What are the responsibilities and job description for the AI/ML Engineer position at Strategic Resources International?
Key responsibilities
Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production.
Develop ML pipelines, feature stores and serving infrastructure; monitor model performance and drift.
Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows.
Translate ambiguous business problems into well-scoped, measurable AI solutions.
Skills
Python SQL AWS
Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).
LLM / GenAI, RAG, prompt engineering, vector databases.
MLOps tooling (MLflow, Kubeflow, model registries).
Healthcare data and clinical NLP experience