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Arting Digital
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AI/ML Technical Architect

AI/ML Technical Architect

Arting Digital

10 years

0 Lacs

Noida Uttar Pradesh India

Posted:1 month ago| Platform:

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Skills Required

ai ml scaling learning devops stack engineering data leadership development scalability reliability pipeline design management model training deployment testing tuning optimization kubernetes docker kibana aws azure dynamodb mongodb postgresql integrity security collaboration architecture python sql microservices communication certifications

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title :

AI/ML Technical Architect (Creative Cloud)

Location :

Bangalore / Noida

Work Mode :

Hybrid

Experience :

10+ years

Notice Period :

Immediate joiners to 15 days.

Job Overview

We are seeking an experienced AI/ML Technical Architect with a strong background in designing and scaling AI platforms and delivering enterprise-grade solutions. The ideal candidate will have deep expertise in Machine Learning, Large Language Models (LLMs), LLMOps, and DevOps practices, along with proven full-stack skills in AI engineering, cloud platforms, and data systems. This role demands hands-on technical leadership to architect and implement innovative AI-driven solutions within a hybrid work environment.

Key Responsibilities

AI Platform Development & Scalability :

Architect and build scalable AI platforms tailored to business and customer needs.
Ensure high availability, reliability, and performance of AI solutions.
Collaborate with stakeholders to evangelize platform adoption and innovation.

Machine Learning & Pipeline Design

Design and implement ML pipelines for experiment management, model training, deployment, and retraining.
Build and optimize APIs for model inferencing at scale.
Conduct A/B testing and ensure continuous improvement of models.

LLM Expertise

Lead in the design, fine-tuning, and optimization of LLMs to improve accuracy and reduce latency.
Implement distributed training and serving of large language models.
Evaluate and recommend LLM models for specific business use cases.

LLMOps & DevOps Practices

Implement LLMOps best practices using frameworks such as LangChain, LangGraph, LangFlow, and Flowise.
Manage deployments using Kubernetes, Docker, and container orchestration.
Monitor and optimize systems using tools like Prometheus, Grafana, Kibana, and FluentD.

Cloud & Data Systems

Design and manage AI solutions across major cloud platforms (AWS, Azure, GCP).
Work with a variety of databases and data warehouses such as DynamoDB, MongoDB, RDS, PostgreSQL, and BigQuery.
Ensure data integrity, scalability, and security in AI/ML implementations.

Leadership & Collaboration

Provide technical leadership and mentorship to engineering teams.
Partner with cross-functional stakeholders to align solutions with business goals.
Deliver end-to-end solutions from architecture design to production deployment.

Required Skills & Qualifications

10+ years of professional experience in AI/ML engineering and architecture.
Proven expertise in scaling AI platforms and designing ML pipelines & APIs.
Strong proficiency in LLMs, including fine-tuning, distributed training, and optimization.
Solid experience with LLMOps and DevOps tools & practices.
Proficient in Python, SQL, and JavaScript.
Hands-on experience with cloud platforms: AWS, Azure, GCP.
Strong understanding of modern data systems and microservices architectures.
Excellent leadership, problem-solving, and communication skills.

Preferred Certifications (Bonus)

AWS Professional Solution Architect
AWS Machine Learning Specialty
Azure Solutions Architect Expert

(ref:hirist.tech)

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AI/ML Technical Architect