Loading...
Entry LevelFull-timePythonDockerMachine LearningCI/CDGitAIMLNLP
Salary Range
$36,720 - $49,680 /year
This salary is estimated based on similar roles. The actual salary may vary.
As an AI Engineer who bridges traditional machine learning and modern generative / agentic AI. This role involves designing, building, and deploying end-to-end AI solutions including classical ML models, RAG-based applications, and lightweight agentic workflows. The successful candidate will contribute hands-on to client delivery projects, applying strong Python engineering and statistical rigor to develop scalable AI solutions that work reliably in production environments.
What will you do?
AI / ML Model Development & Deployment
• Design, build, and deploy end-to-end ML models including classification, regression, time-series, and NLP models.
• Integrate ML models into production systems and applications.
• Monitor model performance and conduct analysis to detect data drift, quality issues, and opportunities for improvement.
Generative AI & RAG Application Development
• Develop GenAI applications including RAG pipelines, prompt-engineered chatbots, and lightweight agentic workflows using frameworks such as LangChain, LlamaIndex, LangGraph, or Python.
• Implement effective RAG architectures including chunking strategies, embedding selection, vector store configuration (e.g., Qdrant, Milvus, pgvector), and retrieval evaluation.
Software Engineering & Development Practices
• Write clean, maintainable, and production-ready Python code.
• Participate in code reviews and contribute to shared libraries and internal AI platform components.
• Use Git, CI/CD practices, and containerisation tools such as Docker in development workflows.
Collaboration & Delivery
• Work closely with data engineers, MLOps engineers, and client stakeholders to move AI experiments into reliable production deployments.
• Document technical approaches, solution designs, and experimental results clearly.
Research & Innovation
• Stay up to date with the evolving AI landscape and introduce relevant tools, techniques, and best practices to the team.
Free to sign up. Takes 30 seconds.
About NCS3
NCS3 is a forward-thinking technology company specializing in innovative solutions for the digital transformation landscape. Operating at the intersection of cloud computing, data analytics, and cybersecurity, NCS3 provides cutting-edge services to help organizations navigate the complexities of modern IT infrastructure. While the name suggests a focus on core computing systems, the company has established itself as a trusted partner for businesses seeking scalable and secure technological frameworks. Founded in the era of rapid digital evolution, NCS3 leverages its expertise to address the evolving needs of enterprises across various sectors. The company offers a comprehensive suite of products and services, including cloud migration strategies, advanced data management tools, and robust security protocols tailored to protect sensitive information. Key features of NCS3’s offerings include seamless integration with existing systems, customizable solutions to meet specific business requirements, and a commitment to compliance with industry standards. Their target audience primarily consists of mid-to-large enterprises in finance, healthcare, and manufacturing, where reliability and data integrity are paramount. By focusing on practical, results-driven approaches, NCS3 ensures its clients achieve operational efficiency and competitive advantage. NCS3 has distinguished itself through notable achievements, such as securing partnerships with global technology leaders and receiving recognition for its innovative cybersecurity frameworks. The company’s market position is strengthened by its ability to deliver measurable outcomes, combining technical expertise with a deep understanding of client challenges. What sets NCS3 apart is its client-centric philosophy, which emphasizes long-term collaboration and continuous improvement, ensuring that solutions evolve alongside technological advancements and business needs.
