Junior AI & Machine Learning Machine
Gratitude IncJunior AI & Machine Learning Machine
Job Description
Key Skills
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Job Title: Junior AI & Machine Learning Engineer
Work Location: BGC
Shift: 4PM - 1AM
Work Set-up: ON SITE
Salary range: UP TO P130K
Headcount: 4 only
As a Software Engineer on this team, you will be a key technical
contributor, designing and building the core AI/ML systems that drive
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
WHAT MAKES THIS ROLE SPECIAL:
• Direct Impact: Your work directly contributes to improving health outcomes and
simplifying the healthcare experience for millions of people.
• Meaningful Challenges: Tackle complex, intellectually stimulating problems at the
intersection of AI and healthcare.
• Cutting-Edge Technology: Be at the forefront of applying advanced AI/ML, including
LLMs, to build next-generation consumer experiences.
• Full Lifecycle Ownership: Opportunity to work across the entire AI lifecycle, from
initial idea to production deployment and iteration.
• Growth & Development: Join a supportive team within a large organization that
offers comprehensive benefits, career development pathways, and a culture
focused on learning.
• Collaborative Culture: Work alongside diverse, talented peers in an inclusive
environment guided by principles of Caring, Connecting, and Growing together.
• Mission-Driven: Contribute to advancing health equity on a global scale as part of a
leading healthcare organization.
>>> 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?
Role
Engineering - Software
Timings
Night Shift (Permanent)
Industry
BPO
Work Mode
Work from office
Functional Area
IT Software/Hardware
Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.
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