216 Rnn Jobs - Page 9

Project Role :Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and best practices among team members to enhance overall team performance.- Develop and implement strategies to optimize AI and machine learning models for improved efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of image processing techniques and algorithms.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data augmentation and preprocessing methods for computer vision tasks.- Ability to implement and optimize convolutional neural networks for various applications. Additional Information:- The candidate should have minimum 12 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role :AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services and tools.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots and conversational agents.- Familiarity with image processing techniques and applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a highly skilled and experienced Linguist to join our team in the IT Services & Consulting industry. The ideal candidate will have 7-9 years of experience. Roles and Responsibility Develop and implement language-related projects, including text analysis and machine learning. Collaborate with cross-functional teams to design and deliver language-based solutions. Conduct research on language trends and patterns to inform business decisions. Create and maintain large-scale language databases and data systems. Work closely with stakeholders to understand business needs and develop tailored language solutions. Stay up-to-date with industry developments and advancements in linguistics and NLP. Job Requirements Strong proficiency in one or more programming languages, such as Python, R, or Java. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Excellent understanding of statistical concepts and their application in linguistic analysis. Strong analytical and problem-solving skills, with attention to detail and the ability to work independently. Effective communication and collaboration skills, with the ability to work with diverse stakeholders. A strong academic background in linguistics or a related field, with a Master's degree in a relevant discipline.

We are looking for a highly skilled and motivated Junior NLP Engineer with 2 to 4 years of experience to join our team at Archstore, focusing on Natural Language Processing (NLP) techniques. The ideal candidate will have expertise in named entity recognition (NER) and ontology design. Roles and Responsibility Design and develop NLP models for entity recognition and classification. Collaborate with cross-functional teams to integrate NLP capabilities into existing systems. Develop and maintain large-scale datasets for training and testing NLP models. Implement data preprocessing and cleaning techniques to ensure high-quality input for models. Conduct thorough analysis of model performance and recommend improvements. Stay updated with the latest advancements in NLP and apply this knowledge to improve our products. Job Requirements Strong understanding of NLP concepts, including text representation, feature extraction, and machine learning algorithms. Experience with programming languages such as Python or Java is required. Familiarity with deep learning frameworks like TensorFlow or PyTorch is preferred. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate complex ideas effectively. Strong analytical and critical thinking skills, with the ability to interpret complex data sets.

Collaborate with cross-functional teams to understand business requirements and develop AI-based solutions Utilize AI modeling and machine learning techniques to analyze data and create predictive and forecasting models Apply time series models to identify patterns and trends for proactive maintenance strategies Implement regression, logistic regression, decision tree, random forest, xgboost, bagging, and boosting algorithms to optimize predictive models Design and deploy industrial AI and IIOT solutions to enhance operational efficiency and reliability Utilize artificial neural networks, deep learning, computer vision, RNN, CNN, and reinforcement learning to develop advanced AI solutions Collaborate with experts to build recommendation engines and expert systems for AI-based applications Provide technical expertise and support to internal teams and external clients Stay updated with the latest AI technologies and contribute to the development of innovative solutions Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Responsibilities: Serve as expert in Data Science, build framework to develop Production level DS/AI models. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Experience with cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization. Familiarity to deploy and monitor ML models in production, delivering data products to end-users. Experience with ML CI/CD pipelines.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - Scool of Economics Responsibilities: Serve as expert in Data Science, build framework to develop Production level DS/AI models. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Experience with cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization. Familiarity to deploy and monitor ML models in production, delivering data products to end-users. Experience with ML CI/CD pipelines.

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Knowledge in cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Senior Technical Lead (AI-DLML) Job Role & responsibilities Understand operational needs by collaborating with client specialized teams Formalize needs into mathematical models and problems Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns Choose relevant techniques and create data processing solutions for the identified needs Present and promote the solutions to the relevant stakeholders Implement and deliver solutions by contributing individually as well as leading teams Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.) Mandatory Skills Minimum 7+ years of hands-on professional experience in machine learning (ML), deep learning (DL) and artificial intelligence (AI) Minimum 7+ years of coding skills in programming languages (required: Python; appreciated: R, Java/ Scala), SQL 5+ years of proficiency in popular ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Theano, Sklearn, Pandas, NumPy, Matplotlib, etc.) Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering & selection, building, validating, and deploying predictive models, explaining model results and insights to client/stakeholders Proficiency in AI, ML, DL techniques such as regression, classification, segmentation, anomaly and novelty detection, dimensionality reduction, tree-based algorithms, support vector machine, recommender system, attribution modelling to address business problems. Deep understanding of neural networks, deep learning, and generative models (e.g., RNNs, CNNs, LSTMs, GANs, VAEs, etc.). Experience with 2-3 ML/DL model deployment in Azure (AzureML, Databricks, etc) is preferable Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills

Role & responsibilities Role Overview: We are looking for a skilled Software Engineer Machine Learning with 3–5 years of experience in developing and deploying AI/ML solutions at an enterprise level. The ideal candidate will have hands-on expertise in Computer Vision, Deep Learning , and Generative AI , along with strong programming and problem-solving skills. You will work on innovative AI-driven GIS applications, multimodal models, and real-time feature detection systems, contributing to the design and enhancement of AI/ML platforms across the organization. Must Have: 3–5 years of hands-on experience in designing or implementing AI/ML solutions, preferably in enterprise or large-scale environments. Strong programming skills in Python , including use of libraries such as TensorFlow, Keras, NumPy, Pandas, scikit-learn, and OpenCV. Experience with Convolutional Neural Networks (CNNs) for real-time object detection using models like YOLO , and segmentation using SAM and U-Net , with practical use of multiple backbones. Proficiency in image classification using CV models like VGG, YOLOv5 , etc. Experience with machine learning algorithms —both supervised and unsupervised—for classification and regression tasks. Experience in Generative AI and Large Language Models (LLMs) , including speech-to-text and multi-modal input models. Strong knowledge of data structures, algorithms , and mathematics/statistics related to AI. Experience with LSTM/Recurrent Neural Networks (RNNs) or hybrid neural architectures. Basic understanding of computer vision concepts and GIS support functions . Should Have: Understanding of MLOps/LLMOps workflows for scalable AI deployments. Experience with agent-based AI systems (Agentic AI) or agent design patterns. Experience working with or contributing to enterprise-grade data platforms , ensuring performance and interoperability with AI workloads. Exposure to segmentation techniques for extracting coarse features and creating multiple image segments. Good communication, collaboration, and analytical skills for engaging with cross-functional teams. Could Have: Certifications in AI/ML or cloud platforms (AWS, Azure, GCP). Familiarity with Theano, SciPy , and other scientific computing libraries. Experience in AI-focused research, innovation programs , or open-source contributions. Interest in exploring emerging AI paradigms such as federated learning , multi-agent systems , and Responsible AI practices.