Delivery Consultant (AI/ML)

TL;DR

Delivery Consultant (AI/ML): Implementing end-to-end AI/ML and Generative AI solutions for enterprise customers with an accent on cloud architecture, MLOps, and scalable data pipelines. Focus on designing high-performance models, providing technical advisory, and driving successful cloud adoption strategies within the AWS ecosystem.

Location: Must be based in the USA (Boston, Jersey City, Seattle, Atlanta, New York, Herndon, Chicago, San Francisco, San Diego, or Dallas).

Salary: $131,300–$204,300 USD annually (depending on location).

Company

hirify.global Web Services (AWS) is a global leader in cloud computing, providing a comprehensive suite of infrastructure and platform services to businesses worldwide.

What you will do

• Implement end-to-end AI/ML and GenAI projects from data preparation to model deployment and monitoring.
• Design scalable machine learning pipelines and MLOps workflows using AWS services.
• Collaborate with cross-functional teams including Applied Science, DevOps, and Data Engineering.
• Serve as a trusted advisor to customers, providing technical expertise on AI/ML and cloud architectures.
• Share best practices through mentoring, training, and creating reusable technical artifacts.
• Ensure all solutions meet industry standards for performance, reliability, and security.

Requirements

• Must be based in the USA and eligible to work in the country.
• 3+ years of experience in cloud architecture and solution implementation.
• 3+ years of experience in data, software, or ML engineering with distributed computing knowledge.
• 3+ years of experience developing predictive modeling, NLP, and deep learning on cloud platforms.
• Proficiency in SQL, Python, and at least one additional programming language (Java, Scala, JavaScript, or TypeScript).
• Ability to travel to customer sites as needed.

Nice to have

• Proficiency in AWS services such as SageMaker, Bedrock, EKS, and Step Functions.
• Experience with MLOps tools like MLFlow or Kubeflow.
• Experience building applications using GenAI technologies like LangChain and Vector Stores.
• Experience with Infrastructure as Code tools like Terraform or CloudFormation.

Culture & Benefits

• Comprehensive health insurance including medical, dental, and vision.
• 401(k) matching and competitive retirement planning.
• Paid time off and parental leave.
• Focus on work-life harmony and flexible working culture.
• Access to mentorship, career growth resources, and internal affinity groups.