Delivery Consultant (AI/ML)

TL;DR

Delivery Consultant (AI/ML/AWS): Designing and implementing end-to-end AI, ML, and Generative AI solutions for global enterprises with an accent on scalable ML pipelines and MLOps. Focus on architecting secure cloud-based AI systems, operationalizing models, and driving business value through GenAI adoption.

Location: Must be based in or able to work from one of the following US locations: Seattle, Atlanta, New York, Chicago, San Francisco, San Diego, or Dallas. Customer-facing role with potential travel to customer sites.

Salary: $131,300 – $204,300 annually

Company

hirify.global (AWS) is the world's most comprehensive cloud platform, providing robust AI/ML infrastructure to startups and Global 500 companies.

What you will do

• Implement end-to-end AI/ML and GenAI projects from business needs analysis to deployment and monitoring.
• Design and implement high-performance, reliable, and secure ML pipelines and MLOps workflows.
• Collaborate with cross-functional teams including Applied Science, DevOps, and Data Engineering.
• Serve as a trusted advisor to customers on AI/ML architectures and emerging cloud technologies.
• Develop reusable technical artifacts and share best practices through mentoring and training.
• Ensure AI solutions meet industry standards and support customer cloud adoption strategies.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 3+ years of experience in cloud architecture and solution implementation.
• 3+ years of experience in data, software, or ML engineering with a focus on distributed computing and ML infrastructure.
• 3+ years developing predictive modeling, NLP, and deep learning, including cloud deployment (e.g., SageMaker).
• Proficiency in SQL, Python and at least one additional language (Java, Scala, JavaScript, or TypeScript).
• Availability to work from specified US hubs and travel to customer sites as needed.

Nice to have

• Experience with ML frameworks like PyTorch or TensorFlow and models such as BERT or GPT.
• Proficiency in AWS services including Bedrock, EC2, ECS, EKS, OpenSearch, and CloudFormation.
• Knowledge of Infrastructure as Code (Terraform, CDK) and CI/CD pipelines.
• Experience with MLOps tools such as MLFlow, Kubeflow, or Airflow.
• Hands-on experience with GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering).

Culture & Benefits

• Comprehensive health insurance including medical, dental, vision, and mental health support.
• Financial benefits including 401(k) matching, sign-on payments, and Restricted Stock Units (RSUs).
• Paid time off and parental leave.
• Commitment to work-life harmony and flexible working culture.
• Inclusive environment with employee-led affinity groups and mentorship opportunities.