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Remote/hybrid option, Bangalore metro, recognizable brand, but specialized AI skills produce moderate competition.
High because deep ML, MLOps, and LLM expertise required, limiting cross-industry transferability.
High due to explicit 10+ years overall, 3+ years AI hands-on, plus mandatory MLOps/LLM/cloud skills.
Design, build, and optimize AI-first systems and solutions for clients, enhancing digital capabilities.
Provide technical leadership and mentorship to a multidisciplinary AI team, ensuring code quality and robust architecture.
Collaborate with stakeholders to identify AI business opportunities and translate them into innovative AI solutions.
10+ years of overall work experience with at least 3 years in AI engineering.
Proficiency in Python programming and knowledge of software engineering best practices (source control, CI/CD, automated testing).
Familiarity with cloud AI services such as Azure Machine Learning, AWS SageMaker, or Google AI Platform.
Location: Bengaluru (Full Time) with flexibility for remote/hybrid work depending on country.
Experienced leader skilled in managing and mentoring multidisciplinary AI teams in an agile environment.
Strong understanding of AI concepts like LLMs, RAG, AgenticAI, MCPs, and up-to-date with latest AI research and technologies.
Hands-on experience with MLOps, model deployment, monitoring, automation of AI workflows, and responsible AI practices.