AI/ML Technical Architect

1 day ago

Bengaluru, Karnataka, India Arting Digital Full time

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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