AI/ML Technical Architect

2 days ago

Bengaluru, Karnataka, India Arting Digital Private Limited Full time US$ 1,50,000 - US$ 2,00,000 per year

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

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