Job Description

AI/ML Developer - Computer Vision, LLMs & Generative AI

Location:

Ahmedabad, India

Department:

Torque

Job Overview

Adiance Technologies is seeking an

experienced AI/ML Developer

with strong expertise in

computer vision, large language models (LLMs), and generative AI

. In this role, you will design, develop, and deploy advanced machine learning solutions for real-world applications, including image/video analysis, NLP, and creative AI-driven content generation.

Key Responsibilities

Develop and implement computer vision models (object detection, classification, video analytics) using frameworks like

OpenCV, TensorFlow, PyTorch

. Work with

LLMs (GPT, BERT, etc.)

for NLP tasks such as text understanding, chatbots, summarization, and question-answering systems. Build

generative AI models

(GANs, VAEs, diffusion models) for synthetic data, images, and text generation. Collect, preprocess, and manage image, video, and text datasets for training and evaluation. Train and optimize deep learning models using

GPU acceleration and distributed systems

. Collaborate with engineers to integrate AI models into production with a focus on scalability and performance. Stay updated with advancements in

computer vision, NLP, and generative AI

, applying cutting-edge research to real-world projects. Monitor model performance using metrics (accuracy, precision, recall, F1-score, log-loss) and troubleshoot issues.

Required Skills & Qualifications

Bachelor's/Master's in

Computer Science, AI, Data Science, or related fields

. Proficiency in

Python

and frameworks such as

TensorFlow, PyTorch, Keras

. Hands-on experience in

computer vision

(image recognition, object detection, video processing). Strong expertise with

LLMs

(GPT, BERT, HuggingFace) and fine-tuning for NLP applications. Proven work with

generative AI models

(GANs, VAEs, diffusion models). Knowledge of

deep learning concepts

: CNNs, RNNs, Transformers, Generative Models. Experience with

cloud platforms (AWS, Azure, GCP)

or on-premise deployment. Strong debugging, optimization, and problem-solving skills.

Preferred Qualifications

Experience with

transfer learning, self-supervised learning, or unsupervised learning

. Familiarity with

multimodal AI models

(e.g., CLIP, DALLE). Proficiency with

NLP tools

(SpaCy, HuggingFace, NLTK). Prior exposure to

3D computer vision, semantic segmentation, or depth estimation

.
Job Type: Full-time

Pay: From ?15,000.00 per month

Work Location: In person