Ai Architect
5 days ago
**Experience**: 8 - 10 years
**(any developer with minimum 3 to 4 years into AI),**
**SaaS company mandatory.**
**Product Based company Mandatory**
- **Position Overview**:_
- **Key Responsibilities**:_
- 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 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.
- **Preferred Qualifications**:_
- 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
Pay: ₹3,284,484.76 - ₹4,001,209.49 per year
Schedule:
- Day shift
- Fixed shift
- Monday to Friday
Work Location: In person
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