499 Aws Sagemaker Jobs - Page 7

We are seeking a highly skilled Staff Machine Learning Engineer with a strong background in Machine Learning and Software Engineering to join our team. In this role, you will collaborate closely with product managers, applied scientists, and engineers to design, implement, and scale ML-powered systems that extract and reason over information from complex, unstructured data sourcessuch as documents, web screens, and automation workflows. Your work will play a key role in enabling intelligent, context-aware assistants and task automation agents that understand user intent and deliver meaningful outcomes. Key Responsibilities Build intelligent agentic systems that combine document understanding...

Role: AIML Data Scientist Location - Chennai Mode of Interview - In Person Date - Scheduled Interview Job Description: Be a hands-on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and ...

Role: AIML Data Scientist Location - Coimbatore Mode of Interview - In Person Date - Scheduled Interview Job Description: Be a hands-on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools a...

Role: AIML Data Scientist Location - Bangalore Mode of Interview - In Person Date - Scheduled Interview Job Description: Be a hands-on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools an...

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking 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 MLO...

Role: AIML Data Scientist Location - Hyderabad Mode of Interview - In Person Date - Scheduled Interview Job Description: Be a hands-on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools an...

Role : MLOps Engineer Location - Bangalore Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking 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 MLOp...

Role : MLOps Engineer Location - Chennai Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking 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 ...

Role : MLOps Engineer Location - Hyderabad Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking 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 MLOp...

Tezo is a new generation Digital & AI solutions provider focused on delivering exceptional experiences using cutting-edge analytics, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head specializing in Data Science & AI to lead our data practice in Hyderabad. This role is perfect for a technology leader with a solid foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), combined with expertise in building and scaling data practices. The ideal candidate will possess strong business acumen, with experience in solution selling and pre-sales. As the Practice Head - Data Science & AI, your key responsibilitie...

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore About The Role : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership an...

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model train...

Role & responsibilities - Lead the architecture, design, and implementation of robust, scalable, and high-performing ML and AI platforms. Deep expertise in designing and deploying ML/AI platforms, specifically using AWS SageMaker and MLOps.. Hands-on implementation of parallel computing and distributed training methodologies to enhance the efficiency and scalability of machine learning models. Collaborate closely with data scientists and engineers to deploy complex ML and deep learning models into mission-critical production systems. Ensure best practices in CI/CD, containerization, orchestration, and infrastructure-as-code are consistently applied across platforms. Foster a culture of innov...

Your Career As a Senior Staff AI Engineer for Enterprise AI Solutions, you will be part of a team responsible for hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). This role demands deep technical expertise, a strong ability to solve complex problems, and leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI appl...

6-8 years of over all experience with 3+ years in ML Ops engineering. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensiveexperience with ML Ops frameworks like DataIku (MUST Have),Kubeflow , MLflow , TensorFlow Extended (TFX) , . Strong experience in deploying and managing machine learning models on AWS environments Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Service...

Key Responsibilities AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP). Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation...

Key Responsibilities AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP). Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

We are searching for an experienced and innovative Artificial Intelligence (AI) Tech Lead to join our dynamic team. What You Do As an AI Tech Lead, you will help design, build, and optimize AI-first systems and solutions that advance our digital capabilities and create real value for our clients. Provide technical leadership and mentorship to a multidisciplinary AI team. Collaborate with stakeholders to identify business opportunities and AI use cases. Translate abstract business problems into concrete, innovative AI solutions. Drive code quality, robust architecture, and documentation within technical teams. Facilitate knowledge sharing, peer reviews, and upskilling within the AI team. You ...

Role We are looking for full-time AI R&D Engineers with expertise in Deep Learning (DL) or Machine Learning (ML), or entry-level graduates with strong project experience, to join our team. In this role, you will be integral to designing, innovating, and building cutting-edge AI products in the areas of Image and Video Analytics. You will collaborate with the product development team and the Chief Engineer throughout the Product Development Life Cycle. This hands-on role requires attention to detail, independent work capability, and strong problem-solving skills. Additionally, you will work with a small team of engineers to deliver AI-driven solutions to customers. Responsibilities Design, de...

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along wit...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

We are looking for: Lead Software Engineer Python , Youll make an impact by: Lead the design and development of Python-based software components for AI-driven systems. Define and uphold coding standards, best practices, and architectural principles (OOP, SOLID, design patterns). Collaborate with AI/ML engineers to integrate and productionize Machine Learning, Deep Learning, and Generative AI models. Architect and develop scalable RESTful APIs and backend systems using FastAPI or equivalent frameworks. Advocate for performance optimization, testability, and non-functional requirements (NFRs) across all solutions. Champion CI/CD practices, observability (logging, metrics, tracing), and maintai...

We are looking for: Graduate Trainee Engineer Youll make an impact by: Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.). Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications. Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases. Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems. Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases. Continuously monitor and improve model performance, ...

We are looking for a highly skilled Machine Learning Engineer with strong expertise in SQL, Python, data modeling, and machine learning, along with hands-on experience working with Snowflake and AWS services like SageMaker. The ideal candidate will also be proficient in data visualization tools and familiar with big data frameworks. Key Responsibilities: Design, build, and deploy scalable machine learning models using Python and SQL. Work extensively with Snowflakes advanced features for data storage, processing, and ML integrations. Utilize AWS tools, especially SageMaker, for model training, deployment, and monitoring. Develop robust data pipelines and workflows, ensuring accuracy and effi...