AI Engineer

Reverside is an established IT services provider delivering
high-quality Software Development, IT Resourcing, Digital Transformation, and Systems Support solutions. We are always looking for skilled professionals to
join our growing team and contribute to innovative technology projects across
various industries. We are seeking an experienced AI Engineer to design, build,
deploy, and maintain enterprise AI and machine-learning solutions.

The role focuses on AI Engineering, MLOps, LLMOps, Databricks, cloud platforms, and scalable AI architectures, covering the full
AI product lifecycle from data preparation and model development through to
deployment, monitoring, governance, and optimisation.

Key Responsibilities:

•  Design and develop scalable AI/ML and LLM solutions.
  
• Build MLOps and LLMOps pipelines using
  Databricks, MLflow, Delta Lake, and Spark.
  
• Develop and deploy machine learning models and
  AI applications in production environments.
  
• Build RAG, LLM, agentic, and multi-modal AI
  solutions.
  
• Develop feature engineering, data pipelines,
  model-serving, and inference solutions.
  
• Implement CI/CD, monitoring, governance,
  security, and responsible AI practices.
  
• Develop prompts, agents, tools, chains, and AI
  workflows with appropriate guardrails.
  
• Build and optimise vector search and retrieval
  solutions.
  
• Monitor model performance, costs, quality, and
  scalability.
  
• Collaborate with Data Engineering, Data Science,
  business, and clinical stakeholders.
  
• Provide technical leadership and mentoring to AI
  and data teams.
  

• 7–10 years' AI / Machine Learning Engineering
  
• Python & SQL
  
• Databricks & MLflow
  
• MLOps & LLMOps
  
• Apache Spark & Delta Lake
  
• Cloud & Distributed Data Platforms
  
• Machine Learning & Feature Engineering
  
• RAG & LLM Applications
  
• LangChain / AI Agents
  
• Prompt Engineering
  
• Vector Search & Embeddings
  
• Model Serving & Deployment
  
• AI/ML Monitoring & Governance
  
• Big Data & Data Pipelines
  

Advantageous Skills:

• Mosaic AI
  
• Unity Catalog
  
• AWS / Azure Kafka / Hadoop
  
• Healthcare / Clinical Data
  
• Responsible AI & Model Governance
  
• Power BI / Tableau / Kibana
  

Qualifications:

• Honours, Master's, or PhD in Data Science,
  Statistics, Computer Science, Engineering, Mathematics, or related field.
  
• Relevant certifications in Python, AWS,
  Microsoft, Machine Learning, Databricks, Big Data, or Cloud technologies.
  

Core Competencies: 

• Strong analytical and problem-solving skills
  
• AI solution architecture and engineering
  
• Strong communication and stakeholder engagement
  
• Business and technical problem-solving
  
• Ability to work in Agile environments
  
• Technical leadership and mentoring  
  
• Strong understanding of AI governance, security,
  and responsible AI