Junior AI Machine Learning Engineer

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, 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

PRE-SCREENING QUESTIONS (MUST ANSWER):

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?