Senior AI Engineer - Machine/Deep Learning

Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Translate research and prototypes into production-ready systems
Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches
Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance
Create reusable tooling to accelerate experimentation, deployment, and monitoring
Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
Partner with platform/DevOps teams to ensure reliability and scalability
Promote responsible AI practices, including governance, fairness, and transparency
Lead cross-functional initiatives across data engineering, analytics, and AI/ML
Translate complex ML concepts into clear recommendations for technical and non-technical audiences
Collaborate with clients and internal teams to plan and deliver AI/ML solutions
Scope and lead complex AI/ML initiatives aligned to business outcomes
5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience
Strong programming skills in Python and SQL; Experience building LLM applications, including RAG, embeddings, and vector search
Experience with cloud platforms (AWS or Azure; SageMaker, Bedrock, Azure ML)
Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
CI/CD, monitoring, retraining, and experiment tracking
Strong software engineering fundamentals (testing, modularity, code review)