Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Description For Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Amazon Web Services (AWS) Professional Services team is seeking a skilled ML Engineer to join as a Delivery Consultant. This role combines technical expertise in machine learning with customer-facing responsibilities, making it an exciting opportunity for those passionate about AI/ML implementation at scale.
The position involves working directly with customers to design, implement, and manage AWS AI/ML and GenAI solutions. You'll be instrumental in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Your deep understanding of AWS products and services will be crucial in architecting complex, scalable, and secure AI/ML solutions.
As a Delivery Consultant, you'll work closely with stakeholders to gather requirements, assess infrastructure, and propose effective migration strategies. You'll serve as a trusted advisor, providing guidance on industry trends, emerging technologies, and innovative solutions. The role requires expertise in implementing end-to-end AI/ML projects, from understanding business needs to data preparation, model development, deployment, and monitoring.
The position offers significant growth opportunities within AWS's global team of experts. You'll be part of an inclusive culture that values learning and curiosity, with access to extensive knowledge-sharing resources, mentorship, and career advancement opportunities. AWS emphasizes work-life harmony and provides flexibility in the working culture.
Key technical aspects include designing ML pipelines, implementing MLOps practices, working with various AWS services, and staying current with emerging technologies like Generative AI. The role requires both technical depth in ML engineering and strong communication skills to explain complex concepts to diverse audiences.
This position offers competitive compensation, including a base salary range of $99,900 to $166,900 per year, plus additional benefits and equity opportunities. It's an excellent opportunity for experienced ML engineers looking to impact enterprise-scale AI implementations while working with cutting-edge technologies at AWS.
Responsibilities For Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
- Implementing end-to-end AI/ML and GenAI projects
- Designing and implementing machine learning pipelines
- Designing scalable ML solutions and operations (MLOps) using AWS services
- Collaborating with cross-functional teams
- Serving as a trusted advisor to customers on AI/ML and GenAI solutions
- Sharing knowledge and best practices within the organization
- Ensuring solutions meet industry standards
Requirements For Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
- 5+ years of experience in cloud architecture and implementation
- 5+ years of experience in data or software or machine learning engineering
- 3+ years developing platforms for predictive modeling, natural language processing, and deep learning
- 3+ years in developing with SQL, Python, and at least one additional programming language
- Fluent in French and English if located in Quebec
- Strong understanding of distributed computing
- Experience with ML libraries and frameworks such as TensorFlow, PyTorch
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