1524 Mlops Jobs - Page 12

Job Description: As a candidate for this role, you will be responsible for designing and implementing Application MLOPs frameworks. You will play a key role in deploying the ML Model end to end and be an expert on Azure DevOps Pipelines. Your duties will include working on Model and Data Drift frameworks, as well as building and maintaining CI/CD/CT pipelines across the Azure cloud platform for Data science projects. Your experience in MLFlow will be crucial as you envision, implement, and rollout the best MLOPs/DevOps tools and automation. Additionally, having LLMOPS knowledge would be a nice-to-have skill. Key Responsibilities: - Design and implementation of Application MLOPs frameworks - ...

Role Overview: As an Engineer III DevOps at NPS Prism, you will play a crucial role in the transition of the company from a consulting-led business to a technology-led business. Your expertise in CI/CD, cloud technologies like Microsoft Azure / AWS, Docker, Kubernetes, Jenkins, python scripting, and bash scripting will be instrumental in solving real-world problems and developing highly scalable applications within our dynamic team. Key Responsibilities: - Implement and manage continuous delivery systems and methodologies on AWS and Azure - Develop and maintain an efficient operations process with metrics reporting and platform performance - Implement best practices for automation, GitOps, a...

Role : MLOPS Engineer Experience : 4+ to 10 Years Relevant Experience : 2+ Years Location : Hyderabad Mode of Interview - In Person - Hyderabad Date : 11th Oct 2025 (Saturday) Note : (Scheduled In-Person Only) No Walk-In Interview MLOps Engineer Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline DriftDetection, Data Drift, Model Drift ExperimentTracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively i...

Role & responsibilities Preferred candidate profile Design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems. • Cooperate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals. • Offer technical leadership and expertise in choosing, evaluating, and implementing software technologies, tools, and frameworks in a cloud-native (Azure + AML) environment. • Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems. • Participat...

As a Senior Data Scientist at EY, you will be a key player in the development and implementation of AI solutions, leveraging your technical expertise to contribute to cutting-edge projects. Your responsibilities will include: - Contributing to the design and implementation of state-of-the-art AI solutions. - Assisting in the development and implementation of AI models and systems, with a focus on Language Models (LLMs) and generative AI. - Collaborating with stakeholders to identify business opportunities and define project goals. - Staying updated with advancements in generative AI techniques like LLMs and evaluating their applications in solving enterprise challenges. - Developing innovati...

As a highly skilled Data Scientist specializing in AI agents, generative AI, and knowledge engineering, you will be responsible for enhancing AI-driven cloud governance solutions at our company. Your role will involve advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Your contributions will directly impact FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. **Key Responsibilities:** - Design, develop, and optimize LLM-based multi-agent systems for cloud governance. - Implement agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS ...

Skills, Experience & Qualifications Required 5+ years building and deploying applications using AWS cloud technologies as an AI/ML engineer or in at least one of the following areas: Data engineering, Cloud engineering, backend or full-stack engineering, MLOps, DevOps. Data Science, AI/ML pipelines on Amazon Sagemaker, Bedrock or other cloud environments Experienced designing APIs & microservices, integration among AWS databases, backend services Skills in automation and virtualisation related to model deployment and scaling, Infra as Code with Terraform Familiarity with different microservice deployment methodologies, including A/B testing, blue-green and canary deployments Proficient in Py...

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems. Key Responsibilities; Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving. Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions. Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker. Optimize training ...

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems. Key Responsibilities; Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving. Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions. Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker. Optimize training ...

Responsibilities: * Lead data science initiatives from ideation to implementation. * Develop predictive models using ML, DL & NLP techniques. * Collaborate with cross-functional teams on project delivery. Provident fund

Notice Period-Immediate Joiner or Max 10 days(Do not share long notice period profile.) Permanent Payroll - Anlage Infotech Client - NTT DATA Location- Bangalore - Hybrid - 1/2 days in a week. Role & responsibilities Mandate - Python + GenAI +CI/CD pipelines Work location - Gold Hill Excelsior Park, South Tower, First Main Road, Electronic City Phase II( Bangalore Client office Siemens Exp - 7+ years Hybrid (3 days a week to office) JD - Senior Software Developer Python POSITION GENERAL DUTIES AND TASKS : 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services fo...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking- Data Technology, you have the opportunity to impact your career and engage in an adventure where you can push the limits of what's possible. You are an integral part of an agile team that works towards enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role as a core technical contributor involves conducting critical technology solutions across multiple technical areas within various business functions to support the firm's business objectives. - Executes creative software solutions, design, development, and technical troubleshootin...

You are responsible for leading and managing end-to-end AI/ML and GenAI projects, defining project scope, objectives, deliverables, timelines, and resource requirements. You will collaborate with data scientists, ML engineers, software developers, and business stakeholders to ensure successful project execution. Additionally, you will oversee the design, development, and implementation of AI/ML models, ensuring best practices in model training, validation, and deployment. It is also your responsibility to evaluate and integrate Generative AI technologies to enhance business processes and customer experiences, manage project risks, dependencies, and issue resolution, and track project progres...

ViewTrade is a leading force in powering fintech and cross-border investing for financial services firms globally. With a focus on providing technology, support, and brokerage services, ViewTrade assists business innovators in launching or enhancing retail, fintech, wealth, or cross-border investing experiences. Over the past three decades, ViewTrade has collaborated with 300+ firms, ranging from technology startups to large banks, brokers, super apps, advisory, and wealth management, to create unique investment experiences tailored to meet customer demands. Operating in over 29 countries, ViewTrade's team brings decades of experience and expertise in financial services technology and servic...

**Job Description** **Role Overview:** As the Head of AI Engineering at US Tech Solutions, you will be responsible for architecting, scaling, and leading the AI Factory. Your role involves spearheading the development of transformative AI solutions, managing a large engineering team, and collaborating with clients to create rapid prototypes and production-grade solutions. This high-impact leadership position requires proven success in building AI teams, delivering Gen AI applications, and excelling in a fast-paced, client-centric environment. **Key Responsibilities:** - Build & Scale the AI Factory: Establish a world-class AI engineering organization capable of handling multiple internal and...

As a Head of AI Engineering at ScalePad, you will be responsible for leading AI development initiatives, shaping the AI strategy, and guiding teams in building impactful AI applications. Your role will involve technical leadership, AI governance, team management, and cross-functional collaboration to drive innovation and enhance developer productivity. Here is a detailed breakdown of your responsibilities and qualifications: **Responsibilities:** - **Technical Leadership & AI Strategy:** - Architect state-of-the-art AI applications leveraging advanced prompting techniques, frameworks, and data access. - Provide expertise in ML, Large Language Models, Graph Neural Networks, and multi-modal AI...

Role Overview: The Red Hat Experience Engineering (XE) team is seeking a skilled AI Technical Strategist/Software Engineer with expertise in programming and a deep understanding of LLMs, including practical experience with retrieval augmented generation (RAG) and agentic AI approaches. As part of this role, you will be responsible for shaping the technical strategy for implementing AI and related solutions across the XE business. Your primary tasks will include prototyping solutions, exploring data and models, and collaborating with various teams to understand problem statements and feasibility. Additionally, you will be based in Pune, India, and will need to work in alignment with US East C...

As an AI Engineering Manager, you will play a crucial role in guiding a team of talented engineers to build innovative and high-performance AI solutions. Your responsibilities will include: - **Team Leadership & Development**: - Lead, mentor, and inspire a team of AI/ML engineers and data scientists. - Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. - **Technical Strategy & Vision**: - Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. - Define the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. - **Project & Budget...

In this role, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. Your primary responsibility will be to join the AIM Fraud analytics team as a Data Scientist in the Generative AI (Gen AI) team. Your role will involve transforming fraud prevention and operations through the development and deployment of cutting-edge AI solutions that enhance fraud detection, reduce false positives, and optimize operational efficiency. **Key Responsibilities:** - Lead the design and implementation of generative AI use cases, from ideation to production. - Build ...

Job Description: TE Connectivity is transitioning to an AI Center of Excellence (CoE) model to democratize AI/ML for both business and technical users. As the AI/ML Technical Capability Owner, you will play a crucial role in defining technical golden paths, reference architectures, and persona-approved toolsets across AWS and Databricks. Your responsibilities will include connecting enterprise architecture, data science, security, and business units, designing frameworks, enabling scaled adoption, and presenting to various audiences. You will democratize AI/ML for technical users by providing developers with tools, frameworks, guidance, and training to develop AI/ML solutions independently. ...

Responsibilities Develop and maintain CI/CD pipelines for machine learning models. Automate model deployment, monitoring, and scaling processes. Implement and manage version control for code, data, and models. Ensure data quality, security, and compliance throughout the ML lifecycle. Collaborate with data scientists, engineers, and other stakeholders. Optimize infrastructure for ML workloads. Troubleshoot and resolve issues in production ML systems. Implement logging, monitoring, and alerting for ML pipelines. Manage and optimize cloud resources for ML/AI workloads. Facilitate knowledge sharing and best practices across teams. Mentors peer developers on ML Ops and Dev Ops Technical Competenc...

We are looking for a proactive and detail-oriented AI OPS Engineer to support the deployment, monitoring, and maintenance of AI/ML models in production. This role will focus on MLOps practices including model versioning, CI/CD, observability, and performance optimization in cloud and hybrid environments. Role & responsibilities Build and manage CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker. Monitor model performance and health using observability tools and dashboards. Ensure automated retraining, version control, rollback strategies, and audit logging for production models. Support deployment of LLMs, RAG pipelines, and agentic AI systems in scalable, cont...

In the role of a Model Developer at Tiger Analytics, your main focus will be on designing, developing, and implementing various Analytics and Data Science use cases in the Banking & Financial Services Analytics area. You will be working with various clients to create predictive models, validate them, and ensure alignment with the domain context. Additionally, you may have managerial responsibilities to set tasks, perform quality checks, and supervise and mentor analysts. Your role will also involve monitoring and validating model risks and leading a team of Model validators. You will play a crucial part in developing challenger models, ensuring compliance with the model risk monitoring frame...

Role Overview: As a Data Scientist at Amgen, you will be responsible for developing, designing, and deploying AI-enabled forecasting models. Your role will involve applying deep technical expertise to scale forecasting models across R&D, Manufacturing, and Commercial departments to meet critical needs. You will manipulate large datasets, write high-quality code, adapt machine learning models, and move models from development to production. Additionally, you will be expected to distill technical work into understandable outputs for key stakeholders. Key Responsibilities: - Be an integral part of a high-performing team focusing on translating machine learning algorithms into effective forecast...

You have a great opportunity to join a dynamic team in Delhi NCR with 5 to 8 years of experience in the field. As a candidate, you should possess the following required skills: - Proficiency with LangChain, LangGraph, Pydantic, Crew.ai, and MCP. - Strong understanding of LLM architecture, behavior, and evaluation methods. - Hands-on expertise in MLOps, DevOps, and deploying AI/ML workloads at scale. - Experience leading AI projects from prototyping to production. - Strong foundation in prompt engineering, observability, and agent orchestration. In this role, you will be responsible for spearheading the development of advanced agentic workflows and large language model (LLM) systems.,