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 ArchitectAWS Machine Learning SpecialtyAzure Solutions Architect Expert(ref : hirist.tech)