AI/ML Technical Architect

3 weeks ago

Noida India Arting Digital 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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