AI Engineer

Cortex Consultants LLC; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A consultancy specializing in AI solutions seeks a professional in Chennai to design, train, and deploy AI and ML models that enhance decision-making and automate processes. Key responsibilities include working with NLP and predictive analytics, analyzing both structured and unstructured data, and developing ML pipelines. Strong expertise in Python and machine learning frameworks is essential. This role offers an opportunity to impact financial domain data positively.

Qualifications

• Strong expertise in Python and machine learning frameworks essential.
• Experience with data visualization and feature engineering is needed.
• Understanding of financial domain data is advantageous.

Responsibilities

• Design and deploy AI/ML models to enhance decision-making.
• Analyze both structured and unstructured data for insights.
• Collaborate with teams to integrate AI with existing systems.

Skills

Python

TensorFlow

PyTorch

NLP frameworks (spaCy, Hugging Face, OpenAI)

Data visualization

Feature engineering

SQL

Data integration tools (ADF, Databricks)

Job description

Location: Only Chennai

Role Overview

Responsible for designing, training, and deploying AI and ML models that enhance decision‑making and process automation for the Retirement Solutions client.

Key Responsibilities

• Work on NLP, predictive analytics, and automation models to support AI roadmap.
• Analyze structured and unstructured data to extract insights.
• Develop and maintain ML pipelines and APIs for model deployment.
• Collaborate with the Innovation Lead and Developers to integrate AI models with NET/Sigma systems.
• Evaluate model performance and retrain for accuracy improvement.

Required Skills

• Strong expertise in Python, TensorFlow/PyTorch, NLP frameworks (spaCy, Hugging Face, OpenAI).
• Experience with data visualization and feature engineering.
• Knowledge of SQL and data integration tools (ADF, Databricks preferred).
• Understanding of Retirement/Financial domain data is a plus.