Tech Lead - Machine Learning (ML)
About the role
The Tech Lead - Machine Learning (ML) will support the bank's AI and Data Science initiatives by leading the design and architecture of scalable ML systems. The role involves mentoring the ML team, overseeing the full lifecycle of model development and deployment, and ensuring high engineering standards. The position requires hands-on experience in ML, technical leadership, and the ability to manage projects and communicate with stakeholders. The company, ORYSYS Limited, values diversity and is committed to equal opportunity employment.
Must have
- Bachelor's degree in Computer Science, IT, or a related discipline.
- 6+ years of work experience in a hands-on ML-related role.
- Previous roles: Tech Lead - ML, Senior Tech Lead - ML, or similar technical lead role.
- Programming: Python
- MLOps: MLflow, Kubeflow, SageMaker, Airflow
- DevOps/Infra: Docker, Kubernetes, Terraform
- ML/AI Frameworks: TensorFlow, PyTorch, Scikit-learn
- Cloud Platforms: AWS, GCP, Azure, internal DC platform
- Governance: Model cards, XAI tools, differential privacy
- Data Engineering: Spark, Kafka, SQL, BigQuery, Snowflake
- AI & DS Technical Architect Skills
- Ability to fit into the Combank organization & IT culture.
- Curiosity and ability to learn new areas quickly.
- Excellent attention to detail and analytical skills.
- Ability to work independently and collaboratively in a team-oriented environment.
- Leadership & Mentorship: Ability to guide a team, provide mentorship, and foster collaboration.
- Project Management Skills: Experience in senior engineering roles, managing timelines, estimating tasks, and stakeholder communication.
- Stakeholder Communication: Act as a bridge between technical teams and business/product stakeholders, translating requirements into technical solutions.
Nice to have
- Experience in the finance domain is an added advantage.
- Project experience in large-scale applications, legacy system support, ML model monitoring and governance, and IT modernization within an enterprise environment.
Technologies
- Airflow
- AWS
- Azure
- BigQuery
- Data Engineering
- Data Science
- DevOps
- Docker
- GCP
- Kafka
- Kubeflow
- Kubernetes
- Machine Learning
- MLflow
- MLOps
- Python
- PyTorch
- SageMaker
- scikit-learn
- Snowflake
- Spark
- SQL
- TensorFlow
- Terraform
Highlights
The employer is ORYSYS Limited. The role supports banking and finance-related AI/ML initiatives. The company is an equal opportunity employer and recruitment decisions are based solely on suitability. By applying, candidates consent to the collection and processing of personal information for recruitment purposes.
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