800 Neural Networks Jobs - Page 6

Job Description : Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Job Description : Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job LocationHyderabad More details below About the team Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience 7-9 years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Experience with embedded systems development or equivalent.Strong development skills in C and C++. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomms cutting edge SoC and ML/AI platforms in the industry. Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM Soc Required Skills== 7+ experince with Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA Optimizing kernels for vector Processors Understanding of the basic linear algebra functions used in AI/ML Algorithm design (logic, critical thinking) Performance Evaluation and Optimization of the applications for ARM architecture Inferencing of the ML models written in Pytorch/TensorFlow/Keras Understanding of the typical Open-Source Library framework design Preferred Skills=== Strong Programming skills and deep understanding of the ARM ISA understanding of the algorithms suitable for Vector and matrix accelerators Strong Analytical and debugging skills Good understanding of Optimizing the Linear Algebra algorithms Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Experience - 2 to 12 years Location - Bangalore General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications Software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

All Peoples Church & World Outreach is looking for AI/ML Software Engineer to join our dynamic team and embark on a rewarding career journey Developing and directing software system validation and testing methods. Directing our software programming initiatives Overseeing the development of documentation. Working closely with clients and cross-functional departments to communicate project statuses and proposals. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Managing the software development lifecycle. Monitoring system performance. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans. Applying mathematics and statistics to problem-solving initiatives. Applying best practices and standard operating procedures. Creating innovative solutions to meet our companys technical needs. Testing new software and fixing bugs. Shaping the future of our systems.

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst Management Level:11 - Analyst Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Proficiency in supervised and unsupervised learning algorithms Proficiency in Python, with experience using libraries such as pandas, scikit-learn, and NumPy. Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras. Basic understanding of LLMs, NLP, and prompt engineering. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are looking for a highly motivated AI / GenAI Retail Analyst to join our data science and AI team. In this role, you will play a key part in building and implementing AI-driven solutions that enhance customer experience, streamline operations, and drive business outcomes in the retail sector. You'll work closely with cross-functional teams to extract insights from data and support the development of generative AI applications. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Build dashboards, visualizations, and reports to communicate findings, model performance, and business impact to stakeholders. Professional & Technical Skills : Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Additional Information: About Our Company | AccentureQualification Experience: Minimum 1-2 year(s) of relevant experience is required Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field

Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 6+ years Educational Qualification: Btech/ BE

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for HR Analytics Text Analytics Python Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Prioritization of workload Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Data Scientist - Data Science Designation: I&F Decision Science Practitioner Specialist Qualifications: Any Graduation Years of Experience: Experienced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited toLeading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domainsCPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Responsibilities: Develop large language models using NLP techniques Implement computer vision solutions with deep learning algorithms Design neural networks for pattern recognition and object detection

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

About Us: At Soul AI, we develop AI solutions with real-world benefits. Built by a top-tier team from IITs and IIMs, and operating out of SF and Hyderabad, our AI team tackles meaningful problems at scale. Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Role & responsibilities Design and develop AI systems, algorithms, and architectures for various business use cases Build AI modules using techniques like neural networks, deep learning, reinforcement learning, or symbolic AI Work on projects involving computer vision, NLP, or intelligent automation Collaborate with cross-functional teams to integrate AI features into end-user applications Prototype AI solutions and validate performance against business requirements Optimize models for accuracy, performance, and real-time inference Stay updated with the latest AI research, technologies, and best practices Document technical specifications and project outcomes clearly for future reference Preferred candidate profile Experience in working with large-scale AI datasets or cloud AI platforms (AWS, GCP, Azure) Exposure to prompt engineering and use of large language models (e.g., GPT, BERT) Familiarity with tools such as OpenCV, spaCy, Hugging Face Transformers, or TensorRT Published research, patents, or open-source contributions in AI

As a Senior Machine Learning Engineer in Healthcare Revenue Cycle Management (RCM) at BigRio, you will have the opportunity to work on cutting-edge projects with a team of top-tier professionals. BigRio is a remote-based technology consulting firm that specializes in delivering advanced software solutions, including custom development, cloud data platforms, AI/ML integrations, and data analytics. You are a problem-solver who enjoys owning high-impact initiatives and is excited about innovation in machine learning. You stay current with evolving technologies and bring hands-on experience in building, evaluating, and deploying models. Your ability to communicate comfortably across technical and non-technical audiences is crucial. Most importantly, you are motivated by the opportunity to improve healthcare systems through smart, data-driven solutions. The RCM product at BigRio is central to the platform, supporting billions in revenue processing each year. As part of the Data Science team, you will work on challenging problems in automation and optimization using advanced ML techniques. Collaboration with engineering is key to deliver intelligent features that seamlessly integrate into the healthcare platform. Additionally, you will be involved in managing production-grade ML deployments using modern cloud tools. Key Responsibilities: - Identify opportunities to apply machine learning to RCM workflows. - Design, develop, and deploy ML-based production services. - Adhere to and advocate for best practices in model development and engineering. - Conduct rigorous testing and validation of models and code. - Contribute to the development of internal tools and team standards. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 3-5 years of hands-on experience building, evaluating, and deploying ML models. - Strong programming skills in Python, with proficiency in SQL and Unix environments. - Experience with deep learning and neural network architectures (preferred). - Familiarity with training and fine-tuning LLMs or generative AI models (bonus). - Exposure to NLP or computer vision is a plus. - Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus. - Excellent communication skills, both written and verbal. BigRio is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.,

You will be a Mid-Level Machine Learning Engineer responsible for leading the design, implementation, and maintenance of machine learning models, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Additionally, you will collaborate with front-end developers to integrate AI functionalities into our React UI, aiming to provide a seamless user experience. Rigorous testing and performance evaluations will also be part of your responsibilities. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is essential, along with the ability to train, validate, and test NN models. Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops is also required. Join our team and be a key player in the development of custom Large Language Models (LLMs) for legal research applications, and contribute to our innovative project's AI backend and React-based frontend.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

As a Data Scientist at mPokket, you will be an integral part of our rapidly growing fintech startup in the lending domain. We specialize in offering micro loans to college students and young professionals through our mobile app, with over 11 million loans disbursed. As a profitable organization backed by a US based private equity firm, we are now poised to scale our business 10x-20x in the upcoming years. If you are an ambitious individual with a passion for working with raw data to derive meaningful insights, we invite you to join us on this incredible journey. Your primary responsibility will be to collaborate with the data science team to plan and execute projects aimed at building advanced analytics models. You should possess a strong problem-solving ability, a flair for statistical analysis, and the capability to align data products with our business objectives. By leveraging data effectively, your role will contribute towards enhancing our products and driving informed business decisions. Key Responsibilities: - Supervise the data scientists team and data specialists to ensure seamless project execution - Mentor and guide colleagues on innovative techniques and solutions - Work closely with data and software engineers to implement scalable technologies across the organizational ecosystem - Conceptualize, plan, and prioritize data projects in alignment with business goals - Develop analytic systems, predictive models, and explore new methodologies to enhance performance - Ensure that all data projects are in sync with the overall organizational objectives Minimum Qualifications: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field - Over 6 years of experience in solving analytical problems using quantitative approaches - Proficient in communicating quantitative analysis results effectively - Familiarity with relational databases, SQL, and scripting languages like Python, PHP, or Perl - Knowledge of statistics including hypothesis testing and regressions - Experience in manipulating data sets using statistical software like R, SAS, or other similar tools Technical Skills: Must have: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on cloud Good to have: - Visualization: Tableau, Power BI, Looker, QlikView - Data management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm,

As a Data Scientist Associate Manager at SC&O - S&P I&F Decision Science, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, improve supplier management, and provide valuable business intelligence to enterprise clients. One of your key duties will be to analyze procurement spend using various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources through interactions with stakeholders and conducting data quality assessments. Additionally, you will assist in creating data cleansing rules and incorporating data clarifications from source owners. To excel in this role, you should have hands-on experience with Python, including threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is essential. Strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++ will be beneficial. Familiarity with statistical and data mining techniques, along with advanced machine learning algorithms and statistics, is also required. Ideal candidates for this position should possess 6-12 years of experience in data modeling, ETL automation, AI/ML, and front-end design. A background in handling and classifying spend data using AI/ML techniques is highly desirable. Strong leadership, team management, proficiency in MS Excel and MS PowerPoint, attention to detail, accuracy, and innovative problem-solving skills are crucial for success in this role. Previous experience in supply chain management and applying AI/ML techniques to optimize operations is preferred. Join us at Accenture and be part of a dynamic team driving innovation and excellence in decision science and data analytics.,

Qualcomm India Private Limited is seeking a Software Engineer to join their Engineering Group in Hyderabad. As a Qualcomm Software Engineer, you will play a crucial role in designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. Your contributions will be instrumental in creating cutting-edge products that exceed customer expectations. Collaboration with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions will be a key aspect of your role. To be considered for this position, you should hold a Bachelor's, Master's, or PhD degree in Engineering, Information Systems, Computer Science, or a related field, along with 3+ years, 2+ years, or 1+ year of relevant Software Engineering experience, respectively. Additionally, you should have a minimum of 2 years of academic or work experience with programming languages such as C, C++, Java, Python, etc. The team at Qualcomm is focused on advancing Machine Learning using Qualcomm chips" heterogeneous computing capabilities. You will have the opportunity to work on Snapdragon Neural Processing Engine (SNPE) SDK and develop various software features in the ML stack. Porting AI/ML solutions to different platforms, optimizing performance on hardware accelerators, and staying updated with industry developments are among your responsibilities. Ideal candidates will have 7-9 years of relevant software development experience, with expertise in C and C++ programming, processor architecture, system design fundamentals, and embedded systems development. Strong communication skills, the ability to collaborate across diverse teams, and a commitment to quality software development are essential for success in this role. Preferred qualifications include experience in embedded system development, C, C++, OOPS, Design patterns, Linux kernel or driver development, and strong OS concepts. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. The company expects its employees to adhere to all applicable policies and procedures, including those related to the protection of confidential information. Staffing and recruiting agencies should note that Qualcomm's Careers Site is exclusively for individuals seeking job opportunities at Qualcomm. Unsolicited submissions from agencies will not be considered. For more information about this role, please contact Qualcomm Careers.,

Wayfair's Advertising business is expanding rapidly, contributing significant profits to the company. The team is focused on building Sponsored Products, Display & Video Ad offerings to meet various Advertiser goals and deliver highly relevant Ads to millions of customers. The Ads Platform is evolving to empower advertisers of all sophistication levels to achieve a strong ROI through state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team plays a crucial role in this expansion. Leveraging machine learning and generative AI, the team streamlines campaign workflows and provides impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Intelligent systems for creative optimization and agentic frameworks are also being developed to simplify and enhance advertiser interactions. As a Machine Learning Scientist in the Advertising Optimization & Automation Science team, you will be responsible for developing budget, tROAS, and SKU recommendations, and other machine learning capabilities to support the ads business. Collaborating with other scientists, as well as Product and Engineering teams, you will apply your engineering and machine learning skills to tackle impactful and intellectually challenging problems that directly impact Wayfair's revenue. Responsibilities: - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems to address real-world problems for customers. - Collaborate with commercial stakeholders to understand business challenges and opportunities, developing analytical solutions accordingly. - Work closely with engineering, infrastructure, and machine learning platform teams to ensure best practices in building and deploying scalable machine learning services. - Identify new opportunities and insights from data to improve models and project the ROI of proposed modifications. - Maintain a customer-centric approach in framing, approaching, and solving every problem. Requirements: - 3+ years of industry experience with a Bachelor/Masters degree or 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or related field. - Proficiency in Python or another high-level programming language. - Hands-on experience deploying machine learning solutions into production. - Strong theoretical understanding of statistical models like regression, clustering, and machine learning algorithms such as decision trees and neural networks. - Excellent written and verbal communication skills. - Intellectual curiosity and a passion for continuous learning. Nice to have: - Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML). - Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, and machine learning orchestration tools like Airflow, Kubeflow, or MLFlow. - Experience in information retrieval, query/intent understanding, search ranking, recommender systems, etc. - Familiarity with deep learning frameworks like PyTorch, Tensorflow, etc.,

NTT DATA is looking for a Sr Information Security Engineer to be a part of their team in Bangalore, Karnataka (IN-KA), India. As a Sr Information Security Engineer, you will be responsible for various tasks, including but not limited to: - Having 5+ years of experience in IT Technology. - Possessing 2+ years of experience in AI / ML with a strong working knowledge in neural networks. - Demonstrating 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda. - Having 2+ years of python coding experience using numpy, vectorization, and Tensorflow. - Leading complex enterprise-wide integration programs and efforts for a minimum of 2 years as an individual contributor. Preferred Skills: - Holding a Mathematics or physics degree. - Having 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP. - Demonstrating excellent verbal, written, and interpersonal communication skills. - Being able to provide strong customer service. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is one of the leading providers of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to grow with a forward-thinking organization, apply now to be a part of NTT DATA's team in Bangalore, Karnataka, India.,