31 Ensemble Methods Jobs

Role Overview: You will be joining the Data Science team at BOLD, where you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your primary focus will be on leveraging the vast user data sets to drive product development, enhance existing products, and uncover relationships within the data to innovate new products. Key Responsibilities: - Work on data science projects involving NLP, large language models, predictive modeling, statistical analysis, vector space modeling, and machine learning - Utilize rich user data sets to conduct research, develop data models, and collaborate with Development & Product teams - Create ...

Learn more: www.upgrad.com/offline-centres About the Role As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow. 6 Reasons to Join upGrad Offline Learning Centres 1. Career Growth & SME Pathway: Accelerate your career with opportunities to move into leadership roles and grow as a Subject Matter Expert by co...

As a Senior Machine Learning Engineer at our AI team, your role will involve designing, developing, and deploying machine learning and deep learning models. You will conduct advanced data preprocessing, feature engineering, and model evaluation. Additionally, you will implement optimization techniques for algorithm performance and scalability, utilizing Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras for model development. Building interactive dashboards using Streamlit, Plotly, and other visualization tools will also be part of your responsibilities. Collaboration with cross-functional teams including data engineering, product, and software development is essential. R...

What's The Role As a Senior Data Scientist in the Loyalty & CRM team, you will play a critical role in designing, automating, and scaling advanced analytics and machine learning solutions that drive customer engagement, retention, and lifetime value. You will work cross-functionally with data engineering, architects, product, and agency teams to deliver high-impact, scalable solutions aligned with business goals. This role demands strong technical expertise, business acumen, and the ability to communicate complex insights in a simple, compelling way. What You'll Be Doing Business Workflow Understanding: Understand the end-to-end business workflow and identify opportunities for analytics to a...

Role Overview: As a part of the Data Science team at BOLD, you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your role will involve leveraging vast user data sets to drive product development, enhance existing products, and discover inferences and relationships in data to facilitate the creation of new products. Key Responsibilities: - Work on data science projects involving NLP, large language models, predictive modeling, statistical analysis, vector space modeling, and machine learning - Utilize rich user data sets to conduct research, develop models, and create data products in collaboration with Development & ...

Role Overview: As an Instructor at upGrad's Offline Learning Centres, you will be responsible for delivering engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. Your role will involve ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This position offers a unique opportunity to combine your passion for technology and education while contributing to shaping the careers of tomorrow. Key Responsibilities: - Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning, and related domains. - Guide learners through concepts, case studie...

Area(s) of responsibility Job Title: Systems Architect for NLP-Based Question Answering System Updated Job Description We are looking for an experienced Systems Architect to spearhead the development of a state-of-the-art question answering system. This role is unique as it involves creating a system that leverages advanced NLP algorithms without the use of generalized AI or large language models. The successful candidate will be responsible for building a robust backend architecture, focusing on efficiency, scalability, and accuracy. Key Responsibilities System Design and Architecture NLP and Algorithm Development Data Management and Processing Technical Capabilities Proficiency in NLP tech...

Role Overview: You will be responsible for developing, training, and deploying machine learning, deep learning AI models for various business use cases such as classification, prediction, recommendation, NLP, and Image Processing. Additionally, you will design and implement end-to-end ML workflows, collect and preprocess structured and unstructured data, perform exploratory data analysis, apply advanced machine learning algorithms, and integrate models into business applications. Key Responsibilities: - Develop, train, and deploy machine learning, deep learning AI models for business use cases. - Design and implement end-to-end ML workflows from data ingestion to model deployment and monitor...

Role Overview: As a Data Scientist at our company, you will be responsible for developing and deploying advanced machine learning models using ensemble methods and cutting-edge ML algorithms in the US banking domain. Your expertise in this field will be crucial in contributing to our dynamic team. Key Responsibilities: - Develop and assist in deploying advanced machine learning models, specifically ensemble techniques, for various customer lifecycle use cases within the banking sector such as prescreen, acquisition, account management, collections, and fraud. - Collaborate with cross-functional teams to define, develop, and enhance predictive models that play a significant role in driving bu...

Role Overview: As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product using cutting-edge technologies. Your focus will be on implementing advanced algorithms and models to solve complex problems related to anomaly detection, forecasting, event correlation, and fraud detection. Key Responsibilities: - Develop production-ready implementations of proposed solutions across various machine learning and deep learning algorithms, including testing on live customer data to enhance efficacy and robustness. - Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. - Impleme...

Job Title: Instructor Offline Learning Centre Location: Coimbatore Working Days: 6 (Monday Saturday) About upGrad Founded in 2015, upGrad is Asia's largest integrated Learning, Skilling, Workforce Development, and Placement company. Its offerings include online and hybrid degrees, study abroad programs, certifications, bootcamps, and doctorates for working professionals. Through its B2B arm, upGrad also provides enterprise training, recruitment, and staffing services. With 10M+ learners across 100+countries, 300+ global university partners, 2500+ pathway connections, and 20,000+ recruitment partners, upGrad continues to empower careers worldwide. Learn more: www.upgrad.com/offline-centres Ab...

As an AI/ML (Associate Role) at Navaera Worldwide, you will have the opportunity to work in the areas of Data Analytics, Computer vision, NLP, OCR related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you will be expected to handle digital data extraction and processing, create training and testing pipelines with different aspects of data, and develop model architecture from scratch or transform pre-trained models. Staying updated with the latest AI trends to ensure the process is up-to-date is crucial. You will also identify opportunities for process improvements and recommend syst...

Role Overview: As a Senior Data Scientist, you will play a crucial role in leading data-driven projects and shaping the data science strategy of the company. Your responsibilities will include developing advanced algorithms, managing large datasets, and mentoring junior team members. Key Responsibilities: - Design and implement complex statistical models and machine learning algorithms. - Lead data science projects from inception to deployment, ensuring high-quality deliverables. - Provide technical mentorship and guidance to junior data scientists. - Collaborate with business stakeholders to define project objectives and offer actionable insights. - Explore and implement new technologies an...

Role Overview: You will be joining the Data Science team at BOLD where you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your main responsibilities will include driving product development by leveraging user data sets, discovering patterns in data, and developing predictive algorithms and models. Key Responsibilities: - Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. - Leverage rich data sets of user data to perform research, develop models, and create data products with Development & Product teams. - Deve...

Job Description Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM's Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan's own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies ...

As a Mid Data Scientist at EY, you will be part of the PDT DD&T (Data, Digital & Transformation) team, leveraging advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Your role will involve collaborating with cross-functional teams, analyzing datasets, building predictive models, and helping shape data strategies to enhance organizational performance. You will support the Senior Data Scientist and team members in solving problems, analyzing data, and finding solutions. Additionally, you will play a key role in the design, development, and deployment of advanced statistics, data science, and Artificial Intelligence (AI/ML) solution...

Business Function The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organization's strategic objectives Responsibilities Design, develop, and deploy advanced AI/ML models to extract actionable insights, automate processes, and support strategic decision-making across business units Design and collaborate wi...

As a Senior Machine Learning Engineer at our company, you will be an integral part of the AI team, leveraging your 4+ years of experience in building and deploying production-grade ML models. Your role involves designing, developing, and deploying machine learning and deep learning models, conducting advanced data preprocessing, and implementing optimization techniques for algorithm performance and scalability. You will work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras, and build interactive dashboards using Streamlit, Plotly, and other visualization tools. Collaboration with cross-functional teams, research, and implementation of state-of-the-art ML/AI algorit...

Role Overview: As an Instructor at the Offline Learning Centres, you will be responsible for delivering engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. Your role will be crucial in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This position offers a unique opportunity to blend your passion for technology and education while shaping the careers of future professionals. Key Responsibilities: - Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning, and related domains. - Guide learners through concepts, case studies, an...

Role Overview: Straive is seeking a dynamic individual to lead a team of Data scientists in delivering complex models to address business problems. As a part of the team, you will be responsible for applying your expertise in Machine Learning, NLP, Reinforcement Learning, and Deep Learning to enhance search, browse, autocomplete, and recommendations experiences. Additionally, you will be involved in building, deploying, and maintaining predictive models for various purposes such as search relevance, query understanding, ranking, personalization, product sale forecasting, and product recommendation systems. You will have the opportunity to manage multiple projects independently, collaborate w...

Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM's Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan's own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in...

As a Data Scientist at DataBeat.io, you will have the opportunity to work with leading companies globally, shaping the technology world with breakthrough solutions and cutting-edge tools. With a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field, along with 6+ years of proven experience in data science and successful project leadership, you will play a crucial role in the big data and analytics ecosystem. Your responsibilities will include a deep understanding of advanced machine learning techniques like deep learning and ensemble methods, as well as experience in projects involving LLMs and GenAI models. Proficiency in programming lang...

You will be part of a dynamic team as an experienced Data Scientist specializing in advanced machine learning techniques. Your main responsibilities will involve developing and deploying models using ensemble methods and cutting-edge ML algorithms, particularly in the US banking domain. Your key responsibilities will include developing and deploying advanced machine learning models, specifically ensemble techniques, for various customer lifecycle use cases such as prescreen, acquisition, account management, collections, and fraud. You will collaborate with cross-functional teams to define, develop, and enhance predictive models that support business decisions. Working with large datasets, yo...

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robus...

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable ...