Ahmedabad Gujarat Junior data scientist Jobs – 1 Open Jobs Today

Junior AI ML Developer
Bytes Technolab —Ahmedabad, Gujarat
- Full-time
- Azure
- Master's degree
- AWS
13h

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Data Analyst
SculptSoft —Ahmedabad, Gujarat
Basic knowledge of Python or R for data analysis is an added advantage. Good understanding of data modeling and data warehousing concepts.
₹9,00,000 - ₹10,00,000 a year
Quick apply
Data Analyst
Fireblaze AI School —Ahmedabad, Gujarat
Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Employment Type: Full-Time (Night Shift).
₹20,000 - ₹30,000 a month

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Junior AI ML Developer

Bytes Technolab -
Ahmedabad, Gujarat

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Job details

Full-time
13 hours ago

Qualifications

TensorFlow
Image processing
Azure
Law
Computer vision
NumPy
Git
Master's degree
Pandas
AWS
Bachelor's degree
Machine learning
Deep learning
Natural language processing
OpenCV
GitHub
Flask
AI
Python

Full job description

Position - 01
Job Location - Ahmedabad
Qualification - Graduate
Working Hours - Full Time
Years of Exp - 0 to 1 Year

About us

We’re looking for a curious, driven, and hands-on Junior AI/ML Developer who is excited to turn ideas into intelligent solutions. You’ll get the opportunity to work at the intersection of Large Language Models (LLMs), Computer Vision, and Deep Learning, contributing to projects that push the boundaries of what AI can do. The ideal candidate has a strong grasp of deep learning concepts, neural networks, and machine learning fundamentals, along with practical experience in building and working with data pipelines.

Roles & responsibilities

Support development and fine-tuning of Large Language Models (LLMs) using open-source or proprietary models (e.g., OpenAI, HuggingFace, LLaMA).
Build and optimize Computer Vision pipelines for tasks such as object detection, image classification, and OCR.
Design and implement data preprocessing pipelines, including handling structured and unstructured data.
Assist in training, evaluation, and deployment of ML/DL models in staging or production environments.
Write clean, scalable, and well-documented code for research and experimentation purposes.
Collaborate with senior data scientists, ML engineers, and product teams on AI projects.

Skills required

Strong foundation in Neural Networks, Deep Learning, and ML algorithms.
Hands-on experience with Python and libraries such as TensorFlow, PyTorch, OpenCV, or HuggingFace Transformers.
Familiarity with LLM architectures (e.g., GPT, BERT, LLaMA) and their fine-tuning or inference techniques.
Basic understanding of Computer Vision concepts and real-world use cases.
Experience working with data pipelines and handling large datasets (e.g., Pandas, NumPy, data loaders).
Knowledge of model evaluation techniques and metrics.

Good to Have

Experience using Hugging Face, LangChain, OpenCV, or YOLO for CV tasks.
Familiarity with Prompt Engineering and Retrieval-Augmented Generation (RAG).
Understanding of NLP concepts such as tokenization, embeddings, and vector search.
Exposure to ML model deployment (Flask, FastAPI, Streamlit, or AWS/GCP/Azure).
Participation in ML competitions (e.g., Kaggle) or personal projects on GitHub.

Apply Now

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