MRIoA is seeking to leverage AI/ML solutions across the enterprise to improve efficiency, compliance, and scalability, aligning with business goals and compliance standards.
Requirements
- At least 3 years of experience developing and deploying AI/ML models in production environments.
- Experience deploying AI/ML models on cloud platforms (AWS, Azure, or GCP).
- Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, etc.).
- Experience using AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in Python and/or Node.js
- Knowledge of containerization and orchestration (Docker, Kubernetes).
Responsibilities
- Collaborate with business, operations, and technology teams to define solution for AI use cases and align solution delivery timelines.
- Partner with internal teams and third-party vendors to develop AI systems that are efficient, compliant, and scalable.
- Lead rapid prototyping efforts to demonstrate the value of AI/ML applications and inform broader adoption.
- Research, design, and implement machine learning models (supervised, unsupervised, reinforcement learning), including deep learning and NLP.
- Conduct data preparation, cleansing, and feature engineering to support AI/ML workflows.
- Train, validate, and fine-tune models to optimize performance, accuracy, and efficiency.
- Build reusable, production-ready pipelines for AI model deployment using MLOps best practices.
Other
- Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required.
- This role is designed to be a remote position (work-from-home).
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
- All candidates are required to pass a Background Screen before beginning employment.
- Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
