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Senior niche ML/AI role at a mid-tier firm; remote option broadens but seniority limits applicant pool.
Requires deep ML/AI architecture and MLOps expertise, limiting transferability to non-AI backgrounds.
Explicit 13+ years requirement and deep ML/AI, architecture, and MLOps mandates make filters very strict.
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Translate client business use cases into technical AI/ML design that meets functional and non-functional requirements.
Design and develop end-to-end AI/ML solutions including architecture, frameworks, benchmarks, and deployment using cloud infrastructure.
Review and guide architectural decisions ensuring scalability, security, extensibility, and adherence to best practices.
13+ years of total work experience.
Strong expertise in AI/ML solution design, especially in NLP, machine vision, and large language models (LLMs).
Proficiency in programming languages such as Python, Dotnet, and Java; experience with databases like SQL, MySQL, Oracle.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced in designing and deploying large-scale AI/ML systems on cloud infrastructure with focus on scalable real-time/batch inference and MLOps.
Capability to architect multi-agent AI systems, understand and apply generative AI frameworks like GANs, VAEs, and retrieval-augmented generation (RAG).
Strong strategic thinker able to align technical AI architecture with diverse business requirements, defining success metrics and ensuring responsible AI practices.