About the Role

The Sr. AI ML Consultant works with AWS customers to design, implement, and manage complex, scalable, and secure AWS AI/ML solutions. This senior role involves providing technical guidance, acting as a trusted advisor on industry trends, and leading implementation projects to meet customer business objectives.

Key Responsibilities

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Collaborating with stakeholders to gather requirements and propose effective migration strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Required Skills & Qualifications

Must Have:

• 10+ years of IT platform implementation in a technical and analytical role
• Experience in external enterprise customer-facing role as a technical lead with strong communication skills
• 5+ years experience handling large datasets and strong software development skills
• 3+ years experience as a ML practitioner with hands-on implementation of ML systems
• Hands on experience with building, validating and deploying GenAI models
• Proficiency in Python and one additional language (Java, C#)

Nice to Have:

• 3+ years technical experience with AWS AI/ML Technology stack and Generative AI trends
• Experience serving ML models through realtime APIs and deploying production-grade ML solutions on public cloud
• Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing
• AWS experience with proficiency in a wide range of AWS services
• AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
• Strong communication skills to explain technical concepts to both technical and non-technical audiences

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth opportunities with knowledge-sharing resources
• Work/life balance with flexible working culture