717 Data Preprocessing Jobs - Page 17

As an Assistant Vice President (C12) in the TTS Analytics team at Citi, you will play a crucial role in leading a team of data scientists and analysts. Your responsibilities will include working on various data science projects throughout the year, focusing on business problems across the client life cycle such as acquisition, engagement, client experience, and retention within the TTS business. You will be expected to understand business needs, design, develop, and deploy machine learning models, and effectively communicate insights and recommendations to stakeholders. Key Responsibilities: - Lead a team of data scientists and analysts responsible for the full lifecycle of machine learning ...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 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. Y...

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

Key Responsibilities Conduct feature engineering, data analysis, and data exploration to extract valuable insights Develop and optimize machine learning models for high accuracy and performance Design and implement deep learning models such as ANN, CNN, and reinforcement learning techniques Handle real-time imbalanced datasets and apply techniques to improve model fairness and robustness Deploy models in production environments and ensure continuous monitoring and updates Collaborate with cross-functional teams to align ML solutions with business goals Apply statistical and mathematical principles to ensure model reliability Integrate latest advancements in ML/AI to drive innovation Requirem...

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

In the role of Senior Manager, Data Analytics at Novartis, you will be responsible for managing and analyzing large volumes of data to extract valuable insights. Your exceptional analytical skills will be utilized to manipulate and interpret complex datasets using various technologies, including programming languages. You will also play a crucial role in fostering strong relationships with global stakeholders and effectively communicating business analyst needs to data engineers or software engineers. Key Responsibilities: - Utilize statistical techniques and data mining methods to analyze large datasets, identify trends, patterns, and correlations to uncover valuable insights - Thoroughly c...

As an AI Specialist/Software engineering professional at a middle to senior level, your role will involve utilizing AI-ML to analyze data and predict process behaviors. It is essential to stay updated on industry trends, emerging technologies, and best practices in data science. Your responsibilities will include providing recommendations for adopting innovative approaches within the product teams and fostering a data-driven culture through knowledge sharing and problem-solving collaboration. Key Responsibilities: - Utilize knowledge of data analysis, Artificial Intelligence (AI), and Machine Learning (ML) to prepare test reports demonstrating test results - Communicate effectively with a co...

As a Data Analyst II at MiQ in Bengaluru, you will be a key player in executing data science projects and promoting data assets within the company. Your role will involve bridging the gap between raw data and impactful business decisions, gaining a deep understanding of media-related datasets, and ensuring actionable insights are delivered by utilizing rich data sources. Key Responsibilities: - Be a part of executing Data Science projects and promoting data assets at MiQ - Act as a bridge between raw data and impactful business and product decisions - Gain in-depth understanding of media-related datasets and ad-tech domain - Ensure actionable insights are delivered by utilizing rich data sou...

As an AI/ML Paid Intern at Vision Infotech, you will be part of a comprehensive IT company that focuses on delivering high-quality web and e-commerce solutions. You will have the opportunity to gain hands-on experience in Artificial Intelligence (AI) and Machine Learning (ML) through real-time projects and practical assignments. Here's what you can expect from the internship program: **Role Overview:** You will be involved in a Paid AI/ML Internship Program designed for students, freshers, and career switchers aiming to kickstart a career in AI and ML. The program will provide you with practical experience, guidance from industry professionals, and exposure to real-time projects. **Key Respo...

Role Overview: You will be joining as a Senior Developer/Lead in Data Science, focusing on Generative AI models and Multi-Agent System Architecture. Your primary responsibilities will include working with Python and various AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Additionally, you will be expected to have experience with frameworks like LangChain, AutoGen, or similar for multi-agent systems and possess strong knowledge in data preprocessing, feature engineering, and model evaluation techniques. Key Responsibilities: - Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with Generative AI models like Azure OpenAI GPT and Mul...

As a Data Science professional at Birlasoft, you will be responsible for leveraging your expertise in Data Science, Machine Learning, and NLP technologies to drive innovation and efficiency in business processes. Your role will involve working with cutting-edge Agentic AI frameworks such as LangGraph, LlamaIndex, and MCP to develop and deploy state-of-the-art generative models for natural language processing tasks. Your contributions will play a crucial role in shaping the future of Artificial Intelligence. Key Responsibilities: - Possess 10+ years of experience in Data Science, Machine Learning, and NLP technologies. - Demonstrate a solid understanding of model development, model serving, a...

Role Overview: You will be joining the Birlasoft team as a DataScience professional with a focus on Agentic AI frameworks. Your primary responsibility will be to utilize your expertise in data science, machine learning, and NLP technologies to develop and implement state-of-the-art generative models for natural language processing tasks. You will work closely with cross-functional teams to identify business requirements and deliver solutions that meet customer needs. Additionally, you will stay updated with the latest advancements in generative AI and LLM. Key Responsibilities: - Possess a minimum of 10 years of experience in Data science, Machine learning, and NLP technologies. - Demonstrat...

Role Overview: A Postdoctoral Research Associate position is available at the University of York in the Psychology Department. The role involves working on a project focused on continual learning in collaboration with Google DeepMind research scientists. The project aims to understand mechanisms of learning using a unique multimodal data set called EgoActive, which includes egocentric audio-video recordings and physiological signals from infants and adults. The findings of the project will contribute to advancements in machine learning and human mind development. Key Responsibilities: - Design and conduct research to train large-scale models in a self-supervised regime using data from infant...

As a Large Language Model Architect at TechGlobal, you will be responsible for leading the design, development, and optimization of advanced neural architectures for natural language understanding and generation. Your role will involve collaborating across multiple teams to refine model performance, guide strategic AI decisions, and mentor teams in applying cutting-edge approaches in NLP. **Key Responsibilities:** - Act as a Subject Matter Expert (SME) on Large Language Models. - Architect and design neural network parameters for high-performing LLMs. - Oversee team contributions, ensuring alignment with business and technical goals. - Collaborate cross-functionally, influencing decision-mak...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...

Role Overview: Join Cisco's AI Platform Team to shape the future of enterprise AI by creating the next-generation foundation that powers intelligent, secure, and scalable AI solutions across Cisco's ecosystem. You will collaborate with AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact for millions of users worldwide. If you are passionate about solving technical problems and transforming enterprise security and networking with AI, this is the place for you. Key Responsibilities: - Model Training & Evaluation: Conduct full training, fine-tuning, and validation of LLMs for virtual assistants, chatbots, and rec...

At MORPHIUS AI, you'll be part of a team that is shaping the future of business automation using artificial intelligence. As an innovator and technology enthusiast, you'll contribute to creating solutions that have a real impact. Collaboration, cutting-edge projects, and skill development are at the core of our values. If you're passionate about AI's potential to revolutionize businesses and seek to be a part of a progressive team, we welcome your application. **Key Responsibilities:** - Design and implement machine learning models to address intricate business challenges **Qualifications Required:** - Minimum 3 years of experience in machine learning - Proficient in Python and ML frameworks...

We are looking for a passionate and curious AI/ML Engineer to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, ...

Job Description Role and Responsibilities Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions. Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights. Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization. Translate a...

As a Lead Data Scientist in 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, and Machine learning technologies, including Large Language Models (LLMs), you will transform how compliance, conduct, and operational risks are managed across the organization. **Key Responsibilities:** - Design, deploy, and manage AI/ML models using advance AI/ML techniques, LLMs, and Agentic AI for developing compliance and risk management solutions. - Conduct research on AI techniques to enhance model performance in co...

**Job Description:** As a C14 (People Manager) in the Financial Crimes & Fraud Prevention Analytics Model Development team at Citi Analytics & Information Management (AIM) based in Pune, India, you will play a crucial role in leading a team of 15+ data scientists. Your primary responsibility will be to oversee the successful development and implementation of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI models on various platforms to mitigate fraud losses and minimize customer impact. You will work closely with the model implementation team, ensure model documentation, and address questions from model risk management (MRM) while adapting to business needs. Additional...

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards. What you will do: Implement technical requirements by analyzing and optimizing their needs while managing any constraints ef...

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards. What you will do: Implement technical requirements by analyzing and optimizing their needs while managing any constraints ef...