Job Title: Senior AI & Machine Learning Engineer

Relevant Experience: 5 years plus

Work Location: BGC, Taguig

Shift: Day shift

Work Set-up: Onsite/Mid-Shift

Salary: PHP 170,000

Headcounts: 4 

WHAT YOU'LL DO:

• Take ownership of designing, developing, testing, deploying, and maintaining

machine learning models and AI-powered systems (including LLM-based

applications) for consumer-facing platforms.

• Participate actively in the full AI lifecycle: contributing to brainstorming and

conceptualization, rapid prototyping and experimentation, and writing high-quality,

robust production code.

• Contribute significantly to the architecture, implementation, and management of

cloud infrastructure for AI solutions, utilizing Infrastructure as Code principles for

reliable deployments.

• Design and build reusable AI/ML platforms, components, and frameworks to

accelerate innovation and improve engineering efficiency across the Consumer

Engineering team.

• Provide technical guidance and mentorship to junior engineers through code

reviews, design discussions, and knowledge sharing. Lead by example in technical

best practices.

• 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: 5+ years of professional software engineering experience with a

significant focus on building and deploying production-grade AI/ML models and

systems.

• AI/ML Expertise: Deep 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 ability in software design, data

structures, algorithms, and writing clean, testable, and maintainable code.

• Technical Breadth: Deep 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, Personalization & 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, 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.

Interested and qualified Candidates should send their CV to esther.igweonu@gratitudeindia.com