AI Architect
Infinite HR Solutions · Gurugram · hybrid · Posted 64d ago
Undisclosed8–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Roles and Responsibilities
- Design and develop scalable, secure, and efficient AI solutions using LLM models.
- Develop data pipelines for large-scale data processing and analysis.
- Ensure high-quality model training through monitoring and optimization techniques.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
- Provide technical guidance on architecture design principles for AI applications.
Desired Candidate Profile
- 8-12 years of experience in developing AI solutions using LLM models.
- Strong understanding of machine learning concepts, including supervised and unsupervised learning methods.
- Proficiency in programming languages such as Python or R; experience with popular libraries like TensorFlow or PyTorch is a plus.
Sourced from naukri
Skills
Large Language Models (LLMs)ArchitectureArtificial IntelligenceMachine Learning
About Infinite HR Solutions

Infinite HR Solutions
HiringGlobal B2B Stablecoin Processor
25
employees
2024
2 years old
Bangalore / Bengaluru, Karnataka
India
₹13.8L PA avg
Avg at Infinite HR Solutions
About
Infinite is a global technology solution provider headquartered in Rockville, Md. The company provides business technology solutions and product engineering services for telecom, hi-tech, healthcare, media entertainment, insurance, banking financial services, retail, public sector, travel and transport, and government. With the proprietary frameworks, platforms, accelerators, and domain experts, Infinite has been solving challenges for Fortune 1000 companies since 2001. Core service offerings include business transformation, digitalization, cloud services, application development management services, quality engineering and assurance, product/platform engineering, and infrastructure services.
Industries
FinanceFinTechPayments
Employee ratings
10 reviews
3.2/ 5
Culture
3.0
Career growth
2.3
Work-life
3.3
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