Lead Data Scientist

Aspire Systems; Ernakulam, Chennai, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Aspire Systems in Kochi, Chennai and Bangalore seeks an experienced AI/ML professional with 5-10 years to drive industrial AI initiatives. You will develop production-grade models, work with LLMs, data engineering, and deployment pipelines.

Join a team tackling real-world challenges across manufacturing, supply chain, and regulatory domains, focusing on safety, compliance, and performance optimization.

Qualifications

• 5-10 years of experience in AI/ML
• Hands-on experience with transformer-based models and prompt engineering
• Proficiency in Python and ML frameworks
• Strong data engineering with structured, semi-structured, and unstructured data
• Experience deploying ML models into production and AI systems

Responsibilities

• Build AI models and intelligent systems powering industrial applications.
• Develop and deploy LLM-based solutions including RAG, embeddings, and fine-tuning (LoRA/QLoRA).
• Handle data engineering tasks for AI models and ensure model validation and QA.
• Collaborate to solve real-world, high-impact manufacturing and supply chain challenges.

Skills

Python programming

ML frameworks

LLMs & Generative AI

Data analysis

Problem solving

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

SQL/NoSQL

Vector databases

Parquet

OCR pipelines

Job description

Experience: 5-10 Years

Location: Kochi, Chennai & Bangalore

JD

• Core AI/ML: Expert-level proficiency in Python and leading AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.


• Strong understanding of supervised, unsupervised, and deep learning techniques, with experience developing, evaluating, and optimizing production-grade machine learning models.


• LLMs & Generative AI: Hands-on experience with transformer-based foundation models (GPT, Llama, BERT, Mistral, etc.), prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning (LoRA/QLoRA), embedding models, and agentic AI workflows for domain-specific applications.


• Data Engineering: Proficiency in working with structured, semi-structured, and unstructured data (JSON, XML, CSV, Parquet, documents).


• Strong knowledge of SQL/NoSQL databases, vector databases, and graph data structures. E


• xperience with document processing, OCR pipelines, and specialized data extraction is a strong advantage.


• Backend & AI Deployment: Experience exposing AI/ML models through

Roles and Responsibility

• This role is not just about building AI modelsit is about building the intelligence that powers the industrial backbone of the future.


• You will solve real-world, high-impact challenges, from ensuring product design and manufacturing are safe and compliant to predicting supply chain disruptions before they impact critical operations or national security capabilities.


• Data Exploration & Analysis Regulatory Text Interpretation Rule Formalization Natural Language Querying Retrieval-Augmented Generation (RAG) & Knowledge Engineering Forecasting & Demand Prediction Classification & Risk Scoring Data Engineering for AI AI Model Orchestration Performance Optimization Model Validation & Quality Assurance