AI / ML Engineer - AI /ML Computational Science
Job Description
Key Skills
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JOB TITLE: AI / ML Engineer - AI /ML Computational Science
WORK SET UP: Onsite in Manila
WORK SHIFT: Shifting
Salary budget: Confidential (Will be discussed during the job offer)
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Summary: As an AI / ML Engineer, you will spend your day designing and developing advanced applications and systems that leverage artificial intelligence technologies. Your work will involve integrating cloud-based AI services and ensuring that solutions are production-ready, whether deployed on cloud platforms or on-premises. You will engage in applying generative AI models and may work on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration and continuous innovation will be key aspects of your daily activities, contributing to the advancement of intelligent systems.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to align AI solutions with organizational goals.
- Monitor project progress and ensure timely delivery of high-quality AI implementations.
Professional & Technical Skills:
- Required Skill: Expert proficiency in AI Architecture.
- Strong understanding of AI model deployment and integration within cloud and on-premises environments.
- Experience in designing scalable AI pipelines and production-grade AI systems.
- Familiarity with generative AI models and their practical applications
.- Proficient in deep learning frameworks and neural network architectures.
- Ability to optimize AI solutions for performance and reliability.
Additional Information:
- The candidate should have minimum 3 years of experience in AI Architecture.
- This position is based at our Manila office.
Minimum 3 year(s) of experience is required
• Screening with CV Reviewer
• Endorse for Validation and further CV screening through Workday, along with the HRI toolkit, FCV, and CV
• For review with the client
PRE-SCREENING QUESTIONS:
How many years of relevant hands-on experience with AI Architecture?
How much is your last drawn salary?
How much is your salary expectation?
Are you amenable to working on an onsite setup with a shifting schedule in Manila?
Role
Any Other
Timings
Flexible (Permanent)
Industry
BPO
Work Mode
Work from office
Process
Voice
Functional Area
Any Other
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.
Interview Tips
- Giving the VNA round?
- What are the most important skills you acquired as a Soft Skills/VNA trainer?
- How would you handle an irate customer?
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