1543 Xgboost Jobs - Page 5

Job Description Global Data Insights and Analytics ( GDI&A ) navigates Ford Motor Company through the disruptions of the information age, unleashing the power of Data, Advanced Analytics, and AI to drive value and help transform Ford Motor Company through proactive, actionable, evidence-based decision making. GDI&A delivers data-driven platforms, advanced analytics, and AI/ML solutions to support Ford’s Industrial System, Sales, Service, Marketing, Strategy, Finance, and Ford Credit. We are seeking an initiative-taking and experienced candidate to lead and mentor a multi-skilled product team comprising of data scientists, machine learning engineers, product designers, and software engineers ...

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...

Req ID: 343719 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Intermediate / Senior Machine Learning Engineer (Production & MLOps Focus) to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). Job Title: Intermediate / Senior - MLE - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done... our innovative culture demands "ye...

Experience : 1.00 + years Salary : INR 1800000-2200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: graph features (PPR, Graph/GraphRAG: Neo4j, Jaccard) for constrained recommendations, Re-rankers: cross-encoders, reranking with transformers, Languages: Python 3.10+, Classical ML: scikit-learn, cross-val, Data: pandas, Delta Lake (S3), Feature Engineering, LightGBM/XGBoost, model se...

Job Title: Consultant I/ II – Analytics Location: Ahmedabad or Gurgaon (Hybrid) Job Type: Full-Time About the Role: We are looking for a Consultant I or II – Analytics to join our growing team and drive direct marketing performance through data-driven insights. In this role, you will work on end-to-end analytics tasks — from building predictive models and segmentations to uncovering actionable insights and preparing client-ready presentations. This is an exciting opportunity to make an impact on the direct marketing strategies for leading brands in the US. Key Responsibilities: Build predictive models and segmentation frameworks to support marketing initiatives Target the top performing segm...

Experience : 1.00 + years Salary : INR 1800000-2200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: graph features (PPR, Graph/GraphRAG: Neo4j, Jaccard) for constrained recommendations, Re-rankers: cross-encoders, reranking with transformers, Languages: Python 3.10+, Classical ML: scikit-learn, cross-val, Data: pandas, Delta Lake (S3), Feature Engineering, LightGBM/XGBoost, model se...

Position at India Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our tec...

Senior Director-Data Science - Job Title: Head - Data Science Location: Noida Department: Data Science Reports to: Global CPTO About the Role We are seeking a visionary Head of Data Science to lead and scale our data science function in a fast - growing Fintech environment. This role is pivotal in driving data - driven decision - making, optimizing financial products, and building advanced machine learning models that enhance customer experience, manage risk, and fuel business growth. As the Head of Data Science, you will be responsible for defining our data strategy, leading a high - performing team of data scientists , AI/ML Eng ineers and Credit Risk analysts. C ollaborating cross - funct...

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...

AI/ML Engineer Location: Remote - Pan India Work Hours: 12 PM – 9 PM IST (US overlap) Experience: 8+ Years (Minimum 7+ Years Hands-on in AI/ML) Job Description We are looking for a Senior AI/ML Engineer with strong hands-on coding experience in Python and deep understanding of ML algorithms and GenAI systems . This is an individual contributor role focused on building and deploying production-grade AI/ML pipelines , including RAG, LangChain, LangGraph, and Agentic AI workflows . This is a niche position focused on building next-generation AI/ML solutions within Clinical R&D and other strategic initiatives. Key Responsibilities Build, optimize, and deploy end-to-end ML and GenAI solutions for...

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 ...

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA - Data & Insights, AI Analytics Engineering Data Science Intern Team: EA - Data & Insights, AI Analytics Engineering Type: Internship (Full-time during term) About The Team EA is a global leader in digital interactive entertainment. The EA - Data & Insights, AI Analytics Engineering team plans, builds, and ships enterprise-grade data platforms, in...

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 Role Overview: 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 implementin...

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and...

Home » ML Engineer ML Engineer by HR Neev Systems October 21, 2025October 21, 2025 Experience: 5+ Years Location : Hyderabad About The Role We are seeking a highly skilled and experienced Machine Learning Engineer to lead the design and implementation of cutting-edge ML solutions across our organization. You will be responsible for prototyping and taking models all the way from proof-of-concept to production deployment. This role requires a deep understanding of ML algorithms, data processing pipelines, model optimization, and production-grade engineering practices. Key Responsibilities Build and validate ML prototypes to solve real business problems Develop, test, and optimize ML models usi...

Company Overview Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property ...

Job Title: Data Scientist with Databricks & Gen AI Location: Colaba, Mumbai Duration: Full time Experience: 2-5 Years Skills: Classical ML, Databricks, exposure to Generative AI About Us: Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation. We are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team. Job Summary: We are looking for a highly skilled Data Scien...

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and...

As a Senior AI Engineer at our company, you will be responsible for developing and deploying AI/ML solutions, focusing on Generative AI and Data Science. You will collaborate with AI Architects, backend developers, and cross-functional teams to deliver scalable, production-grade solutions across various domains such as HR, insurance, and content moderation. **Key Responsibilities:** - Design and develop LLM-powered chatbots and applications using models like GPT-3.5, GPT-4o, DBRX, and LLAMA3. - Fine-tune open-source LLMs using techniques such as QLoRA and PEFT on domain-specific datasets (e.g., resumes, insurance policies). - Create intelligent agents for tasks like policy recommendations, d...

As an experienced AI/ML Solution Architect at our company, you will play a crucial role in designing and delivering enterprise-grade Machine Learning and Generative AI solutions. Your responsibilities will involve defining scalable architectures, collaborating with various teams, and providing technical leadership. Here's a breakdown of what to expect: **Key Responsibilities:** - Define and own end-to-end AI/ML architecture, covering data pipelines to production deployment. - Evaluate and select ML frameworks, tools, and platforms for scalability, cost-efficiency, and maintainability. - Design feature stores, data pipelines, and inference services for real-time and batch ML workloads. - Esta...

As an experienced developer, you will be responsible for owning the development of applications with a focus on correctness, resilience, and quality. Your role will involve troubleshooting system problems, conducting impact analysis of changes, and taking ownership of the full software development lifecycle. You will create detailed technical specifications, test case documents, and design and implement data models to support various business needs. Key Responsibilities: - Own the development of applications with a focus on correctness, resilience, and quality - Troubleshoot system problems and conduct impact analysis of changes - Take ownership of the full software development lifecycle - C...

Company Overview Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property ...

As a Data Scientist at our company, you will be responsible for leveraging your expertise in predictive modeling, time-series forecasting, and scenario analysis to drive data-driven decisions in the media and finance domains. Your role will involve a combination of advanced technical proficiency and the ability to translate analytical insights into strategic business outcomes. Key Responsibilities: - Design and implement forecasting and predictive models using statistical and machine learning techniques such as ARIMA, Prophet, XGBoost, and LSTM. - Build and validate scenario and what-if simulation models, applying explainable AI methods like SHAP and feature importance. - Develop end-to-end ...

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and...

Required Qualifications: · Master’s or PhD in Computer Science, Data Science, Statistics, or related field. · 5–8 years of experience in data science and ML, with strong enterprise project delivery experience. · Proven success in building and deploying ML models and recommendation systems at scale. · 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, Lang Chain, Vector DBs, or model fine-tuning. · Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, and Tensor Flow). · Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, and Azure M...