Python AI/ML Developer

Ergobite Tech Solutions Pvt Ltd.; Pune District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Ergobite Tech Solutions Pvt Ltd. in Pune invites applications for a Python AI/ML Developer with 3+ years of experience. The role focuses on building scalable models, deploying ML pipelines, and leveraging modern frameworks such as TensorFlow or PyTorch.

You will work across ML tasks including preprocessing, feature engineering, and evaluation, and explore LLM-enabled AI capabilities. The position is full-time and hands-on in a collaborative, technology-driven environment.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• Minimum 3 years of Python programming experience.
• Hands-on experience with TensorFlow or PyTorch.
• Proficiency in Scikit-learn and deep learning methodologies.
• Experience with Keras, Pandas, Numpy, and Large Language Models (LLMs), such as GPT, and their applications in natural language processing and generation.
• Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics.
• Familiarity with version control systems, especially Git.

Responsibilities

• Develop and deploy machine learning models using TensorFlow and/or PyTorch, focusing on efficient and scalable solutions.
• Implement machine learning models and preprocessing tasks with Scikit-learn to enhance performance.
• Apply supervised and unsupervised learning algorithms (e.g., SVM, Decision Trees) across various applications.
• Design, implement, and fine-tune deep learning architectures (e.g., CNNs, RNNs) to tackle complex challenges.
• Research and experiment with reinforcement learning techniques to expand capabilities.
• Contribute to the design and development of AI systems leveraging large language models (LLMs) and advanced AI techniques.

Skills

Python programming

Machine learning

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Pandas

Numpy

GPT/LLMs

Git

Job description

Are you passionate about technology and innovation? Do you thrive in a dynamic and collaborative environment? If so, Ergobite is the place for you!

Python AI/ML Developer

Posted On: Feb 12 2026

Full Time

Exp: 3+ Years

Roles and Responsibilities

• Develop and deploy machine learning models using TensorFlow and/or PyTorch, focusing on efficient and scalable solutions.
• Implement machine learning models and preprocessing tasks with Scikit-learn to enhance performance.
• Apply supervised and unsupervised learning algorithms (e.g., SVM, Decision Trees) across various applications.
• Design, implement, and fine-tune deep learning architectures (e.g., CNNs, RNNs) to tackle complex challenges.
• Research and experiment with reinforcement learning techniques to expand capabilities.
• Contribute to the design and development of AI systems leveraging large language models (LLMs) and advanced AI techniques.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
• Minimum 3 years of Python programming experience.
• Hands‑on experience with TensorFlow or PyTorch.
• Proficiency in Scikit-learn and deep learning methodologies.
• Experience with Keras, Pandas, Numpy, and Large Language Models (LLMs), such as GPT, and their applications in natural language processing and generation.
• Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics.
• Familiarity with version control systems, especially Git.

Preferred Skills

• Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI).
• Familiarity with optimization techniques to improve AI model performance.
• Knowledge of deep learning architectures, including CNNs, RNNs, and transformers.

Join Us

Whether you are looking to transform your business with innovative technology solutions or seeking a rewarding career in a dynamic and forward‑thinking company, Ergobite is the place for you. Join us on our journey to shape the future of enterprise solutions.

We offer comprehensive solutions in IT consulting, technology, and operations to meet the diverse needs of our clients