AI Engineer

Endava; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking an AI/ML Engineer to design and deploy advanced AI solutions. The successful candidate will leverage Google’s Vertex AI ecosystem and develop sophisticated machine learning models. Ideal applicants should have extensive experience in Python, cloud-based ML solutions, and strong skills in data manipulation. The position offers a competitive salary and supports a hybrid work environment.

Benefits

Competitive salary package

Share plan

Company performance bonuses

Career coaching

Learning opportunities

Hybrid work and flexible hours

Qualifications

• Hands-on experience in building and deploying machine learning models.
• Expert-level proficiency in Python.
• Strong skills in data manipulation and analysis using SQL.

Responsibilities

• Design and deploy AI solutions leveraging Google’s Vertex AI ecosystem.
• Build and fine-tune agentic logic using Google’s Gemini models.
• Write high-quality, efficient code to build and train AI models.

Skills

Machine Learning Algorithms

Deep Learning Frameworks

Python

SQL

Data Manipulation (Pandas, NumPy)

Docker

Kubernetes

Large Language Models

Education

Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, AI

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

Are you passionate about translating complex business challenges into cutting‑edge AI solutions? We’re seeking a hands‑on AI / ML Engineer / Senior Engineer to join our team.

This role is at the cutting edge of applied AI — it’s an opportunity to be a core builder. You will be responsible for designing, developing, and deploying AI agents leveraging Google’s Vertex AI ecosystem and building solutions around sophisticated machine learning models to cutting‑edge Agentic AI for our clients.

The ideal candidate should have hands‑on experience with machine learning algorithms, deep learning frameworks, and cloud‑based ML solutions (preferably on Google Cloud stack).

What You’ll Design & Own

• Design End‑to‑End AI Solutions: Translate complex business problems into scalable, secure, and robust technical architectures. You will be the primary designer for solutions leveraging Agentic AI LLMs and advanced RAG.
• Build and fine‑tune agentic logic using Google’s Gemini models and the Vertex AI platform. Develop sophisticated prompting strategies (e.g. ReAct CoT) and evaluation frameworks.
• Get your hands dirty. Write high‑quality, efficient code to build and train machine learning models and complex AI systems.
• Be a key player in developing innovative Agentic AI solutions, creating systems that can reason, plan, and act on complex tasks.
• Own the full model lifecycle. You will be responsible for deploying models into production environment, monitoring their performance, and iterating (MLOps).

Qualifications

• We are looking for a blend of technical depth, engineering rigor, and creative problem‑solving.
• Hands‑on experience in building and deploying machine learning models.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, AI or a related quantitative field.
• Programming: Expert‑level proficiency in Python.
• ML Frameworks: Deep practical experience with ML libraries like Scikit‑learn, TensorFlow, and/or PyTorch and ML algorithms like classification, regression, clustering, reinforcement learning.
• GenAI & Agentic AI: Demonstrable experience with Large Language Models (LLMs), prompt engineering, and frameworks like LangChain, LlamaIndex or similar.
• Data Stack: Strong skills in data manipulation and analysis using SQL, Pandas, and NumPy.
• Deployment & MLOps: Understanding of MLOps principles. Hands‑on experience with containerization (Docker, Kubernetes) and deploying models as scalable APIs (e.g. FastAPI, Flask).
• Cloud Experience: Experience building and deploying solutions on at least one major cloud platform (GCP ‑ Preferred, AWS, or Azure).

Desirable Skills

• Experience designing multi‑agent systems or autonomous workflows.
• Hands‑on experience with Google Cloud Platform.
• Publications, conference speaking, or open‑source contributions in the AI / agent space.

Additional Information

• Finance: Competitive salary package, share plan, company performance bonuses, value‑based recognition awards, referral bonus.
• Career Development: Career coaching, global career opportunities, non‑linear career paths, internal development programmes for management and technical leadership.
• Learning Opportunities: Complex projects, rotations, internal tech communities, training certifications, coaching, online learning platforms, subscriptions, pass‑it‑on sessions, workshops, conferences.
• Work‑Life Balance: Hybrid work and flexible working hours, employee assistance programme.
• Health: Global internal wellbeing programme, access to wellbeing apps.
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work: No

Employment Type: Full‑time

Vacancy: 1