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Bytes Technolab Inc
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Junior AI / ML Developer

Junior AI / ML Developer

Bytes Technolab Inc

0 - 1 years

12 - 16 Lacs

Ahmedabad

Posted:1 day ago| Platform:

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Skills Required

Computer science Computer vision Usage GCP Analytical Social media Web development Open source Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Qualification - Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, Relevant certifications or course completion (Coursera, edX, etc.) will be an advantage

Years of Exp - 0 to 1 year

About us

Bytes Technolab is a full-range web application Development Company, establishedin the year 2011, having international presence in the USA and Australia and India. Bytes exhibiting excellent craftsmanship in innovative web development, eCommerce solutions, and mobile application development services ever since its inception.

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.

Soft Skills

Strong analytical and problem-solving skills.

Willingness to learn and work in a collaborative team environment.

Good communication and documentation habits.

Apply now

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