Senior Machine Learning Architect

r3 Consultant; Coimbatore District; On-site; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary

Flexible working hours

Health insurance

Job summary

A leading consulting firm based in Coimbatore is seeking a Senior Cloud AI/ML Architect to leverage generative AI and machine learning for innovative solutions. You will collaborate with diverse teams, design AI systems, and deliver technical demonstrations to stakeholders. The ideal candidate has a strong background in AI technologies, extensive experience with AWS services, and excellent communication and presentation skills. This role contributes to exciting projects that promise substantial impact in various industries.

Qualifications

• 10+ years of experience in applications and infrastructure.
• Strong knowledge of AWS services like SageMaker, Glue, Redshift.
• Experience conveying complex AI/ML concepts to stakeholders.

Responsibilities

• Collaborate with teams to define and scope AI/ML use cases.
• Design AI solutions that transform business capabilities.
• Prototype innovative AI solutions across various industries.

Skills

Generative AI

Machine Learning

Python

Collaboration

Presentation skills

Education

10+ years in design or consulting

AWS Certified Solutions Architect – Associate

AWS Certified Machine Learning – Specialty

Tools

AWS SageMaker

TensorFlow

PyTorch

Job description

Description

we’re looking for Engineers and Architects capable of using generative AI and other ML techniques

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:

• Collaborate with AWS Account Managers, solutions architects, and customers to define and scope
  
  

AI/ML use cases.

• 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
  
  

company.

• Prototype and validate innovative AI solutions across diverse industry verticals
  
  

About The Team

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
  
  

experience (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
  
  

(e.g. SageMaker, Inference, MLOps, ETL, S3, Glue, Redshift, Athena, Bedrock, Lake

Formation)

• Strong experience in applying machine learning models for business application with a
  
  

performance and cost optimized mindset

• Strong programming skills in Python, TypeScript, Java or related language
• Strong understanding of AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn,
  
  

Keras

• 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
  
  

formats

• Deep understanding of generative AI technologies and large language models
• Portfolio showcasing innovative AI/ML solutions
  
  

Preferred Soft Skills

Collaboration 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:

• 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:

• Demonstrated ability to tackle unique, never-before-solved challenges with innovative AI/ML
  
  

solutions.

• Adept at understanding and addressing customer business problems through tailored AI solutions.
  
  

Adaptability and Continuous Learning:

• 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
  
  

machine learning.

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
  
  

capabilities.

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)