74 Decision Trees Jobs

As an AI Agent Engineer, your role involves designing, building, and deploying intelligent agents to automate complex workflows. Your focus will be on developing and implementing agent orchestration strategies for seamless multi-agent interactions, managing agent state and memory systems, integrating tool/function calling, and writing efficient code using Python asyncio. Key Responsibilities: - Design, build, and deploy intelligent agents to automate complex workflows. - Develop and implement agent orchestration strategies for seamless multi-agent interactions. - Manage agent state and memory systems for persistent, long-running processes. - Integrate and utilize tool/function calling to extend agent capabilities and connect them to external systems. - Write efficient, high-performance, and concurrent code using Python asyncio. Qualifications Required: - Expertise in LangGraph for building robust agentic systems. - Proven experience with AutoGPT frameworks. - Strong proficiency in tool/function calling for agent-environment interaction. - Comprehensive knowledge of various memory systems and their applications in AI agents. - Deep familiarity with Python asyncio. This role also values the following skills: - Experience with decision trees and other classical AI algorithms. - Domain knowledge in the manufacturing sector.,

As a Sr. Data Scientist at GKM IT, you will be responsible for conducting extensive ML research and developing new ML use cases for products. Your role will involve mentoring Junior data scientists and Interns to deliver data science projects. You will also be reading and implementing research papers, especially in Generative AI, in order to utilize a wide range of Machine Learning and deep learning techniques to solve complex business problems. **Key Responsibilities:** - Conducting extensive ML research and developing new ML use cases for products. - Mentoring Junior data scientists and Interns to deliver data science projects. - Reading and implementing research papers, especially in Generative AI. - Utilizing a wide range of Machine Learning and deep learning techniques to solve complex business problems. **Qualifications Required:** - Advanced knowledge of Python. - In-depth understanding of Statistics & Probability concepts. - Expertise in Machine Learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, PyTorch, etc. - Deep understanding of supervised and unsupervised ML algorithms like Logistic and Linear Regression, Gradient Descent, Decision Trees, SVM etc. - Experience working with Transformer architecture and Large Language Models. - Knowledge of building LLMs applications with frameworks like Langchain/Llama-index is a plus.,

As a Senior Economic Analyst within the Mastercard Economics Institute (MEI) Research and Partnerships team, you will be at the forefront of driving economic thought leadership to support Mastercard's initiatives aimed at fostering a more inclusive and sustainable digital economy. MEI, established in 2020, focuses on analyzing economic trends from a consumer perspective to provide tailored and actionable insights on economic matters to clients, partners, and policymakers. We are seeking an individual who will play a key role in quantitative modeling, macroeconomic forecasting, and client-facing economic research. Your responsibilities will include developing, enhancing, and maintaining macroeconomic models, implementing forecasting techniques using Mastercard's proprietary data, and designing predictive models utilizing advanced statistical and machine learning methods. You will be involved in scenario planning, stress testing, and developing proprietary indices to assess macroeconomic and retail trends. Collaboration with data engineers and analysts to ensure clean and scalable data environments will be essential, as well as translating business requirements into data specifications and modeling needs. Furthermore, you will support client engagements and research partnerships by providing tailored economic insights and presentations, contributing to MEI's thought leadership through reports and visualizations for external stakeholders. Your role will involve close collaboration with economists, data scientists, and business stakeholders to align modeling outputs with strategic objectives, ensuring quality and relevance throughout all project stages. To qualify for this role, you should possess an advanced degree in Economics, Statistics, Mathematics, or a related quantitative field, along with at least 3 years of experience in econometrics, data science, or applied economics, preferably in finance, tech, or geospatial domains. A strong foundation in macroeconomic theory, econometric modeling, and statistical inference is required. You should be proficient in advanced R, Python, and SQL, with familiarity in JavaScript and visualization libraries being a plus. Experience with predictive modeling, logistic regression, decision trees, time series, clustering, and dimensionality reduction is essential. Additionally, proficiency in tools like Tableau or Power BI for building dashboards and client-facing visuals is preferred. The successful candidate for this role will be entrepreneurial, collaborative, and intellectually curious with a passion for economic research and storytelling. Strong communication skills are crucial for translating technical insights into business narratives, managing multiple priorities in a fast-paced environment, and contributing to Mastercard's commitment to information security by following security policies, ensuring confidentiality and integrity of information, reporting any security violations, and completing mandatory security trainings as required.,

As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Expected to perform independently and become an SME, you will actively participate in team discussions and provide solutions to work-related problems. Collaborate with team members to create innovative solutions, staying updated with the latest AI/ML trends and technologies. Your responsibilities include developing applications and systems using AI tools and Cloud AI services, implementing deep learning and neural networks, creating chatbots, and working on image processing tasks. You must have proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools like Tableau or Power BI is required, along with hands-on experience in implementing various machine learning algorithms and data munging techniques. The ideal candidate should have a minimum of 3 years of experience in Large Language Models and possess a 15 years full-time education. This position is based at our Bengaluru office.,

As a Responsible AI Engineer, your primary role will involve assessing AI systems to ensure adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. You will be responsible for designing and implementing technology mitigation strategies to guarantee that systems meet ethical and responsible standards. Your expertise in Responsible AI will be crucial in this role. Your responsibilities will include acting as a Subject Matter Expert (SME) with deep knowledge and experience, utilizing influencing and advisory skills, and making team decisions. Collaboration with multiple teams to contribute to key decisions and providing solutions that are applicable across various teams will be essential. You will be tasked with developing and implementing responsible AI frameworks, conducting audits and assessments of AI systems for ethical compliance, and working with cross-functional teams to integrate responsible AI practices. In order to excel in this role, you must possess proficiency in Responsible AI and have a strong understanding of statistical analysis and machine learning algorithms. Hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms is essential. Additionally, familiarity with data visualization tools like Tableau or Power BI, as well as data munging techniques including data cleaning, transformation, and normalization, will be required to ensure data quality and integrity. The ideal candidate for this position should have a minimum of 15 years of experience in Responsible AI. This role is based at our Pune office and requires a 15 years full-time education.,

As a Senior Economics Analyst at Mastercard Economics Institute (MEI), your primary role will involve conducting research on the health and wellness of Small and Medium Enterprises (SMEs) globally. You will be responsible for developing proprietary measures to assess the vitality of the SME sector, as well as identifying key preconditions and leading indicators for SME success. Reporting to the Lead of Strategic Partnerships at MEI, your responsibilities will include: - Managing client and stakeholder engagements, with a specific focus on economic research related to Small and Medium Enterprises (SMEs). - Collaborating with external clients, academic institutions, and industry partners. - Developing and testing hypotheses at the intersection of economics and the SME community, and assisting in structuring work at the project level. - Identifying creative analyses and developing proprietary indices tailored to SMEs. - Creating impactful storylines and visuals at the project level, ensuring quality and effectiveness. - Synthesizing analyses into clear recommendations, structuring reports and client-ready presentations. - Enhancing existing products and partnering with internal stakeholders to innovate and create new solutions. - Actively seeking new knowledge and structuring project work to capture intellectual capital in the field of economic research on SMEs. - Participating in new solution development and supporting thought leadership activities by contributing knowledge and best practices related to SME economic research. To excel in this role, you should possess the following qualifications: - Bachelor's degree in Economics (preferred), Statistics, or Mathematics. - Minimum 4 years of experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus on SMEs and economic research. - Strong understanding of Statistics and Econometric concepts, modeling and forecasting techniques, particularly in relation to SMEs. - Proficiency in SQL and Hadoop, as well as expertise in R, Python, or other major statistical packages. - Extensive experience using data visualization tools like Tableau, with knowledge of JavaScript for visualization being a plus. - Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. - Willingness to learn additional statistical applications or software as required. - Experience in the financial services industry is desirable. As part of your corporate security responsibility, you are expected to adhere to Mastercard's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete all mandatory security trainings in accordance with Mastercard's guidelines.,

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. Our goal is to offer accelerated, global growth opportunities for talent that is bold, industrious, and nimble. At Indegene, you will gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. Are you ready to jump-start your career We understand the importance of the first few years of your professional journey, which lay the foundation for your entire career. At Indegene, we promise you a differentiated career experience where you will work at the exciting intersection of healthcare and technology and be mentored by industry experts. We offer a global fast-track career path that aligns with Indegene's high-speed growth. We are purpose-driven, enabling healthcare organizations to be future-ready, with customer obsession as our driving force. Our approach is bold in actions, nimble in decision-making, and industrious in our work ethic. If this excites you, then apply for the role of Senior Data Analyst at Indegene. Overview: We are seeking a dynamic and experienced Senior Data Analyst to join our team. As a Senior Data Analyst, you will play a pivotal role in creating and designing machine learning (ML) and analytics solutions in the pharmaceutical analytics domain. Key Responsibilities: - Collaborate with managers and onshore counterparts to assess client requirements and objectives, including implementing Omnichannel strategy - Analyze large and complex datasets related to sales, call plans, market share, patient outcomes, field segmentation, and more - Conduct ad hoc analyses to address specific business questions from cross-functional teams - Ensure data quality, accuracy, and consistency through regular quality checks, test cases, and validations - Utilize statistical and machine learning techniques to build predictive models (e.g., patient journey analysis, sales forecasting, MMx modeling) - Guide junior analysts and provide technical mentorship, especially in MLOps using DSS, ETL using Snowflake, and Pyspark coding Desired Profile - Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or Pharmaceutical Sciences - 5 years of experience in leading analytical projects in the pharma domain - 3 years of experience in advanced analytics, including AI, machine learning, predictive modeling, advanced analytics, and statistical modeling - Experience in pharma commercial analytics is a plus - Proven track record of successfully implementing Omnichannel strategy or similar technologies in the pharmaceutical or related industry - Strong understanding of the pharma ecosystem, key data sources, industry trends, and compliance requirements - Excellent understanding of machine learning techniques and algorithms - Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. - Experience in MLOps is an advantage - Strong analytical and problem-solving abilities with attention to detail - Willingness to work in a highly demanding and result-oriented team environment - Excellent communication skills to convey complex ideas clearly This is an equal opportunity position based in Bangalore, KA, IN.,

You will be responsible for engaging with business and functional partners to understand business priorities, asking relevant questions, and scoping the same into an analytical solution document that highlights how the application of data science will enhance decision-making. Your role will involve having an in-depth understanding of techniques to prepare analytical data sets leveraging multiple complex data sources. You will be required to build statistical models and machine learning algorithms with a practitioner-level competency. Additionally, you will need to write structured, modularized, and codified algorithms using Continuous Improvement principles, developing knowledge assets and reusable modules on platforms like GitHub and Wiki with expert competency. Creating an easy-to-understand visualization layer on top of the algorithms to empower end-users to make informed decisions will also be part of your responsibilities. This visualization could be on platforms like Tableau or Python or through a recommendation set in PPTs. Proactively driving the consumption of solutions developed by the team, identifying and addressing areas of improvement in the larger Tesco business, and staying updated with the latest developments in data science and retail analytics to share knowledge among colleagues will be key aspects of your role. You will also be expected to mentor and lead a small team of Applied Data Scientists to deliver high-impact analytics projects. Qualifications for this position include expertise in Applied Math such as Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, and NLP. Proficiency in Tech tools like SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS PowerPoint, and GitHub is essential. A basic understanding of the Retail domain, along with soft skills like Analytical Thinking & Problem Solving, Storyboarding, Stakeholder Engagement, and Leading a team, will be advantageous. The ideal candidate should have at least 5 years of experience in data science application and delivering analytics solutions in industries like retail, consumer packaged goods (CPG), telecom, or hospitality. Exposure to functional areas such as marketing, supply chain, customer analytics, merchandising, operations, finance, or digital analytics will be preferred. If you meet the qualifications and are interested in the role, please ensure to submit your application before the deadline on 7th March 2025. Please note that Tesco Bengaluru does not authorize any third parties to release employment offers or conduct recruitment drives on its behalf. Be cautious of any inauthentic or fraudulent job offers or recruitment drives from individuals or websites claiming to represent Tesco. Tesco Bengaluru does not charge any fees or seek compensation for any reason, including visa fees, and does not seek any emoluments from educational institutions for participation in recruitment events. If you encounter any fraudulent activities in the name of Tesco Bengaluru, please report the incident to recruitment_compliance_india@tesco.com.,

Join a team recognized for leadership, innovation, and diversity. You must have a Ph.D. or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field. Exposure to the Finance domain and use cases in a larger global enterprise setting is required. Additionally, you should have a minimum of 8 to 10 years of Data Science prototyping experience using machine learning techniques and algorithms such as k-means, k-NN, Naive Bayes, SVM, and Decision Trees, with proficiency in Python and/or R tool-stack. Moreover, a minimum of 8 to 10 years of Machine Learning experience of physical systems is expected. You should also possess a minimum of 4 to 6 years of experience with distributed storage and compute tools like Hive and Spark. Furthermore, a minimum of 8 to 10 years of experience in deep learning frameworks like PyTorch and Keras is essential. Experience in designing, building models, and deploying models to Cloud Platforms such as Azure and Databricks is a plus. Having a working knowledge and experience of implementing Generative AI in the industry and keeping up with the latest developments in the field of Artificial Intelligence is highly valued. A research mindset with a problem-solving attitude is a MUST. Experience with Natural Language Processing models, Streaming Analytics (i.e., Spark Streaming), Recurrent Neural Network architectures, Image Analytics, SQL, and working with remote and global teams is beneficial. Knowledge of Corporate Finance or Financial Analytics is advantageous. The ideal candidate should be results-driven with a positive can-do attitude. If you meet these requirements, this role could be a great fit for you. Please note the following additional information: JOB ID: HRD251841 Category: Engineering Location: Devarabisanahalli Village, KR Varturhobli, East Taluk - Phase I, Bangalore, KARNATAKA, 560103, India Exempt Early Career (ALL),

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us in building an exceptional experience for yourself and contribute to creating a better working world for all. As an AI/ML Developer in Technology Assurance at EY, you will have the opportunity to contribute technically to Risk Assurance client engagements and internal projects. Your role will involve assisting Seniors & Managers, actively participating in client engagement, anticipating and identifying risks, and ensuring that work is of high quality and reviewed thoroughly. By joining our team, you will help create a positive learning culture, assist fellow team members, and deliver assignments effectively. We are seeking professionals with a minimum of 2 years of experience to be part of a cross-functional team responsible for the full software development life cycle. This role offers a great opportunity to work with a leading firm and play a key role in the growth of a new service offering. Key Skills and Accountabilities: - Develop robust AI/ML models to drive insights and enhance decision-making processes across various business lines. - Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Proficiency in Machine learning, NLP, LLM, GenAI, deep learning, and generative AI techniques. - Apply advanced machine learning techniques to solve complex problems. - Design and implement innovative solutions for workflow orchestration using Python, Airflow, and Terraform. - Collaborate with cross-functional teams to assess control effectiveness and facilitate remediation activities. To qualify for this role, you must have: - Minimum 2 years of experience working with Large Scale AI/ML models. - Technical knowledge of Big Data Platforms, AI technologies, and DevOps services. - Proficiency in AI/ML programming languages such as Python, R, SQL. - Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. - Implement monitoring and logging tools to ensure AI model performance. - Automation skills using Python scripting, databases, and advanced technologies. Preferred Qualifications: - Bachelor's Degree or higher in relevant disciplines. - Relevant certifications are considered a plus. - Self-driven problem-solver who thrives in the fast-paced world of software development. Join EY in building a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. Our diverse teams in over 150 countries provide assurance and help clients grow, transform, and operate by asking better questions to find new answers for today's complex issues.,

You should have a minimum of 5 years of experience in Data Science in Test, specifically in AI/ML/Testing. Proficiency in R language is a mandatory requirement for this role. Additionally, you should demonstrate the ability to quickly learn and effectively utilize new AI/ML tools. Your experience should include the creation and utilization of advanced machine learning algorithms and statistical methods such as regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks. It is essential that you have proven experience in retrieving data from various SDLC systems and analytic reporting databases. Familiarity with databases and proficiency in database query languages like MySQL, Access, and SQL are expected. Proficiency in Python and other programming languages is also necessary for this role. Your ability to communicate effectively with clients and collaborate efficiently within a team setting is crucial. Strong verbal and written communication skills are required. Experience with cloud computing environments and data science tools such as AWS, SageMaker, GCP, and Databricks is preferred. Experience with NLP algorithms like LSA, LDA, and QNLI is an advantage. Proficiency in tools such as JIRA, Confluence, and GitHub is desirable. Knowledge of software engineering principles and structured software development practices is a plus. You should also have a demonstrated ability to perform statistical data analysis effectively. In summary, the key requirements for this role include a minimum of 5 years of experience in Data Science in Test, proficiency in R language, a good understanding of Python, and a strong background in AI/ML.,

As a Machine Learning Engineer at Ergobite, you will be responsible for developing and deploying machine learning models using TensorFlow and/or PyTorch to create efficient and scalable solutions. Your role will involve implementing machine learning models and preprocessing tasks with Scikit-learn to optimize performance across various applications. You will have the opportunity to apply supervised and unsupervised learning algorithms like SVM and Decision Trees and design deep learning architectures such as CNNs and RNNs to address complex challenges effectively. In this role, you will conduct research and experiments with reinforcement learning techniques to enhance our capabilities. Additionally, you will contribute to the design and development of AI systems by leveraging large language models (LLMs) and advanced AI techniques. To qualify for this position, you should hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field. You must have a minimum of 3 years of Python programming experience and hands-on expertise with TensorFlow or PyTorch. Proficiency in Scikit-learn and deep learning methodologies is essential, along with experience in tools like Keras, Pandas, Numpy, and Large Language Models (LLMs) such as GPT for natural language processing and generation. Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics will be crucial for success in this role. Familiarity with version control systems, particularly Git, will also be advantageous. Preferred skills for this position include exposure to cloud-based AI development platforms like Google Cloud AI, AWS AI, or Azure AI. Knowledge of optimization techniques to enhance AI model performance and understanding of deep learning architectures like CNNs, RNNs, and transformers would be beneficial. Join us at Ergobite to be part of a dynamic team where you can apply your expertise in machine learning to drive innovation and solve real-world challenges.,

You are an experienced and data-driven Sales and Marketing Analyst with a high degree of competency in predictive modeling and data analytics. Your role is critical in helping the team leverage data to make strategic decisions, forecast market trends, and optimize sales and marketing performance. You are adept at analyzing large datasets, identifying patterns, and utilizing advanced predictive models to deliver actionable insights that drive business growth. Your responsibilities include monitoring and forecasting marketing and sales trends, predictive modeling for Marketing Lead Prioritization using tools like R, Python Scripts, Power BI, Tableau, etc. You will utilize advanced machine learning techniques to predict future customer actions and identify leading indicators of marketing and sales success to optimize campaigns and improve ROI. Additionally, you will gather data about consumers, competitors, and market conditions and convert complex data into understandable graphs, tables, and written reports. You will also prepare reports and present them to leadership. As a Sales and Marketing Data Analyst, you will break down key business data, including revenue cycles, sales, market information, and customer behavior. You will interpret data, identify patterns or areas for improvement, and share your findings with business, marketing, and sales professionals to provide data-driven strategies to optimize sales. Business intelligence analysts demonstrate strong skills in data analysis, communications, management, and computer analytics programs. Experience Preferred: - 3 years of relevant experience in Marketing, Statistics, Consulting, and Marketing Analytics, preferably in areas such as customer analytics, marketing campaign analysis, or CRM analysis. Education: - Bachelor's degree in Marketing, Data Science, Business Analytics, Statistics, Economics, or related field (Master's preferred). Analytics Requirements: - Advanced understanding of Salesforce, Power BI, R, Python, or similar tools with the ability to develop complex from-scratch queries. - Experience using tools like R and Python for predictive models and machine learning algorithms. - Ability to understand retrieval of large data sets and the analytical activities required to validate findings and present impactful recommendations. - Basic knowledge of programming logic and database design, including understanding table structure, table relationships, and the creation and production of both static and dynamic reports. - Track record of using data and insights to drive change and implement new initiatives. You are expected to be an immediate joiner for this position.,

As a Data Scientist at Avathon, you will be part of a team revolutionizing industrial AI by developing groundbreaking solutions that enable businesses to leverage their operational data effectively. Our platform integrates and contextualizes siloed datasets, providing a comprehensive operational view that enhances decision-making and efficiency. With cutting-edge capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets for predictive maintenance, performance simulation, and operational optimization tailored to industrial environments. Joining Avathon means being at the forefront of AI innovation, working in a high-growth environment, and making a meaningful impact through AI-driven projects that drive real change across industries and improve lives. As part of the Applied Research team, you will tackle hard, novel challenges in product development and customer engagements. Your role will involve conducting research in machine learning-based solutions to enhance our products and assist our customers. Qualified candidates are expected to have deep analytical skills, expertise in artificial intelligence, machine learning, and data science, as well as experience in designing experiments and deriving empirical conclusions. Strong communication skills are essential for collaborating with research colleagues and customers. Your responsibilities will include: - Engaging with internal product developers, external customers, and subject matter experts to solve critical technical challenges using cutting-edge artificial intelligence. - Conducting research and developing models for commercial and industrial applications in various areas such as forecasting, optimization, anomaly detection, prescriptive maintenance, and health and safety. - Exploring artificial intelligence domains like reinforcement learning, graph neural networks, and continuous learning. - Developing procedures and toolsets to enhance data science activities. - Contributing to AI product development and key research areas, proposing new projects, evaluating proposals, and responding to RFPs related to artificial intelligence. - Writing patent applications and technical publications based on research findings. To be successful in this role, you should have: - Experience in research-level innovation in Data Science and ML, preferably with an advanced degree. - 5+ years of experience in forecasting, optimization, machine learning, and related fields. - Strong understanding of Data Science concepts, machine learning algorithms, and programming languages like Python, R, and Matlab. - Proficiency in machine learning frameworks such as PyTorch, TensorFlow, Theano, and Keras. - Applied knowledge of ML techniques, statistical modeling, and managing large volumes of data. - Experience leading data science project teams and excellent written and verbal communication skills. At Avathon, we are committed to providing reasonable accommodations throughout the recruiting process. If you require any assistance, please reach out to us to discuss how we can support you.,

You will be joining Dark Matter Technologies, a company leading the tech-driven revolution in loan origination with cutting-edge AI and origination technology solutions. As a Senior Data Scientist, your role will involve building machine learning models, using various algorithms for regression, prediction, and deep learning. You will be responsible for identifying data sources, analyzing data, writing machine code in Python (or Azure ML), and creating models. The job location is in Hyderabad and Bhubaneswar. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions. To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous. You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,

As a member of the PhonePe team, you will be a part of a culture that values your best efforts every day. We strive to create an environment where you can flourish, empowering you to take ownership of your work from day one. Enthusiasm for technology is highly encouraged at PhonePe, where you will have the opportunity to build impactful technology, collaborate with innovative minds, and pursue your aspirations with vigor and efficiency. In this role, you will join our risk strategy team to develop risk strategies for our lending business. Working in a dynamic setting alongside cross-functional teams, you will focus on managing risk effectively while supporting the growth of the business. Your responsibilities will include building risk strategies to combat fraud and credit risk, developing top-notch risk models, communicating findings to stakeholders clearly, overseeing portfolio risk, exploring new data sources for enhanced risk management, and collaborating with various teams to enhance anomaly detection capabilities. Additionally, you will work closely with the Product team to create products that effectively manage risk, assess solution effectiveness, and continuously improve upon them. The ideal candidate for this role should hold a BTech/ BE degree from Tier-I & II colleges, possess 1-2 years of experience in Risk Analytics, particularly in FinTechs, and be proficient in SQL, Python, and MS Excel. Experience with statistical modeling techniques such as Logistic Regression, Decision Trees, Gradient Boosting models is preferred. You should be agile, collaborative, and possess excellent communication skills, along with a strong analytical mindset and problem-solving abilities. Furthermore, you should excel in building and managing business alliances, be data-driven, and adept at aligning business needs with goals while thriving in a competitive, results-driven environment. As a full-time employee at PhonePe, you will have access to a range of benefits including medical insurance, wellness programs, parental support, mobility benefits, retirement benefits, and additional perks like higher education assistance, car lease options, and salary advance policies. Working at PhonePe provides a fulfilling and enriching experience with opportunities for personal and professional growth, a culture that fosters creativity, and the chance to take on diverse roles beyond the confines of a traditional job description. Join us at PhonePe and be a part of an exciting journey towards innovation and excellence.,

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits. The team is building Sponsored Products, Display & Video Ad offerings that cater to various Advertiser goals while delivering highly relevant and engaging Ads to millions of customers. The Ads Platform is being evolved to empower advertisers of all sophistication levels to grow their business on Wayfair with a strong, positive ROI by utilizing state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team plays a central role in this effort. The team leverages machine learning and generative AI to streamline campaign workflows, providing impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, they are developing intelligent systems for creative optimization and exploring agentic frameworks to simplify and enhance advertiser interactions. An experienced ML Scientist III is sought to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for developing budget, tROAS, and SKU recommendations along with other machine learning capabilities that support the ads business. You will collaborate closely with other scientists, as well as members of internal Product and Engineering teams, to apply your engineering and machine learning skills to solve impactful and intellectually challenging problems that directly influence Wayfair's revenue. **What you'll do:** - Provide technical leadership in developing an automated and intelligent advertising system by advancing machine learning techniques to offer recommendations for Ads campaigns and other optimizations. - Design, build, deploy, and refine scalable, real-world platforms that optimize the ads experience. - Collaborate with commercial stakeholders to understand business problems or opportunities and develop machine learning solutions accordingly. - Work closely with engineering, infrastructure, and machine learning platform teams to ensure best practices in building and deploying scalable machine learning services. - Identify new opportunities and insights from data, improving models, and projecting the ROI of proposed modifications. - Stay updated on new developments in advertising, sort and recommendations research, and incorporate them into internal packages and systems. - Maintain a customer-centric approach in solving problems. **We Are a Match Because You Have:** - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field. - 6-9 years of industry experience in advanced machine learning and statistical modeling, including building production models at scale. - Strong theoretical understanding of statistical models and machine learning algorithms. - Familiarity with machine learning model development frameworks, orchestration, and pipelines. - Proficiency in Python or another high-level programming language. - Hands-on experience deploying machine learning solutions into production. - Strong communication skills and a bias towards simplicity. **Nice to have:** - Familiarity with Machine Learning platforms offered by Google Cloud. - Experience in computational advertising, bidding algorithms, or search ranking. - Experience with deep learning frameworks like PyTorch, Tensorflow, etc.,

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You'll do: - Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. - Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. - Raise technical standards across the team by promoting best practices in ML system design and development. - Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. - Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. - Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: - Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. - 9+ years of experience in building large scale machine learning algorithms. - 4+ years of experience working in an architect or technical leadership position. - Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. - Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. - Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. - Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. - Ability to partner cross-functionally to own and shape technical roadmaps - Intellectual curiosity and a desire to always be learning! Nice to have: - Experience with GCP, Airflow, and containerization (Docker). - Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. - Familiarity with Generative AI and agentic workflows. - Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.,

As an Analyst Fraud Risk at Visa, you will be part of the VCA Risk Advisory Practice team responsible for delivering Risk advisory services to Visas clients across Credit Risk and Fraud Risk. Reporting to the Senior Manager Fraud Risk, India Hub, you will contribute to the delivery of Fraud Risk advisory engagements. Your expertise in Fraud Risk functional domain and risk analytics gained as a Risk practitioner and/or data scientist will be utilized to unlock business value. Your key responsibilities will include contributing to Fraud Risk Managed Services and advisory engagements across Asia Pacific, collaborating with clients to understand business problems and outcomes, delivering multiple projects within timelines and budget requirements, maintaining project documentation, and supporting the development of Fraud Risk data-driven solutions. This is a hybrid position, requiring you to work from the office two days a week and accommodate flexible working hours to cater to client and country time zones within the Asia Pacific region. You will play a key role in projects such as Fraud Rule Optimization, Fraud Authentication Rule Optimization, Authorization Optimization, STIP Optimization, and Fraud Risk Prediction/Scoring. To qualify for this role, you should have 5 or more years of work experience with a Bachelors Degree or an Advanced Degree. Preferred qualifications include technical skills such as analytical experience, proficiency in statistical techniques, and experience with data analytics tools. Business skills required include being results-oriented, analytical, a team player, and having strong communication and presentation skills. Visa has adopted a COVID-19 vaccination policy, requiring all employees based in the country where this job is located to be fully vaccinated, unless a reasonable accommodation is approved or as otherwise required by law.,

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. At KLA, we focus more than average on innovation and invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life at KLA is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity, and technological excellence enables employee productivity, business analytics, and process excellence. We are seeking a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modeling, Machine learning algorithms, and Conversational AI. Strong experience in using a variety of data mining/Machine Learning methods, coding algorithms, and running simulations. The right candidate will have a passion for discovering solutions hidden in large datasets and working with business partners to improve business outcomes. Responsibilities for the Data Scientist/ML Engineer role include: - Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. - Researching and devising innovative statistical models/ML models for data analysis. - Developing and maintaining RAG (Retrieval-Augmented Generation) applications and implementing changes to algorithms to improve AI performance and retrieval techniques. - Using predictive modeling to increase and optimize customer service experience and supply chain optimization. - Identifying patterns in data using statistical modeling and developing custom data models and algorithms to apply to datasets. - Collaborating with business partners throughout the organization to find opportunities for using company data to drive solutions. - Working with project managers to establish objectives for AI systems. Minimum Qualifications: - Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or a related discipline. - Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry. - 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as Regression models, kNN, SVM, NB, Decision Trees. - Expertise/familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. KLA offers a competitive, family-friendly total rewards package designed to reflect our commitment to an inclusive environment while ensuring benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer. Be aware of potentially fraudulent job postings and suspicious recruiting activity by individuals posing as KLA employees. KLA never asks for any financial compensation in exchange for an interview, employment, or equipment. Further, KLA does not work with recruiters or third parties who charge such fees. Please verify the legitimacy of job postings by checking KLAs Careers website and report any concerns to talent.acquisition@kla.com for confirmation. Privacy and confidentiality of information are handled with utmost seriousness at KLA.,

Bridgei2i Analytics is seeking talented individuals to join the journey of building a best-in-class organization, driving increased adoption of business analytics globally. As a member of our team, you will be responsible for creating and implementing advanced analytical approaches across various projects, industries, and solutions. Successful candidates should possess a combination of analytical and functional skills, capable of translating business requirements into scalable solutions and developing unique analytical approaches to complex problems. Your role will involve understanding business requirements, managing structured and unstructured data, analyzing big data using various statistical techniques, and developing visualizations to communicate business insights effectively. You will be instrumental in deploying analytics solutions, tracking business outcomes, and staying updated on the latest analytics techniques and tools in the field of decision science. Additionally, you will present, advise, interpret, and justify analytics solutions to clients and internal stakeholders, while providing technical coaching to analysts. Qualifications: - 9+ years of experience in statistical modeling and business analysis roles - Bachelor's/Master's degree in Economics, Engineering, Mathematics, IT, Statistics, or MBA/PGDBM Key Skills: - Proficiency in statistical analysis methods such as Regression, Logistic regression, decision trees, and other segmentation techniques - Experience in simulation and mathematical optimization models, time series forecasting methods - Hands-on expertise in statistical modeling software like SAS or R - Strong skills in Microsoft Excel, Access, and PowerPoint (VBA & SQL experience preferred) Desired Qualifications: 1. Specialized industry expertise in Technology, Financial Services, Insurance, Retail, Consumer Packaged Goods, Education, or Hospitality 2. Specific solutions experience in Marketing Analytics, Sales Analytics, Risk Management, Supply Chain Analytics, Employee Engagement Analytics, or Customer Analytics In addition, we are looking for individuals with expertise in Risk Modelling, including running risk models, preparing model reviews, documents, and reports, and implementing various risk models with research and analytics teams. Responsibilities also include conceptualizing business problems into deliverables, model documentation, validation report writing, and adherence to BASEL norms. Expertise in setting up benchmarking tools and testing complex models is essential for this role.,

As an Agentic AI Developer, you will be responsible for designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your expertise in cutting-edge AI technologies and experience with large language models and agent frameworks will be crucial for the successful execution of this role. Your key responsibilities will include designing and implementing AI agents using frameworks such as LangChain, AutoGen, or OpenAI Agents SDK. You will also be required to integrate agents with external tools, APIs, and databases, develop workflows for autonomous task execution, and optimize agent performance through prompt engineering and memory management. Collaboration with product and engineering teams to align agent capabilities with business goals and monitoring and maintaining deployed agents in production environments will also be part of your role. To excel in this position, you must possess a strong proficiency in Python and have experience working with LLMs such as GPT-4, Claude, and Gemini. Familiarity with agent frameworks and orchestration tools, experience with API integration, vector databases, and retrieval-augmented generation (RAG) are essential requirements. An understanding of autonomous systems, decision trees, and reinforcement learning would be a plus. Additionally, excellent problem-solving and communication skills are necessary for this role. While not mandatory, experience with cloud platforms (AWS, Azure, GCP), a background in machine learning or NLP research, and contributions to open-source AI projects would be considered advantageous in this position.,

You are seeking an AI/ML Engineer specialized in Cyber Security & Networking to create and enhance machine learning models for network security and product optimization. Your role involves developing scalable AI-driven solutions in a fast-paced start-up environment. Collaboration with cross-functional teams is essential to deliver impactful results that enhance security, product performance, and business outcomes effectively. Your responsibilities will include developing and deploying ML models for threat intelligence, anomaly detection, and cyber security applications. You will work closely with product managers to define project objectives and measurable outcomes. Architecting and implementing AI solutions to enhance network management and product efficiency will be a key part of your role. Additionally, leading the design of algorithms, data pipelines, and predictive models to optimize customer experiences and revenue is crucial. Monitoring, analyzing, and improving model performance to ensure scalability, reliability, and accuracy are vital tasks you will undertake. Coordinating with engineering and data science teams for the seamless integration of AI solutions into products is also part of your responsibilities. Effective communication of progress, challenges, and solutions to senior management and stakeholders is expected from you. To excel in this role, you should possess a Bachelor's degree in Engineering/Computer Science with at least 5 years of experience in AI/ML applications. Proven expertise in developing ML models for cyber security and networking domains is required. Strong knowledge of clustering, decision trees, neural networks, and anomaly detection techniques is essential. Proficiency in TensorFlow, PyTorch, Keras, and Natural Language Processing (NLP) is expected. A solid foundation in statistical techniques such as regression, distributions, hypothesis testing, etc., is necessary. Excellent analytical, problem-solving, and communication skills are key attributes for this role. The ability to work independently in a growth-driven start-up environment is a must. Experience in deploying ML models at scale in cloud environments (AWS, GCP, Azure), exposure to cyber threat intelligence platforms and network monitoring tools, contributions to open-source AI/ML projects, and familiarity with DevOps/MLOps practices for AI model lifecycle management are considered nice-to-have qualifications for this position.,

You will be joining Northern Trust, a globally recognized financial institution with over 130 years of experience and more than 22,000 partners. As part of the Model Validation function, you will contribute to the validation of complex quantitative risk models and capital allocation frameworks. Your responsibilities will include understanding and resolving complex issues in algorithms, models, and risk measurement frameworks, particularly in credit risk with an emphasis on AI/ML approaches. Additionally, you will be expected to have hands-on experience with AI/ML algorithms such as Regression, Decision Trees, Nave Bayes, kNN, Random Forest, and neural networks, along with strong programming skills in SAS, R, Python, etc. Your major duties will involve validating complex statistical and algorithmic models related to risk, regulatory, capital, treasury, interest rate, economic research, fraud, and compliance. You will be responsible for resolving issues in capital estimation, regulatory reporting, and risk measurement. Furthermore, you will oversee quantitative analytical processes for risk, ensure regular production of analytical work and reports, and evaluate existing frameworks in alignment with corporate objectives and industry best practices. You will need to provide technical and theoretical expertise to resolve risk issues, work with other risk teams to ensure consistency in risk management policies and quantitative modeling approaches, and ensure that capital modeling approaches meet internal and regulatory requirements. Operating independently with a high level of knowledge within the business unit, you will act as a subject area expert, providing leadership at a technical level. Your role will involve a balance between operational execution, development, and strategic direction of business function activities. Your skills should include excellent oral and written communication, strong analytical and problem-solving abilities, and technical proficiency in regression, decision tree, SVM, Naive Bayes, kNN, K-Means, Random Forest, and systems like SAS, R, Python, and Advanced Excel. A conceptual understanding of AI/ML models and validation techniques is also essential. To be eligible for this role, a PhD, college, or university degree with relevant work experience is required. An advanced degree in a related field or equivalent career experience is preferred, along with banking or similar industry qualifications. As a partner at Northern Trust, you will have the opportunity to be part of a flexible and collaborative work culture, with encouragement for movement within the organization and accessibility to senior leaders. The company is committed to assisting the communities it serves and values an inclusive workplace. If you are excited about this opportunity, apply today to join one of the world's most admired and sustainable companies.,