Technical Lead-AI

Navikenz; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A technology company in Bengaluru is seeking a skilled AI Engineer to design and deploy advanced machine learning and deep learning models. The candidate will collaborate with engineers and optimize computer vision pipelines. Applicants should possess a Bachelor's or Master's degree in relevant fields, along with at least 8 years of experience. Proficiency in Python, frameworks like PyTorch, and backend services such as Django is essential. This role offers an exciting opportunity to work in a fast-paced AI environment.

Qualifications

• 8+ years of experience in building and deploying ML/DL models.
• Strong proficiency in Python, with frameworks like PyTorch and TensorFlow.
• Solid experience in backend frameworks like Django and Flask.

Responsibilities

• Design, develop, and deploy advanced ML and DL models.
• Build and optimize Computer Vision pipelines.
• Integrate AI models into scalable backend services.

Skills

Machine Learning and Deep Learning models

Computer Vision

RESTful APIs

Collaboration with engineers

Python

MLOps tools

Education

Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science

Tools

PyTorch

TensorFlow

OpenCV

Django

Flask

FastAPI

Docker

Kubernetes

AWS

GCP

Azure

Job description

Full-Time / Bangalore Noida / / Data and AI

• Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases.


• Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures.


• Integrate AI models into scalable backend services using Django, Flask, or FastAPI.


• Build robust RESTful APIs and manage data pipelines for AI workflows.


• Collaborate closely with frontend/backend engineers to bring AI features to production.

Required Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.


• 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.).


• Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face.


• Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference.


• Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).


• Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines).

Preferred Skills:

• Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.