Senior Machine Learning Architect

r3 Consultant; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

An innovative consulting firm is seeking a Senior Cloud AI/ML Architect to spearhead projects using generative AI technologies. You will collaborate with clients and technology teams to deliver transformative AI solutions, leveraging your extensive experience to design cutting-edge applications and address unique challenges. This role offers a dynamic environment for those ready to make a substantial impact.

Qualifications

• 10+ years in applications & infrastructure design, software development, or systems engineering.
• Strong knowledge of AI/ML AWS services and frameworks.
• Experience fostering partnerships in diverse business environments.

Responsibilities

• Collaborate with stakeholders to define AI/ML use cases.
• Design and architect AI/ML solutions that transform business capabilities.
• Develop compelling technical demonstrations for leaders.

Skills

AI/ML solutions

Cloud computing

Programming in Python

Communication

Problem solving

Leadership

Education

AWS Certified Solutions Architect – Associate

AWS Certified Solutions Architect – Professional

AWS Certified Data Analytics – Specialty

AWS Certified AI Practitioner

AWS Certified Database – Specialty

AWS Certified Security – Specialty

Job description

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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:

1. Collaborate with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases.
2. Understand customer business problems and assist in implementing AI solutions.
3. Develop and deliver compelling technical demonstrations for business and technical leaders.
4. Design and architect state-of-the-art AI/ML solutions that transform business capabilities.
5. Extract and share best practices, reference architectures, and patterns for reuse within the company.
6. Prototype and validate innovative AI solutions across diverse industry verticals.

Preferred Technical Qualifications:

• 10+ years of experience in applications and infrastructure design, implementation, or consulting (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Experience using managed AI/ML services and solutions.
• Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services.
• Strong experience in applying machine learning models for business applications with a performance and cost-optimized mindset.
• Strong programming skills in Python, TypeScript, Java, or related languages.
• Deep 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).
• Ability to convey complex subject matter to customers and stakeholders in written and verbal communication.
• Deep understanding of generative AI technologies and large language models.

Preferred Soft Skills:

• Proven ability to work effectively with diverse teams, including AWS Account Managers, solutions architects, and customers.
• Experience fostering partnerships in varied business environments, such as enterprises and startups.
• Exceptional communication skills, 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 for business leaders.
• Innovative problem-solving skills, demonstrating ability to tackle unique, never-before-solved challenges with AI/ML solutions.
• Adaptability and continuous learning, with capacity to stay updated with latest trends in generative AI and machine learning.
• Leadership and mentorship experience, fostering a culture of innovation and excellence, and sharing best practices and reference architectures.

Certifications:

• AWS Certified Solutions Architect – Associate
• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty
• AWS Certified AI Practitioner (optional but valuable)
• AWS Certified Database – Specialty (optional but valuable)
• AWS Certified Security – Specialty (optional)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Information Services and Technology
• Information and Media