AI Engineer at Endava

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, Machine Learning, Deep Learning, Cloud-Based ML Solutions, Python, ML Frameworks, Large Language Models, Prompt Engineering, Data Manipulation, MLOps, Containerization, Google Cloud Platform, Agentic AI, SQL, Pandas, NumPy

Industry

IT Services and IT Consulting

Description

Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. 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 that 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 Discover some of the global benefits that empower our people to become the best version of themselves: 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.

Responsibilities

Design and develop AI solutions that address complex business challenges. Own the full model lifecycle, including deployment and performance monitoring.