1532 Mlops Jobs - Page 14

Mandatory Skills: Core MLOps Experience- Must have at least 3 years of hands-on MLOps work (not just ML or DevOps). Experience in productionizing machine learning models at scale. ML Model Monitoring & Performance Metrics Model Deployment & Optimization Pipeline Automation Strong Python Skills and Pyspark CI/CD and DevOps for ML Cloud Experience (AWS/Azure/GCP)

About the Role We are seeking a qualified AI Automation Engineer to join our team. The successful candidate will design, develop, and deploy AI-powered automation solutions to enhance operational efficiency. Key Responsibilities Design, build, and maintain scalable automation workflows across different business processes Analyze business processes and model them using automation frameworks Implement and manage automations using low-code/no-code tools (e.g., n8n, Zapier, Make, Power Automate) and custom scripts Integrate systems and data sources, including CRMs, product analytics, forms, and webhooks Collaborate cross-functionally with various departments to ensure end-to-end automation align...

hands on experience in Cloud,GenAI,Agentic AI,MLOps

Position: Senior Staff Engineer - MLOps Location: Bengaluru, India What You Will Do: Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep). Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow. Implement best practices in model versioning, model registry, experiment tracking, and artifact management. Ensure security, compliance, and cost ...

Role Overview: As an Analyst, your role will involve gathering, interpreting, and utilizing data to support business decisions, identify trends, and provide actionable insights. You will play a crucial part in improving performance and driving strategic initiatives within the organization. Key Responsibilities: - Collect, process, and analyze data from various internal and external sources. - Develop and maintain dashboards, reports, and Key Performance Indicators (KPIs). - Analyze complex datasets to identify trends, patterns, and opportunities. - Provide clear, concise, and actionable insights to stakeholders. - Support strategic planning, forecasting, and business decision-making. - Colla...

Role Overview: You will be leading the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. Your role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining architecture for secure, ethical, and performant AI systems. Key Responsibilities: - Establish and own the Generative AI Stack, including LLMs and RAG systems - Lead LLM development, training, and optimization - Design and enforce enterprise-level data architecture and governance strategy - Direct the implementation of LLMOps and MLOps practices for seamless deploym...

As a Senior Data Engineer at our company, you will play a crucial role in designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This hands-on role requires strong expertise in Databricks, Spark, AWS, and MLOps. You will work on high-impact projects in a hybrid work environment across multiple locations in India. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices including CI/CD, MLflow/SageMaker, monitoring, and retraining. - Develop and manage cloud-native solutions on AWS. - Design and monitor KPIs for data systems. - Apply data observability practices to e...

As an experienced Data Scientist at Citco Bank, your role will involve leading the analytics team in developing and implementing sophisticated machine learning models and data-driven solutions to drive data-based decision-making across banking and financial services operations. You will collaborate with business stakeholders, manage a team of business intelligence experts, and work closely with technology teams to implement new techniques into Citco Bank environments. **Key Responsibilities:** - Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems - Collaborate with business stakeholders to understand requirem...

A Developer will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. • Technical Expertise : Strong Programming skills in Python or Scala. Deep knowledge of AI technologies like machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn(e.g., APIs, microservices, event-driven IT,MLflow) . Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps) . Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Hands on Experinece : Hands-on ...

Machine Learning - General Experience, Model Deployment and Monitoring. Practical experience with Generative AI frameworks. Delivering impactful solutions in NLP, machine vision, and AI. programming skills in Python, and proficiency in deep learning

Senior Software Engineer role to build and automate ML model compliance workflows. Focus on packaging, profiling, optimization, deployment, and security in cloud-native CI/CD. Skills: GoLang/Python, MLflow, ONNX, Kubernetes, KitOps, Cloud.

Experience - 5 to 8 years Location - Chennai, Bangalore, Pune, Noida, Hyderabad Notice period - immediate to 30 Days ETL Testing (Data Pipelines) MLOps Azure Databricks Azure Data Factory/Azure WebApps Azure DevOps Testing microservices and APIs Agile/Scrum methodologies

We are hiring a Lead Data Scientist (AI Division) for our client, M&M Consultant, in Kandivali (East), Mumbai. The ideal candidate will have 5-7 years of experience in AI/ML, Deep Learning, Python, and Generative AI (LLMs/SLMs). You will lead the design, development, and deployment of cutting-edge AI/ML solutions across structured, unstructured, and audio data domains. This role requires strong technical expertise, leadership skills, and the ability to deliver scalable AI-driven business solutions.

Role Description Build, train, and deploy machine learning and deep learning models using TensorFlow (or PyTorch) and Scikit-learn . Develop GenAI/LLM applications including conversational agents, summarization, RAG pipelines, and document intelligence. Perform data preprocessing, wrangling, and feature engineering with Pandas and NumPy. Partner with data engineering teams to design scalable data and model pipelines for training and inference. Lead model evaluation, optimization, monitoring, and governance to ensure robustness, fairness, and scalability. Provide technical mentorship to the data science team and promote coding excellence and reproducibility. Present analytical findings and AI...

You are being offered a role at Optimum Data Analytics (ODA) as a Lead Data Scientist / AI Solution Architect. At ODA, the focus is on empowering organizations with advanced data and AI solutions tailored to real-world challenges. As part of the AI & Data team, you will play a crucial role in designing and deploying AI/ML solutions with cutting-edge technologies. **Role Overview:** As a Lead Data Scientist / AI Solution Architect at ODA, your responsibilities will include: - Architecting and implementing end-to-end AI/ML solutions using Azure AI/ML services - Leading the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) - Working with containe...

As an AI Automation Engineer, your role will involve designing, developing, and implementing intelligent automation solutions using AI, machine learning, and automation tools. You will collaborate with cross-functional teams to integrate AI-powered automation into enterprise systems. Key Responsibilities: - Design and develop AI-driven automation solutions to optimize workflows and business operations. - Implement machine learning models and AI algorithms to enhance process automation. - Develop and maintain automation scripts, bots, and AI-based workflows. - Integrate AI automation with existing systems, APIs, and databases. - Utilize RPA tools such as UiPath, Automation Anywhere, or Blue P...

As an MLOps Engineer at Fractal Analytics, you will be tasked with collaborating 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 - Utilizing Machine Learning Services like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Working across all phases of the model development lifecycle to construct MLOPS components - Establishing the kno...

As a GenAI Architect & People Manager at Amdocs, you will play a crucial role in leading our GenAI initiatives by leveraging your technical depth and leadership capabilities. Your responsibilities will include: - Leading the design and implementation of GenAI and ML-based solutions across various business use cases. - Translating business requirements into technical architectures using Azure/AWS Cloud Platforms. - Managing and mentoring a multidisciplinary team of engineers, data scientists, and ML specialists. - Driving adoption of Databricks, PySpark, and Java-based frameworks within solution development. - Collaborating closely with product owners, data engineering teams, and business sta...

As an Applied AI/ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you will be a seasoned member of an agile team responsible for designing and delivering trusted data solutions in a secure, stable, and scalable manner. Your role involves developing, testing, and maintaining critical data pipelines and architectures to support the firm's business objectives across various technical areas within different business functions. **Key Responsibilities:** - Efficiently design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. - Conduct research on prompt engineering techniques to enhance the performance of prompt-based ...

As a Data Platform Engineering Lead at JPMorgan Chase within Asset and Wealth Management, you have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. You are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Key Responsibilities**: - Lead the design, development, and implementation of scalable data pipelines and ETL b...

As an Associate Software Architect - AI Solutions at our company, you will play a crucial role in collaborating with AI/ML engineers, developers, and platform architects to define end-to-end solution architectures for AI-powered systems. Your responsibilities will include designing and reviewing architectures that support LLM-based, Deep Learning, and traditional ML workloads with a focus on modularity, performance, and maintainability. Additionally, you will be driving architectural alignment across various components such as model serving, orchestration layers, data pipelines, and cloud infrastructure. Your role will also involve incorporating Non-Functional Requirements (NFRs) like scalab...

Role Overview: As a Machine Learning Engineer, your main objective will be to design, implement, and deploy machine learning models. You will collaborate with data scientists to transform prototypes into production systems and manage and automate the end-to-end machine learning lifecycle. Your responsibilities will also include implementing continuous integration and continuous deployment (CI/CD) pipelines specifically tailored for ML workflows, monitoring the performance of deployed models in real-time, handling model drift, and implementing retraining strategies. It will be crucial for you to ensure reproducibility, traceability, and versioning for ML models and datasets, as well as optimi...

Role Overview: As an AI Engineer at UST, you will be a crucial part of the team responsible for developing and deploying innovative AI solutions. You will collaborate with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life, contributing to the AI transformation of the organization. Key Responsibilities: - Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. - Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development. - Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless fun...

You are a skilled and passionate Lead Systems Engineer with expertise in Data DevOps/MLOps, responsible for driving innovation and efficiency across data and machine learning operations. **Key Responsibilities:** - Design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment - Establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions - Automate critical workflows such as data validation, transformation, and orchestration for streamlined operations - Collaborate with cross-functional teams to integrate ML solutions into production environments - Improve model serving, performance monitoring, an...

As an Associate Data Scientist at Data Axle Inc., you will be a part of the Data Science Client Services team dedicated to identifying high-quality target audiences that drive profitable marketing returns for our clients. You will have the opportunity to work on various projects and collaborate with a talented team to design, build, and deploy impactful predictive marketing solutions across different verticals. Key Responsibilities: - Take ownership of designing, implementing, and deploying machine learning algorithms within a modern Python-based cloud architecture. - Design or enhance machine learning workflows for tasks such as data ingestion, model design, model inference, and scoring. - ...