142 Lstm Jobs - Page 3

Experience: 4+ years Requirements: Excellent knowledge of computer vision concepts, including but not limited to Image Classification, Object Detection, and Semantic Segmentation, developed using state-of-the-art deep learning algorithms. Hands-on experience developing efficient and real-time convolutional neural network (CNN) models for computer vision tasks. Strong proficiency in at least one of the deep learning frameworks, such as PyTorch, TensorFlow, or Caffe, with the ability to apply them to computer vision problems. Quick prototyping skills in Python and coding and debugging proficiency in C++. Good communication and collaboration skills to work effectively in a team and communicate complex technical concepts. Qualifications: A Ph.D. degree (including candidates at various stages of their Ph.D., such as thesis submission, thesis submitted, degree awaited, synopsis seminar completed, defense completed) in Deep Learning with hands-on coding skills and a passion for an industrial career will be preferred. Master's or Bachelor's degree with thorough industrial work experience in developing computer vision applications using deep learning. Postgraduates or Undergraduates with a strong academic background in Deep Learning, Computer Vision, or related fields, and demonstrated coding skills, are also encouraged to apply. Preferred: Publications in top-tier computer vision conferences like CVPR, ICCV, ECCV, or major AI conferences like NeurIPS. Knowledge of computer vision libraries and tools, including OpenCV and DLib, and a solid understanding of image processing and computer vision fundamentals. Hands-on experience with model compression and pruning techniques in deep learning. Good exposure to various deep learning architectures, such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) networks. Familiarity with GPU programming (e.g., CUDA, OpenCL) for efficient deep-learning computations. Pay is competitive as per market standards. Show more Show less

Job Title : AI/ML/NLP : : 3+ : Immediate Joiners Responsibilities : Design, develop, and optimize machine learning models specifically for Natural Language Processing (NLP) and Optical Character Recognition (OCR) use cases. Build and maintain a variety of classification and regression models utilizing libraries such as Scikit-learn and other relevant machine learning frameworks. Leverage deep learning architectures, including Convolutional Neural Networks (CNN), Region-based Convolutional Neural Networks (R-CNN), and Long Short-Term Memory networks (LSTM), for the development of advanced AI models. Work extensively with NLP libraries such as SpaCy, NLTK, and Transformers for tasks including language modeling, text processing, and information Skills : Strong and demonstrable proficiency in Python programming. Deep practical experience with core Python libraries for data science, including NumPy, Scikit-learn, and Pandas. Solid foundational background in Machine Learning principles and techniques, encompassing supervised and unsupervised learning methodologies, as well as regression to Have : Experience with major cloud platforms (AWS, Google Cloud Platform (GCP), Microsoft Azure) for the deployment of machine learning models and applications. Exposure to MLOps practices and the development of automated model deployment overview : smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of start-ups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our in-house products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. (ref:hirist.tech) Show more Show less

As a Principal AI Engineer, he will be part of a high performing team working on exciting opportunities in AI within Ford Credit. We are looking for a highly skilled, technical, hands-on AI engineer with a solid background in building end-to-end AI applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AIDevelop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . He should be able to lead technical discussion and technical mentor for the team. Professional Experience: Potential candidates should possess 10+ years of strong working experience in AI. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on experience with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Software engineering with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Excellent in communication and presentation skills. Ability to do stakeholder management. Ability to collaborate with a cross-functional team involving data engineers, solution architects, application engineers, and product teams across time zones to develop data and model pipelines. Ability to drive and mentor the team technically, leveraging cutting edge AI and Machine Learning principles and develop production-ready AI solutions. Mentor the team of data scientists and assume responsible for the delivery of use cases. Ability to scope the problem statement, data preparation, training and making the AI model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Understanding of statistics and hypothesis testing.

Job Description As a Principal AI Engineer, he will be part of a high performing team working on exciting opportunities in AI within Ford Credit. We are looking for a highly skilled, technical, hands-on AI engineer with a solid background in building end-to-end AI applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AIDevelop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . He should be able to lead technical discussion and technical mentor for the team. Responsibilities Excellent in communication and presentation skills. Ability to do stakeholder management. Ability to collaborate with a cross-functional team involving data engineers, solution architects, application engineers, and product teams across time zones to develop data and model pipelines. Ability to drive and mentor the team technically, leveraging cutting edge AI and Machine Learning principles and develop production-ready AI solutions. Mentor the team of data scientists and assume responsible for the delivery of use cases. Ability to scope the problem statement, data preparation, training and making the AI model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Understanding of statistics and hypothesis testing. Qualifications Professional Experience: Potential candidates should possess 10+ years of strong working experience in AI. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on experience with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Software engineering with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Senior Developer Overall Years of Experience-3 to 5 years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Roles and Responsibilities Essential Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc. Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name EY- Assurance – Senior - Digital Position Level Senior Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Requirements (including experience, skills, and additional qualifications) Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. 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. 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Required Skills/Qualifications : - 3-12 years of experience in AI/ML related work - Extensive experience in Python - Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis - Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers - Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras - Experience with GenAI, LLMs, RAG architecture would be a plus - Familiarity with cloud services such as AWS, Azure - Familiarity with version control systems (e.g., Git), JIRA, Confluence - Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro - Knowledge of CI/CD pipelines and DevOps practices - Experience delivering customer facing AI Solutions delivered as SaaS would be a plus - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Strong problem-solving skills and attention to detail - Excellent verbal and written communication and teamwork skills

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

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Type: Full-time Pay: From ₹180,000.00 per year Benefits: Provident Fund Schedule: Fixed shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : Manager Advanced Analytics & ML – Financial Services Responsibilities This is for an opening at the Manager level in the Data and Analytics division at PwC India. The role will be centered around Financial services domain. A successful candidate is expected to work pro-actively and effectively on multiple client engagements and take ownership of the entire project delivery. This includes having project management skills, technical and/or functional expertise, and commitment to comply with the PwC delivery quality expectation. Further, this role requires a candidate with strong interpersonal skills, who not only enjoys the challenge of working with other teams but externally with a variety of clients as well. Strong personal and professional presence and self-confidence, capable of working effectively with senior team as well as all other levels. The candidate will be required to showcase excellent communication skills and will have demonstrated consistently the skill and capability in delivering impactful and insightful projects in the past. He/she will also be required to participate in client meetings, understand the business needs and then design end to end machine learning and analytics solutions to fulfill those business needs. They will also be expected to contribute to practice or Firm development. This may be adjudged in various ways such as serving as a mentor to other team members, by leading training/development initiatives, contributing to thought leadership papers, and developing reusable assets. Detailed role and responsibilities are provided below: Roles and Responsibilities: Develop, Review and implement Solutions applying advanced analytics techniques including but not restricted to Machine Learning, Deep Learning, AI, NLP and Visualization Troubleshoot, isolate and remediate model errors. Work on and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project leaders to analyse resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject Ability to lead business development initiatives including responding to RFPs, preparation and delivery of client presentations with the objective of sales and business development. Ability to manage cross functional teams and mentor junior team members Understanding of statistical methods to enable appropriate interpretation of results Experience analyzing programs through the lens of client requirements and design optimal solutions for fulfilling those requirements. Conceptual thinking and ability to find innovative ways to solve analytical problems Should have worked on multiple analytics consulting and implementation projects Skills & Qualifications Required: Minimum 8-10 years of experience in advanced analytics and machine learning space with at least 4-6 years of experience in financial services. Advanced understanding and hands-on experience in SQL and at least one of R or Python. Basic exposure to other statistical packages such as R, Python and SAS. Deep understanding of predictive algorithms such as logistic regression, linear regression, decision trees, random forest, xgboost, SVM etc. and clustering algorithms such as k-means, k nearest neighbour, hierarchical etc. Hands on experience in NLP and deep understanding of text analytics algorithms and modelling workflow Good knowledge of neural networks, deep learning, RNN, CNN, LSTM etc, Working knowledge of big data environment setups such as Spark, PySpark, Hive, Hadoop etc. Advanced understanding of Cloud (AWS, Azure, etc.) and good exposure to Azure/AWS machine learning workbench and MLOps workflow. Excellent verbal and written communication skills. Experienced in creating power point presentations, dashboards, solving complicated client problems and communicating the precise insights. Strong organizational skills & the ability to prioritize and work on projects with great efficiency & attention to the details. Minimum qualification – B.E; MBA is preferred (with at least 5 years of exp. post MBA) Mandatory Skill Sets Advanced Analytics & ML Preferred Skill Sets Advanced Analytics & ML Years Of Experience Required 9+ Education Qualification BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Advanced Analytics Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

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

Bangalore, India Hyderabad, India Chennai, India Job ID: R-1075847 Apply prior to the end date: August 8th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What we’re looking for... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Principal Engineer-AI Science Save Bangalore, India, +2 other locations Technology Engineer III Specialist-AI Science Save Hyderabad, India, +2 other locations Technology Senior Engineer Consultant-AI Science Save Chennai, India, +1 other location Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name EY- Assurance – Senior - Digital Position Level Senior Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Experience with distributed computing frameworks such as PySpark and Dask. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Experience with distributed computing frameworks such as PySpark and Dask. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 2+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. Strong expertise in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

Job TitleAI/ML Architect Location: Bangalore / Pune Experience: 10+ Years Job Type: Full-Time | Work Mode: Hybrid Job Summary We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains. Key Responsibilities Customer Engagement & Solution Architecture Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions. Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture. Create detailed system design documents, architecture diagrams, and technical roadmaps. Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows. GenAI & RAG Architecture Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch. Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization. Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance. AI/ML Model Development & MLOps Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines. Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML. Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems. Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps). Technical Leadership & Governance Review and approve system designs, PoCs, and implementation approaches. Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers. Lead architectural decision-making, code quality reviews, and sprint grooming sessions. Champion best practices in security, compliance, scalability, and performance optimization for AI/ML solutions. Project Management & Collaboration Own end-to-end technical delivery of AI/ML and GenAI projects across multiple domains (e.g., BFSI, Retail, Healthcare, Manufacturing). Coordinate with product owners, business analysts, data engineers, and DevOps teams to ensure seamless delivery. Manage stakeholder expectations, project timelines, and resource allocation efficiently. Required Qualifications 10+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions. Minimum 2-3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment. Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc. Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval. Deep knowledge of Machine Learning and Deep Learning algorithmsCNNs, RNNs, LSTMs, Transformers, etc. Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER. Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas. Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure. Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes. Solid understanding of MLOps/LLMOps lifecyclepipeline automation, model registry, monitoring, CI/CD. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Certification in AWS/GCP or ML specializations. Experience in leading large-scale AI transformation programs. Why Join Us Work with cutting-edge GenAI and AI/ML technologies and projects. Collaborate with top-tier clients and drive real-world impact. Leadership opportunities in a growing AI/ML practice.