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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and production deployment of AI/ML solutions from ideation through PoC, pilot, and production stages.
Design and implement cloud-native architectures using microservices, APIs, Docker, Kubernetes, and CI/CD for scalable, cost-optimized AI systems.
Translate complex business problems into scalable technical AI solutions while ensuring observability, deployment strategy, and cloud security compliance.
Minimum Requirements
Bachelor's or Master's degree in Engineering, Computer Science, AI/ML, or related field.
7+ years of experience in product development, R&D, or advanced technology roles.
Technical expertise in cloud platforms (AWS/GCP/Azure), microservices, Docker, Kubernetes, Python, SQL, AI/ML frameworks, GenAI, LLMs, RAG, vector databases, and MLOps.
Experience with 12-factor apps, serverless design, autoscaling, high availability, deployment strategies (blue/green, canary), and cloud security standards.
Ideal Candidate Profile
Proven track record of taking AI/ML concepts from ideation through production at scale in cloud-native environments.
Experienced in mentoring engineers and navigating high-ambiguity, fast-evolving technology projects.
Strong communicator with ability to align technical AI solutions with business needs and operational goals.