Amazon Web Services (AWS) ยท 3 days ago
Senior Delivery Consultant - Senior Machine Learning Engineer, AWS Professional Services, AWS Professional Services
Boston, MA
Full-time
Hybrid
Senior Level, Lead/Staff
$138K/yr - $239K/yr
8+ years expAmazon Web Services (AWS) is seeking a skilled Machine Learning Engineer to join their Professional Services team as a Delivery Consultant. In this role, you'll collaborate with customers to design and implement AWS AI/ML and Generative AI solutions, ensuring adherence to best practices and driving customer success throughout their cloud journey.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies
Qualification
Required
5+ years cloud architecture and implementation
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred
AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines
Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
Strong communication skills with ability to explain complex concepts to technical and non-technical audiences with the ability to lead technical teams in customer projects
Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon Web Services (AWS)
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.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
2026-01-07
2026-01-07
2026-01-07
Company data provided by crunchbase