1532 Mlops Jobs - Page 15

As a Technical Architect at our company, you will be responsible for leading the design and development of scalable, enterprise-grade applications and AI/ML solutions. Your expertise in system architecture and hands-on experience with Python or C# .Net will be valuable in guiding and mentoring technical teams. Your role will involve client interaction, active participation in technical discussions, and solution design for modern, AI-driven applications such as Retrieval-Augmented Generation (RAG) systems. - Lead the architectural design and development of enterprise-level applications and AI/ML solutions. - Collaborate with business and technical stakeholders to translate requirements into s...

As a DataRobot Consultant & Deployment Lead at NTT DATA, you will play a crucial role in architecting and overseeing the deployment of DataRobot on Azure, ensuring scalable and high-performing AI solutions across the enterprise. Your responsibilities will include: - Architecting and overseeing the end-to-end deployment of DataRobot on Azure, utilizing containerized environments with AKS. - Leading the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, with a plan for upgrade to v11. - Collaborating with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks. - Servi...

As a Senior Manager - AI/LLM Ops at a leading global management consulting firm based in Gurugram, you will be responsible for joining the Gen AI platform team and focusing on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development. Your role will involve utilizing your expertise in platform engineering, cloud infrastructure, LLM Observability, and DevOps/MLOps/LLMOps to create scalable, reliable, and efficient systems. **Key Responsibilities:** - Build and support scalable, reliable Gen AI or LLM powered applications in production. - Develop and enable self-serve observability tools and dashboards for engineering tea...

Role Overview: Join the growing AI team at NewCold as an AI Associate (ML) and contribute to building real-world machine learning solutions that have a direct impact on business performance. This role offers an exciting opportunity to collaborate with experienced professionals, apply your skills to live data problems, and advance your career in a fast-paced and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for applications in supply chain, logistics, finance, and operations. - Build ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Work on the full ML lifecycle including data preparation, feature ...

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission-critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases. Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive. As an Associate Data Scientist at Data Axle, you will be joinin...

Job Description: As a MLOps +GCP Engineer, you will be responsible for building and managing the end-to-end Machine Learning (ML) and IT operations (AIOps) infrastructure on Google Cloud Platform (GCP). Your role will involve bridging the gap between data science and operations, automating the ML lifecycle, and implementing AI-driven solutions to optimize IT and business processes. Key Responsibilities: - Demonstrating strong hands-on experience in MLOps and AIOps using Google stack - Possessing good knowledge of DevOps and CI/CD - Experience in modeling and deploying machine learning models - Good familiarity with working with Git - Working knowledge of Google Agentic Framework - Experience...

As an AI/ML Software Development Lead, your role involves leading the development and integration of AI/ML models into web applications. You will architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn, etc. Your responsibilities also include overseeing the deployment of AI models using cloud services such as AWS, Azure, Google Cloud. Collaborating with cross-functional teams to define AI strategies and implementation is crucial. You will guide the development of scalable web applications using Angular, C#, NestJS, etc. Ensuring efficient data processing and model deployment in production environments is also part of your role. It is essential t...

As a Data Architect with over 12 years of experience, your role will involve leading the design and implementation of modern data platforms that support AI/ML, Analytics, NLP, and GenAI workloads. Your technical expertise, architectural vision, and leadership skills will be crucial for the success of the projects. **Key Responsibilities:** - Lead the design and implementation of scalable, secure, and high-performance data architectures for AI/ML, analytics, and real-time data processing. - Architect data platforms for ML experimentation, training, and deployment, covering classical ML, deep learning, NLP, and GenAI. - Develop data lakes, feature stores, and analytical data marts. - Define an...

Role Overview: As an experienced Engineering Manager/Director, you will be responsible for leading and scaling the engineering organization. Your expertise in SaaS architectures, AI/ML integration, and agile practices, along with strong people leadership and business alignment skills, will be crucial in guiding teams to deliver high-quality, AI-enabled software at speed. You will foster a culture of ownership, experimentation, and continuous improvement within the engineering teams. Key Responsibilities: - Drive cloud-native SaaS architecture and distributed systems design. - Champion CI/CD pipelines for safe, automated, and rapid delivery. - Guide teams on AI/ML workflows: data pipelines, m...

As an AI Engineer at our company, you will play a critical role in developing platforms and solutions that transform how work is done in the Service and Operations Management space. You will collaborate with other members of the R&D organization to deliver AI software, including data engineering, prompt engineering, algorithms, and APIs. Your performance will be measured based on your ability to produce production-ready code, create rapid prototyping opportunities, and maintain high code quality through code reviews. Additionally, you will work closely with DevOps and MLOps teams to ensure a modern, well-architected, and well-instrumented deployment and testing pipeline. **Responsibilities:*...

As an Artificial Intelligence (AI) Developer / Engineer at Dimakh Consultants in Pune, you will have the opportunity to work on innovative projects and gain hands-on experience supporting digital marketing and AI-driven solutions. With 2-5 years of experience, you will play a crucial role in designing, developing, and deploying intelligent applications using cutting-edge technologies like OpenAI, Hugging Face, LangChain, vector databases, and cloud AI tools. **Roles and Responsibilities:** - Develop and deploy generative AI applications using LLMs (GPT, Claude, LLaMA, etc.). - Work with APIs from OpenAI, Hugging Face, Cohere, and other AI model providers. - Build and integrate tools like Lan...

As an experienced AI Architect with more than 10 years of expertise in Artificial Intelligence, Machine Learning, and Data Science, you will play a pivotal role in defining and leading our AI strategy. Your primary responsibility will be to design and optimize AI/ML solutions from data ingestion to production. Additionally, you will build advanced ML, deep learning, and generative AI models, work with large datasets, pipelines, and automation, and deploy and maintain AI systems in production while ensuring scalability, reliability, and monitoring. Implementing MLOps practices such as CI/CD for ML, containerization, and orchestration will also be part of your key responsibilities. Apply your ...

As a Generative AI professional, you will have the opportunity to work on cutting-edge technologies and push the boundaries of Generative AI. Whether you are a visionary Lead or a hands-on Developer, this role offers you the platform to thrive and innovate in the field. **Key Responsibilities:** - Take charge of architecting, fine-tuning, and deploying advanced LLM and GenAI models - Lead cross-functional teams and design scalable AI pipelines - Utilize tools like OpenAI, Langchain, Azure AI, HuggingFace, and more - Build and optimize GenAI applications using Python, OpenAI APIs, vector DBs, and state-of-the-art tools - Collaborate on prompt engineering, model integration, and real-time depl...

Role Overview: As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career tailored to your skills and interests. You will be part of a global team that provides support, fosters an inclusive culture, and leverages cutting-edge technology to help you reach your full potential. Your individual voice and perspective are valued contributions that will help EY enhance its services and make a positive impact on the working world. Key Responsibilities: - Develop and implement AI-enabled automation solutions that align with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) in various industry verticals to showc...

As a Senior Data Science / AI Solutioning & Delivery Lead with 12+ years of experience, your role will be crucial in shaping AI solution strategy, architecting scalable models, leading high-performing teams, and ensuring successful delivery of business-impacting outcomes for global clients. **Key Responsibilities:** - Engage with stakeholders to identify AI/ML opportunities and translate business challenges into well-defined problem statements. - Drive solution architecture, including data pipelines, model design, deployment, and MLOps. - Evaluate emerging technologies for enterprise applicability. - Lead delivery of AI/ML projects across domains, ensuring quality, timeliness, and measurable...

Role : Artificial Intelligence - Centre of Excellence Lead (AI COE Lead) Location : Chennai Role Summary: The AI Lead will champion the enterprise-wide adoption and strategic deployment of Artificial Intelligence, with a strong emphasis on Generative AI and scalable LLMOps . This is a critical leadership role responsible for translating complex business challenges into high-impact, production-ready AI/ML solutions. You will be instrumental in building a robust AI innovation pipeline, leading a high-performing technical team, and defining the architecture required for secure, ethical, and performant AI systems that drive significant business transformation and efficiency. Responsibilities & D...

We’re hiring an AI/ML Engineer (4+ yrs) in Gandhinagar to build LLM, NLP & Computer Vision solutions. Work on document AI, RAG chat systems & Agentic AI for FinTech. Must have strong Python, PyTorch & Vector DB experience.

Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud services (AWS/GCP/Azure). * Automate model deployment workflows, ensuring reproducibility and version control. * Implement monitoring, alerting, and observability for ML systems (latency, throughput, data drift, failures). * Integrate with model orchestration pipelines (Airflow, Prefect) to support retraining and inference workflows. * Manage model registry, versioning, and rollout strategies (blue/green, canary deployments). * Ensure security, compliance, and cost optimization for ML infra. * Manage ve...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As a highly skilled and visionary Solution Architect specializing in Artificial Intelligence (AI) and Automation, your role will involve leading the design and implementation of cutting-edge solutions in AI, Generative AI, and Automation. You will need to leverage your technical expertise, strategic thinking, and leadership abilities to drive innovation and deliver scalable, high-impact solutions across the organization. Key Responsibilities: - Design end-to-end AI and automation solutions that are aligned with business goals and technical requirements. - Participate in discussions on business requirements and develop solutions and technical architecture that address all aspects of the busin...

As a ML Engineering Manager at iMerit, you will play a crucial role in leading and mentoring a team of machine learning and computer vision engineers. Your responsibilities will include fostering a collaborative environment that encourages innovation and continuous improvement. You will oversee the design, development, and deployment of machine learning models, ensuring adherence to best software/ML development practices, coding standards, and quality assurance processes. Additionally, you will be responsible for the productionization of scalable ML solutions and evaluating/selecting appropriate tools, frameworks, and technologies. Your role will also involve participating in architecture, d...

As a Specialist, Data Analysis at Fiserv, your primary responsibility will be to lead ML & MLOps implementation for fraud detection. You will collaborate with Data Scientists to design and deploy ML models and MLOps pipeline while adhering to security standards and industry best practices. Your role will involve hands-on development in Python, Unix scripting, and integration with tools like AWS and Snowflake. **Key Responsibilities:** - End to end Implementation ML for Fraud detection - Implementation of MLOps framework and governance - Collaborate with Data scientists to implement ML model for Fraud detection, Underwriting, etc. - Dimensionality reduction, data cleaning, and suggesting appr...

As a Machine Learning Engineer, you will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. Your key responsibilities will include: - Designing and implementing machine learning models and pipelines using AWS SageMaker and related services. - Developing and maintaining robust data pipelines for training and inference workflows. - Collaborating with data scientists, engineers, and product teams to translate business requirements into ML solutions. - Implementing MLOps best practices including CI/CD for ML, model versioning, monitoring, and retraining strategies. - Optimizing model performance and ensuring scalability and r...

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. As an MLOps Engineer, you will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Buildin...

In this role as the VP of AI and Engineering at Syneos Health, you will be responsible for leading the AI, software, data, and quality engineering organization. Your key role will be to deliver best-in-class AI, data, and applications used by thousands of users worldwide. You will partner with digital and technology product teams to create solutions that accelerate medicines and vaccines development and enable patient access. Your focus will be on driving and delivering AI-infused applications at scale to support Syneos Health's efficient growth. Additionally, you will oversee the development of technology products that enhance internal capabilities across corporate functions. Your leadershi...