126 Lightgbm Jobs

Description Job Summary : We are seeking an experienced ML Engineer with strong hands-on expertise in Microsoft Fabric to design, build, and deploy end-to-end machine learning workflows for enterprise clients. The role involves developing scalable ML solutions using Fabric Data Science, Azure Machine Learning, and Spark-based frameworks, while ensuring production-grade deployment, monitoring, and integration with analytics platforms. Key Responsibilities Design, develop, and deploy end-to-end ML pipelines using Microsoft Fabric Data Science experience Build, train, evaluate, and operationalize machine learning models for enterprise use cases Track experiments, manage model versions, and enab...

Description Job Title : ML Engineer Snowflake Location : Chennai / Bangalore Compensation : Open to discussion Notice Period : Immediate joiners or candidates serving notice with 60 days About The Role We are seeking a skilled Machine Learning Engineer with hands-on experience in building and deploying machine learning models natively on Snowflake. The ideal candidate will design and deliver end-to-end ML workflows using Snowpark ML and Snowflakes native model management ecosystem for large-scale enterprise use cases. You will work closely with data engineers, analytics teams, and clients to productionize ML solutions that are scalable, secure, and performance-optimized within Snowflake. Key...

Role Overview - Research Scientist Propheus is seeking a Research Scientist to join us and make critical contributions to our research and development efforts. You will work closely with our team to build and deploy cutting-edge AI/ML models and systems that form the backbone of our product and solutions. This is a full-time onsite role at our office located in Bengaluru . . Responsibilities: ??Research, build and advance core foundational capabilities for Propheus, including the Digital Atlas and real-world models that form the company's core IP and power multiple applications. Lead the team working on various research projects in the field of Physical AI ranging from real world models to p...

About the Role: 03 Who We Are Kensho is S&P Global's hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates diverse ...

About Flutter Entertainment Flutter Entertainment is the world's largest sports betting and iGaming operator with 13.9 million Average Monthly Players worldwide and an annual revenue of $14 Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. As a pioneering force in the industry, Flutter is at the forefront of technological innovation, offering seamless digital experiences to millions of customers worldwide. With a commitment to responsible gaming and a focus on customer-first strategies, Flutter leverages its scale, diverse offerings, and data-driven insights to deliver entertainment while ensuring the highest s...

Role Overview: You will be a data scientist with expertise in machine learning and statistical analysis, responsible for designing and deploying impactful data solutions. Your role will involve collaborating with stakeholders to address business problems, developing predictive models, and leveraging data-driven insights to drive strategic decisions. Key Responsibilities: - Design and implement robust machine learning solutions, including regression, classification, NLP, time series, and recommendation systems. - Evaluate and optimize models using metrics such as AUC, RMSE, precision/recall. - Work on feature engineering, model interpretability, and performance optimization. - Partner with st...

In the ML Solutions team within Markets OPS Technology, you will be part of a group dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team focuses on creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and other Line of Businesses. By closely working with clients and business partners, you will progress solutions from ideation to production by leveraging entrepreneurial spirit and technological excellence. **Key Responsibilities:** - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, ensuring successful deployment into productio...

As an AI/ML Engineer at our company, you will be responsible for the following: - Building and fine-tuning models for NLP, computer vision, predictions, and more. - Engineering intelligent pipelines that are used in production. - Collaborating across teams to bring AI solutions to life (not just in Jupyter Notebooks). - Embracing MLOps with tools like MLflow, Docker, and Kubernetes. - Staying on the AI cutting edge and sharing what you learn; a mentorship mindset is a big plus. - Championing code quality and contributing to a future-focused dev culture. Qualifications required for this role include: - 3-4 years of experience in hardcore AI/ML or applied data science. - Pro-level Python skill...

As a Senior Manager of Applied Data Science at Aarki, you will play a crucial role in leading a high-performing data science team dedicated to optimizing our programmatic demand-side platform (DSP). Your responsibilities will include: - Building, nurturing, and mentoring a talented data science team, focusing on technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines specifically designed for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance evaluation. - Taking charge of process enhancements across the machine learning lifecycle. - Collaborating with decision scien...

As a hands-on ML Engineer at Phonologies, your role involves bridging data engineering and machine learning to design and implement production-ready ML pipelines that are reliable, scalable, and automation-driven. You will be responsible for owning the end-to-end workflow, from data transformation and pipeline design to model packaging, fine-tuning preparation, and deployment automation. This is a data-focused engineering position that requires a deep understanding of ML systems, building robust data workflows, and developing platforms that power AI in production. **Key Responsibilities:** - Design, deploy, and maintain end-to-end ML pipelines. - Build data transformation tiers (Bronze, Silv...

Role Overview: As a Data Scientist at GlobalLogic, you will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics and decision support, working with product teams to understand requirements and develop data-driven solutions, translating business requirements into machine learning tasks, creating visualizations to communicate model results to non-technical stakeholders, and staying up-to-date 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 analyt...

As a Senior Data Scientist at AuxoAI, you will be leading strategic initiatives by applying your deep expertise in advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your role will involve the following 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 (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact a...

In this role, you will leverage your deep expertise in statistical analysis, machine learning, and predictive modeling to solve complex business problems and deliver actionable insights using cutting-edge technologies. Provident fund

We are seeking a Mid-Level AI/ML Engineer to join our client's AI team and contribute to the development of cutting-edge intelligent systems. In this role, you'll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users. Required Qualifications Develop and fine-tune machine learning algorithms. Conduct experiments, evaluate model performance, and suggest improvements. Collaborate with senior engineers to implement production-rea...

As an experienced data scientist, you will be responsible for leading the development of predictive models from exploration to full-scale production deployment. Your key responsibilities will include: - End-to-End Product Ownership: Taking charge of developing predictive models and ensuring their successful deployment in production environments. - Prediction: Building robust regression, time-series, and deep learning models to predict prices/values of various commodities like financial assets, oil, and apparel. - Model Optimization: Continuously fine-tuning models for accuracy, performance, and scalability using real-time data feedback. - ML Ops & Deployment: Collaborating with engineering t...

Role : Associate Architect - Machine Learning (Azure Cloud) Experience : 6-13 Years Location : Bangalore Must have skills: Architect, develop, and deploy traditional machine learning solutions at scale. Lead end-to-end ML lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring. Evaluate and optimize existing models using traditional ML techniques. Proven expertise in traditional ML algorithms (regression, decision trees, SVM, ensemble models, clustering, etc.) Strong coding skills in Python with experience in ML libraries such as scikit-learn, XGBoost, LightGBM, etc. Solid grasp of data preprocessing, feature selection, and statist...

As a Staff Data Scientist at Walmart's Global Tech Enterprise Business Services, your role involves collaborating with a team of data scientists, machine learning engineers, and software engineers to design, architect, build, deploy, operate, and optimize AI/ML models and systems. You will work in an Agile practice in a highly collaborative environment, designing end-to-end system architecture for GenAI/AI/ML and data-intensive applications. Your responsibilities also include mentoring a team of data scientists, developing production-grade real-time/batch machine learning services, and working with product managers to design user journeys and analyze user telemetry. Additionally, you will id...

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we've announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the futu...

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we've announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the futu...

About Chargebee: Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform. Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA. Chargebee has raised over $480 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we're o...

Why this role We're building agentic AI for recruitment workflowssourcing, screening, interview assistance, and offer orchestration. You'll own LLM/agent design, retrieval, evaluation, safety, and targeted traditional ML models where they outperform or complement LLMs. What you'll do Hands-on AI (7080%): design & build agent workflows (tool use, planning/looping, memory, self-critique) using multi-agent frameworks (e.g., LangChain , LangGraph ; plus experience with similar ecosystems like AutoGen/CrewAI is a plus). Retrieval & context (RAG): chunking, metadata, hybrid search, query rewriting, reranking, and context compression. Traditional ML: design and ship supervised/unsupervised models f...

Position Summary... What you'll do... Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At FDF-DS , we help, support, and empower the Walmart's FinTech function with AI and GenAI solutions to improve productivity of Record To Report Walmart's associates. FDF-DS is a data science team supporting Fin Tech and Services across a multitude of use-cases and business domains. GLAD Team under FDF-DS to continuously monitor General Ledger (GL) account balances. It effectively identifies anomalies, supports detailed variance analysis, and significantly streamlines the financial reporting and reconciliation processes. GLAD integrates advanced AI technol...

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...