Senior AI & ML 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
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 tobunderstand 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 healthcarechallenges.
• 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.
Role
Senior Design Engineer
Timings
Day Shift (Permanent)
Industry
Health/Fitness/Wellness
Work Mode
Work from office
Process
Voice
Functional Area
Research & Development / Engineering Design
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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