Verified Job On Employer Career Site

Job Summary:

Amazon Web Services (AWS) is seeking a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities. The role involves collaborating with customers to design and deploy bespoke AI solutions, while also conducting research and development of AI algorithms to tackle real-world challenges.

Responsibilities:

• Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring

• Collaborating with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges

• Interacting with customers directly to understand the business challenges, deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production

• Creating and delivering best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders

• Providing customer and market feedback to product and engineering teams to help define product direction

Qualifications:

Required:

• Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field

• 3+ years of building machine learning models for business application experience including predictive modelling, natural language processing, and deep learning

• 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production

• 2+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) and coding with Python or R, using modern machine learning libraries and tools such as scikit-learn, TensorFlow, PyTorch.

• Experience with technical customer-facing engagements

Preferred:

• PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

• AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional)

• 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools

• 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow

• Experience in launching AI applications in production on AWS

• Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines

• Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

Company:

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Late Stage. Amazon Web Services (AWS) has a track record of offering H1B sponsorships.