AI Engineer designing and deploying enterprise - scale AI systems in the Innovation team of Client Data & Analytics platform. Driving innovation through Generative AI solutions while ensuring security and governance standards.
GS
Hybrid Machine Learning Engineer, AI – Mid Level
Posted 2 hours ago
About the role
- Machine Learning / AI Engineer in a consulting firm, developing AI models and enhancing GovHorizon platform. Collaborating with teams to operationalize AI and ensure model performance.
Responsibilities
- Build, train, and optimize Machine Learning and AI models for strategic use cases such as regulatory forecasting, text analysis, and predictive intelligence
- Prepare, clean, and validate data, performing feature engineering to ensure high-quality model inputs
- Collaborate with engineering teams to deploy models into production using APIs and MLOps pipelines
- Monitor model performance and implement automated retraining, drift detection, and performance metrics
- Document model workflows, architectures, and experimental results
- Contribute to the definition and implementation of MLOps practices and model lifecycle management tools
Requirements
- 3–5 years of experience in Machine Learning, Data Science, or AI Engineering roles
- Strong proficiency in Python and Machine Learning libraries such as scikit-learn, TensorFlow, PyTorch, or equivalent
- Knowledge of data pipelines, ETL/ELT processes, and orchestration frameworks such as Airflow or Kubeflow
- Experience with cloud-based ML services and deployment platforms, such as Azure Machine Learning, Databricks, AWS SageMaker, or GCP Vertex AI
- Solid understanding of model performance metrics, validation techniques, and result evaluation
Benefits
- Health and life insurance
- 25 days of annual leave
- Support for professional development, training, and certifications
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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