846 Aws Sagemaker Jobs - Page 2

Organization: At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title : Senior Associate Data Scientist Location: Bangalore Business & Team: At CBA, our Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line...

Organization: At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist, AI & General Model Validation Location: Bangalore Business & Team: Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-lin...

Organization: At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist, AI & General Model Validation Location: Bangalore Business & Team: Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-lin...

As a Senior Data Scientist / Machine Learning Engineer, your role will involve designing, building, and deploying advanced machine learning and generative AI solutions to drive business value. This position requires a blend of deep technical expertise in data science, software engineering, and MLOps, along with strategic thinking. **Key Responsibilities:** - Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. - Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, evaluation, and production deployment. - Lead Generative AI initiatives, leveraging LLMs,...

Job Position Title: Manager_AI/ML Architect Location : Pan India Years of experience: 8 to 12 years Responsibilities: -Build robust frameworks to support AI/ML workloads across structured and unstructured data sources. -Implement and fine-tune Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, or Falcon for enterprise and domain-specific applications. -Build and integrate Generative AI solutions for text, image, or multimodal content generation using frameworks such as LangChain, LlamaIndex, or OpenAI API. -Design schemas and storage strategies that enhance performance and usability for ML applications with agentic workflows capable of reasoning, planning, and executin...

Job Position Title: AI/ML Engineer Location : Pan India Years of experience : 4 to 8 years Responsibilities: -Design, develop, and deploy AI/ML models for real-world business use cases across structured and unstructured data domains. -Implement and fine-tune Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, or Falcon for enterprise and domain-specific applications. -Build and integrate Generative AI solutions for text, image, or multimodal content generation using frameworks such as LangChain, LlamaIndex, or OpenAI API. -Develop AI agents and agentic workflows capable of reasoning, planning, and executing multi-step tasks using tool use, retrieval-augmented generation...

**Immediate Joiners only** Exp - 8 - 10 Years Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position: AI Engineer LLM & RAG Specialization Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment . Proven expertise in RAG architectures , vector databases , and embedding models . Strong proficiency in Python ; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks ( PyTorch , TensorFlow , etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker,AWS Q Business, AWS Bedrock or Azu...

Director Artificial Intelligence Work Location: Hyderabad or Chennai (open to Mumbai, Pune) Work Arrangement: Requires a minimum of 9 working days per month from the Chennai office, with the remaining days flexible to be worked from any of the other listed locations. About The Role We are seeking a technically accomplished leader to serve as Director Artificial Intelligence within Acentra Health's AI Center of Excellence (COE). This role will provide strategic input into enterprise AI initiatives, working as a core member of the COE while partnering with business lines across the organization. The Director will bring deep expertise across machine learning, generative AI, and agentic AI, with...

Job Summary: The ML Engineer will be responsible for designing, developing, and deploying machine learning models and AI solutions. This role involves collaborating with data scientists, software engineers, and business stakeholders to deliver production-ready ML systems that meet business requirements and improve operational efficiency. Key Responsibilities: Design, develop, and implement machine learning models for various business applications. Preprocess, clean, and analyze large datasets from multiple sources. Collaborate with data scientists to understand modeling requirements and translate them into production-ready solutions. Deploy, monitor, and maintain ML models in production envi...

JOB PURPOSE: Cat Digital Data Analytics & engineering team is looking for a talented and motivated Senior Data Scientist to help improve platform data quality by defining and implementing quality metrics, performing root cause analysis of data quality problems, and developing algorithms as well as ML/AI models to address the most challenging data quality issues. In this role, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT-connected assets and our integrated network of dealers. You will also use analytics and visualization methods to solve problems for Caterpillars internal customers. Top candidates will have prior experience in dev...

Hiring Machine Learning Engineers (3–6 yrs) – AWS SageMaker, Bedrock, RAG, LLMs, Python, MLOps

Role Overview We are seeking an experienced Senior AI Engineer / Architect to lead the design, development, and deployment of cutting-edge machine learning (ML), deep learning (DL), and generative AI solutions. This role involves full ownership of AI initiativesfrom data strategies and model prototyping to production rollout and lifecycle management. You will collaborate with cross-functional teams to ensure technical solutions align with strategic business objectives. Key Responsibilities AI Architecture & Development Architect and implement scalable ML/DL pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Design, prototype and productionize generative ...

Responsibilities: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases(e.g., Pinecone, Weaviate, FAISS), and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Hands on Design, implement, and optimize LLM-powered applications. Hands of Develop and maintain RAG pipelines Artificial Intelligence, Data Science, Natural Language Processing, Python

Prior 2+years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS(SageMaker,EKS,Lambda) or GCP(VertexAI,GKE,CloudFunctions) . Build and maintain CI/CDpipelines for ML workflows using GitHubActions/Jenkins/cloud-nativetools . Containerize and orchestrate workloads with Docker&Kubernetes manage infra via Terraform/CloudFormation . Implement modelregistries,featurestores,andobservability using MLflow,Feast,Prometheus/Grafana . Collaborate with data scientists to operationalize ML models for personalization,recommendations,NLP . Proficient in Python ,MLframeworks( Scikit-learn,TensorFlow,PyTorch )anddatapipelines( Airflow,Spark,SQL ). Bo...

Commonwealth Bank of Australia is the largest and number one bank in Australia, serving over 17 million customers. We maintain a high-trust brand reputation built on financial strength, innovation, and community impact. As of July 2025, CBA holds market cap of approximately USD 195.7 billion, ranking us among the top 100 most valuable companies globally. Our leadership in digital banking, customer safety, and responsible AI reflects our commitment to building a brighter future for all. Our values are reflected in our high-trust brand reputation. CBA is consistently ranked among Australia's most valuable and trusted brands. Our Code of Conduct Our Code of Conduct includes our Values, with Mus...

We are seeking an experienced MLOps Engineer to join our team and help design, implement, and maintain scalable machine learning infrastructure. In this role, you will bridge the gap between data scientists and production environments, ensuring seamless integration, robust pipelines, and reliable operations of machine learning models in production. Typical work week look like:-. Model Deployment:Build and maintain scalable pipelines for deploying machine learning models to production environments. Automation:Automate machine learning workflows, including model training, testing, monitoring, and retraining. Infrastructure Management:Design, build, and maintain cloud and/or on-premises infrast...

Job Description Senior Security Architect - AI, cybersecurity control - focus on AI/ML systems. R25_0023614|IN Reporting to the AI Security Advisor, the AI Security Architect will serve as the representative of cyber security for designing and implementing security controls on AI/ML systems across the enterprise. This role blends deep cybersecurity expertise with a strong understanding of AI development lifecycles, to ensure the AI/ML systems are secure compliant, and resilient. The architect will work cross-functionally with engineering, data science, legal, and governance teams to embed security into every phase of AI solution development and deployment. Key Responsibilities Define and evo...

Role: AI Engineer with expertise in data governance, automated data policy management, data quality, data tagging cloud implementation, and optimization of Large Language Models (LLMs). This role focuses on designing secure, scalable cloud solutions, implementing robust data governance frameworks, and leveraging LLMs to enhance the management and processing of unstructured data. Experience: 5+ years of experience in AI/ML, data governance, and cloud implementation. Proven expertise in managing unstructured data and implementing automated data tagging methodologies. Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Databricks, AWS Sage Maker,...

Role -ML OPS Here is a Job opportunity for you in IRIS- At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation....

We are seeking a highly skilled AI/ML Engineer specializing in Generative AI (GenAI) to design, build, and deploy intelligent systems powered by advanced machine learning and deep learning models. The ideal candidate will have experience in large language models (LLMs) , transformers , and multimodal AI , and be passionate about applying cutting-edge research to solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to develop scalable AI solutions using frameworks such as PyTorch , TensorFlow , and Hugging Face Transformers . Key responsibilities: Design, develop, and deploy AI/ML models for natural language processing (NLP), co...

Strong Python and ML development background Working knowledge of ML frameworks such as scikit-learn 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments) Hands-on experience in Docker and Kubernetes Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc) Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools Soft skills Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills Nice to have AWS CDK / Cloud formation stack Mand...

Strong Python and ML development background Working knowledge of ML frameworks such as scikit-learn 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments) Hands-on experience in Docker and Kubernetes Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc) Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools Soft skills Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills Nice to have AWS CDK / Cloud formation stack Mand...

Strong Python and ML development background Working knowledge of ML frameworks such as scikit-learn 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments) Hands-on experience in Docker and Kubernetes Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc) Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools Soft skills Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills Nice to have AWS CDK / Cloud formation stack Mand...

We are seeking an experienced and Senior DevOps Engineer to lead the deployment of Docker container-based applications and API-driven microservices built in Python , running on Kubernetes within our Ascend Platform . This role will be instrumental in driving innovation, streamlining deployment workflows, and enhancing team efficiency through established CI/CD pipelines and industry best practices. Key Responsibilities: DevOps Leadership : Architect and manage scalable, secure, and resilient infrastructure for containerized applications and microservices. CI/CD Ownership : Maintain and evolve CI/CD pipelines to ensure rapid and reliable delivery of software. Platform Expertise : Oversee deplo...

About the Role: We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML models that solve real-world business problems. The ideal candidate will work closely with data scientists, software engineers, and product teams to turn experimental ML prototypes into production-grade solutions that enhance decision-making, automation, and user experiences. Key Responsibilities: Model Development & Implementation Design, implement, and maintain machine learning models (supervised, unsupervised, reinforcement learning, or deep learning). Collaborate with data scientists to translate prototypes into production-ready ML solutions . Develop and optimize algorithms for pr...