1555 Xgboost Jobs - Page 18

Responsibilities: * Develop product roadmap with ML/AI solutions * Implement XGBoost algorithms for prediction models * Collaborate on generative AI projects from ideation to launch Provident fund

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Responsibilities: 6+ years of experience in the development of machine learning models and advanced analytics solutions. 3...

Key Responsibilities End-to-End Product Ownership: Lead the development of predictive models from exploration and prototype to full-scale production deployment. Prediction: Build robust regression and/or time-series and/or deep learning models to predict prices/values of financial assets, oil, apparel, and other commodities. Model Optimization: Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback. ML Ops & Deployment: Collaborate with engineering to ensure successful deployment and monitoring of models in production environments. Stakeholder Collaboration: Translate business problems into analytical frameworks, working closely wit...

Role Overview: You will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics, and working with product teams to develop data-driven solutions. Additionally, you will translate business requirements into machine learning tasks, create visualizations to communicate model results to non-technical stakeholders, and stay updated with emerging AI/ML techniques and tools. Key Responsibilities: - Analyze large financial datasets to identify trends and patterns. - Develop and deploy machine learning models for predictive analytics and decision support. - Work with product teams to understand re...

As a Senior Data Scientist at AuxoAI, you will play a crucial role in leading strategic initiatives by applying advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your technical depth, curiosity, and discipline will be key as you mentor others and translate complexity into clarity. **Responsibilities:** - Lead the design and development of algorithms across ML, causal inference, and AI problem spaces - Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility - Benchmark and optimize models using advanced algorithms such as gradient boosting (X...

About Brite Brite Systems is an Information Technology company specializing in consulting and software development. We have successfully implemented solutions for the public and private sectors since 2006. We focus on providing our clients with simplified, innovative technology solutions to improve and streamline the user experience. Brite Systems confidently bring the right people, customized approach, and successful track records to each opportunity. If you are looking to be part of a strong, collaborative culture, Brite Systems is the place for you to grow your career. About the Role We are seeking an experienced Python AI Model Developer to join our team and drive the development of cutt...

Job Title: Data Science/MLOps Engineer– Retail/CPG Domain Location: India (Remote/Hybrid – [Insert City]) Experience Level: 3–5 Years Employment Type: Full-Time Job Summary We are seeking a highly skilled and motivated Data Science & MLOps Engineer to join our growing team. This role combines expertise in traditional machine learning, model deployment, and scalable MLOps infrastructure to drive business impact in the Retail and Consumer Packaged Goods (CPG) domain. The ideal candidate will have a strong background in building and operationalizing end-to-end ML pipelines and delivering production-grade ML solutions aligned with real-world use cases such as demand forecasting, pricing optimiza...

AI/ML Model Development & Optimization Build and optimize models using PyTorch, TensorFlow, and cutting-edge ML frameworks Apply prompt engineering and fine-tuning techniques to foundation models (eg, GPT-4, Claude, Llama) Deliver NLP solutions: classification, summarization, sentiment analysis, entity extraction, conversational AI, and generative workflows Architect Retrieval-Augmented Generation (RAG) pipelines using vector databases, smart chunking, ranking, and caching Develop multi-agent systems for task planning, decomposition, and tool orchestration MLOps & Productionization Implement robust MLOps pipelines: CI/CD, model monitoring, feature stores, and governance Ensure reproducibilit...

Key Responsibilities Python, TensorFlow or PyTorch, Scikitlearn, and XGBoost, computer vision and NLP, MLOPs Design, develop, and deploy advanced ML and generative AI models (eg, LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence Drive experimentation, evaluation, and integration of stateoftheart generative AI techniques into products and processes Oversee model governance, fairness, explainability, and responsible AI practices Recommendation algorithms (collaborative filtering, contentbased filtering) Experienced with MLOps tools and cloud platforms any of GCP , Azure, Databricks, or AWS...

Portfolio Analytics Develop predictive solutions like segmentation/lookalike models for targeting of customers basis segments/persona, merchants. Identifying actionable insights through data driven analysis – e.g. Driving card activation to increase spends & engagement. Understand the client’s business problems and develop data driven frameworks in line with their growth strategy. Devise analytical framework & strategies – e.g. Drive higher customer card spends across channels & corridors, etc. Provide project management oversight, including planning, execution, and monitoring of projects. Share timely project updates with stakeholders, ensuring clear and consistent communication throughout ...

Job Title : Consultant/Senior Consultant Location : Gurgaon Job Description : We are hiring consultant/senior consultant with expertise in SQL, Hive, Python, Tableau and good exposure to Machine Learning would be an advantage. Must be able to work independently with multiple stakeholders. For BI task, you will design, develop, and maintain excel and Tableau solutions, transforming raw data into actionable insights and work independently. Collaborate with stakeholders, write SQL queries, and utilize Hive and Python for data manipulation. Ensure data accuracy, provide technical support, and stay updated with the latest Tableau features. Strong problem-solving skills and attention to detail req...

We’re seeking a skilled Data Scientist with expertise in SQL, Python, AWS Sagemaker, Machine Learning with focus on Unsupervised Learning techniques to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value. Key Responsibilities Model Development: Build, validate, and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions. Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunitie...

Job Summary We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies—including large language models (LLMs), computer vision, machine learning, and data science—to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiati...

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. A...

Key Responsibilities : Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, a...

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. A...

Company Overview 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. KLA focuses more than average on innovation and we invest 15% of sales back ...

5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services . Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications. Solid understanding of MLOps concepts – model versioning, deployment, monitoring. Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus. Comfortable working with large-scale structured and unstructured dataset...

We are seeking a highly skilled and motivated Machine Learning Engineer with a strong background in machine learning, and data science, and a passion for solving problems related to prioritization, classification, and clustering in the evolving field of cybersecurity. In this role, you will play a critical part in building and deploying machine learning models to enhance our prioritization and recommendation systems to improve alert fatigue. Your work will have a direct impact on optimizing processes and decision-making within our organization. Fill Application Form Key Responsibilities Data Preparation: Collect, preprocess, and clean data to make it suitable for machine learning tasks. Work...

#WeAreHiring | Explore Careers with Us 👉 www.onelabventures.com 📌 Job Details: Title: AI/ML Engineer Location: On-site (Pune, Maharashtra) Employment Type: Full-Time Experience: 1–4 years CTC: As Per Company Norms Important Notes: ✔️ Only Immediate Joiners preferred ✔️ Candidates from Maharashtra preferred ✔️ Preference for 2+ years in the same company ✔️ Local Pune candidates will get priority 🔹 Job Summary: We are seeking a skilled AI/ML Engineer to build, deploy, and optimize intelligent systems. The role involves working on ML pipelines, LLMs, and retrieval-augmented architectures for real-world applications. 🔹 Responsibilities: Build & maintain RAG pipelines (LlamaIndex, LangChain, vect...

Location: Kotak Mutual Fund Department: Data Science & Analytics Reports To: Lead- Analytics Job Summary: We are looking for a forward-thinking and impact-driven Senior Data Scientist to lead the development of advanced analytics solutions that directly enhance the productivity and profitability of our Digital Business, Marketing, and Operations functions using data science and analytics. Key Responsibilities: AI/ML Development: Design, develop, and deploy machine learning models including LLMs, predictive analytics, and fault detection systems using Python, Scikit-learn, XGBoost, and other frameworks. Also, manage the GenAI solutions using LLMs, LangChain for operational and business effici...

Job Purpose To manage & support Mumbai IT Operations conforming to Corporate IT Policies & Procedures, Vendor Management, corporate IT security, Compliance & governance defined to satisfy the business needs. Role would be responsible to build, deploy, and scale machine learning and AI solutions across GMR’s verticals. This role will build and manage advanced analytics initiatives, predictive engines, and GenAI applications — with a focus on business outcomes, model performance, and intelligent automation. Reporting to the Head of Automation & AI, you will operate in a high-velocity, product-oriented environment with direct visibility of impact across airports, energy, infrastructure and ente...

#WeAreHiring | Explore Careers with Us www.onelabventures.com Job Details: Title: AI/ML Engineer Location: On-site (Pune, Maharashtra) Employment Type: Full-Time Experience: 1–4 years CTC: As Per Company Norms Job Summary: We are seeking a skilled AI/ML Engineer to build, deploy, and optimize intelligent systems. The role involves working on ML pipelines, LLMs, and retrieval-augmented architectures for real-world applications. Responsibilities: Build & maintain RAG pipelines (LlamaIndex, LangChain, vector DBs) Train & deploy ML/DL models (CNN, RNN, Transformers, YOLO, Stable Diffusion) Develop backend systems & APIs (FastAPI, Flask, Django) Implement CI/CD & MLOps best practices (Docker, K8s...

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. - Developing strategies and solutions using machine learning, deep learning, and GEN AI techniques - Leading a team of data scientists for timely and high-quality project outcomes - Analyzing large and complex d...

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...