117 AWS Sagemaker Jobs

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 :Machine Learning

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :BE
Summary:As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with machine learning techniques, including deep learning, neural networks, chatbots, and natural language processing.
Roles & Responsibilities:

Design and develop machine learning models and algorithms for various applications.

Implement and optimize machine learning models on large datasets.

Collaborate with cross-functional teams to integrate machine learning models into production systems.

Stay up-to-date with the latest advancements in machine learning and AI technologies.Professional & Technical Skills:Machine Learning Modeling:

Develop, implement, and optimize machine learning models for various applications, including customer segmentation, regression analysis, time series forecasting, and clustering.

Develop, implement, and optimize machine learning models using the AWS machine learning stack, including SageMaker, S3, Lambda, and other relevant services.

Explore and apply advanced machine learning techniques to solve complex business problems.Generative AI:

Utilize AWS Generative AI capabilities to create and deploy models for tasks such as image generation, text-to-image synthesis, and other generative applications.

Stay updated on the latest advancements in generative AI and incorporate emerging technologies into the development process.Data Exploration and Analysis:

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.Feature Engineering:

Collaborate with data engineers to preprocess and engineer features that enhance model performance.

Ensure data quality, consistency, and integrity throughout the modeling process.Model Deployment:

Deploy machine learning models and generative AI models into production environments using AWS services.

Implement scalable and efficient solutions for real-time and batch predictions. Additional Information:

The candidate should have a minimum of 5 years of experience in machine learning.

The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

This position is based at our Bengaluru office.QualificationBE