847 Aws Sagemaker Jobs - Page 34

Project Role :AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Amazon Sagemaker Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will invol...

Project Role :AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Amazon Sagemaker Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typ...

Key Responsibilities: - Lead the design, development, and deployment of machine learning models across various business domains. Architect and implement end-to-end ML pipelines using AWS Sage maker AI, MLflow for experiment tracking, model versioning, and lifecycle management. Oversee model training, tuning, and deployment using Amazon SageMaker AI, including Pipelines, Model Registry, and Model Monitor. Mentor and guide a team of data scientists, ensuring best practices in coding, experimentation, and documentation. Collaborate with engineering, product, and business teams to translate complex problems into data-driven solutions. Establish and enforce MLOps standards for reproducibility, sc...

MLOps / ML Architect 01 starts August 14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI Hands on experience of the following – Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated Ensure the consistency of feature data between offline training and online operations Govern data in a feature store and promote collaboration between teams with a feature store Implement MLOps principles of automated testing, versioning, and monitoring of features and models. The modeling skills required for ML: How to train ML models from (time-series) tabular data in a feature store How to personaliz...

MLOps / ML Architect 01 starts August 14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI Hands on experience of the following – Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated Ensure the consistency of feature data between offline training and online operations Govern data in a feature store and promote collaboration between teams with a feature store Implement MLOps principles of automated testing, versioning, and monitoring of features and models. The modeling skills required for ML: How to train ML models from (time-series) tabular data in a feature store How to personaliz...

Bachelors Degree in Computer Science/Engineering/Applied Math/Information Systems, or Information Technology Masters degree in Information Technology /Computer Science is a plus 4+ years of relevant experience Extensive current working knowledge of AWS technologies including Lambda, S3, SageMaker, Athena, etc Extensive current working SQL knowledge Experience in migration of legacy data into new cloud-based technologies Experience in various RDBMS and NOSQL platforms Working knowledge of MySql, SQL Server, Data Warehousing and ETL Tools Coding Knowledge (Stored procedures & Python) Location: Chennai-6 PM to 3 AM IST (US client time).

Job Ove-rview We are seeking a hands-on and customer-facing AWS MLOps & LLMOps Engineer with expertise in reinforcement learning , SageMaker , Feature Store , and continuous ML lifecycle management . Youll lead the deployment and monitoring of ML and LLM models, support sales with RFPs, and take full ownership of AI projects from ideation to production. Experience with Kubernetes is a strong plus. Key Responsibilities Design and implement MLOps and LLMOps pipelines using AWS services (SageMaker Pipelines, Lambda, EKS, ECS, etc.) Build and manage reinforcement learning pipelines , including simulation environments, reward modeling, and policy optimization Integrate and maintain Amazon SageMak...

Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine l...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline wi...

Job Summary We are looking for a visionary and hands-on Cloud Architect to join our Enterprise Architecture team. This role requires deep expertise in cloud-native architecture, AI-native infrastructure, and multi-cloud design. You will lead cloud transformation journeys, architect scalable and secure platforms, and integrate AI capabilities into enterprise ecosystems. Ideal for architects who thrive in fast-paced, customer-facing roles with a strong focus on innovation, governance, and modernization. Key Responsibilities Design and implement cloud-native architectures using AWS, Azure, or GCP. - Architect and integrate AI-native services (e.g., Vertex AI, Azure OpenAI, AWS SageMaker) into e...

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, g...

We are seeking a talented and motivated Python AI/ML Developer to join our growing team. The ideal candidate will have a strong background in Python programming, experience with AWS Comprehend, AWS Lex, and Generative AI technologies. You will be responsible for designing, developing, and implementing AI/ML models and applications that utilize these powerful tools. Key Responsibilities: Develop, deploy, and maintain AI/ML models using Python and AWS services, including Comprehend, Lex, and GenAI. Design and implement natural language processing (NLP) applications to enhance text analysis, sentiment analysis, and language understanding capabilities. Collaborate with cross-functional teams to ...

Education Qualification: Bachelor's degree in computer science or related field or higher with minimum4 years of relevant experience. Position Description: We are looking for a proactive and skilled Mid-Level DevOps Engineer to join our growing team and support cutting-edge AI-driven initiatives. This role is critical to building and maintaining scalable, reliable infrastructure for machine learning models and data-intensive applications. The ideal candidate will bring strong DevOps expertise, hands-on experience with cloud platforms, CI/CD, and a solid understanding of AI/ML workflows. Your future duties and responsibilities: Design and maintain CI/CD pipelines for AI/ML model training, tes...

We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities:AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, ...

Data Scientist - GenAI Applications Position Overview We are seeking an experienced Data Scientist with 6+ years of experience to join our GenAI Applications team. This role leverages core data science expertisestatistical modeling, machine learning, and data analysis—to enhance and optimize generative AI solutions. The ideal candidate will bring strong foundational data science skills and apply them to the emerging field of generative AI. Key Responsibilities Statistical Analysis & Machine Learning Conduct statistical analysis and hypothesis testing to validate model performance and business impact Build and optimize traditional machine learning models (regression, classification, clusterin...

Role & responsibilities 3 to 6 years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Strong understanding of nonlinear optimization , constrained minimization, and time-series simulation Proficiency in advanced time series techniques , including probabilistic and hierarchical forecasting. Extensive practical experience working with the Databricks platform , including notebooks, jobs, and ML capabilities. Expert proficiency in PySpark, Python and SQL. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with model deployment, monitoring, and automation workflows using AWS SageMaker. Preferred candida...

Job Description Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Ensure data security, integrity, and compliance with data governance policie...

Mandatory Skills are: AWS machine learning services(AWS machine learning services) • data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) • knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) • Python and common data manipulation libraries Experience: 5+ years of experience in machine learning engineering or a related field. Technical Skills: * Programming Languages: Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus. * Machine Learning Libraries: Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc. * Data Processing: Experience with data manipulation...

Job Description: Join DigiAlly , a cutting-edge fintech innovator enabling digital trust between SMEs and financial institutions across India and Southeast Asia using Generative AI , LLMs , and behavioral intelligence platforms . We are hiring a Senior Generative AI Engineer to lead the development of AI copilots , prompt/RAG workflows , and LLM-integrated decision systems using platforms like Amazon Bedrock and Google Vertex AI . Key Responsibilities: Design & optimize LLM prompts and context flows for fintech use cases. Build retrieval-augmented generation (RAG) systems using LangChain, LangFlow, Semantic Kernel. Integrate GenAI outputs with structured ML signals (fraud detection, risk sco...

Company Name: Karini AI Job Title: Generative AI Engineer Location: Wakad, Pune (Onsite) Employment Type: Full-time Job Overview: Karini AI is looking for a highly motivated and skilled Generative AI Engineer to join our AI team. The ideal candidate should have expertise in Large Language Models (LLMs), Machine Learning (ML), and Deep Learning . We are looking for problem solvers, collaborative team players, and passionate individuals eager to work on cutting-edge AI technologies. If you aspire to be part of an innovative team and accelerate your career in AI, this is the perfect opportunity for you! Roles & Responsibilities: Collaborate with researchers, engineers, and domain experts to des...

AI Quality Assurance Lead (Evaluation & Testing) This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India ABOUT THE TEAM The Generative AI Quality & Safety team owns ABC Fitnesss evaluation frameworks, testing pipelines, and compliance tooling for AI-driven features. We partner with product, engineering, and legal teams to ensure every LLM interaction meets rigorous standards for accuracy, safety, and performance. As our AI Quality Assurance Lead, youll architect hybrid (automated + human) testing systems, define GenAI quality KPIs, and embed Responsible AI principles across our fitness-tech platform. At ABC Fitness, we love entrepreneurs ...

Senior GenAI Developer with 8+ yrs exp, 2+ in NLP/GenAI. Skilled in Python, LangChain, AWS (SageMaker, Bedrock), vector stores, LLM fine-tuning, prompt engineering, agent frameworks, CI/CD, Textract, and secure, scalable architecture design.