Data & AI Engineer
Core
Designing, developing, and implementing data, analytics, and AI solutions to support customer digital transformation initiatives.
Role type
Data & AI Engineer
Builds
Data pipelines, AI/ML models, and integrated enterprise solutions
Domain
B2B Technology Sales Channel / Enterprise IT
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Data Engineering, ETL, Machine Learning fundamentals, Large Language Models (LLMs), Generative AI, Prompt Engineering, REST APIs, Git
Preferred skills
Cloud AI services (Azure/AWS/GCP), Databricks, Docker/Kubernetes, Vector Databases, LangChain, TensorFlow/PyTorch
Technologies
Microsoft Azure AI, AWS AI Services, Google Cloud Vertex AI, Databricks, Microsoft Fabric, Power BI, Docker, Kubernetes, Vector Databases, LangChain, Semantic Kernel, TensorFlow, PyTorch
Responsibilities
Design and implement Data and AI solutions for customer projects, Develop and maintain data pipelines and ETL processes, Build and deploy AI and machine learning models, Develop Proof of Concepts (PoCs) and demonstrate AI use cases, Integrate AI solutions with cloud platforms and enterprise applications, Perform data cleansing, transformation, and feature engineering, Develop dashboards, reports, and data visualisations, Conduct solution testing, validation, and performance tuning, Prepare technical documentation and implementation guides, Provide technical support during deployment and post-implementation, Work with technology vendors and partners on solution development
Seniority
Mid-level (2–5 years experience)
