6634 Keras Jobs - Page 50

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United...

Role Overview: You will be responsible for studying and transforming data science prototypes, designing machine learning systems, researching and implementing appropriate ML algorithms and tools, developing machine learning applications, selecting datasets and data representation methods, running machine learning tests and experiments, performing statistical analysis and fine-tuning using test results, training and retraining systems when necessary, and keeping abreast of developments in the field. Key Responsibilities: - Study and transform data science prototypes - Design machine learning systems - Research and implement appropriate ML algorithms and tools - Develop machine learning applic...

As a Technical Content Developer at NxtWave, you will be leading your technical pod to create and refine industry-relevant content for students. Your role will involve developing engaging materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Collaboration with internal teams and Subject Matter Experts (SMEs) externally will be key to managing technical content tracks, analyzing industry trends, and delivering high-quality outcomes that enhance learners" skills and employability. **Key Responsibilities:** - Lead a team of Associate technical content developers to ensure timely and high-quality content creation. - Develop high-quality, in...

As an AI/ML Engineer at Siemens Energy, you will be part of a forward-thinking team dedicated to harnessing the transformative power of AI within the energy sector. Your key responsibilities will include: - Partnering with developers in Agile teams to merge LLMs and classical AI into end-user apps, emphasizing user experience and real-time performance. - Customizing LLMs by tailoring pre-trained models to meet business needs using timely engineering, transfer learning, and few-shot methods. - Ensuring data hygiene by collecting, cleaning, and preprocessing large datasets to ensure high-quality input for AI models. - Validating and reporting the performance of AI models using appropriate metr...

As an experienced Machine Learning Engineer, your primary responsibility will be to develop and implement advanced ML models in areas such as computer vision, NLP, and generative AI. You will work on collecting, preprocessing, and analyzing diverse datasets to create robust models. Staying updated with the latest research and experimenting with new techniques to enhance model performance will be crucial. Collaboration with cross-functional teams to integrate machine learning solutions into production systems is essential. Additionally, you will be optimizing models for speed, accuracy, and scalability, continuously improving them based on feedback. Keeping detailed documentation of processes...

As a Manager - Data Scientist at EY, you will play a crucial role in leading the development and implementation of advanced analytics, machine learning, and artificial intelligence solutions. Your responsibilities will include: - Leading the development and implementation of advanced analytics, machine learning, and artificial intelligence solutions across various platforms such as Azure, Google Cloud, and on-premises environments. - Designing and overseeing the creation of scalable AI/ML models and algorithms to solve complex business problems and generate actionable insights. - Driving the adoption and implementation of General AI use cases, ensuring alignment with business objectives and ...

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics, your role at the company will be critical in designing and developing advanced systems for video data processing and analysis. You will be leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Your involvement will be integral in the entire lifecycle of the product - from ideation to deployment. **Key Responsibilities:** - Lead and mentor a team of engineers in creating systems, algorithms, and optimizations for computer vision - Collaborate with cross-functional teams to understand project requirements and objectives - Design and imp...

Role Overview: You have an exciting opportunity to advance your Applied AI engineering career as an Applied AI ML Associate Sr at JPMorgan Chase within the Consumer and Community Banking - Wealth Management. In this role, you will be part of an agile team responsible for designing and delivering market-leading technology products in a secure, stable, and scalable manner. Your key responsibility will be to implement critical technology solutions across multiple technical domains to support various business functions in achieving the firm's objectives. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with a focus on innovative approaches to...

As a Solution Architect for Generative AI at Siemens Healthineers (SHS), your role will involve designing, building, and operating AI services. You will be responsible for developing and maintaining artificial intelligence systems and applications that address complex business challenges. Your expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies will be essential for the success of this role. Key Responsibilities: - Design, develop, and deploy Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions. - Collaborate with cross-functional teams to design and implement AI solutio...

Key Responsibilities : Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engineers and data scientist...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Job title: AIML Engineer Work Location: Bangalore Center of Competency: AIML Department: IoT Reports to: Lead Research Engineer - AIML n Full-time o Part-time Essential Duties And Responsibilities  As an AIML Engineer, you will develop and implement machine learning models and algorithms to solve complex business problems.  Use Statistical methods to understand the datasets, draw elementary insights and decide on algorithms.  Perform data pre-processing, feature engineering, and model selection to improve model performance.  Own the end-to-end process of development (conducting experiments for data generation to model development).  Develop metrics relevant for evaluation of model perfo...

Responsibilities: * Design, develop, test and maintain Python applications using Tensorflow, Keras, Scikit-Learn. * Collaborate with cross-functional teams on project delivery.

Machine Learning Engineer with deep expertise in designing, deploying, and optimizing scalable AI solutions in cloud environments. Expert in Python and ML frameworks: YOLO, TensorFlow, PyTorch, OpenAI APIs , Azure.

Requirements : Bachelors or Master of Science Degree in Computer Science, or related field Required 5+ years professional experience as a software engineer in machine learning, natural language processing, and data science (design and coding) Strong understanding and hands-on experience of AI and any of ML, DL, NLP, RL etc. Strong understanding of data science principles and processes Experience with NLP, LLMs, deep learning and working with typical data used in such models Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Strong programming skills in one or more programming languages (Python, R, Scala) Proficiency in popula...

Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with business stakeholders to u...

A Machine Learning Engineer is responsible for designing and developing machine learning and deep learning systems, running machine learning tests and experiments, and implementing appropriate ML algorithms. They work closely with data scientists and are primarily involved in handling large-scale data sets, creating scalable and efficient algorithms, and ensuring that the models are deployed successfully into production. This role requires a blend of data engineering, LLM building knowledge, and practical application of machine learning techniques and algorithms. Role & responsibilities Designing and developing machine learning and deep learning systems. • Running machine learning tests and ...

Job Summary We are seeking an experienced and self-driven AI/ML Consultant Engineer with a minimum of 6 years of experience. The ideal candidate will possess deep technical expertise in machine learning, data analysis, and scalable solution development, along with a sound understanding of engineering and AI ethics. This role requires the ability to analyze complex application architectures, design effective AI solutions, and take full ownership of implementation with a focus on quality, performance, and maintainability. Key Responsibilities Fully understand existing application structures, data flows, and functionality to propose scalable AI solutions. Design, develop, and optimize machine l...

Clustrex is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training an...

About The Role Skill required: Marketing Operations - Campaign Management Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more t...