOps, support, monitoring etc Good to have skills: GenAI/LLMs, Langchain, vector databases Pytorch, Deep learning

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional Requirements: Primary skills:Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python Preferred Skills: Technology->Big Data->Natural language processing(NLP) Technology->Machine Learning->Python Technology->Artificial Intelligence->Computer Vision Technology->Machine Learning->Generative AI

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Key Responsibilities Lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. Own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Architect and implement models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborate cross-functionally with product, engineering, and MLOps to translate business needs into scalable ML solutions. Leverage LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences. Champion model performance, interpretability, and reproducibility across varied domains. Contribute to reusable AI/ML tooling, pipelines, and best practices to improve development velocity Basic Qualifications Masters or PhD in Computer Science, Machine Learning, Statistics, or related field 5+ years of dedicated hands-on experience developing and deploying ML models at scale 2+ years of experience managing or mentoring data scientists or ML engineers Proficiency in Python and familiarity with languages like Java Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering Experience with model deployment tools (e.g., FastAPI, Docker) and cloud ML platforms (AWS/GCP/Azure) Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders Preferred Qualifications Deep expertise in GenAI, NLP, time-series forecasting, or recommender systems Experience with LLM frameworks (e.g., OpenAI APIs, LangChain, Hugging Face Transformers) Proven success in deploying production-grade ML systems and managing MLOps workflows Track record of thought leadership via publications, patents, or internal innovations Ability to thrive in fast-paced, ambiguous environments with high autonomy

General Summary: Architects, designs, implements, verifies, and optimizes various performance and power features of GPU cores. Responsible for building functional modeling simulations, developing software, tools, and tests for ray tracing graphics, running benchmarks for different applications Minimum Qualifications: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field. Job Description Qualcomm is the largest fabless design company in the world. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Our chipsets power a variety of products; tablets, smartphones, e-readers and other devices, and our digital design team is at the core of all of them. Depending on your technical area, you will be responsible for becoming a subject matter expert and go-to person for other members of your team. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. Qualcomm's Adreno Graphics Research Team is responsible for research, prototyping, profiling, analysis and optimization of emerging 3D Computer Graphics algorithms such as Ray Tracing, Mesh Shading, Workgraphs to name a few. The team works at the intersection of Computer Graphics and GPU architecture, identifying architectural inefficiencies in existing Adreno GPU hardware (HW) and proposing next-generation GPU HW architectural improvements. Position Overview: - Develop, analyze and optimize emerging graphics workloads. - Build functional models and microbenchmarks to obtain a deeper understanding of underlying GPU HW and make recommendations based on analysis. - Identifying and quantifying performance bottlenecks and resolving the same through either HW or SW (e.g. GPU Compiler or Driver) optimizations. - Work closely with HW Architects to develop new features to define Next Gen GPU Architecture. - Explore emerging algorithms in 3D Graphics domain including literature survey, competitive analysis, research on short comings and propose new changes that benefit Adreno GPU's performance, power and/or functionality. Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science or related field. - 8+ years Systems Engineering or related work experience Preferred Qualifications: - Master's or higher degree in Computer Engineering or Computer Science. - 7+ years of relevant GPU System Engineering or Research experience. - Expertise with Vulkan, DirectX. OpenGL, or OpenGL ES - Familiar with modern PC/console game engine architectures - Familiarity with 3D graphics profilers and debuggers such as Snapdragon Profiler, RenderDoc, Pix, NSight, etc You may e-mail or call Qualcomm's toll-free number found . To all Staffing and Recruiting Agencies :

General Summary: To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would: Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM): o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of: Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field.

Mega Walk-In Drive AI/ML & GenAI Roles at LTIMindtree (3+ Years Experience) Location: Bangalore | Date: Saturday, 13th September | Time: 9 AM onwards Experience: 3+ Years | On-the-spot interviews LTIMindtree is hiring! If you're passionate about Data Science, Generative AI, and building intelligent systems using cutting-edge technologies, join us for our walk-in drive this Saturday in Bangalore. Mandatory Skills Python (Advanced) GenAI, LLMs, RAG, Prompt Engineering NLP/NLG Azure / AWS / GCP Data Science & AI/ML Secondary Skills (Any of the following) Machine Learning, Deep Learning, ChatGPT, LangChain Vector Stores, LLaMa, Transformers, OCR Regression, Forecasting, Classification Hyperparameter Tuning, MLOps, Inference Model Training & Deployment Computer Vision What We’re Looking For 3+ years of experience in Data Engineering, AI/ML, and GenAI Strong understanding of ML algorithms: GPTs, CNN, RNN, SVM, k-NN, Decision Forests, etc. Experience with BI tools (Tableau, PowerBI) and Big Data frameworks (Hadoop, PySpark, Hive) Proficiency in SQL, Python, and familiarity with Scala/Java/C++ Hands-on with TensorFlow, PyTorch, Keras, Pandas, NumPy, etc. Experience with NoSQL databases (MongoDB, Cassandra, HBase, Vector DBs) Strong analytical mindset, business acumen, and communication skills Walk-In Details Date: Saturday, 13th September Time: 9 AM onwards Contact / Application Email: Purbita.Mondal@ltimindtree.com How to Apply Send your resume to Purbita.Mondal@ltimindtree.com . and mention Total years of experience: Relevant years of experience: Current CTC: Expected CTC: Notice period:

Responsibilities: * Develop AI/ML strategies for clients * Conduct workshops, Training sessions on AI & Data Science * Train corporate teams on data science & AI * Collaborate with industry experts * Deliver results through interactive sessions

Job Description Key Responsibilities: Lead Full-cycle Development: Take charge of the complete lifecycle of machine learning models, overseeing conception, prototyping, deployment, and iterative optimization processes to enhance performance and scalability. Architect Solutions: Utilize strong software design principles to build efficient and maintainable ML applications and services that adhere to best industry practices. Collaborative Model Development: Partner with data scientists and stakeholders to address specific business challenges, thoroughly exploring available data for effective model training and evaluation. Implement Data Pipelines: Design complex data processing workflows to ensure efficient feature extraction and model training phases are streamlined. Champion MLOps Practices: Establish solid frameworks for MLOps, including model monitoring, Continuous Integration/Continuous Deployment (CI/CD) processes, and best practices for maintaining production models effectively. Enhance Performance & Scalability: Diagnose and improve the efficiency of deployed models while preparing systems for increased transactional demands. Mentor & Collaborate: Collaborate across diverse teams, nurturing a culture of knowledge-sharing and mentorship while advocating for innovative practices. Stay Ahead of Trends: Keep abreast of the evolving landscape of machine learning and AI technologies, exploring, trialing, and incorporating transformative tools and methods. Documentation & Reporting: Meticulously document processes, model specifications, and workflows to guarantee clear communication and knowledge retention across the team. At Wipro Technologies, we value individuals who are deeply committed to client-centric methodologies and possess a fervent passion for achieving results. Your contributions will not only influence our technologies but also create a ripple effect, pushing the boundaries of what is achievable with applied AI solutions.

You should possess solid knowledge in C++, Python, Computer vision, Deep learning, and Edge devices deployment skills (Open vino, Jetson, snap dragon etc). Your responsibilities will include implementing efficient and optimized algorithms in C++, demonstrating very good knowledge of Algorithms and Data structures, being familiar with Git & Linux CLI, and showcasing good documentation skills. As a Software Engineer at SEC2_IPS_Unit_2_1 in Bengaluru, you will be expected to read and understand Deep learning research papers, train & validate models, implement AI algorithms in C++, deploy the code on cloud or edge devices, port AI models/Algorithms to Edge devices (Nvidia Jetson) and Android mobile, write production level code in C++, prepare technical documentation, write effective and reusable code, test and benchmark AI models, and be self-motivated to learn new skills and technologies as needed. To qualify for this position, you should have a Bachelor or Master of Technology degree with 3 to 5 years of relevant experience. Skills required include Computer vision, Deep learning, C++, Python, and experience working with Edge devices.,

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.,

As a Python AI/ML Developer at Mohali, you will be responsible for designing, developing, and implementing AI/ML models and algorithms to address real-world challenges. Your role will involve working with large datasets, including data cleaning, preprocessing, feature engineering, and exploratory analysis. You will be tasked with building and optimizing machine learning pipelines using Python-based frameworks, as well as deploying ML models into production and monitoring their performance. Collaboration with data engineers, product teams, and business stakeholders to comprehend requirements will be crucial. Moreover, you are expected to research and apply state-of-the-art ML/AI techniques for continuous enhancements and document processes, workflows, and model performance. To excel in this role, you should possess a strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, Matplotlib/Seaborn. A good understanding of Machine Learning algorithms like regression, classification, clustering, and ensemble methods is essential. Experience in data preprocessing, feature engineering, and model evaluation techniques is required, along with knowledge of Deep Learning fundamentals such as Neural Networks, CNN, RNN, with a preference for Transformers. Familiarity with SQL for handling structured/unstructured data and exposure to API development using frameworks like Flask, FastAPI, or Django for ML model deployment are also expected. Strong problem-solving and analytical skills will be valuable assets in this role. About the Company: smartData is a leading global software business specializing in business consulting and technology integrations to simplify, enhance, secure, and add value to start-ups to small & medium enterprises. With over 8000 projects and 20+ years of experience, smartData, with offices in the US, Australia, and India, offers domain and technology consulting, in-house products, and productized services. Their expertise in important industries like healthcare, B2B, B2C, B2B2C platforms, online delivery services, video platform services, and IT services, combined with strong capabilities in Microsoft, LAMP stack, MEAN/MERN stack, and mobility solutions using native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap) mobility stack, along with AI & ML technologies, ensures continuous business growth for their customers.,

As a Manager AI/ML Engineering at Coschool located in Nanakramguda, Hyderabad, you will have the opportunity to join a team dedicated to revolutionizing learning through AI technology. Coschool is committed to creating a next-generation EdTech platform that empowers educators and students to achieve their best through intelligent learning systems. Your role will involve leading and mentoring a high-performing team of AI/ML engineers, researching, prototyping, and developing robust ML models, overseeing the full AI/ML project lifecycle from data preprocessing to deployment and monitoring, and guiding the team in training, fine-tuning, and deploying LLMs using various methodologies. To excel in this position, you should have 7 to 12 years of experience in building AI/ML solutions, with at least 2 years in a leadership or managerial role. A strong foundation in machine learning, deep learning, and computer science fundamentals is essential, along with hands-on experience deploying AI models in production using frameworks like PyTorch, TensorFlow, and Scikit-learn. Proficiency in cloud ML platforms such as AWS SageMaker, Google AI, and Azure ML is also required, as well as familiarity with MLOps tools and practices. In addition to technical skills, excellent problem-solving, communication, and people management skills are crucial for success in this role. A proactive mindset, passion for innovation, and mentorship are qualities that will make you a great fit for the team at Coschool. Preferred skills for this position include experience working with generative AI frameworks, a portfolio of creative AI/ML applications, and familiarity with tools for LLM orchestration and retrieval-augmented generation (RAG). At Coschool, you will have the opportunity to make a real impact by building solutions that directly affect the lives of millions of students. You will enjoy autonomy to innovate and execute with a clear mission in mind, work in a fast-paced, learning-focused environment with top talent, and be part of a purpose-driven company that combines educational excellence with cutting-edge AI technology.,

As an AI Model Validation Engineer at Leadsoc Technologies in Hyderabad, you will be responsible for validating AI models with a strong background in machine learning fundamentals. Your expertise in deep learning, large language models, and recommender systems within the embedded domain will be essential for this role. To excel in this position, you must possess a solid understanding of validation processes, defects, and the software development life cycle. Proficiency in Ubuntu/Yocto Linux is crucial, along with experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Your role will also involve profiling ML workloads and executing validation plans for AI/ML compute stacks like HIP, CUDA, OpenCL, and OpenVINO. Strong python programming skills are a must-have for this position. Ideally, you should have 3-6 years of relevant experience in the field and be available to join with a notice period of less than 15 days. If you are passionate about AI model validation and possess the required skills, we look forward to having you on our team at Leadsoc Technologies. Warm regards, Murali,

As a professional in the field of Artificial Intelligence and Machine Learning, you will be responsible for handling and analyzing large volumes of structured and unstructured data. Your role will involve collecting, preprocessing, and ensuring the quality, integrity, and compliance of the data with industry standards. In addition, you will design, build, and implement AI/ML models to automate tasks, derive actionable insights, and facilitate intelligent decision-making processes. Your expertise will be utilized in developing end-to-end AI pipelines, starting from data ingestion to model deployment and monitoring, using technologies such as Python, TensorFlow, PyTorch, Scikit-learn, and NLP libraries. You will provide advisory and support for AI applications within the organization, offering strategic guidance on the utilization of AI in daily operations. Collaboration with stakeholders to identify AI opportunities and support digital transformation initiatives will be a key aspect of your role. It is essential to ensure that AI systems are scalable, explainable, and aligned with the organization's business goals. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A minimum of 3 to 7 years of relevant industry experience in AI/ML development and data science is required. Proficiency in machine learning, deep learning, NLP, and AI model lifecycle management is essential. A strong analytical mindset, coupled with practical experience in data wrangling, visualization, and storytelling, will be beneficial. Effective communication of technical concepts to non-technical stakeholders is crucial. Familiarity with cloud-based AI platforms such as AWS, GCP, or Azure is considered advantageous. As a preferred candidate, you should be self-motivated with a keen interest in solving complex problems. Being a team player who can also work independently when necessary is highly valued. An eagerness to stay abreast of emerging trends in AI and data science will contribute to your success in this role.,

The company NHRSL is looking for skilled and motivated professionals to be part of the R&D team. As a member of the team, you will be involved in developing software and hardware solutions for current and future robotic platforms. This will include working on cutting-edge machine learning and computer vision algorithms to push boundaries in emerging fields. Your responsibilities will include researching, designing, and creating innovative deep learning architectures and algorithms. You will be expected to evaluate the latest advancements in deep learning frameworks and apply them to optimize technologies for computer vision applications such as object detection, video analysis, and scene classification. Additionally, you will design and enhance deep neural networks for incorporation into commercial robotic products. Your role will also involve promoting the use of machine learning and deep learning solutions in upcoming NHRSL products. Creating prototypes to showcase concepts and collaborating with different business units for product development will be part of your tasks. Writing clean, reusable, and efficient code in Python, C/C++, or other programming languages is essential. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science with a specialization in Artificial Intelligence/Machine Learning or an equivalent field. You must possess a solid understanding of computer vision, machine learning, and deep learning techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), dropout, pooling, etc. Practical experience with deep learning libraries like TensorFlow, PyTorch, etc., is required. Proficiency in programming languages like C/C++, Python, or similar is a must. Knowledge of GPU programming, high-performance computing, or big-data platforms will be advantageous. Previous exposure to integrating machine learning/deep learning in real-time systems, mobile applications, or commercial products is preferred. Effective communication, teamwork, collaboration skills, and a proactive, self-driven attitude are essential for this role. You should also be comfortable working in a fast-paced, results-driven environment.,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. We are looking for a hands-on Staff, Advanced Analytics who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. As a Staff, Advanced Analytics, you will act as a data thought partner to product and business leaders across marketplace teams by providing insights, recommendations, and enabling data-informed decisions. Your responsibilities will include driving day-to-day product analytics, developing analytical solutions, and gaining a deep understanding of how guests and hosts interact with our CS products to enhance the customer experience. Your typical day will involve owning the product analytics roadmap, prioritizing and delivering solutions in the Contact Center Product space. You will lead end-to-end measurement for AI systems, collaborate with engineering on defining scale logging, and evaluate A/B and causal tests to quantify the impact of AI features and optimizations. Additionally, you will translate insights into strategic recommendations for senior leaders, shape product priorities through data, and mentor the team in AI analytics and experiment best practices. To be successful in this role, you should have 12+ years of industry experience and a degree (Masters or PhD is a plus) in a quantitative field. Expert communication and collaboration skills are essential, along with proficiency in Python, SQL, A/B testing platforms, and best practices. You should also have strong expertise in statistical analysis, machine learning techniques, and familiarity with AI systems and observability best practices. Airbnb is committed to diversity and inclusion, encouraging individuals from all backgrounds to apply. We believe that diverse perspectives drive innovation and creativity, enabling us to develop the best products and solutions.,

You are a Quant Trader/Researcher with at least 3 years of experience in the Indian market. As part of our dynamic trading team in Gurgaon, you will be responsible for designing, implementing, and executing data-driven trading strategies across various asset classes. Your role will involve developing, backtesting, and deploying algorithmic trading strategies using historical and real-time market data. You will also monitor and manage the performance of live strategies, optimize models, and conduct quantitative research to enhance existing models. Collaboration with developers and researchers is crucial to enhance trading infrastructure, data pipelines, and execution systems. Risk analysis and management are key aspects of your responsibilities to ensure robust risk management practices in all trading activities. It is essential to stay updated with market trends, regulatory changes, and trading technologies to make informed decisions. To qualify for this role, you should hold a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering. In addition to your educational background, you must have experience in quantitative trading or research, with a solid grasp of data analysis, statistical modeling, and backtesting frameworks. Familiarity with financial markets, trading instruments, and tools like Pandas, NumPy, and scikit-learn is required. Preferred qualifications include experience in high-frequency or low-latency trading environments, knowledge of machine learning or deep learning techniques, exposure to Indian markets, and familiarity with FIX protocol or trading APIs. Your problem-solving skills, attention to detail, and ability to work under pressure will be valuable assets in this fast-paced and collaborative environment.,

As a Senior Android developer at our fast-growing, agile startup based in Bhubaneswar, you will be responsible for leading the complete implementation of team projects on the Android platform. In this role, you will wear multiple hats and play a crucial part in the following areas: Architect (20% of time): You will take the lead in architecting how different components such as frontend, backend, and algorithms will work together. Mobile Developer (70% of time): The majority of your time will be dedicated to coding and collaborating with other team members. You will also manage junior tech team members and work closely with the hardware team to design the mobile application. Proficiency in Android is essential, while experience with iOS is a bonus. Knowledge in OpenCV and Image Processing would be advantageous. Business Intelligence (5% of time): You will be expected to make intelligent business decisions to enhance user engagement and revenue. This will involve utilizing tools like analytics dashboards and leading brainstorming sessions with the team. Misc (5%): This category may involve tasks such as conducting occasional user interviews, up-skilling, researching new technologies, and business travel. The role is designed for individuals passionate about working in startup environments, where challenges are embraced. You will have the opportunity to innovate and witness the impact of your code on users worldwide. Skills Required: - 3+ years of experience in Mobile frontend development, preferably on the Android platform for a consumer-oriented business. - Strong empathy for the end-user experience. - Self-driven, self-motivated, and comfortable with aggressive deadlines and fast iteration cycles. - Proficiency in unit testing. - Excellent interpersonal and communication skills. - Bachelor's or Master's degree in engineering, preferably in Computer Science. - Experience in leading teams is a definite advantage. - Interest in Machine Learning/Deep Learning is a plus. Join our team of code-warriors and be part of creating innovative solutions that have a global impact and offer a fulfilling experience unlike any other.,

The role of Joint PhD candidate for the Research Project entitled "Deepfake Detection and Explanation for Social Media Video Content" at the TIET-UQ Centre of Excellence in Data Science and AI is a full-time on-site position located in Patiala. As a Joint PhD candidate, you will be responsible for conducting in-depth research, developing new algorithms, implementing deep learning models, analyzing data, and collaborating with the research team. Your tasks will also include preparing research publications, presenting findings at conferences, and contributing to the overall advancement of the project. To excel in this role, you should possess proficiency in Machine Learning, Deep Learning, and Neural Networks. Experience with Python, TensorFlow, and PyTorch is essential. Strong skills in Data Analysis, Data Mining, and Data Visualization are required for this position. A background in Video Processing, Computer Vision, and Multimedia Forensics will be beneficial. Excellent written and verbal communication skills are necessary to effectively communicate your research findings. You should also have critical thinking and problem-solving abilities to address complex challenges in the field. The ability to work collaboratively in a research environment is crucial for success in this role. A Master's degree in Computer Science, Data Science, or a related field is a minimum qualification for this position. Previous research experience in AI or deepfake detection is considered a plus. If you meet these qualifications and are passionate about contributing to cutting-edge research in the field of Data Science and AI, we encourage you to apply for this exciting opportunity as a Joint PhD candidate.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - **Mentoring Young Talents:** Mentoring the team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - **Quality Control:** Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - **Research and Development:** Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - **Cross-Functional Collaboration:** Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI, or similar. - Experience with other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with frameworks like ML Flow. - Experience with Docker containers and editing a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Publications and contributions to the AI research community are a plus. - Masters degree/Ph.D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As a Data Architect specializing in AI/ML, you will be responsible for analyzing and interpreting complex financial data to identify trends, patterns, and actionable insights. Your role will involve developing and implementing machine learning models for predictive analytics, classification, regression, etc. Collaboration with product, engineering, and business teams is essential to define data science requirements and deliver impactful results. Your responsibilities will include cleaning, preprocessing, and transforming data to ensure quality and consistency. Using data visualization techniques, you will communicate findings clearly to non-technical stakeholders. Additionally, you will contribute to the development and enhancement of data pipelines and workflows while monitoring and evaluating model performance to ensure accuracy and reliability over time. It is crucial to stay updated on the latest advancements in data science and machine learning. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field with 10-16 years of hands-on experience in artificial intelligence, data science, machine learning, or related fields. Proficiency in Python, R, or similar programming languages is required for data analysis and model development. Strong knowledge of machine learning algorithms, data manipulation and analysis libraries, data visualization tools, and experience with large datasets are essential. Familiarity with AWS cloud platforms and strong communication skills for collaborating with cross-functional teams are also important. You should be comfortable working from the office five days a week in Sector 62, Noida. Embracing challenges and pushing boundaries is encouraged to bring big ideas to life. The ability to decide fast, show ownership, make things happen, and seek continuous learning are valued traits in our team members. If you bring innovative thinking and energy, we will provide the platform for you to thrive and make a significant impact.,