AI/ML Architect

DSP Investment Managers Pvt Ltd; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

DSP Investment Managers Pvt Ltd seeks a highly experienced Senior AI/ML Architect in Mumbai, India. The role involves leading the design of next-generation conversational AI platforms. The ideal candidate should have over 12 years of software engineering experience with a deep expertise in Text-to-SQL and a proven track record in architecting scalable chatbot solutions. Strong proficiency in Python, SQL, and various AI/ML technologies such as Generative AI is essential, alongside a Bachelor’s or Master’s degree in a related field.

Qualifications

• Minimum 12+ years of experience in software engineering, with at least 5-6 years focused on AI/ML and Natural Language Processing.
• Expert-level proficiency in Python and advanced SQL.
• Strong background in relational databases like PostgreSQL and SQL Server.

Responsibilities

• Design end-to-end conversational AI architectures integrating LLMs with data sources.
• Build and optimize Natural Language to SQL engines.
• Connect AI models with internal databases and cloud services.

Skills

Python

SQL

AI/ML

Natural Language Processing

Generative AI

Deep Learning

Database Management

Cloud AI Services

Education

Bachelor’s or Master’s degree in Computer Science, AI, or a related field

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

Job 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.