AI/ML Architect
DSP Asset Managers Pvt. Ltd · dspim.com
MumbaiLead / Manager12+ yrs
The job in short
AI and machine learning architecture.
PythonSQLNoSQLAWSAzureGCPDeep learningGenerative AILLMLLMsNLPPyTorch
Details
- Found
- 22 d ago · posted 2026-04-20
- Location as listed
- Mumbai, IN
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Seeking a highly experienced Senior AI/ML Architect with over 12 years of professional experience to lead the design and development of our next-generation conversational AI platforms
The ideal candidate will be a visionary in the field, possessing deep expertise in Text-to-SQL technologies and a proven track record of architecting scalable, enterprise-grade chatbot solutions.
Core Responsibilities
• Architectural Leadership: Design end-to-end conversational AI architectures, integrating LLMs with enterprise data sources using Text-to-SQL and RAG (Retrieval-Augmented Generation) frameworks.
• Text-to-SQL Development: Build and optimize high-accuracy Natural Language to SQL engines that enable non-technical users to query complex relational databases through chat interfaces.
• System Integration: Connect AI models (OpenAI, Hugging Face) with internal databases, APIs, and cloud services (AWS, Azure, or GCP) ensuring scalability and security.
• Performance Optimization: Oversee the fine-tuning of Large Language Models (LLMs) and the optimization of prompt engineering strategies to improve system accuracy and response latency.
• Cross-Functional Collaboration: Partner with business leaders and engineering teams to translate complex AI concepts into actionable product features and business insights.
Required Qualifications & Skills
• Experience: Minimum 12+ years of total experience in software engineering, with at least 5-6 years focused on AI/ML and Natural Language Processing (NLP).
• Technical Expertise:
• Expert-level proficiency in Python and advanced SQL.
• Deep understanding of Generative AI, Transformers, and LLM orchestration tools like LangChain or LlamaIndex.
• Proven experience with deep learning frameworks such as PyTorch or TensorFlow.
• Database & Data Engineering: Strong background in relational databases (PostgreSQL, SQL Server) and NoSQL/Graph databases for managing large-scale data streams.
• Cloud Platforms: Hands-on experience with cloud AI services like AWS SageMaker or Google Cloud AI.
• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
Machine Learning / AI Engineer jobs in Mumbai · Machine Learning / AI Engineer jobs in India · All DSP Asset Managers Pvt. Ltd jobs