Lead AI Engineer

Job Description

The role champions the adoption of Databricks, Azure, and modern AI frameworks to accelerate intelligent automation, enable actionable insights, and embed innovation across the organisation, positioning AI as a driver of enterprise strategy and long-term value creation.

In this role you will,

• Design, develop, and deploy end-to-end AI and Machine Learning solutions that deliver measurable business value, improve operational efficiency and enhance customer outcomes.
• Apply advanced machine learning, deep learning, and generative AI techniques including but not limited to NLP, transformer models, and LLM fine-tuning to generate actionable insights and intelligent automation that improve decision making and service reliability.
• Accelerate innovation and experimentation through enterprise data platforms such as Databricks, MLflow, and Delta Lake, or equivalent technologies, to enable rapid prototyping and faster delivery of AI driven value.
• Leverage cloud-based AI and ML platforms (e.g., Azure AI Services, Azure OpenAI, or other platforms) to develop and deploy models at scale ensuring performance, scalability and resilience.
• Support the integration of AI models into enterprise applications and data workflows to enhance business intelligence, automation and customer experience.
• Optimise models for performance, scalability, and accuracy in distributed environments delivering efficient and cost-effective AI systems capable of handling enterprise scale workloads.
• Apply DevOps and Infrastructure-as-Code practices (e.g., Docker, Kubernetes, CI/CD) to automate deployment processes reducing manual effort and operational risk.
• Ensure all AI solutions comply with data governance, ethics, and responsible AI principles ensuring AI practices meet ethical, privacy and security standards.

What you’ll need to succeed

• Minimum 6 – 8 years experience in Software and Data Engineering using Python and TypeScript
• Demonstrated experience in Databricks Machine Learning, including MLflow, AutoML, Delta Lake, and Spark
• Deep hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Proven capability in MLOps practices, including model tracking, deployment, monitoring, and CI/CD pipelines
• Proficiency with cloud platforms, preferably Azure, and Databricks Lakehouse architecture including Unity Catalog
• Experience working with Transformer-based and Generative AI models, including LLMs, LangChain, LlamaIndex, and Semantic Kernel
• Advanced skills in Data Engineering and large-scale data processing using Delta Lake, Spark, and PySpark
• Strong DevOps and Infrastructure-as-Code expertise with Docker, Kubernetes, AKS, Terraform, and CI/CD

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#GraphicDesignJobsOnline

#WebDesignRemoteJobs #FreelanceGraphicDesigner #WorkFromHomeDesignJobs #OnlineWebDesignWork #RemoteDesignOpportunities #HireGraphicDesigners #DigitalDesignCareers# Dynamicbrand guru