AI/ML Architect

DSP Mutual Fund; Maharashtra; In loco; INR 4.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

DSP Mutual Fund seeks a Senior AI/ML Architect to lead the design and delivery of next-generation conversational AI platforms. You will drive end-to-end architectures, enabling natural language access to relational data via Text-to-SQL in an enterprise setting.

Ideal candidates bring 12+ years in software with 5–6 years in AI/ML/NLP, mastery of Python and SQL, and hands-on cloud AI experience. The role focuses on scalable, secure solutions and cross-functional collaboration.

Competenze

• 12+ years in software engineering with at least 5-6 years in AI/ML and NLP.
• Expert-level Python and advanced SQL.
• Deep understanding of Generative AI, Transformers, and LLM orchestration tools like LangChain or LlamaIndex.
• Experience with PyTorch or TensorFlow.
• Strong DB knowledge: PostgreSQL, SQL Server; NoSQL/Graph databases.
• Hands-on with cloud AI services such as AWS SageMaker or Google Cloud AI.
• Bachelor’s or Master’s degree in CS, AI, or related field.

Mansioni

• Architect end-to-end conversational AI architectures integrating LLMs with enterprise data using Text-to-SQL and RAG.
• Develop high-accuracy Text-to-SQL engines enabling natural language querying of relational data via chat interfaces.
• Integrate AI models with internal DBs, APIs, and cloud services ensuring scalability and security.
• Oversee fine-tuning of LLMs and optimize prompts to improve accuracy and latency.
• Collaborate with business leaders and engineering teams to translate AI concepts into product features.

Conoscenze

Python

Advanced SQL

Generative AI

Transformers

LangChain

LlamaIndex

PyTorch

TensorFlow

PostgreSQL

SQL Server

NoSQL/Graph DB

AWS SageMaker

GCP AI

Formazione

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

Strumenti

LangChain

LlamaIndex

PyTorch

TensorFlow

AWS SageMaker

Google Cloud AI

PostgreSQL

SQL Server

OpenAI API

Hugging Face

Descrizione del lavoro

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.