15 Crossvalidation Jobs

As a Specialized Analytics Senior Analyst at our company, you will be a seasoned professional contributing to the development of new techniques and processes within the analytics field. You will be responsible for integrating subject matter expertise and industry knowledge to evaluate complex issues and provide valuable insights to drive business objectives. Your role will have a significant impact on project outcomes and team performance within the area. **Responsibilities:** - Partner closely with Strategy partners and Model Risk Management validators throughout the model lifecycle, including validation, ongoing evaluation, and annual reviews. - Develop, validate, and test fraud detection ...

As a Senior ML Engineer, you will apply machine learning engineering and applied data science techniques to design, train, and evaluate models that directly impact industrial performance, working closely with engineers and the Product Operations team. This is a hands-on role for someone who thrives on ownership, experimentation, and delivering real-world impact. You will play a key role in advancing the intelligence and reliability of industrial processes powered by Batch AI. Responsibilities: - Design, train, and validate machine learning models that improve process performance and stability in concrete batching operations. - Lead end-to-end model development, from data exploration and feat...

As a Data Scientist at AiDASH, you will play a crucial role in extracting, cleaning, and analyzing large datasets from multiple sources using SQL and Python/R. Your key responsibilities will include: - Building and optimizing data scraping pipelines to process large-scale unstructured data. - Performing statistical analysis and data mining to identify trends, patterns, and anomalies. - Developing automated workflows for data preparation and transformation. - Conducting data quality checks and implementing validation procedures. - Building and validating ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas. - Applying feature engineering to enhance accuracy a...

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...

As a Specialist in Software Development (Artificial Intelligence), you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working closely with cross-functional teams to deliver intelligent systems enhancing business operations and decision-making. **Key Responsibilities:** - **AI Solution Design & Development:** - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks suc...

As a Business Analytics Analyst in the Fraud Analytics team at Citi, you will play a crucial role in developing and validating fraud detection models to support Citis North American Cards business. Your responsibilities will include: - Partnering closely with Strategy partners and Model Risk Management validators to support the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Conducting model development, validation, and testing for fraud detection models, utilizing statistical analysis, data validation, and model performance evaluation techniques. - Performing rigorous validation assessments for fraud model validation, developing and implementing ...

As a Senior Specialist - Software Development (Artificial Intelligence) at Accelya, your role will involve leading the design, development, and implementation of AI and machine learning solutions to address complex business challenges. You will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. - Implement advanced algorithms for supervised and unsupervis...

As a Specialized Analytics Senior Analyst at the company, you will be a seasoned professional contributing to the development of new techniques and the improvement of processes in the area. Your role will integrate subject matter and industry expertise within a defined area, requiring an in-depth understanding of how areas collectively integrate within the sub-function to contribute to the objectives of the function and overall business. **Key Responsibilities:** - Partner closely with Strategy partners and Model Risk Management validators across the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Develop, validate, and test fraud detection models...

Role Overview: You will be responsible for developing machine learning models by designing, building, and evaluating both supervised and unsupervised models like regression, classification, clustering, and recommendation systems. This includes performing feature engineering, model tuning, and validation through cross-validation and various performance metrics. Your duties will also involve preparing and analyzing data by cleaning, preprocessing, and transforming large datasets sourced from different channels. You will conduct exploratory data analysis (EDA) to reveal patterns and gain insights from the data. In addition, you will deploy machine learning models into production using tools lik...

Citi is seeking an energetic and motivated professional to join its Fraud Analytics team as a Specialized Analytics Sr. Analyst. In this role, you will be part of the Global Fraud Analytics team, responsible for developing and validating fraud models to support Citis North American Cards business. As a strategic professional, you will stay updated on the latest trends in the field and apply them to your work. Strong communication skills are essential for negotiating internally and collaborating with Strategy partners and Model Risk Management validators. Your responsibilities will include model development, validation, and testing of fraud detection models, ensuring compliance with regulator...

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As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised lear...

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providin...

As an AI/ML Manager at our Pune location, you will be responsible for leading the development of machine learning proof of concepts (PoCs) and demos using structured/tabular data for various use cases like forecasting, risk scoring, churn prediction, and optimization. Your role will involve collaborating with sales engineering teams to understand client requirements and presenting ML solutions during pre-sales calls and technical workshops. You will be expected to build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML, managing training, tuning, evaluation, and model packaging. Applying supervised, unsupervised, and semi-supervised techniques like XGBoost, CatBoost, k-M...

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropr...