Junior - Ai/ml (Ahmedabad)

Roles and Responsibilities: - Collaborate with the AI/ML team to understand project requirements and convert them into implementable AI/ML solutions. - Develop and implement AI/ML models for various use cases such as Generative AI, RAG, Chatbots, Object Detection, Semantic Searching, Entity Recognition, etc. - Perform data preprocessing, feature engineering, and model evaluation tasks. - Assist in data annotation and creation of high-quality training dataset. - Conduct experiments and analyze results to optimize model performance. - Ensure adherence to coding standards, best practices, and guidelines in the development process. - Participate in code reviews and refactor code based on provided feedback. - Validate developed models against requirements and test cases. - Assist in model deployment and serving using appropriate tools and techniques. - Maintain comprehensive documentation, code comments, and knowledge retention for AI/ML projects. - Actively participate in scrum ceremonies and maintain tracking using relevant project management tools. - Uphold the organization's values, vision, and mission while fostering a collaborative work workplace. - Actively participate in training sessions provided by the organization to enhance AI/ML skills. Skills: - Fundamental understanding of AI/ML concepts, algorithms, and techniques - Proficiency in programming languages commonly used in AI/ML, such as Python - Hands-on experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn) - Familiarity with data preprocessing, feature engineering, and model evaluation techniques - Familiarity with Natural Language Processing (NLP) techniques and libraries (e.g., NLTK, spaCy, Transformers) - Basic understanding of Generative AI techniques and architectures (e.g., Transformer based models, GANs, VAEs) - Knowledge of computer vision and image processing techniques (OpenCV, Pillow, scikit image) - Familiarity with data annotation tools and t .