AI/ML Developer

Job Opening Name


Job Summary


Responsibilities

• Develop, train, test, and deploy machine learning and deep learning models.
• Collect, clean, preprocess, and analyze structured and unstructured data.
• Build AI-powered features such as chatbots, recommendation systems, predictive models, and automation tools.
• Integrate AI models into web and mobile applications using REST APIs.
• Perform feature engineering, model evaluation, and performance optimization.
• Work with natural language processing, computer vision, or generative AI based on project requirements.
• Collaborate with developers, designers, and product teams to implement AI solutions.
• Troubleshoot model accuracy, data quality, performance, and integration issues. Write clean, reusable, maintainable, and well-documented Python code. Stay updated with the latest developments in AI, machine learning, and generative AI.

Requirements

• Strong proficiency in Python. Experience with NumPy, Pandas, Scikit-learn, and data visualization libraries.
• Familiarity with TensorFlow, PyTorch, Keras, or similar frameworks.
• Good understanding of machine learning algorithms, statistics, and model evaluation techniques.
• Experience with data preprocessing, feature engineering, and hyperparameter tuning.
• Familiarity with FastAPI, Flask, or Django for building APIs. Basic knowledge of SQL databases, Git, and deployment processes.
• Understanding of NLP, computer vision, recommendation systems, or predictive analytics.
• Familiarity with large language models, prompt engineering, embeddings, or vector databases is a plus.
• Knowledge of Docker, cloud platforms, and MLOps tools is an advantage.
• Excellent problem-solving, communication, and teamwork skills.
• Strong organizational and time management skills.

Experience


Job Type


Location


Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.