1524 Mlops Jobs - Page 10

As a Senior Software Engineer-AI at Techvantage.ai, your role will involve contributing to the development of intelligent, scalable, and production-grade AI systems. You will be working on Generative AI and Agentic AI technologies. This position is ideal for someone who enjoys a fast-paced, product-driven startup environment and is passionate about making a real impact through innovation. - Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs. - Design and implement Agentic AI systems - autonomous agents capable of planning and executing multi-step tasks. - Collaborate with cross-functional teams including product, design, and engine...

In this role at EY, you will have the opportunity to contribute to the Supply Chain Technology group of the GDS consulting Team as a Staff Level Consultant with expertise in Generative AI. Your responsibilities will involve designing, developing, and fine-tuning Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Additionally, you will implement solutions for data pre-processing, tokenization, and dataset augmentation, and deploy Generative AI models on cloud platforms or edge devices to ensure scalability and robustness. You will work on MLOps pipelines, conduct performance benchmarking, hyperparameter tuning, and stay updated on the latest trends in ...

As an ideal candidate for the role, you will align innovation efforts with business and IT strategies, focusing on compliance and value creation. Your responsibilities will include: - Overseeing end-to-end delivery of analytics services - Managing resource planning effectively - Fostering continuous improvement within the team Your expertise in MLOps, AWS, Databricks, and Snowflake, along with a strong foundation in agile delivery and CRISP analytical life cycle management, is essential. You will be responsible for the following key tasks: - Developing an Analytical Workbench capability to create advanced analytics product/services roadmaps - Incubating and adopting emerging technologies suc...

As a Lead Software Engineer in AIS Software Engineering, you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire software engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated software engineering solutions and infrastructure at a production scale suitable for the world's largest companies. You will also mentor junior engineers to follow best practices during all phases of development. This role also requires collaborating with remote and distributed teams, including both technical and consulting teams, across the globe to deliver seaml...

As an MLOps professional, your role involves focusing on efficiency, scalability, and risk reduction in the development and deployment of machine learning models. You will play a crucial part in achieving faster model development, delivering high-quality ML models, and ensuring speedy deployment and production. Additionally, you will be responsible for overseeing, controlling, managing, and monitoring thousands of models for continuous integration, delivery, and deployment, thus ensuring vast scalability and efficient management. Key Responsibilities: - Ensure reproducibility of ML pipelines for seamless collaboration across data teams - Reduce conflict with devops and IT by facilitating tig...

You are a highly skilled AI/ML Architect with a strong foundation in Data Engineering and the proven ability to apply Design Thinking in solving complex business challenges. You will play a key role in shaping end-to-end AI/ML solutions from data architecture to model deployment, ensuring the design remains user-centric, scalable, and aligned with business objectives. Key Responsibilities: - Lead the architecture and design of AI/ML solutions across multiple business domains. - Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. - Leverage design thinking methodologies to drive innovative and user-centric solution design. -...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Overview In this role, we are seeking a Senior Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires strong expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to drive operational excellence. Manage and execute DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Develop and enforc...

MLops JD Responsible for design and implementation of secure and scalable infrastructure in Azure cloud. Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation. Requirements: Strong understanding of concepts related to Machine Learning, Architecture, and MLOps prac...

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Es...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Position : AI Practice Lead (Team Lead) - Only Immediate Joiner Experience : 4-7 Years Experience Salary : Negotiable Location : Bangalore (HAL) Job Type : Work from Office (On Role) Shift : 9.30 am to 6.30 pm (Saturday and Sunday off) Role Overview: We are looking for an experienced AI/ML Engineer to design and implement cutting-edge solutions using Large Language Models (LLMs), Deep Learning, and Retrieval-Augmented Generation (RAG). You will build intelligent chatbots, optimize ML pipelines, and lead a team of engineers to deliver impactful AI-driven products. Key Responsibilities: Build and deploy chatbots and conversational AI solutions using LLMs & RAG Design, train, and optimize machi...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Responsibilities: * Develop generative AI models using LLM, Hugging Face & Prompt Eng. * Optimize ML pipelines with MLOps & Agentic AI principles. * Design NLP solutions on Python, Transformer Models & LangChains.

Presales Engineer Experience: 2-6 years Location: Pune Company: iauro Systems Pvt. Ltd. About the Role We are looking for a PreSales Engineer with strong technical expertise and business acumen to support our sales and solutioning initiatives. The role involves understanding client requirements, designing tailored solutions, and preparing compelling proposals that drive business growth. Key Responsibilities Gather and analyze customer requirements to propose effective t echnology and business solutions . Prepare SOWs , cost estimates , and detailed technical proposals . Create and deliver sales presentations, sales collaterals. respond to RFPs, RFIs, RFQs . Collaborate with the sales and eng...

As a Senior Consultant in the Digital Transformation team at Dell Technologies, you play a crucial role in providing technical and consultative guidance for complex solutions opportunities. Your responsibilities include delivering technical architectural design, strategies, and solutions for engagements, offering consultative business and technical delivery services for customer-facing consulting projects, and working on projects that deploy, administer, and configure digital transformation software stacks. Collaboration with team members is essential to earn customer trust through technical expertise and partnership. - Assist customers in architecting and building new Cloud-Native Apps - Dr...

As a Co-Founder & Chief Technology Officer (CTO) at Neuromancer Technologies Private Limited, you will play a crucial role in spearheading the development of cutting-edge, AI-powered platforms for impactful industries like Healthcare, Energy, Finance, and Education. Your responsibilities will encompass defining the long-term technology vision, leading product development, nurturing a high-performing tech team, overseeing AI/ML strategy, ensuring platform scalability, aiding in fundraising endeavors, and fostering cross-functional collaboration. Key Responsibilities: - Define the company's long-term technology vision and strategy in alignment with its mission. - Drive end-to-end product archi...

Role Overview: As the Senior Engineering Head at the company, you will lead the end-to-end development of Generative AI products. Your main responsibilities will include ensuring scalability, performance, and innovation while fostering a high-performing engineering culture. Your expertise in AI/ML, distributed systems, cloud architectures, and modern software engineering practices, along with hands-on coding experience, will be crucial for success in this role. Key Responsibilities: - Define and execute the technology roadmap for Generative AI products in alignment with business goals. - Lead the development of AI-powered products, optimizing models for performance, scalability, and real-wor...

Role Overview: As a Senior Engineer at American Express, you will have the opportunity to work on cutting-edge technology projects within the Enterprise Essentials team of Financial Data Engineering. Your main responsibilities will revolve around full-stack development, generative AI, machine learning, data engineering, and leadership. You will play a crucial role in designing, developing, and maintaining innovative solutions that leverage AI technologies to enhance the Global Tax, Finance, and GSM Conversational AI platforms. Key Responsibilities: - Design and develop scalable and secure applications using Java/Python framework and React for front-end technologies. - Implement microservices...

As a Principal Software Engineer at UKG, you will play a crucial role in designing, developing, and deploying advanced AI and generative AI-based products. You will have the opportunity to lead technical innovation, collaborate with cross-functional teams, and contribute to the development of impactful, high-scale SaaS products that serve enterprises globally. - Design, develop, and optimize high-quality code for complex software applications and systems, ensuring high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage. - Lead end-to-end development of generative AI solutions, from data collection and model train...

You will be joining Tower Research Capital, a leading quantitative trading firm with a 25+ year track record of innovation. As part of the team, you will have the opportunity to work on a high-performance platform and collaborate with some of the world's best systematic trading and engineering talent. - Develop data pipelines for cleaning, collecting, processing, and analyzing diverse datasets. - Design and implement machine learning and LLM-based NLP models. - Conduct experiments and tests to evaluate model performance. - Contribute to optimizing and fine-tuning existing machine learning models. - A bachelor's, master's, or PhD (ongoing or complete) degree or equivalent from a top universit...

As a Machine Learning Engineer at PrashTech Solutions, you will play a crucial role in optimizing machine learning systems to enhance the accuracy of AI software's predictive automation capabilities. Your responsibilities will include consulting with managers to define machine learning objectives, designing machine learning systems and AI software for predictive automation, and applying appropriate ML algorithms and tools to transform data science prototypes. You will ensure accurate user recommendations, auto-tag images, convert text-to-speech, develop and deploy machine learning models for various applications, and build AI-driven chatbots using frameworks like Rasa, Dialogflow, or GPT-bas...

Role Overview: As an experienced Data Scientist with expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), your role will involve developing, fine-tuning, and deploying LLMs for various applications. You will also be responsible for implementing RAG-based systems to enhance AI-powered search and retrieval, working with vector databases and embeddings to improve AI responses, and optimizing and deploying AI models using GPU acceleration and cloud services. Additionally, you will preprocess and analyze large-scale structured and unstructured data, collaborate with engineers and domain experts to integrate AI solutions into products, and stay update...

Role Overview: As a Generative AI & Automation Expert at Drishti IAS, your role involves leading the development and enhancement of AI-driven educational tools and automation infrastructure. You will be responsible for designing and maintaining scalable AI infrastructure, implementing generative AI features for educational applications, deploying automation tools for workflow optimization, providing technical leadership, and ensuring knowledge transfer within the team. Key Responsibilities: - Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. - Deploy and fine-tune local large language models (LLMs) for high performance and cost effi...