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Job Description
Structured overview of role & requirementsAbout This Role
Lead development, fine-tuning, and deployment of AI models, including large language models like GPT-4, with measurable impact on enterprise AI solutions.
Design and implement prompt engineering and optimizations, build and maintain data pipelines, integrating AI securely with enterprise platforms via APIs in cloud environments (Azure/AWS/GCP).
Apply DevOps/MLOps for AI lifecycle management, ensure AI solutions meet security, privacy, compliance standards, and collaborate with stakeholders to align AI technologies to business needs.
Minimum Requirements
4-6 years of advanced experience in developing, deploying, and maintaining AI/ML solutions in enterprise environments.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
Advanced proficiency in Python programming and experience with AI model development, prompt engineering, API integration, and cloud deployments (Azure, AWS, or GCP).
Workplace Type: Hybrid working; Advanced knowledge of security, compliance, and ethical AI considerations required.
Ideal Candidate Profile
Deep technical expertise in AI model fine-tuning and prompt engineering with operational experience delivering enterprise AI pilots and scalable solutions.
Experience working in fast-paced, hybrid environments aligning AI with business processes and client requirements, demonstrating strong cross-functional collaboration.
Strong strategic orientation combining AI technical skills with business acumen to deliver measurable outcomes and maintain compliance and ethical standards.