846 Aws Sagemaker Jobs - Page 14

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. - Lead feature engineering and model optimization efforts - Build and manage end-to-end ML pipelines using MLOps practices - Collaborate with data scientists and product teams to understand business requir...

As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a senior role in our journey of innovation. Your primary focus will be on introducing and scaling up data-driven risk analytics solutions through the application of data science and machine learning techniques. Your contributions will transform our operations and business processes, enhancing the core value proposition of our system and expanding flexible analytical capabilities for the growth of Newton's platform. Your responsibilities in this role will include: - Collaborating with peers and stakeholders to identify use cases for Data Science that create value, utilizing your expertise i...

Role Overview: As a Data Science/Machine Learning Instructor at our organization, you will be responsible for conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This includes topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. You will collaborate with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services. Key Responsibilities: - Conduct live instructions to educate working professionals on topics related to Da...

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. - Project planning, tracking, and execution using methodologies such as Agile, Scrum, and SDLC/Waterfall. - Juggling multiple projects and stakeholders ac...

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description Seni...

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Develop POCs and Sho...

In this role at PwC, you will be responsible for utilizing advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. **Key Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junio...

As an MLOps Engineer, your role will involve designing, implementing, and maintaining scalable machine learning pipelines and infrastructure. You should have a strong understanding of ML lifecycle management, CI/CD for ML models, and cloud platforms to ensure seamless integration between data science and production environments. Key Responsibilities: - Build, deploy, and manage end-to-end ML pipelines from experimentation to production. - Develop and maintain CI/CD workflows for ML models. - Automate training, testing, monitoring, and retraining processes. - Manage model versioning, deployment, and scaling in production environments. - Ensure observability, logging, and monitoring for ML mod...

Role Overview: As a Senior AI Engineer at Rockwell Automation, you will play a crucial role in contributing to the design, development, and deployment of enterprise-grade artificial intelligence solutions. Your work will be focused on driving innovation and delivering measurable business value by collaborating with cross-functional teams including data scientists, software engineers, and partners. You will be responsible for building scalable, secure, and ethically responsible AI systems, ensuring they integrate with existing IT and data infrastructure. Key Responsibilities: - Develop AI Solutions: Build and implement AI models and pipelines that ensure performance, scalability, and maintain...

Requirements 5+ years in AI/ML engineering with production experience Expertise in RAG and GraphRAG architectures Proven experience in fine-tuning LLMs and deep learning models Experience with agent-based systems and memory architectures Strong Python and PyTorch skills Proficiency in Go for backend systems Solid knowledge of AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3) Familiarity with vector databases like Pinecone, Weaviate, or Qdrant Understanding of ML operations, model deployment, and monitoring Responsibilities Act as a founding engineer with customer-first thinking Work closely with founders, designers, and engineers to ship features Keep the platform aligned with tech and business ...

As a Data Science Lead at House of Shipping in Hyderabad, you will play a crucial role in leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. Your background of 15-18 years in data science, including at least 5 years in leadership roles, will be essential in building and scaling data science teams in logistics, e-commerce, or manufacturing. Your expertise in statistical learning, ML architecture, productionizing models, and impact tracking will be key to success in this role. **Key Responsibilities:** - Define and drive the data science roadmap across forecasting, route optimization, warehouse simulation,...

Join us and drive the design and deployment of AI/ML frameworks revolutionizing telecom services. As a key member of our team, you will architect and build scalable, secure AI systems for service assurance, orchestration, and fulfillment, working directly with network experts to drive business impact. You will be responsible for defining architecture blueprints, selecting the right tools and platforms, and guiding cross-functional teams to deliver scalable AI systems. This role offers significant growth potential, mentorship opportunities, and the chance to shape the future of telecoms using the latest AI technologies and platforms. You have: 10+ years' experience in AI/ML design and deploym...

AI/ML Engineer (2-3 positions) Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications, including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments, both in the cloud and on edge devices. Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models ...

Job Title: MLOps Engineer Location: Remote / Pan India,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad iSource Services is hiring for one of their client for the position of MLOps Engineer. About the Role: The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount. Core Requirements (In Order of ...

We are looking forward to hirePython Professionals in the following areas : 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...

Role Overview: As a Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings. You will collaborate with cross-functional teams and ensure the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Key Responsibilities: - Lead the development and execution of AI/ML products from concept to launch. - Define the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. - Collab...

As a Senior Data Scientist at our company, you will be an integral part of our dynamic team, leveraging your 5-8 years of experience in AI/ML analytics to drive business insights and innovation. Your main responsibilities will include: - Developing and implementing machine learning models and algorithms - Collaborating with project stakeholders to understand requirements and translate them into deliverables - Analyzing and interpreting complex data sets using statistical and machine learning techniques - Staying updated with the latest advancements in AI/ML technologies and methodologies - Supporting various AI/ML initiatives by collaborating with cross-functional teams To qualify for this r...

Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV as applicable. Use Python (Panda...

As an MLOps Engineer, your role will involve researching and implementing MLOps tools, frameworks, and platforms for Data Science projects. You will work on activities to enhance MLOps maturity within the organization by introducing a modern, agile, and automated approach to Data Science. Additionally, you will conduct internal training and presentations on the benefits and usage of MLOps tools. Key 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 Qualifications Required: - Wide ...

In this role at Bluevine, you will shape and own the ecosystem that productizes our core data products. You will work closely with our Data teams to influence how data is consumed and integrated throughout the organization. Your responsibilities will include designing new ML solutions, finding innovative solutions for real-time analytics, and building complex data pipelines. **Key Responsibilities:** - Support Bluevine's business and research Data teams by designing and developing data-centric infrastructure tools for Data Analytics and Research, both in real-time and offline. - Help design and implement next-generation ML workloads, focusing on modern, efficient Big Data technologies. - Uti...

The Machine Learning R&D Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals. You can apply directly using the link below: https://jobs.lever.co/welocalize/a888c55f-ec73-4d27-9174-f1c5fa11d2c7 Tasks and Responsibilities: Machine learning model research and development: design, develop and deploy machine learnin...

Role & responsibilities Collaborate with business stakeholders to understand requirements and translate them into ML problem statements. Develop and deploy machine learning and deep learning models using frameworks such as TensorFlow , PyTorch , or Keras . Build end-to-end ML pipelines from data ingestion, preprocessing, feature engineering to training and deployment. Work with structured and unstructured data , applying advanced data preprocessing and augmentation techniques. Integrate ML models into scalable backend systems or APIs. Monitor model performance and design model evaluation/operationalization metrics . Deployment of models using cloud platforms such as AWS Sagemaker , Azure ML ...

Role & responsibilities Collaborate with business stakeholders to understand requirements and translate them into ML problem statements. Develop and deploy machine learning and deep learning models using frameworks such as TensorFlow , PyTorch , or Keras . Build end-to-end ML pipelines from data ingestion, preprocessing, feature engineering to training and deployment. Work with structured and unstructured data , applying advanced data preprocessing and augmentation techniques. Integrate ML models into scalable backend systems or APIs. Monitor model performance and design model evaluation/operationalization metrics . Deployment of models using cloud platforms such as AWS Sagemaker , Azure ML ...

Job Description Role Summary: Analytics Lead is responsible for designing, building, and maintaining the infrastructure for data generation, storage, and retrieval. Also managing a team of data scientists, planning and executing data projects, and developing analytical models Roles and Responsibility: Manage a team of data scientists and data engineers Plan and prioritize data projects to align with business goals. Data Pipeline Development: Create and manage data pipelines to ensure efficient data flow and processing 1. Database Management: Design, implement, and optimize databases for storing large volumes of data 2. Data Integration: Integrate data from various sources and ensure its qual...

As a Senior Business Insight Manager in AI & Data Science, your role will involve leading enterprise-wide transformation programs within global BPO operations. Your responsibilities will include: - Leading strategic transformation programs focused on cost reduction, process efficiency, and quality improvement. - Aligning transformation initiatives with strategic business goals to drive measurable outcomes. - Identifying and championing use cases for AI technologies across key functions such as quality assurance, workforce management, fraud detection, and content moderation. - Collaborating with internal teams to develop AI/ML solutions and production-ready deployments. - Leveraging Lean Six ...