230 Ml Pipelines Jobs - Page 2

Roles & responsibilities: : The candidate must be able to independently manage his/ her own workstream and effectively collaborate with other regional teams. Develop and deploy machine learning models to support key business areas such as Credit Risk, Fraud Detection, Customer Segmentation, Marketing Optimization, and Collections Strategy. Collaborate with cross-functional teams (Data Engineers, Product Managers, Engineers) across Chennai, Manila, and Singapore to deliver production-grade ML solutions aligned with business goals. End-to-End Ownership: Drive the full lifecycle of ML solutionsfrom data exploration, feature engineering, and algorithm selection to deployment and performance moni...

Job Profile: Machine Learning Engineer - II Location: Bangalore | Karnataka Years of Experience: 3 - 5 Position Overview: You will be part of Swiggy's Machine Learning Platform team, building the foundations that power large-scale prediction systems such as ETA, pricing, and demand forecasting. This role combines applied modeling, data science, and engineering rigor - enabling models to be not just accurate in research but reliable, explainable, and production-ready at scale. What qualities are we looking for . Strong grasp of machine learning fundamentals - supervised learning, regularization, validation strategies, and performance metrics. . Working understanding of statistics and data ana...

Job Profile: Machine Learning Engineer - II Location: Bangalore | Karnataka Years of Experience: 3 - 5 Position Overview You will be part of Swiggy's Machine Learning Platform team, building the foundations that power large-scale prediction systems such as ETA, pricing, and demand forecasting. This role combines applied modeling, data science, and engineering rigor enabling models to be not just accurate in research but reliable, explainable, and production-ready at scale. What qualities are we looking for Strong grasp of machine learning fundamentals supervised learning, regularization, validation strategies, and performance metrics. Working understanding of statistics and data analysis, in...

Job Profile: Machine Learning Engineer: I Location: Bangalore | Karnataka Years of Experience: 1 - 3 Position Overview You will be part of Swiggy's Machine Learning Platform team, building the foundations that power large-scale prediction systems such as ETA, pricing, and demand forecasting. This role combines applied modeling, data science, and engineering rigor enabling models to be not just accurate in research but reliable, explainable, and production-ready at scale. What qualities are we looking for Strong grasp of machine learning fundamentals supervised learning, regularization, validation strategies, and performance metrics. Working understanding of statistics and data analysis, incl...

Job Summary: We are seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning models and solutions. You will collaborate with data scientists, software engineers, and product teams to build scalable ML systems that provide actionable insights and enhance product capabilities. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to solve real-world problems. Collaborate with data scientists and engineers to understand business requirements and translate them into ML solutions. Build and maintain scalable and production-ready ML pipelines and infrastructure. Perform data preprocessing, feature engineering, and model train...

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML mode...

Job Summary: We are seeking a skilled Machine Learning Developer to design, develop, and deploy machine learning models that solve complex business problems and enhance our products and services. You will collaborate closely with data scientists, software engineers, and business stakeholders to build scalable, efficient, and maintainable ML solutions. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to address business needs. Preprocess, clean, and analyze large datasets to extract useful features and insights. Experiment with different ML algorithms and frameworks to optimize model performance. Collaborate with data engineers to integrate ML models...

What you will do: ACVs Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML teams solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as weve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as...

AI/ML Engineer (7+ Yrs) Pune WFO AI/ML models at scale. Work hands-on with TensorFlow, PyTorch & scikit-learn, build ML pipelines, handle real-time data (Kafka) and ensure production-grade performance & monitoring.

As an MLOps Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system and deploying state-of-the-art AI solutions for clients. You will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Working across all phases of model development to build MLOps components - Developing the knowledge base requi...

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India ...

Role Overview We are looking for a dynamic and execution-driven AI Head to lead our Data Science and AI initiatives , with a strong focus on Generative AI . This is a leadership role with direct visibility to CXOs and MD and a chance to shape the AI charter of a rapidly evolving financial institution. Key Responsibilities:- Lead AI Strategy: Define and drive the AI & GenAI roadmap aligned with business goals. Ability to find hidden usecases of GenAI to improve productivity and reduce risks. Build GenAI Capabilities: Develop use cases across customer engagement, automation, credit, fraud detection, personalization, and internal efficiency. Team Leadership: Build and mentor a high-performing t...

4+ years of experience with at least 2+ years of relevant DS experience. Proficient in a structured Python (preferred) Follows good software engineering practices and has an interest in building reliable and robust software. Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem. Conducting quantitative analyses and interpreting results. Working knowledge of Linux or Unix environments ideally in a cloud environment. Working knowledge of Spark/PySpark is desirable. Excellent written and verbal communication skills.

Role Summary: Designs and implements machine learning models and algorithms to solve complex data problems. Responsibilities: Build and train ML models using structured and unstructured data. Optimize model performance and scalability. Collaborate with data scientists and software engineers. Qualifications: Bachelors or Master’s in Computer Science, AI, or related field. Experience with ML frameworks and libraries. Key Skills: Python, R TensorFlow, PyTorch, Scikit-learn Data preprocessing and feature engineering Model evaluation and deployment

Key Responsibilities : We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the R&D team at Siemens EDA. In this role, you will : Architect, design, and implement AI algorithms and applications using modern software development practices to enhance simulation tools performance and capabilities. Create prototypes to validate ideas and features quickly. Experiment with various algorithms and technologies to improve AI capabilities and software solutions. Contribute to the development and enhancement of production-quality components, algorithms, and engines while supporting and improving existing codebases. Solve complex, open-ended probl...

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issu...

Role & responsibilities ML ENGINEER - Production MLOps & Model Deployment Preferred candidate profile ML ENGINEER - Production MLOps & Model Deployment Position Title: ML Engineer - Vertex AI Pipeline Specialist Position Summary: The ML Engineer will operationalize Clients predictive models through robust MLOps pipelines on GCP Vertex AI. This role focuses on model deployment, monitoring, and CI/CD integration to ensure scalable, reliable analytics solutions for lead scoring, pricing optimization, and retention modeling within Client’s semi-Agile delivery framework. Core Responsibilities: Build end-to-end MLOps pipelines using Vertex AI Pipelines and Feature Store Implement model versioning,...

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting chall...

Job Description: Designation: Sr. MLOps Engineer Location: Hyderabad Advanced Analytics Center Role Value Proposition Bridging the gap between machine learning and operational excellence within a Advanced Analytics team. By automating the deployment, monitoring, and maintenance of machine learning models, this role ensures that data-driven insights are seamlessly integrated into business processes. Collaboration with data scientists and engineers, the ML Ops Engineer enhances model performance, scalability, and reliability. Drive efficiency and innovation, fosters a culture of continuous improvement, enabling the organization to leverage machine learning for data decision-making. Job Respons...

5 years of experience in MLOps and building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow

5 years of experience in MLOps and building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow

About the Role: We are seeking an experienced Machine Learning Engineer Manager with 8-10 years of hands-on experience in machine learning, data science, and AI development, combined with proven leadership skills. You will lead a team of talented ML engineers and data scientists to design, build, and deploy scalable machine learning solutions that drive business impact. This role involves strategic planning, cross-functional collaboration, and mentoring team members to excel technically and professionally. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for various applications. Collaborate with data scientists, data engineers, and product teams to un...

CONTRACT TO HIRE OPPORTUNITY Must Have Skills 7+ years in AI/ML model development & deployment. Hands-on with TensorFlow, PyTorch, scikit-learn. Strong in Python, ML pipelines, and real-time data tools (e.g., Kafka). Experience in productionizing, optimizing, and monitoring AI/ML models. Collaboration with data engineering teams for data prep & consistency. Good to Have Knowledge of MinIO/S3/object storage. Experience with AWS SageMaker or other cloud AI/ML platforms.

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...