Projects Overview
  • Date Posted: 13-Jul-2026
  • Job Type: Full Time
  • Job Exp: 1 Year
  • Salary: ₹15000 / MONTH
  • Location: MUMBAI
  • Education Req: Bachelor's (Preferred)
Job description

Job Title: Delivery Consultant – Generative AI & Machine Learning

Company: Amazon Web Services (AWS)
Location: Maharashtra, India
Job Type: Full-time


About the Role

The AWS Professional Services (ProServe) team is seeking a skilled Delivery Consultant to design, implement, and manage end-to-end Machine Learning (ML) and Generative AI (GenAI) solutions. In this role, you’ll work directly with customers, helping them achieve success throughout their cloud journey by leveraging AWS technologies and best practices. You’ll architect secure, scalable solutions, lead project delivery, and serve as a trusted advisor in emerging tech domains.


Key Responsibilities

  • Design, implement, and deploy complex, secure, and scalable GenAI and ML applications on AWS

  • Provide technical leadership throughout the project lifecycle using AWS AI/ML services

  • Collaborate with customers to gather requirements and define training and deployment strategies

  • Guide clients on emerging technologies, trends, and architecture best practices

  • Mentor internal teams, share knowledge, and contribute to reusable tools and documentation


Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

  • Proven experience designing and deploying ML and GenAI solutions, from conception to production

  • Strong data modeling, statistical analysis, and large-scale data processing expertise

  • Hands-on experience with cloud architecture and implementation

  • Strong understanding of ML model selection, evaluation, and foundational model integration


Preferred Qualifications

  • Proficiency with a broad range of AWS services:
    (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)

  • AWS certifications preferred:
    (e.g., Solutions Architect Professional, ML Engineer Associate, ML Specialty)

  • Expertise in LLMs and Agentic AI systems, including fine-tuning and continuous training

  • Experience with scripting and automation tools (e.g., Python, Terraform)

  • Knowledge of security and compliance frameworks (e.g., HIPAA, GDPR)

  • Excellent verbal and written communication skills


Why Join AWS?

Diverse Experiences & Inclusive Culture

  • We welcome non-traditional career paths, early-career professionals, and diverse backgrounds.

  • Participate in community-driven initiatives like CORE (Conversations on Race & Ethnicity) and AmazeCon for gender diversity.

Mentorship & Career Growth

  • Access to career-advancing mentorship, global learning communities, and development resources.

Work-Life Balance

  • AWS values flexibility and support, helping you succeed at both work and home.


About AWS Professional Services (ProServe)

AWS ProServe is a global team that partners with customers and the AWS Partner Network to deliver cloud solutions tailored to unique business goals. We offer strategic guidance and implementation support across industries and technologies.


Accessibility & Accommodations

AWS provides reasonable accommodations for applicants with disabilities during the hiring and onboarding process. For more information, visit:


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