Description

You will lead the design, architecture, and deployment of machine learning solutions from initial concept through to production.

Responsibilities

• Operationalize AI by mapping business requirements to technical implementations and selecting appropriate technologies.
• Design and set up AI/ML processing environments within the existing IT landscape and integration infrastructure.
• Audit AI solutions for scalability, security, and architectural integrity within cloud-first enterprise environments.
• Evaluate technologies based on functional and non-functional requirements, including security, usability, and stability.
• Ensure modularity in component selection to allow for seamless replacement without downtime.

Required Skills

• 10+ years of experience architecting and deploying machine learning solutions that deliver business value.
• Deep knowledge of statistical methods including Linear/Logistic Regression, Time Series Analysis, Clustering, and PCA.
• Expertise in ML techniques such as Random Forest, SVM, and Gradient Boosting/XGBoost.
• Experience with Deep Learning, specifically RNNs, CNNs, and Transformer architectures for NLP and Computer Vision.
• Hands-on experience with Generative AI, including RAG, Agentic Workflows, Graph RAG, and Model Tuning.
• Proficiency in data preprocessing, feature engineering, EDA, and data visualization.
• Extensive experience with MLOps, Cloud Security, and Cloud Computing.
• Proven ability to mentor technical teams and translate complex requirements into technical roadmaps.
• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.

Preferred Skills

• Experience with Domain Driven Design and implementing automation strategies in large-scale organizations.
• Ability to manage multiple large-scale technology initiatives concurrently.

Key Skills

Education

BACHELOR OF COMPUTER SCIENCE