Senoir AI Machine& Learner Engineer
Gratitude IncSenoir AI Machine& Learner Engineer
Job Description
Key Skills
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Job Title: Senior AI & Machine Learning Engineer
Relevant Experience: 5 years PLUS
Work Location: BGC
Shift: Day shift
Work Set-up: ON-SITE
Salary range: UP TO P170K
Headcount: 4 only
*
About the Team
The Consumer Engineering (CE) team is responsible for building all consumer-facing
experiences. We are expanding our capabilities to power the next generation o
Key Challenges
• Simplifying Healthcare Complexity: Apply your engineering skills and AI/ML
techniques to build systems that navigate the intricate healthcare landscape,
making it easier for millions of users to access care.
• Building Scalable AI Systems: Design, implement, and deploy robust, production-
grade AI solutions capable of handling large volumes of data and user interactions
within our consumer-facing applications.
• Driving Rapid Innovation: Implement and experiment with new AI advancements
(like LLMs) to solve real-world healthcare p
• Stay current with the latest advancements in AI/ML and software enginee
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 pipelin
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, Engineering, Data Science, or a related field (or equivalent practical experience)?
Do you have 5+ years of professional software engineering experience, with a focus on building and deploying AI/ML models and systems?
Can you demonstrate a deep understanding of AI/ML concepts, models, and algorithms, and explain them clearly?
Do you have strong skills in software design, data structures, algorithms, and writing clean, testable, maintainable code?
**A bold text example**
(RATE YOURSELF 1-10 --- 10 IS THE HIGHEST)
Do you have hands-on experience with: RATING: ______
Backend services (Python / Node.js / Java / Go): RATING: ______
Cloud platforms (AWS / GCP / Azure): RATING: ______
CI/CD pipelines: RATING: ______
API development (REST / WebSocket): RATING: ______
Databases (SQL / NoSQL): RATING: ______
Front-end frameworks (e.g., React Native)?: RATING: ______
Do you have practical experience in any of the following ML domains? (YES or NO)
--- Natural Language Processing (NLP):
--- Computer Vision:
--- Recommendation Systems / Personalization:
--- Anomaly Detection:
Have you built and deployed applications leveraging Large Language Models (LLMs) in a production environment (considering performance, cost, reliability, monitoring)?
Role
Engineering - Software
Timings
Day Shift (Permanent)
Industry
BPO
Work Mode
Hybrid
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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- What are the most important skills you acquired as a Soft Skills/VNA trainer?
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