Job Title: Junior AI & Machine Learning Engineer 

Work Location: BGC

Shift: 4 PM - 1 AM

Work Set-up: ON-SITE

Salary range: UP TO P130K

Headcount: 4 only

*** KINDLY UPLOAD AN UPDATED CV

What You'll Do:

• Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms, under the guidance of senior engineers.

• Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualisation, rapid prototyping and experimentation, and writing high-quality, robust production code.

• Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principles

• Utilise and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency.

• Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions

• Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions.

• Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies and propose innovative ways to tackle healthcare challenges.

• Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments.

• Contribute to a team culture focused on technical excellence, continuous learning, and curiosity.

WHAT WE'RE LOOKING FOR:

• Core Experience: 2-3+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems.

• AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design.

• Ability to explain complex ideas clearly.

• Strong Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code.

• Technical Breadth: Familiarity and hands-on experience with relevant technologies such as backend services (e.g., Python/Node.js/Java/Go), cloud platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful), CI/CD pipelines, REST/WebSocket API development, and database technologies.

• Broad ML Domain Knowledge: Practical experience or strong knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalisation & Recommendation systems, and/or Anomaly Detection.

• LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, and monitoring).

• Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity.

• Ownership & Drive: You are self-driven, take immense pride in your technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions.

• Inherent Curiosity: You possess a strong desire to understand *how* and *why* things work, driving you to build better, more efficient systems.

• Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

NICE-TO-HAVEs:

• Experience building large-scale, consumer-facing applications.

• Experience working within the healthcare industry or another regulated environment.

• Contributions to relevant open-source projects or building any demo-worthy side projects and SaaS products

>>> PRE-SCREENING QUESTIONS <<<

Do you have a Bachelor’s degree in Computer Science, Software Engineering, or a related field?

Do you have 3–5 years of hands-on experience with Java Spring Boot?

Do you have practical experience with ReactJS?

Have you worked across the full Software Development Lifecycle (SDLC)?

Do you have experience with REST APIs, MongoDB, and DevOps tools?

Have you led projects or mentored junior developers?

Are you familiar with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and containerization tools (Docker/Kubernetes)?

Do you have experience with SQL and/or NoSQL databases?