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AI Engineer – Expert (AI / ML / RPA / Data Science – LAI)
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AI Engineer – Expert (AI / ML / RPA / Data Science – LAI)
Mantras2success Consultants- Posted 3 hours ago
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Job Description
Job Description:
We are hiring anAI Engineer - Expertto provide technical leadership across enterprise-grade AI / ML / RPA programs. The role will act as the architectural authority, ensuring best-in-class solution design, implementation excellence, and robust governance across all AI deployments.
Key Responsibilities
- Providetechnical leadership and expert guidanceacross AI / ML / RPA solution design and implementation.
- Review, optimize, and validatearchitecture, source code, and all technical deliverables.
- Resolvehigh-complexity technical issuesand drive engineering best practices.
- Define and enforcescalable, secure, and compliant AI frameworks.
- Mentor engineering teams and enablecapability building across projects.
- Ensure alignment of AI initiatives withorganisational strategy, governance, and risk frameworks.
- Drive continuous improvement inMLOps, automation maturity, and production reliability.
Core Competencies
- Advanced expertise inPython, TensorFlow / PyTorch / Scikit-learn
- Strong exposure toMLOps, API-based deployment, CI/CD pipelines
- Hands-on experience withAzure AI / IBM AI / Cloud-based AI ecosystems
- Deep understanding ofAI security, data privacy, compliance, and ethical AI
- Proven leadership in architecting and scaling enterprise AI platforms.
Education
BE / BTech / MTech / MSc (IT, Mathematics, Physics) / MCA
Certifications (Highly Preferred)
- Microsoft Certified: Azure AI Fundamentals
- Microsoft Certified: Artificial Intelligence Engineer
- IBM AI Engineering Professional Certificate
- IBM Data Science Professional Certificate
- IBM Data Analyst Professional Certificate
- CertNexus Certified Artificial Intelligence Practitioner
- Certified Artificial Intelligence Engineer - United States Artificial Intelligence Institute
More Info
Key Skills
IBM AI
API-based deployment
Scikit-learn
data privacy compliance
ethical AI
Cloud-based AI ecosystems
CI CD pipelines
Azure AI
AI security
