Artificial Intelligence Engineer - Machine Learning

Position Overview :

In this role, you will spearhead the design, development, and optimization of both traditional machine learning systems and LLM-based applications. Youll partner with enterprise stakeholders to translate complex business challenges into AI-driven solutions, ensuring models perform reliably in production and deliver tangible ROI.

You will also lead MLOps initiatives building automated pipelines for model training, deployment, monitoring, and evaluation and implement best practices for inference optimization, cost efficiency, and continuous quality assurance. This position offers the opportunity to shape AI engineering standards and advance cutting-edge capabilities at scale.

Key Responsibilities :

• Design and implement traditional ML and LLM-based systems to deliver scalable AI solutions
• Optimize model inference for performance and cost-efficiency across cloud platforms
• Fine-tune foundation models using LoRA, QLoRA, and adapter layers to meet client specifications
• Develop and apply prompt engineering strategiesincluding few-shot learning, chain-of-thought, and RAG frameworks
• Architect and build robust backend infrastructure (APIs, microservices) to support AI-driven applications
• Implement and manage end-to-end MLOps pipelines, automating model training, deployment, and monitoring
• Design continuous monitoring and evaluation systems to ensure model accuracy, performance, and compliance
• Create automated testing frameworks and CI / CD pipelines to guarantee model quality and reliability

Critical Success Factors :

Education and Experience :

Essential Skills and Competencies :

Technical Skills :

Soft Skills :

Behavioural Strengths :

Leadership Skills :

(ref : hirist.tech)