499 Aws Sagemaker Jobs - Page 9

Role Description : Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the data scientists in hands-on mode developing and deploying advanced machine learning models, including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural ...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 7+ years. Hands on working experience in Python Experience with data visualization libraries (e.g., matplotlib, seaborn, plotly) Strong working experience grasp of DS stack packages: SciPy, scikit-learn, TensorFlow, PyTorch, NumPy...

At PwC, the focus in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will concentrate on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities include developing and implementing data pipelines, data integration, and data transformation solutions. As an AWS Architect / Manager at PwC - AC, you will interact with Offshore Manager/Onsite Business Analyst to under...

You should have an understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring. Experience in operationalizing ML models in production is required. You should possess knowledge of model drift and data drift detection techniques, as well as experience in model versioning and monitoring. Proficiency in AWS SageMaker for training, deploying, and hosting ML models, as well as AWS ECS (Elastic Container Service) for running containerized services, is essential. Additionally, Python programming skills are necessary for ML, pipelines, and scripting. As part of your job responsibilities, you will be expected to apply your understanding of the ML model lifecycl...

As an AWS Developer at PwC's Advisory Acceleration Center, you will collaborate with the Offshore Manager and Onsite Business Analyst to comprehend requirements and take charge of implementing Cloud data engineering solutions on AWS, such as Enterprise Data Lake and Data hub. With a focus on architecting and delivering scalable cloud-based enterprise data solutions, you will bring your expertise in end-to-end implementation of Cloud data engineering solutions using tools like Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. Your responsibilities will include loading disparate data sets, translating complex requirements into detailed...

As an AWS Developer at PwC's Acceleration Center in Bangalore, you will be responsible for the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. You will collaborate with Offshore Manager/Onsite Business Analyst to understand requirements and architect scalable, distributed, cloud-based enterprise data solutions. Your role will involve hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. You must have a deep understanding of relational and NoSQL data stores, methods, and approaches such as star and snowflake dimensional modeling. Strong expertise in AWS ...

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. As a Graduate Trainee Engineer, you will have the opportunity to contribute significantly by: - Designing, developing, and optimizing NLP-driven AI solutions using cutting-edge models and techniques such as NER, embeddings, and summarization. - Building and operationalizing RAG pipelines and agentic workflows to facilitate intelligent, context-aware a...

We are seeking a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. Your primary responsibility will involve building and deploying advanced predictive models to influence key business decisions. To excel in this role, you should possess a strong background in machine learning, data engineering, and cloud environments, with a particular emphasis on AWS. Your main tasks will include collaborating with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This position offers an excellent opportunity to work on impactful AI/ML solutions within a...

You are a Data Engineer with 5-8 years of experience in AWS Data Engineering. Your role involves implementing data lake and warehousing strategies to support analytics, AI, and machine learning initiatives. You will be responsible for developing and maintaining scalable data pipelines, managing data storage solutions using S3 buckets, and optimizing data retrieval and query performance. Your expertise in Python, proficiency in Snowflake and AWS services, and strong understanding of data warehousing, ETL processes, and cloud data storage will be crucial in this role. You will collaborate with cross-functional teams to deliver solutions that align with business goals, ensure compliance with da...

We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecyclesfrom data ingestion to model deployment and monitoring. Lead t...

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an...

We are seeking a highly skilled Senior Data Science Consultant with a strong background in data science, operations research, and mathematical optimization to lead an internal optimization initiative. You will be responsible for developing and implementing mathematical models to optimize resource allocation and process performance, and building robust data pipelines. This role requires a blend of technical depth, business acumen, and collaborative communication to solve complex business problems. Roles & Responsibilities: Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocat...

We are seeking a highly skilled Senior Data Science Consultant with a strong background in data science, operations research, and mathematical optimization to lead an internal optimization initiative. You will be responsible for developing and implementing mathematical models to optimize resource allocation and process performance, and building robust data pipelines. This role requires a blend of technical depth, business acumen, and collaborative communication to solve complex business problems. Roles & Responsibilities: Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocat...

Key Responsibilities: Lead and execute data science projects focused on operational optimization from concept to deployment Design and implement mathematical models to improve process performance, decision-making, and resource utilization Apply linear programming, mixed-integer programming, and heuristic/metaheuristic techniques to real-world problems Collaborate with cross-functional stakeholders to define project objectives and translate them into data-driven solutions Develop data pipelines and apply statistical and machine learning methods to derive insights Clearly communicate technical solutions and findings to both technical and business audiences Mentor junior team members and contri...

Key Responsibilities: Lead and execute data science projects focused on operational optimization from concept to deployment Design and implement mathematical models to improve process performance, decision-making, and resource utilization Apply linear programming, mixed-integer programming, and heuristic/metaheuristic techniques to real-world problems Collaborate with cross-functional stakeholders to define project objectives and translate them into data-driven solutions Develop data pipelines and apply statistical and machine learning methods to derive insights Clearly communicate technical solutions and findings to both technical and business audiences Mentor junior team members and contri...

Key Responsibilities: Lead and execute data science projects focused on operational optimization from concept to deployment Design and implement mathematical models to improve process performance, decision-making, and resource utilization Apply linear programming, mixed-integer programming, and heuristic/metaheuristic techniques to real-world problems Collaborate with cross-functional stakeholders to define project objectives and translate them into data-driven solutions Develop data pipelines and apply statistical and machine learning methods to derive insights Clearly communicate technical solutions and findings to both technical and business audiences Mentor junior team members and contri...

Job description In this roleyouwill help to develop,build, design,continuously improve,and supportthe AI Platform at Thomson Reuters. You willparticipatein all stages of development, use various software and tools, and enabling self-service tools for data science teams. The role also involves designing, developing, integrating, and deploying tools for Data Science, GenAI and Machine Learning (ML) Research. The successful applicant will design andoperatea framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles. The role requires continuous evolution of the platform and keepingup to datewithnew technol...

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating techni...

You will be responsible for designing and building backend components of our MLOps platform in Python on AWS. This includes collaborating with geographically distributed cross-functional teams and participating in an on-call rotation with the rest of the team to handle production incidents. To be successful in this role, you should have at least 3+ years of professional backend development experience with Python. Additionally, you should have experience with web development frameworks such as Flask or FastAPI, as well as working with WSGI & ASGI web servers like Gunicorn and Uvicorn. Experience with concurrent programming designs such as AsyncIO, containers (Docker), AWS ECS or AWS EKS, unit...

As a Software Engineer - Backend (Python) with over 7 years of experience, you will be based in Hyderabad and play a crucial role in developing the backend components of the GenAI Platform. Your responsibilities will include designing and constructing backend features for the platform on AWS, collaborating with cross-functional teams spread across different locations, and participating in an on-call rotation for managing production incidents. To excel in this role, you must possess the following skills: - A minimum of 7 years of professional experience in backend web development using Python. - Proficiency in AI, RAG, DevOps, and Infrastructure as Code (IaC) tools like Terraform and Jenkins....

As a Senior Manager of Technical Program Management at Capital One India, you will be part of the Machine Learning Experience (MLX) team, a group dedicated to implementing responsible ML models and features across the company. Your role will involve collaborating with various teams including product, engineering, and data scientists to create roadmaps, define milestones, and build scalable ML products and platforms. You will be responsible for driving innovation, presenting to executive stakeholders, and ensuring the successful delivery of enterprise-level initiatives. The ideal candidate for this role will possess a strong technical background in building scalable platforms and products, al...

As a Sr. Data Scientist with over 5 years of professional experience, you will be joining the data team of Inferenz, a client of Uplers. Your primary responsibility will involve analyzing large datasets, developing predictive models, and deriving actionable insights to facilitate strategic decision-making. This role presents an exciting opportunity to create a tangible impact by leveraging machine learning, statistical analysis, and business intelligence within a dynamic work environment. Your key responsibilities will include extracting insights and constructing models to comprehend and predict key metrics. You will collaborate closely with stakeholders to identify business challenges and t...

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models...

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 ...

Skills & Qualifications Exp - 4-6 years in Real world data analysis Qualification - Masters/PhD in statistics, M. Tech, M. Pharma Strong foundation in large database analysis, biostatistics, clinical trial, observational research and epidemiology Experience with handling large databases like administrative claims, electronic health records, patient chart review, Ability to manage multiple projects and deliver results under tight timelines Excellent interpersonal skills and analytical thoughts Tool & Platform Expertise Healthcare coding system ICD9 and 10, HCPCS, CPT, NDC etc. Use programming languages and tools such as SAS, R, R-Shiny, SQL, Python, Power BI Familiarity with RWE platforms lik...