Principal Engineer - AI & ML

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

Job summary

A financial investment firm in Mumbai is seeking a Senior AI/ML Architect with over 12 years of experience. The role involves leading the design of conversational AI platforms and optimizing Natural Language to SQL engines. Ideal candidates will have deep expertise in AI/ML, including proven skills in Python and SQL, along with experience in cloud services. Candidates should hold a Bachelor’s or Master’s degree in a related field. This position offers an exciting opportunity to shape AI solutions within a dynamic environment.

Qualifications

• Minimum 12+ years of experience in software engineering, with at least 5-6 years focused on AI/ML and NLP.
• Expert-level proficiency in Python and advanced SQL.
• Deep understanding of Generative AI, Transformers, and LLM orchestration tools.

Responsibilities

• Design end-to-end conversational AI architectures integrating LLMs with enterprise data.
• Build and optimize high-accuracy Natural Language to SQL engines.
• Connect AI models with internal databases, APIs, ensuring scalability.

Skills

Python

SQL

AI/ML

Natural Language Processing (NLP)

Text-to-SQL

Database Engineering

Cloud AI Services

Generative AI

Deep Learning Frameworks (PyTorch, TensorFlow)

Education

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

Tools

PostgreSQL

SQL Server

AWS

Azure

Google Cloud Platform (GCP)

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.