AI/ML/Data Scientist

As an AI/ML/Data Scientist, you will be responsible for designing, developing, and implementing machine learning models and algorithms. Your day-to-day tasks will include data analysis, data visualization, and data science projects. You will also handle data collection, cleaning, and preprocessing to ensure high-quality datasets for model training and evaluation. Collaboration with cross-functional teams to deliver scalable AI/ML solutions is a key aspect of this role. Key Responsibilities: - Design, develop, and optimize NLP models for text classification, sentiment analysis, entity recognition, and conversational AI. - Apply machine learning and deep learning algorithms to large datasets for predictive and prescriptive analytics. - Collaborate with cross-functional teams (engineering, product, business) to understand requirements and translate them into AI-driven solutions. - Build, train, and deploy scalable ML models using frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. - Perform data preprocessing, feature engineering, and model performance evaluation. - Stay updated with the latest advancements in AI/ML, LLMs, and generative AI techniques. - Optimize models for accuracy, scalability, and efficiency in production environments. - Work with cloud platforms (AWS, Azure, GCP) for AI/ML deployment and data pipelines. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. - 4+ years of hands-on experience in AI/ML/Data Science roles. - Strong expertise in AI/ML/Data Science. - Proficiency in Python, SQL, and ML frameworks. - Solid understanding of machine learning algorithms, deep learning architectures. - Experience working with structured and unstructured datasets. - Strong problem-solving and analytical skills.,