1380 Deep Learning Jobs - Page 45

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Machine Learning & Deep Learning – Strong understanding of LLM architectures, transformers, and fine-tuning techniques. MLOps & DevOps – Experience with CI/CD pipelines, model deployment, and monitoring. Vector Databases – Knowledge of storing and retrieving embeddings efficiently. Prompt Engineering – Ability to craft effective prompts for optimal model responses. Retrieval-Augmented Generation (RAG) – Implementing techniques to enhance LLM outputs with external knowledge. Cloud Platforms – Familiarity with AWS, Azure, or GCP for scalable deployments. Containerization & Orchestration – Using Docker and Kubernetes for model deployment. Observability & Monitoring – Tracking model performance, latency, and drift. Security & Ethics – Ensuring responsible AI practices and data privacy. Programming Skills – Strong proficiency in Python, SQL, and API development. Knowledge of Open-Source LLMs – Familiarity with models like LLaMA, Falcon, and Mistral. Fine-Tuning & Optimization – Experience with LoRA, quantization, and efficient training techniques. LLM Frameworks – Hands-on experience with Hugging Face, LangChain, or OpenAI APIs. Data Engineering – Understanding of ETL pipelines and data preprocessing. Microservices Architecture – Ability to design scalable AI-powered applications. Explainability & Interpretability – Techniques for understanding and debugging LLM outputs. Graph Databases – Knowledge of Neo4j or similar technologies for complex data relationships. Collaboration & Communication – Ability to work with cross-functional teams and explain technical concepts clearly. Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: LLM Ops. Experience3-5 Years.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: JD for Cloud Machine Learning LLM Serving engineer Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. Key Responsibilities Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Implement Kernels for AI workloads Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge- LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks. Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define requirements and scope, and lead your own development effort. Well versed with open-source development practices. Strong developer with a research mindset- strives to innovate. Avid problem solver- should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is a plus. Qualifications : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 2+ years Software Engineering or related work experience. 2+ years experience with Programming Language such as C++, Python. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 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. General Summary 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 7+ years 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.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: JD for Cloud Machine Learning LLM Serving Staff engineer Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. Key Responsibilities Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level issues, interface with the software development, integration, and test teams Lead high performing teams towards system design and deliverables. Proven track record of leading teams in Machine learning software engineering. Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space. Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge- LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks. Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define requirements and scope, and lead your own development effort. Well versed with open-source development practices. Strong developer with a research mindset- strives to innovate. Avid problem solver- should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is a plus. Qualifications : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 8+ years Software Engineering or related work experience. 8+ years experience with Programming Language such as C++, Python. 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 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary 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 3+ years 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.) 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.

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. General Summary 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 1+ years 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.) 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.

Job Title:AI/ML (Artificial Intelligence & Machine Learning) Algorithms Experience:7-10 Years Location:Pune/Bangalore : Python, AI/ML Solutions

Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

Job Title:GenAI Specialist Experience4-8 Years Location:Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Duration: 8Months Work Type: Onsite Position Description: Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Skills Required: Machine Learning, GenAI, LLM Skills Preferred: Python, Google Cloud Platform, Big Query Experience Required: 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience Preferred: 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Education Required: Bachelor's Degree

Job description: NPCI Data Analytics team is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in modelling complex problems, uncovering insights, and identifying new opportunities using statistical, algorithmic, mining, and visualization techniques. You will be focused on utilizing NPCI product data and analytics to solve business problems by applying machine learning and deep learning techniques, conducting statistical analysis, and building high-quality predictive systems that are integrated with our services. Education and experience: BE/ B. tech with minimum 7 years of experience with 5+ years in the development, adoption and implementation of Data Science technology in relevant processes of the organization. Job Responsibilities: Interact with cross-functional teams to foster a data-driven payments organization. Work on big data systems such as SQL and Spark for feature generation and data processing. Build and compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models. Analyze various data sources to generate reports and insights, both at the aggregate and model level, and present these results to a non-technical audience. Identify opportunities to create and automate repeatable analyses or build self-service tools for business users. Develop deep learning models for large scale. Design experiments, test hypotheses, and build, train, and deploy various models using traditional datasets and graph data. Attitude: Possess strong interpersonal and influencing skills with good stakeholder engagement Excellent analytical and communication skills High personal drive; result oriented; makes things happen Ability to work on complex projects with distributed teams and tight timelines Fast paced and prompt Achievement oriented Energetic and Enthusiastic & Self-motivated

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices Keywords C,C++,Machine Learning,Deep Learning,CNN,Pytorch,Tensorflow,Python,Audio AI Modelling* Mandatory Key Skills C,C++,Machine Learning,Deep Learning,CNN,Pytorch,Tensorflow,Python,Audio AI Modelling*

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 5–10 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: • Lead the design and development of Generative AI applications , including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. • Evaluate and integrate GenAI services and APIs (e.g., Vertex AI , OpenAI , Anthropic , HuggingFace , etc.) into existing or new platforms. • Build scalable backend services and data pipelines to support AI/ML workloads. • Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. • Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. • Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. • Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. • Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field. • 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions . • Strong experience with Python , cloud platforms (especially GCP Vertex AI ), and ML frameworks. • Hands-on experience with LLMs , prompt engineering , fine-tuning, and embeddings. • Experience in building and integrating GenAI services in real-time or batch applications. • Solid understanding of machine learning lifecycle , data preprocessing , and deployment pipelines . • Familiarity with CI/CD pipelines , API development , and cloud-native architectures . • Excellent communication, collaboration, and stakeholder management skills.

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

About the job: Key responsibilities: 1. Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) 2. Design and fine-tune prompts for various use cases. 3. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) 4. Use tools like LangChain or LlamaIndex for multi-step worklows 5. Collaborate with designers, content teams, and founders to turn ideas into polished tools Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,20,000 - 6,50,000 /year Experience: 0 year(s) Deadline: 2025-06-22 23:59:59 Skills required: Natural Language Processing (NLP), Deep Learning, Prompt Engineering, ChatGPT, Claude, Gemini, LLMOps and Model fine-tuning Other Requirements: 1. Degree Btech - AI/Ml, others ( who has done AI/ML projects) 2. Strong understanding of LLM APIs (OpenAI, Claude, Gemini, etc.) 3. REST API integration and deployment knowledge 4. GitHub portfolio with working AI tools or integrations About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality.

Expertise in Python, R, SQL, and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). Strong understanding of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: 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 concepts Understanding of Deep Learning architectures with hands on experience in compute optimizing the layers used there Strong in mathematical concepts and fixed-point computations In 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 knowledge Exposure to vector processing on DSP Good 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 groundFixed 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. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD 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.

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 2-4 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #LI-EDA #LI-Hybrid #DVT

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 4-8 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #LI-EDA #LI-Hybrid #DVT

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

About The Role : As a Banking Data Analyst, you will play a critical role in our clients' data-driven decision-making processes. You will work closely with marketing teams, product managers, and other stakeholders to understand their data needs and provide relevant analyses. Your expertise in SQL, marketing analytics, and banking domain knowledge will be essential to your success. Responsibilities : - Perform in-depth data analysis using SQL to extract and analyze banking data. - Develop and maintain reports and dashboards to track key performance indicators (KPIs). - Identify trends and patterns in banking data to provide actionable insights. - Analyze marketing campaign performance and provide recommendations for optimization. - Segment customer data to identify target audiences for marketing initiatives. - Develop and implement customer lifetime value (CLTV) models. - Apply knowledge of banking products and services to analyze data and provide relevant insights. - Focus on data related to deposits and home lending (good to have). - Visualize data using tools like Jupyter Notebook to communicate insights effectively. - Present findings to stakeholders in a clear and concise manner. - Ensure data accuracy and integrity. - Identify and resolve data quality issues. - Utilize Python for data analysis and automation tasks (good to have). Required Skills : - Very strong SQL skills for data extraction and analysis. - Proven experience in marketing analytics, including campaign analysis and customer segmentation. - Experience in the banking industry, with a focus on deposits and home lending (good to have). - Experience with Jupyter Notebook for data visualization and reporting. Good to Have Skills : Python Programming : - Experience with Python for data analysis and automation. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Position Title: Pro Vice-Chancellor Computer Engineering Background Location: Bengaluru North, Karnataka, India Role Overview: The Pro Vice-Chancellor (PVC) will play a pivotal role in shaping and leading the academic and research vision of technology and engineering schools with a core emphasis on Computer Science and allied disciplines. The position requires an accomplished academician with strong subject knowledge, technological foresight, and the ability to lead cutting-edge research, foster innovation, and build robust academia-industry linkages. Key Responsibilities: Academic and Technical Leadership: Research and Innovation Leadership: Technology Incubation and Start-Up Ecosystem: Academic-Industry Collaboration: Digital Transformation and Smart Campus Initiatives: Internationalization: Faculty and Talent Development: Strategic Planning and Policy Implementation: Eligibility Criteria: Mandatory Qualifications: Engineering Graduation (B.E. / B.Tech), Post-Graduation (M.E. / M.Tech), and Doctorate (Ph.D.) in any one of the following disciplines only: Computer Science Information Science Information Technology Data Science Artificial Intelligence & Machine Learning Note: Candidates with engineering graduation in any other specialization will not be considered. Candidates with qualifications such as B.Sc., BCA, MCA, or other non-engineering degrees will also not be eligible. Experience Requirements: Minimum 15 years of academic experience, including teaching, research, and academic administration. Demonstrated leadership in funded research projects, Ph.D. guidance, patents, and high-impact publications. Experience in establishing or leading research labs, innovation centers, or CoEs. Preferred Attributes: Academic qualifications from premier national/international institutions (e.g., IITs, NITs, IIITs, global universities). Strong industry interface with a track record in consulting, technology advisory, or product development. Global exposure through research collaborations, academic visits, or international program management.

Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Key Responsibilities: Lead the AI CoE team, ensuring alignment with business objectives. Oversee the design, development, and deployment of AI/ML models for financial use cases. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices. Required Experience: 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role. Strong background in AI/ML model development and deployment, particularly in the financial services sector. Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Tech Specifics: Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks. MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines. Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment. Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets. Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration. Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.