AI/ML Engineer

We are seeking an AI/ML Engineer to design, develop, and deliver AI-powered enterprise solutions. The role covers Agentic AI platforms, Retrieval-Augmented Generation (RAG), recommendation engines, predictive analytics, workflow automation, and enterprise knowledge management. The successful candidate will combine software engineering, machine learning, and Generative AI expertise to build reliable, production-ready services integrated with enterprise systems.

Key Responsibilities:

Generative AI & Agent Development:

• Develop AI agents using modern Agentic AI frameworks and Dify.
• Build and optimise RAG solutions, including document ingestion, retrieval, vector search, and response generation.
• Design agent orchestration and tool-calling workflows to support enterprise use cases.
• Implement prompt engineering, agent memory, reflection, and evaluation capabilities.
• Develop AI-powered workflow automation and enterprise knowledge management solutions.

Machine Learning & Predictive Analytics:

• Develop machine learning models for recommendation systems, classification, ranking, and predictive analytics.
• Prepare and analyse data, engineer features, and evaluate model performance.
• Train and optimise models using Scikit-learn, XGBoost or LightGBM, and TensorFlow or PyTorch.

Engineering, Integration & Deployment:

• Build production-ready AI services and REST APIs using Python.
• Integrate AI solutions with enterprise data sources, repositories, and applications.
• Containerise and deploy solutions using Docker, Kubernetes, and OpenShift Container Platform (OCP).
• Implement and maintain CI/CD pipelines and manage source code using Git.

Monitoring & Evaluation:

• Implement monitoring, observability, and model evaluation frameworks.
• Assess retrieval quality, response accuracy, model performance, and service reliability.
• Troubleshoot issues and improve solution performance, scalability, and maintainability.
• Maintain technical documentation covering architecture, integrations, deployment, and operations.

Mandatory Requirements:

Programming & Integration:

• Hands-on proficiency in Python and SQL.
• Experience developing and integrating REST APIs.

Machine Learning:

• Practical experience with Scikit-learn.
• Experience with XGBoost or LightGBM.
• Experience with TensorFlow or PyTorch.
• Ability to develop and evaluate models for recommendation, classification, ranking, or predictive analytics.

Generative AI:

• Hands-on experience building RAG solutions and implementing vector search.
• Experience developing LLM applications.
• Practical experience using Dify.
• Experience developing agents using Agentic AI frameworks.
• Understanding of agent orchestration, tool calling, prompt engineering, memory, reflection, and evaluation.

Cloud & DevOps:

• Hands-on experience with OpenShift Container Platform (OCP), Docker, and Kubernetes.
• Experience implementing or maintaining CI/CD pipelines.
• Proficiency in Git and collaborative development workflows.

To apply,simply click the "Apply" button or send your updated profile to [email protected] 

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

Skills

Machine Learning, Retrieval-Augmented Generation (RAG), LightGBM, Workflow Automation, Analytical Capability, AI Agents, scikit-learn, Develop Recommendations, Classification, PyTorch, Workflow Orchestration, Generative AI, Rest Apis, SQL Development, Programming, Ranking