Technical Architect - Artificial Intelligence/Machine Learning

10 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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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 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 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 & 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 & 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 & 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 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 Certifications (Bonus) :
  • AWS Professional Solution Architect
  • AWS Machine Learning Specialty
  • Azure Solutions Architect Expert
(ref:hirist.tech)

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