129 Lightgbm Jobs - Page 2

As a Staff Data Scientist at Walmart, you will play a crucial role in the GLAD team under FDF-DS, where you will help monitor General Ledger (GL) account balances, identify anomalies, support detailed variance analysis, and streamline financial reporting processes. Your responsibilities will include collaborating with data scientists, machine learning engineers, and software engineers to design, architect, build, and deploy AI/ML models and systems. You will also be involved in developing end-to-end system architecture for GenAI/AI/ML applications, constructing multi-agent intelligent workflows, mentoring junior team members, and working with product managers to design user journeys and anal...

Role Overview: You will be responsible for leveraging your 3+ years of experience in Data Science, machine learning, or related fields to tackle structured and unstructured data problems. Your expertise in Machine Learning and Statistics will be crucial as you develop, implement, and deploy machine learning models on cloud platforms such as Azure, AWS, and GCP. Your role will involve integrating machine learning models into existing systems, developing MLOps pipelines, monitoring model performance, and providing insights to stakeholders. Key Responsibilities: - Apply practical experience in time series forecasting, clustering, classification techniques, regression, boosting algorithms, optim...

Key Responsibilities Lead end-to-end forecasting strategy using advanced statistical and machine learning models (SARIMAX, ARIMA, LightGBM, Prophet, TFT, RNN, LSTM etc.) for complex business scenarios. Own forecasting lifecycle from data ingestion, preprocessing, and model development using advance feature engineering to deployment and performance optimization. Design scalable data pipelines and ETL processes leveraging Azure Data Factory (ADF) and other cloud-based tools. Implement automation and optimization for forecasting workflows to improve efficiency and accuracy. Develop advanced data collection techniques, including Python-based web scraping and API integrations for real-time data i...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

Role Overview: You will be joining the ML Solutions team within Markets OPS Technology, which is focused on developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a Data Scientist/Machine Learning Engineer, your primary responsibility will be to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. You will play a crucial role in guiding a team from initial concept to successful production, mentoring team members, collaborating with business partners, and ensuring adherence to regulatory requirements through cutting-edge technical solutions. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contri...

Introduction In the IBM Chief Analytics Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organizations. Your Role And Responsibilities As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven s...

As an AI Developer, you will be responsible for designing, developing, and deploying intelligent systems for text, image, and code generation by leveraging modern AI technologies and large language models (LLMs). You will play a key role in building conversational agents, generative pipelines, and embedding AI into real-world web applications. - Utilize OpenAI APIs (e.g., ChatGPT, DALLE) for advanced natural language and image generation tasks. - Implement and fine-tune pre-trained models using HuggingFace Transformers. - Design optimal prompts for LLMs to improve model output accuracy and relevance. - Develop and integrate embedding-based search systems using OpenAI Embeddings, FAISS, or Pi...

Experience : 5 years Notice Period : Immediate joiner Job Location : Bangalore (Hybrid) Job Description: Key Responsibilities Core Modeling & Algorithmic Work Develop and optimize models for classification, regression, clustering, forecasting, and recommendation systems . Use a range of algorithms such as: Regression Models: Linear, Ridge, Lasso, ElasticNet, Quantile, Poisson, etc. Classification Models: Logistic Regression, Decision Trees, Random Forests, XGBoost, LightGBM, SVM, Neural Networks, etc. Unsupervised Learning: K-Means, DBSCAN, Hierarchical clustering, PCA, t-SNE, Autoencoders. Time Series & Forecasting: ARIMA, SARIMA, Prophet, LSTM, and hybrid models. Recommendation Systems: Co...

Role Summary : We are seeking an experienced Data Scientist to drive data-driven decision-making for our bids, operations, and financial modeling functions. You will leverage advanced analytics and predictive modeling to help Ceres management optimize bid pricing, operational productivity, and margin forecasting by analyzing large volumes of historical and operational data. This is a hands-on, high-impact role interfacing with global stakeholders, particularly in pricing strategy, operational forecasting, and business performance analytics. - Bid Win Model : Develop predictive models estimating win probability by client, region, scope, and competitor profile. - Pricing Engine : Build elastic...

Key Responsibilities: Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills). Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning. Develop robust, data-driven models that incorporate market dynamics, patient behaviour, and competitive intelligence to generate accurate and actionable forecasts. Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning. Leverage statistical, machine learning, and deep ...

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organization At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered...

Role Overview: As an MLOps Engineer at our company, you will be expected to possess a strong blend of MLOps and ML engineering skills. Your primary responsibilities will revolve around handling tickets related to MLOps and Data Engineering, utilizing your expertise in Python, AWS services (such as ECS, Batch Compute, S3, Timestream, IAM, CloudWatch, Athena), Airflow for orchestration, MLflow for model versioning, GitLab CI, and eventually, AWS SageMaker pipelines. Additionally, you will be required to demonstrate your data engineering skills by expertly monitoring pipelines, investigating query issues, and ensuring smooth data flow from Bulk CDM to ALTO. Key Responsibilities: - Handle MLOps ...

We are looking for a Machine Learning Engineer to design, build, and deploy scalable predictive models and ML pipelines. The ideal candidate should have hands-on experience with classical ML algorithms, end-to-end model development, and strong Python programming skills. Responsibilities Develop and optimise predictive ML models using classical algorithms such as XGBoost, Gradient Boosting, Random Forest, and LightGBM. Build and maintain end-to-end ML pipelines from data preprocessing, feature engineering, and model training to validation and deployment. Apply probabilistic modelling and forecasting techniques (e. g., MCMC, Bayesian models) where relevant. Write efficient, reusable, and well-...

Overview Of The Role:- We are seeking a seasoned data science leader to head our Data Science Squad at the in Hyderabad for our clients. This role is ideal for a professional with deep experience in model building, stakeholder engagement, and delivery leadership. The Head of Data Science Squad will lead a team working across client's global brands, delivering impactful machine learning and predictive modeling solutions that power real-world business decisions. KEY RESPOBSIBILITIES: - Lead and inspire a cross-functional Data Science Squad, ensuring high-quality delivery of end-to-end solutions across product, marketing, and operations domains. Set the long-term strategic vision for the Data S...

About the Role The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production grade models with proven business impact, traceable lineage, and operational excellence at scale. Key Responsibilities Feature Engineering & Model Development o Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. o Build and iterate on ML models (forecasting/classification/regression) usi...

-Experience in building end-to-end ML pipelines and deploying models in production. -Experience with MLOps tools such as MLflow, Airflow, or Docker/Kubernetes. -Exposure to probabilistic modelling, Bayesian inference, or time-series forecasting.

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactori...

Job Title: Senior Data Scientist Location: DLF Cybercity, Porur, Chennai- India Experience: 8 - 12 Years About the Job : We are looking for a highly skilled and impact-oriented Senior Data Scientist to design, develop, and scale machine learning solutions that support critical decision-making across Credit Risk, Customer Growth, Marketing, and Operations in our Retail Banking division. This is a high-visibility Individual Contributor role, responsible for delivering production-grade models that directly drive business outcomes. The ideal candidate brings deep expertise in statistical analysis, machine learning, and data-driven problem solving, with a strong track record of translating comple...

Strong expertise in deploying machine learning models in real-world environments. Hands-on experience in Automated Valuation Models (AVM) , LangChain , and LLM-powered applications . Proficiency with Python-based data science tools like Pandas , NumPy , Scikit-learn , XGBoost , and LightGBM . Skilled in feature engineering , data intelligence extraction , and handling structured, semi-structured, and unstructured data . Experience integrating models into APIs and production environments.

What will you do As a Data Scientist at Prefr, you will apply your creative problem-solving and analytical skills to design and deploy high-impact machine learning models across multiple business functions. You will be responsible for: Design, validate, and productionize advanced machine learning and deep learning models to generate actionable insights for strategic business decisions. Focus areas include credit risk prediction, propensity modeling, fraud detection, collection efficiency improvement, and other finance-related applications. Optimize and tune machine learning algorithms for performance and scalability, ensuring seamless integration with production pipelines and robustness in r...

About ShyftLabs ShyftLabs is a fast-growing data product company founded in early 2020, working primarily with Fortune 500 clients. We design and deliver cutting-edge digital and data-driven solutions that help businesses accelerate growth, improve decision-making, and create measurable value through innovation. Position Overview We are seeking an experienced Data Scientist who can drive performance improvements and cost efficiencies in our products through a deep understanding of machine learning (ML) and infrastructure systems. In this role, you'll provide data-driven insights and scientific solutions that directly influence our product strategy and business outcomes. Key Responsibilities ...

Experience :5 to 8 Years Job Location :Bangalore Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI Position Overview We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications. Key Responsibilities AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep lear...

As a Senior Data Scientist specializing in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing, you will be at the forefront of developing cutting-edge AI/ML solutions for real-world applications. Your role will involve hands-on experience with Large Language Models, Transformer architectures, Computer Vision, and Reinforcement Learning to build, fine-tune, deploy, and optimize state-of-the-art solutions. Key Responsibilities: - Design, develop, and deploy advanced AI/ML models such as Large Language Models, NLP pipelines, CV models, and RL algorithms. - Research, prototype, and implement solutions using transformer-based architectures like BERT, GPT, and LLaMA. -...

**Job Description:** As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge AI solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). You should have a strong foundation in applied ML/DL concepts and a willingness to stay updated with the latest advancements in the field. Your role will involve working with various programming languages, machine learning frameworks, and deep learning techniques to build AI systems that address complex challenges. **Key Responsibilities:** - Strong proficiency in Python, data structures, and algorithms. - Hands-on experience with NumPy, Pandas, and Scikit-learn for ML prototyping. - Und...

As a Senior Consultant in Data Science and Analytics at TransUnion, you will bring your expertise as an experienced data scientist with a strong mathematical programming background and advanced software development skills to support the development of cutting-edge analytic platforms. Your role will involve partnering with internal and external cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets. Key Responsibilities: - Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive, and Spark, and formalize these efforts into repeatable process improvements. - Assist Global Technology in maintaining t...