863 Feature Engineering Jobs - Page 26

As a Data Scientist at C5i, you will be part of a team that caters to some of the world's largest enterprises, including Fortune 500 companies across various sectors such as Technology, Media, Telecom, Pharma & Lifesciences, CPG, Retail, and Banking. C5i has garnered recognition from industry analysts like Gartner and Forrester for its Analytics and AI capabilities along with proprietary AI-based platforms. **Key Responsibilities:** - Possess 4+ years of experience in machine learning, deep learning, or AI research, focusing on generative models. - Demonstrated expertise in generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-ba...

Job Description: You will be responsible for leading the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Your key responsibilities will include: - Architecting and integrating networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. - Championing the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. - Overseeing the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless...

Role Overview: You will be working as a Spec Analytics Analyst (C11) in the TTS Analytics team at Citi. Your main responsibilities will include working on various analyses throughout the year to solve business problems related to client acquisition, engagement, client experience, and retention within the TTS business. You will be involved in data science and business analytics projects, developing machine learning models, and communicating insights and recommendations to stakeholders. Key Responsibilities: - Work on multiple analyses throughout the year on business problems across the client life cycle including acquisition, engagement, client experience, and retention for the TTS business -...

You will be responsible for designing and implementing complex technical system architectures that meet business requirements aligned with strategic goals and organizational IT standards. You will collaborate closely with cross-functional teams such as project managers, developers, engineers, DevOps, security, and operations to bring solutions to life. As both a technical subject matter expert and strategic advisor, your role will ensure that solutions are scalable, resilient, secure, efficient, and cost-effective. - **Solution Design & Architecture**: - Create and implement end-to-end cloud-based technology solutions that meet business and IT requirements, focusing on functionality, scalabi...

Job Description Job summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as an Associate/AVP - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLM...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementin...

Responsibilities: Large data management, feature engineering, strong hands on in EDA and feature Engineering using bureau data in banking domain Good to have - Design, implement, and optimize sophisticated machine learning models in Banking domain for Credit Risk modeling. Create Python classes and functions to automate EDA and Feature Transformation process Stay updated on the latest machine learning advancements, actively identifying and integrating cutting-edge techniques to continuously improve our models and address diverse analytical use cases. Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles. Document ...

We are looking for a highly motivated and experienced data scientist to lead the team of Gen-Ai Engineers. As a data scientist, you will be responsible for managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a passion for artificial intelligence and stay updated on the latest developments in the field. You will be expected to utilize frameworks like Langchain for developing scalable and efficient AI solutions. Additionally, you will integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. Working closely with cross-functional tea...

Job summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as an Associate/AVP - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI...

At o9 Solutions, our mission is clear: to be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform, the o9 Digital Brain, we integrate global enterprises" siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn't stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We are looking for the brightest and most committed individuals to join us on our mission. Along the journey, we will provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and t...

As the Lead Data Scientist in the healthcare domain specialist role in Bangalore, you will be responsible for defining the data strategy, leading AI/ML projects, and collaborating with healthcare professionals, engineers, and product teams to deploy scalable AI solutions. Your main focus will be on predictive analytics for elderly fall risk assessment using real-world healthcare datasets while ensuring compliance, ethics, and clinical alignment. You will be involved in various key responsibilities including building and optimizing predictive ML/DL models for elderly fall risk assessment, working with healthcare datasets to discover actionable insights, applying healthcare knowledge to ensure...

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generati...

You are a passionate and skilled Machine Learning Engineer who will be joining our team. Your role will involve designing, building, and deploying robust ML models to solve real-world problems. You will work with large and complex datasets to extract insights and optimize performance. Collaboration with data engineers, product managers, and developers to integrate ML models into production will be a key aspect of your responsibilities. It will be essential for you to continuously improve model performance and reliability through experimentation and tuning. Staying up-to-date with the latest advancements in ML/AI and applying them where relevant is also expected from you. To excel in this rol...

About Impact Analytics Impact Analytics (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last years inputs to forecast and plan this years business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operati...

We are seeking a highly skilled and experienced Data Scientist Project Trainer to join our team in Hyderabad. The ideal candidate will possess proficiency in end-to-end project execution, documentation, and training. As a trainer, your responsibilities will include designing, developing, and delivering real-world data science projects while creating comprehensive documentation and executable files. In terms of project development and execution, you will be tasked with designing and developing real-time data science projects that cover all phases of the data science lifecycle. Your role will involve executing projects from data collection to model deployment with meticulous documentation to e...

The Jr. AI Engineer position based in Bengaluru, Karnataka requires 1-2 years of experience and is a Work From Office (WFO) role. As a member of the expanding AI team, you will be involved in developing LLM-driven products from scratch. Your primary responsibilities will include designing state-of-the-art systems and implementing AI solutions that have a global impact. To excel in this role, you need to possess strong communication skills and problem-solving abilities. A solid programming background is essential, as well as a deep understanding of Transformer architecture. The ideal candidate should have 1-2 years of hands-on experience in AI/ML, specifically working on projects involving Tr...

You will be responsible for conducting Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets. Your primary task will involve developing and implementing Machine Learning models for demand forecasting using Python. Additionally, you will work on feature engineering to enhance model accuracy and performance. Handling time-series data processing for efficient forecasting will be a crucial part of your role. Collaborating with cross-functional teams is essential to deliver actionable insights from data analysis. You will utilize Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation ...

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibil...

As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI i...

As a member of the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Leveraging advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), our team is dedicated to transforming how compliance, conduct, and operational risks are managed across the organization. Joining our CCOR Data Science, Applied AI & ML team, you will play a crucial role in developing AI/ML solutions that enhance compliance and risk management. Your responsibilities will involve leveraging advanced AI / ML techniques, LLMs, and Agen...

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We ...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your t...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your t...

Research, backtest, and trade systematic strategies across asset classes. Build robust data pipelines, feature engineering, and ML models (tree ensembles, linear models, deep learning where justified). Use GenAI to accelerate research notes, code scaffolding, and experiment tracking; maintain strict risk limits and compliance. Strategy research with rigorous validation Backtesting with transaction costs/slippage Python (NumPy/Pandas) and ML (sklearn/torch) Risk management and monitoring GenAI for research acceleration and doc hygiene.

You will be joining a life sciences company that specializes in pharmaceutical regulatory solutions and utilizes AI to address intricate data challenges within specialized fields. As a Machine Learning Engineer, your primary responsibility will be to lead NLP-driven projects and contribute to the development of foundational AI models tailored for domain-specific applications. Your key tasks will involve designing and building machine learning systems in the Pharma Life Science domain, implementing relevant ML algorithms, conducting experiments, and keeping abreast of the latest advancements in the field. Your duties will include developing and refining machine learning models that focus on t...