1052 Keras Jobs - Page 40

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis. Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video). Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training. LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections). System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms. UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation. Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports. Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations. Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure). Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization. Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision. Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets. Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras. Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices. Excellent problem-solving skills and the ability to work with complex, large-scale datasets. Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences. Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation. Track record of publications in top-tier AI/ML/CV conferences or journals. Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics). Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services. Experience with video processing and analysis techniques. Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka). Demonstrated ability to lead technical projects and mentor team members. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Show more Show less

Senior Data Scientist - NAV02EG Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? Its our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If youre naturally curious, open-minded, and a self-motivated learner - one whos ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of PositionAI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17.

Senior Data Scientist - NAV02ED Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17. Understanding of data structures, data modelling and software architecture 18.

Digital Solutions Consultant I - HYD014D Company Worley Primary Location IND-AP-Hyderabad Job Digital Solutions Schedule Full-time Employment Type Agency Contractor Job Level Experienced Job Posting Apr 21, 2025 Unposting Date May 21, 2025 Reporting Manager Title Senior Manager, Applications We deliver the worlds most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Consultant should have sound development exposure with AI solution. Must have implemented 2/3 Eightfold application in the client environment. Development and implementation exposure must be with Oracle ERP environment. Should be good in planning the releases and co-ordination with Architect & other development. About You To be considered for this role it is envisaged you will possess the following attributes Previous experience in HR Tech implementations. Experience with AI-driven recruiting platforms. Familiarity with machine learning concepts and how they apply to talent intelligence. Experience in agile project environments. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Principal Data Scientist - NAV02CM Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Leadwith Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills: Professional and open communication to all internal and external interfaces.Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing cultureStrong analytical skills. Industry Specific Experience: 10 -18 Years of experience of AI/ML project execution and AI/ML research Education Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together Were committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

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

Role –Senior Gen AI Engineer Location: PAN India Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

About the role: We are seeking a highly skilled Domain Expert in Condition Monitoring to join our team and play a pivotal role in advancing predictive maintenance strategies for electrical equipment. This position focuses on leveraging cutting-edge machine learning and data analytics techniques to design and implement scalable solutions that optimize maintenance processes, enhance equipment reliability, and support operational efficiency. As part of this role, you will apply your expertise in predictive modeling, supervised and unsupervised learning, and advanced data analysis to uncover actionable insights from high-dimensional datasets. You will collaborate with cross-functional teams to translate business requirements into data-driven solutions that surpass customer expectations. If you have a passion for innovation and sustainability in the industrial domain, this is an opportunity to make a meaningful impact. Key Responsibilities: Develop and implement predictive maintenance models using a variety of supervised and unsupervised learning techniques. Analyze high-dimensional datasets to identify patterns and correlations that can inform maintenance strategies. Utilize linear methods for regression and classification, as well as advanced techniques such as splines, wavelets, and kernel methods. Conduct model assessment and selection, focusing on bias, variance, overfitting, and cross-validation. Apply ensemble learning techniques, including Random Forest and Boosting, to improve model accuracy and robustness. Implement structured methods for supervised learning, including additive models, trees, neural networks, and support vector machines. Explore unsupervised learning methods such as cluster analysis, principal component analysis, and self-organizing maps to uncover insights from data. Engage in directed and undirected graph modeling to represent and analyze complex relationships within the data. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Communicate findings and insights to stakeholders, providing actionable recommendations for maintenance optimization. Mandatory Requirements: Master"™s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field. Proven experience in predictive modeling and machine learning, particularly in the context of predictive maintenance. Strong programming skills in languages such as Python, R, or similar, with experience in relevant libraries (e.g., scikit-learn, TensorFlow, Keras). Familiarity with data visualization tools and techniques to effectively communicate complex data insights. Experience with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Good to Have: Experience in Industrial software & Enterprise solutions Preferred Skills & Attributes: Strong understanding of modern software architectures and DevOps principles. Ability to analyze complex problems and develop effective solutions. Excellent communication and teamwork skills, with experience in cross-functional collaboration. Self-motivated and capable of working independently on complex projects. About the Team Become a part of our mission for sustainabilityclean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we"™re also using our technology to help protect people and the environment. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Job TitleAI/ML Engineer and Developer Location: Bengaluru, Karnataka, India Job Type: Full-Time About The Role : Introduction : We are seeking a passionate and innovative AI/Machine Learning Engineer to join our IT organization as part of a dynamic cross-functional team. In this role, you will develop, train, tune, and optimize machine learning models, deploy them into production, and ensure their scalability. You will also develop applications that integrate AI models into existing products or create new AI-powered solutions to enhance the capabilities and efficiency of our Marketing, Sales, and Communications teams. Key Responsibilities: Machine Learning Model Development and Integration: o Build end-to-end machine learning pipelines, from data ingestion to deployment. o Design, train, and evaluate ML models, including custom models and AutoML / pycaret /ML Flow solutions. o Implement CI/CD processes for model deployment and continuously monitor model performance. o Develop and deploy machine learning models to address specific challenges within the Marketing, Sales, and Communications domains. o Work with large and complex data sets to build models that enhance decision-making, customer segmentation, predictive analytics, and personalization efforts. o Seamlessly integrate ML models into existing API-based systems to ensure efficient consumption by business applications. Performance Monitoring and Optimization: o Continuously monitor the performance of machine learning models in production environments. o Refine and optimize models based on performance data and evolving business needs. o Explore new tools, techniques, and data sources to enhance the capabilities of ML models within the business context. Collaboration and Stakeholder Engagement: o Collaborate with the data team to define data requirements for model training and evaluation. o Work closely with developer teams to provide guidance on API architecture development, ensuring alignment with ML strategy. o Partner with API developers to design and implement APIs that provide access to machine learning insights. o Engage with business teams to understand their needs and deliver ML solutions that add tangible value. o Communicate complex ML concepts and the benefits of ML projects to non-technical stakeholders effectively. Required Qualifications: o Bachelor's or master"™s degree in computer science, Data Science, Engineering, or a related field, with 56 years of IT experience, including a minimum of 34 years of relevant experience as ML AI Developer. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Should understand Dockerization, Kubernetes and REST APIs o Proficiency in full-stack development, API integration, and cloud-native development. o Strong knowledge of machine learning algorithms, statistics, and model optimization. o Familiarity with LLM/ SLM, MLOps tools (e. g. , Azure ML, Databricks, Kubeflow, MLflow). o Expertise in model deployment frameworks (e. g. , TensorFlow, PyTorch, Pycaret) and DevOps for AI. o Proficiency in programming languages such as Python or R. o Experience with API development and integration (preferably Azure API) o Understanding Hierarchical multi agent structure, RAG , LLM evaluation framework o Proficiency in visualizing data storylines and conducting in-depth data analysis with frameworks (e.g. Plotly, dash) Good to Have o Experience in developing ML solutions for marketing, sales, or communications. o Knowledge of cloud services (AWS, Azure, Google Cloud) and their machine learning offerings. o Demonstrated ability to work in cross-functional teams and manage projects. o Familiarity with agile development methodologies. You"™ll win us over by 3+ years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions. B. Tech or master"™s in data science, Computer Science, Statistics or a related field Strong programming skills in languages such as Python, R, or C++. Should be familiar libraries and concepts such as Tensorflow , Pytorch, Keras, Sklearn, pycaret, Statmodels, Pandas, Numpy, Scipy, SQL, HQL or similar. Proficient in the use of NLP/Analytics tools Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, we"™ve got quite a lot to offer. How about you? We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow"™s idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. 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 efficiently. 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. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! We"™ve got quite a lot to offer. How about you? Required Experience: We seek a graduate with at least 2 years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills 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. #LI-EDA #LI-Hybrid

Position Summary: A Solution Engineer specializing in power system simulation using AI designs advanced solutions to model, analyze, and optimize energy systems. They leverage AI and machine learning to simulate grid behavior, predict energy demand, and enhance system reliability, efficiency, and sustainability. How You"™ll Make an Impact (responsibilities of role) Design AI-driven simulation models for power systems (grid operations, load forecasting, renewable integration). Implement machine learning algorithms for predictive maintenance and fault detection. Integrate AI tools with power system software (e.g., PSS/E, DIgSILENT PowerFactory). Optimize energy distribution and grid performance using real-time data and AI analytics. Ensure compliance with industry standards and cybersecurity protocols. What You Bring (required qualifications and skills) EducationBachelor"™s/Master"™s in Electrical Engineering, Computer Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer), energy-specific certifications. Experience5+ years in power systems and AI-driven simulation projects. Expertise in power system simulation tools (PSS/E, PowerFactory, MATLAB/Simulink). Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of energy systems, grid modeling, and renewable energy integration. Strong problem-solving and communication skills. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! About The Role Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company ?If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Implementation of AI/ML algorithms and frameworks Involvement in data collection, profiling, data preparation and curation of data AI Model development, experimentation, tuning validation Propose ML based solution approaches estimates for new use cases Programming: Python, SQL AI domains - NLP, computer vision Learning patterns supervised, unsupervised Knowledge of datasets, pre-built models available in open community and 3rd party providers Minimum Qualifications and Experience: BE/BTech in any engineering discipline with experience in applied AI/ML aspects will be highly desirable Required Expertise: Familiarity with AI/ML frameworks including Numpy, Scikit libraries Other terms: The position is contractual, full time in nature and subject to periodic performance reviews

Summary We are seeking a highly skilled and motivated Computer Vision Engineer with strong expertise in Python, image processing, and algorithm design. The ideal candidate should be adept at developing fault-tolerant systems and optimizing data pipelines. This role requires an innovative thinker who thrives in a startup environment and is passionate about building scalable and efficient solutions. Skills Required Strong experience in Python and writing fault-tolerant code Extensive expertise in Image Processing, OpenCV, SciPy, and NumPy Good understanding of optimizing data processing pipelines Command over geometry, statistics, and designing complex algorithms Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques Roles and Responsibilities Leverage open-source code and libraries to quickly experiment and build novel solutions Independently think of solutions to complex requirements; possess exceptional logical skills Analyze current products in development, including performance, diagnosis, and troubleshooting Work with the existing framework and help evolve it by building reusable code and libraries Search for and introduce new software-related technologies, processes, and tools to the team Brownie Points Knowledge of Keras, TensorFlow, PyTorch, Ludwig, TensorRT Experience with Nvidia DeepStream Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.) Understanding of Docker, Kubernetes, and Git Familiarity with JavaScript What We Have to Offer Work with a performance-oriented team driven by ownership and open to experimenting with cutting-edge technologies Learn to design systems for high accuracy, efficiency, and scalability Meritocracy-driven, candid startup culture

About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Lead the migration of our current ML workflow to GCP using products including DocAI Support business and key stakeholders to make data-driven decisions Identify and drive potential AI/ML use cases to improve the efficiency of various Trade Finance products Mentor and support junior data scientists Your skills and experience Proficiency in common data science languages - Python preferred Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Experience on developing an LLM-based application is preferred Professional experience on projects involving machine learning - preferably Natural Language Processing or Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleEngineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support business and key stakeholders to make data-driven decisions Work with the team on AI/ML solutions to improve the efficiency of various Trade Finance products Support with the migration of existing ML workflow to GCP using products such as DocAI Your skills and experience Experience using common languages used in data science preferably Python Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Knowledge of AI/ML concepts beneficial - especially Natural Language Processing, Document Understanding and Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Title: Machine Learning Developer Job Summary: We are looking for passionate and skilled Machine Learning Developers (5+ years) to join our team. The ideal candidates will have strong expertise in machine learning frameworks and a proven track record of delivering high-quality solutions. Key Responsibilities: Design, develop, and deploy robust machine learning models. Work with large datasets to extract meaningful insights. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Optimize algorithms for performance, scalability, and accuracy. Continuously research and implement the latest advancements in machine learning and AI technologies. Participate in code reviews, provide mentorship, and support knowledge-sharing initiatives within the team. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python and deep learning frameworks such as TensorFlow, Keras, PyTorch . Solid understanding of Scikit-Learn for machine learning algorithms and model evaluation. Strong problem-solving skills with attention to detail. Ability to work effectively in a fast-paced, agile environment. Excellent written and verbal communication skills. Preferred Skills: Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment. Knowledge of containerization (Docker, Kubernetes). Familiarity with version control systems like Git. Strong background in statistics, data analysis, and algorithm optimization. What we believe : We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do. Humility : We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity : Through business, we will better the lives of those less fortunate than ourselves. Integrity : We honour our commitments and act with responsibility in all our relationships. UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. Required Skills Python,Machine Learning,Tensorflow,Keras

Job description Role & responsibilities Design and develop AI architectures that support high-performance, scalable AI and machine learning systems. Work with stakeholders to identify AI opportunities and translate business requirements into AI solutions. Lead the research and development of AI models, including natural language processing (NLP), computer vision, and deep learning techniques. Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models. Ensure the efficient deployment of AI systems in production environments, ensuring robustness and scalability. Evaluate and recommend AI tools, frameworks, and best practices for effective AI development. Keep up to date with the latest advancements in AI and machine learning technologies and apply them to improve AI architecture. Conduct code reviews, troubleshoot, and optimize AI models and algorithms. Ensure compliance with data security, privacy, and ethical AI standards. Mentor and guide junior engineers and AI developers in best practices for AI model development. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. Preferred candidate profile Proven experience as an AI Architect, AI/ML Engineer, or a similar role. Team handling experience if having 5 years or plus experience. Excellent problem-solving skills with the ability to handle complex AI challenges. Strong expertise in machine learning algorithms, neural networks, and deep learning techniques. Strong communication skills to effectively interact with technical and non-technical stakeholders.

Role Overview: We are seeking AI/ML Interns or Freshers who are passionate about Artificial Intelligence and Machine Learning, and excited to apply their knowledge to real-world enterprise problems. Youll gain hands-on experience, work on live projects, and have a pathway to a full-time role based on your performance. What Youll Do: Assist in designing and developing machine learning models and AI-based solutions Work on data preprocessing, feature engineering, and model training/evaluation Collaborate with development teams to integrate AI modules into enterprise software Research and experiment with new algorithms and frameworks Help build tools for data visualization, analysis, and insights Skills & Qualifications: Solid understanding of Python and key libraries (NumPy, Pandas, Scikit-learn, etc.) Exposure to Machine Learning and Deep Learning concepts Familiarity with frameworks like TensorFlow, Keras, or PyTorch is a plus Basic understanding of data structures and algorithms Curiosity, problem-solving mindset, and a willingness to learn Eligibility: Final semester students pursuing a degree in Computer Science / Data Science / Engineering OR Recent graduates with a background or strong interest in AI/ML/For vododra only Why Join UsWork on cutting-edge AI solutions for enterprise clients Mentorship from experienced AI professionals Opportunity to convert to a full-time role post-internship A collaborative and innovation-driven environment

machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proficiency in Python data processing libraries (Pandas, NumPy) Knowledge of cloud platforms like AWS, GCP, or Azure NLP,LLM,GenAI

We are looking for a highly skilled and experienced AI Engineer with 2 to 7 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in artificial intelligence, machine learning, and software engineering. ### Roles and Responsibility Design, develop, and deploy AI models and systems that align with business objectives. Conduct data analysis, pre-processing, and feature engineering to ensure high-quality input for AI algorithms. Train, evaluate, and optimize AI models using various machine learning algorithms and techniques. Implement scalable and efficient AI solutions in production environments, considering performance, latency, and reliability. Collaborate with AI and software engineers to integrate AI models into production systems and monitor their performance. Analyze and interpret AI model outputs, providing insights and recommendations to stakeholders. ### Job Requirements Deep understanding of AI and machine learning algorithms, including regression, classification, clustering, and deep learning. Proficiency in Python for AI model development, along with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms, preferably Azure, to deploy scalable AI solutions, and knowledge of distributed computing frameworks like Spark. Strong foundation in software engineering practices, including version control with Git, testing, documentation, and code review. Understanding of NLP techniques and frameworks such as Hugging Face's Transformers, BERT, GPT, or Transformer models, TensorFlow's NLP library, or spaCy for language-related AI applications. Experience with natural language processing (NLP) techniques and frameworks, and generative AI techniques, including prompt engineering and fine-tuning LLMs. Proficiency in data pre-processing, visualization, SQL, and big data technologies, along with strong skills in Python for AI model development and implementation. Knowledge of containerization tools like Docker and an understanding of responsible AI practices and data privacy. Generative AI Techniques: Knowledge and experience in Generative AI techniques, prompt engineering, vector database, LLMs such as OpenAI, Azure OpenAI, Open-source LLMs. Fine-tuning: Collaborate with the research and development teams to fine-tune large language models using prompts, ensuring the models produce accurate, contextually relevant, and safe responses. Model Evaluation and Optimization: Experience with model evaluation, hyperparameter tuning, and optimization techniques. Data Pre-processing and Visualization: Solid understanding of techniques for data pre-processing, feature engineering, and data visualization. Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for scalable AI solutions. (Azure preferred) Distributed Computing: Knowledge of distributed computing frameworks, particularly Spark, for large-scale data processing. Version Control Systems: Proficient in using version control systems like Git for collaborative AI development. Troubleshooting and Debugging: Ability to troubleshoot and debug complex AI systems and models. Containerization: Knowledge of containerization tools like Docker for efficient deployment of AI solutions. Software Engineering Practices: Familiarity with software engineering practices, including testing, documentation, and code review.

Hi greetings from Zoople Technologies. We are looking for Data Science Trainer. Experience: 6 Months - 1 year Key Responsibilities: Conduct Training Sessions: Lead comprehensive training sessions on data science topics including data analysis, machine learning, and data visualization. Develop Training Material: Create, refine, and maintain course content, presentations, and practical exercises that align with industry standards. Assess and Support: Evaluate student progress through assessments and provide guidance to address learning challenges effectively. Stay Updated: Continuously update training material based on the latest trends and advancements in data science and related technologies. Collaborate: Work closely with other team members and stakeholders to enhance training programs and ensure they meet educational objectives. Technical Skills Required: PowerBI: Proficiency in creating and managing interactive reports and dashboards. SQL: Advanced skills in querying and managing databases. Python: Strong programming skills with experience in data manipulation and analysis. scikit-learn: Practical experience with machine learning algorithms and techniques. Deep Learning: Practical knowledge of deep learning concepts and frameworks (e.g., TensorFlow, Keras) is advantageous. Other Skills: Familiarity with data preprocessing, statistical analysis, and data visualization tools. Requirements: Experience: Minimum of 6 months of hands-on experience in data science or a related field. Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline. Communication Skills: Excellent verbal and written communication skills with the ability to present complex information in an accessible manner. Teaching Skills: Prior experience in teaching or training is desirable, with a proven ability to engage and motivate students. Job Type: Full-time Pay: ₹30,000.00 per month Schedule: Day shift Work Location: In person

Working with stakeholders to understand their requirement, propose solution and design Define PoC guidelines as well as success criteria Good experience in Analytics, Machine learning, Deep learning. Good understanding of Google/Gemini/Vertex AI landscape Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., NumPy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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 what’s next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education: Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. 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.

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for Interns in our Data Science Team who are passionate about solving some real world healthcare problems. In this role, they will leverage the healthcare data to build algorithms to personalize treatments based on the clinical and behavioural history of patients. We are looking for superstars who will define and build the next generation of predictive analytics tools in healthcare. A Day in the life Development of various artificial intelligence initiatives to help improve health and wellness of patients Write well-documented maintainable python code Coordinate with the other team members in the development processes Work with the leaders and other stakeholders to understand their pain-points and build large-scale solutions Work with our data platform and to help them successfully integrate the AI capability or algorithms in the platform Define and execute on the roadmap What You Need Strong hands-on experience in Python Understanding of LLMs, Agentic Framework Understanding of Python Frameworks like FastAPI, Django, etc. Experience in manipulating/transforming data, model selection, and model training Knowledge of NLP Libraries like spaCy, NLTK Understanding of Deep Learning Frameworks like Keras, TensorFlow Strong written and spoken communication skills Coordinate management activities with others on the team The core skills we are seeking includes: Python Machine Learning Generative AI Additionally, the following skills are good to have: Natural Language Processing (NLP) Deep Learning Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.