CIMET - Senior Data Scientist - Artificial Intelligence/Machine Learning

<p>Job Description :</p><p><br/></p><p>We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs).

The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.<br/><br/>Responsibilities :<br/><br/>- Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms.<br/><br/>- Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes.<br/><br/>- Lead the development of Generative AI solutions, including content generation and automation.<br/><br/>- Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions.<br/><br/>- Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability.<br/><br/>- Perform data exploration, analysis, and feature engineering to improve model performance.<br/><br/>- Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities.<br/><br/>- Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment.<br/><br/>- Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions.<br/><br/>- Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner.<br/><br/>Required Skills and Qualifications :<br/><br/>- 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models.<br/><br/>- Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques.<br/><br/>- Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks.<br/><br/>- In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks).<br/><br/>- Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc.<br/><br/>- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.<br/><br/>- Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK.<br/><br/>- Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models.<br/><br/>- Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases.<br/><br/>- Knowledge of MLOps and experience deploying models in production environments.<br/><br/>- Strong problem-solving skills and a deep understanding of statistical methods and algorithms.<br/><br/>Preferred Qualifications :<br/><br/>- Experience with Reinforcement Learning and Recommender Systems personalization techniques.<br/><br/>- Familiarity with ethical AI and model bias mitigation techniques.<br/><br/>- Experience with A/B testing, experimentation, and performance tracking for AI models in production.<br/><br/>- Prior experience mentoring junior data scientists and leading AI/ML projects.<br/><br/>- Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.</p> (ref:hirist.tech)