Job description
Design and scale ML platform architecture. Build data pipelines and MLOps workflows. Deploy, monitor, and optimize ML models. Ensure platform reliability, security, and scalability. Mentor engineers and drive technical excellence. Collaborate with data science and engineering teams.
Key skills
Role details
Industry: IT - INFORMATION TECHNOLOGY Role category: Machine Learning Engineer (ML, Azure ML, Azure Monitor) Education: Any Graduate - Any Specialization, Any Post Graduate - Any Specialization, Any Doctorate - Any Specialization
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Warning signs
- Requests for registration, interview, security, training or refundable fees.
- Requests for OTPs, passwords, card details or bank-account credentials.
- Instant selection or an offer letter without a proper interview.
- Unrealistic salary promises or pressure to act immediately.
- Messages from unofficial domains, personal emails or unknown numbers.
- Requests to communicate or pay outside the employer’s verified process.
- Requests to install unknown applications, screen-sharing tools or remote-access software.
- Recruiters using look-alike domains, misspelled company names or unverifiable profiles.
- Requests to purchase equipment, courses or documents from a specified person.
Protect yourself
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- Confirm important communication through an official company email domain.
- Request a written job description and carefully review every offer condition.
- Never transfer money to obtain an interview, job or offer letter.
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