Artificial Intelligence Architect

My profile - linkedin.com/in/yashsharma1608

AI Architect ( Gen AI )

Experience : 8 - 10 years

Notice Period : Immediate to 15 days.

Budget upto - 45 to 50 LPA

Location : Bangalore.

Note : -

(any developer with minimum 3 to 4 years into AI),

SaaS company mandatory.

Product Based company Mandatory

Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation

• Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings
• Design and implement robust ML infrastructure and deployment pipelines
• Establish comprehensive MLOps practices for model training, versioning, and deployment
• Lead the development of HR-specialized language models (SLMs)
• Implement model monitoring, observability, and performance optimization frameworks
• Develop and execute fine-tuning strategies for large language models
• Create and maintain data quality assessment and validation processes
• Design model versioning systems and A/B testing frameworks
• Define technical standards and best practices for AI development
• Optimize infrastructure for cost, performance, and scalability

Required Qualifications

• 7+ years of experience in ML/AI engineering or related technical roles
• 3+ years of hands-on experience with MLOps and production ML systems
• Demonstrated expertise in fine-tuning and adapting foundation models
• Strong knowledge of model serving infrastructure and orchestration
• Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.)
• Experience implementing model versioning and A/B testing frameworks
• Strong background in data quality methodologies for ML training
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with cloud-based ML platforms (AWS, Azure, Google Cloud)
• Proven track record of deploying ML models at scale

Preferred Qualifications

• Experience developing AI applications for enterprise software domains
• Knowledge of distributed training techniques and infrastructure
• Experience with retrieval-augmented generation (RAG) systems
• Familiarity with vector databases (Pinecone, Weaviate, Milvus)
• Understanding of responsible AI practices and bias mitigation
• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field

What We Offer

• Opportunity to shape AI strategy for a fast-growing HR technology leader
• Collaborative environment focused on innovation and impact
• Competitive compensation package
• Professional development opportunities
• Flexible work arrangements Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply