Senior Machine Learning Architect
Actively Reviewing the Applicationsr3 Consultant
India
Full-Time
On-site
INR 20–35 LPA
Posted 18 hours ago
•
Apply by June 15, 2026
Job Description
Description
we’re looking for Engineers and Architects capable of using generative AI and other ML techniques
to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
As a Senior Cloud AI/ML Architect, you'll partner with technology and business teams to build
solutions that surprise and delight our customers. You will work directly with customers and
innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Key job responsibilities:
Aivar helps AWS customers accelerate the use of AI/ML, Generative AI and realize transformational
business opportunities. The cross-functional team consists of ML scientists, engineers, architects,
and strategists working step-by-step with customers to build bespoke solutions.
Preferred Technical Qualifications
security, networking, data & analytics)
Formation)
Collaboration Skills:
Exceptional Communication:
Innovative Problem-Solving:
Leadership and Mentorship:
Certifications
we’re looking for Engineers and Architects capable of using generative AI and other ML techniques
to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
As a Senior Cloud AI/ML Architect, you'll partner with technology and business teams to build
solutions that surprise and delight our customers. You will work directly with customers and
innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Key job responsibilities:
- Collaborate with AWS Account Managers, solutions architects, and customers to define and scope
- Understand customer business problems and assist in implementing AI solutions,
- including generative AI
- Develop and deliver compelling technical demonstrations for business and technical leaders
- Design and architect state-of-the-art AI/ML solutions that transform business capabilities
- Extract and share best practices, reference architectures, and patterns for reuse within the
- Prototype and validate innovative AI solutions across diverse industry verticals
Aivar helps AWS customers accelerate the use of AI/ML, Generative AI and realize transformational
business opportunities. The cross-functional team consists of ML scientists, engineers, architects,
and strategists working step-by-step with customers to build bespoke solutions.
Preferred Technical Qualifications
- 10+ years of design, implementation, or consulting in applications and infrastructure
security, networking, data & analytics)
- Experience using managed AI/ML services and solutions
- Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services
Formation)
- Strong experience in applying machine learning models for business application with a
- Strong programming skills in Python, TypeScript, Java or related language
- Strong understanding of AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn,
- Demonstrated track record of learning emerging AI/ML and Generative AI technologies
- Experience working across varied business environments (enterprises, startups)
- Experience conveying complex subject matter to customers and stakeholders in written and verbal
- Deep understanding of generative AI technologies and large language models
- Portfolio showcasing innovative AI/ML solutions
Collaboration Skills:
- Proven ability to work effectively with diverse teams, including AWS Account Managers,
- Experience fostering partnerships in varied business environments, such as enterprises and
Exceptional Communication:
- Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders.
- Strong presentation skills, with a track record of delivering compelling technical demonstrations
Innovative Problem-Solving:
- Demonstrated ability to tackle unique, never-before-solved challenges with innovative AI/ML
- Adept at understanding and addressing customer business problems through tailored AI solutions.
- Capacity to learn and apply emerging AI/ML technologies in a fast-paced, evolving environment.
- Proven ability to stay updated with the latest trends and advancements in generative AI and
Leadership and Mentorship:
- Experience mentoring team members and fostering a culture of innovation and excellence.
- Ability to extract and share best practices, reference architectures, and patterns to improve team
Certifications
- AWS Certified Solutions Architect – Associate
- AWS Certified Solutions Architect – Professional
- AWS Certified Developer – Associate (optional)
- AWS Certified Machine Learning – Specialty
- AWS Certified Data Analytics – Specialty
- AWS Certified AI Practitioner (optional but valuable)
- AWS Certified Database – Specialty (optional but valuable)
- AWS Certified Security – Specialty (optional but valuable)
Required Skills
Communication
Machine Learning
Engineering
Networking
Leadership
Python
AWS
TypeScript
TensorFlow
PyTorch
Scikit-learn
MLOps
Keras
ETL
Data Analytics
Cloud Computing
Mentoring
Continuous Learning
Analytics
Athena
Systems Engineering
Consulting
Art
Generative
BedRock
Large Language Models
Presentation
Sagemaker
Machine learning models
Inference
ML Frameworks
Java
AWS Services
Mentorship
Generative AI
Computing
RedShift
Glue
AI/ML
SciKit
Prototype
Serverless
Extract
Industry Verticals
Innovate
Cross-Functional Team
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