Bytes Technolab Recruitment Drive; Hiring Junior AI/ML Developer – Apply Now

Junior AI/ML Developer Job Openings in Ahmedabad 2025!!!

Bytes Technolab announced job vacancy for the post of Junior AI/ML Developer. The place of posting will be at Ahmedabad. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	Bytes Technolab
Required Qualifications	Graduate
Skills	Neural Networks, Deep Learning, and ML algorithms
Category	Information Technology
Work Type	Onsite

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.

Θ Positions: Junior AI/ML Developer

Θ Job Location: Ahmedabad

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID:

Roles and 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.

Required Skills & Qualifications:

• 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
• 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.

 

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