831 Aws Sagemaker Jobs

Job Descripation MLOps & Cloud MLOps Pipeline Design, CI/CD for ML, Model Monitoring, Feature Stores, AWS (SageMaker, Lambda, S3, Athena, RDS), Azure (Functions, Virtual Machines, Managed SQL Server, EventHub, AKS), Docker,Terraform, Drift Detection Machine Learning & AI Large Language Models,Agentic AI & Generative AI LangChain, LangGraph, CrewAI, Google Agentic Framework, Multi-Agent Systems, Workflow Orchestration, Vector Databases (Chroma, Pinecone), RAG (Retrieval Augmented Generation), GPT-4, Fine-tuning LLMs, Prompt Engineering, Autonomous Agent Design Programming & Tools Python, SQL, FastAPI, PyTorch, TensorFlow, Git, Elasticsearch, Redis, DynamoDB, Snowflake, Multiprocessing, MLflow...

To continue modernizing our fax infrastructure, we must transition the Production B workflow environment supporting 294 groups and thousands of end-user accounts-each with unique workflows. This transition involves migrating business processes from one platform to another, requiring close collaboration with business users to ensure their workflows are adapted without adding extra steps or time. The ideal candidate will not only support this transition but also identify opportunities to streamline operations using AI. This includes replacing manual steps and reducing the need for users to review fax images before proceeding. Their insights will be critical in shaping the next phase of our fax...

Description Responsibilities Accountable for the end-to-end build and engineering of the production ML / AI application taking a prototype model from the data scientists and developing a production-ready application using appropriate tools and technologies to deploy using AWS cloud. Accountable for the successful development resilience and reliability of the analytical model scoring application pipelines. Follow the established patterns to make the ML / AI models ready for deploy to pre-prod and prod environments with MLOps engineers. Study and transform data science prototypes understanding the requirements and designing the application. Understand the container environments for where these...

Job Posng Title Assoc. Dir. DDIT IES Cloud Engineering Job Descripon Summary Responsible for designing and developing a cu¢ng-edge AI and Genera¢ve AI infrastructure on AWS Cloud pla¢orm and COLO, tailored for pharmaceu¢cal business use-cases. The pla¢orm will facilitate Biomedical research scien¢sts and other business users for early molecule development and other research ac¢vi¢es by providing robust, scalable, and secure compu¢ng resources. Job Descrip¢on Major accountabili¢es: ¢ Architect and Design: Lead the design and architecture of an GPU based AI infrastructure pla¢orm, with a focus on suppor¢ng Genera¢ve AI workloads and advanced analy¢cs for pharma business use-cases like BioNeMo,...

Join us as a DevOps Engineer This is an opportunity for a driven individual to take on an exciting new career challenge Youll focus on enhancing the integration of development and platform activities to improve deployment and system reliability Its a chance to have a tangible effect on our function, put your existing skills to the test and advance your career We're offering this role at associate vice president level What you'll do As a DevOps Engineer, youll be responsible for designing and implementing solutions, driving automation, and optimising performance across the software development lifecycle. Youll be securing buy-in to DevOps methodologies from the Product Owner, Platform Lead, a...

Role Overview: As an MLOps Engineer at our company, you will be expected to possess a strong blend of MLOps and ML engineering skills. Your primary responsibilities will revolve around handling tickets related to MLOps and Data Engineering, utilizing your expertise in Python, AWS services (such as ECS, Batch Compute, S3, Timestream, IAM, CloudWatch, Athena), Airflow for orchestration, MLflow for model versioning, GitLab CI, and eventually, AWS SageMaker pipelines. Additionally, you will be required to demonstrate your data engineering skills by expertly monitoring pipelines, investigating query issues, and ensuring smooth data flow from Bulk CDM to ALTO. Key Responsibilities: - Handle MLOps ...

Role Overview: As the AI/ML Practice Lead, your primary responsibility will be to set up the Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be instrumental in establishing Data Science & Analytics as a Service (DaaS) within the organization. Your role will involve building a practice with capabilities to create solution blueprints, orchestrate data acquisition and engineering, and develop AI/ML models to solve analytical problems. Staying up-to-date with industry trends and fostering collaboration and engagement will also be key aspects of your role. Additionally, you will drive discussions with internal and external stakeholders to evaluate and design...

Role: AI Engineer Years of Experience: 5-10 Yrs Location: Hyderabad Date Of Interview: 6th, 7th, 8th Nov, 2025 Kindly share if there is a skill match with 5+ Yrs of experience. Roles & Responsibilities: Over 5+ yrs of experience in Python, Generative AI models (LLMs, Image Generators, etc.), and Agentic AI concepts. Agentic AI principles to build AI agents capable of autonomous decision-making. Good understanding of Python programming fundamentals (functions, OOPs, basic libraries like pandas, numpy). Basic knowledge or keen interest in AI/ML concepts. Familiarity with ChatGPT, Generative AI tools, or understanding of LLMs is a plus. Eagerness to learn about Agentic AI and AI agent design. G...

Description We are looking for a skilled LLM / GenAI & Machine Learning Expert who can drive innovative AI/ML solutions and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with hands-on experience in both traditional Machine Learning and Generative AI, including experience with AWS SageMaker, LLMs, and related tools and frameworks. This role demands not only technical excellence but also strong communication skills and the ability to guide and mentor junior team members. Exposure to emerging concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. Key Resp...

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We need a skilled Produc...

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...