Senior Data Scientist

Purpose Of The Position:

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..

Key Responsibilities:

• Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms.
• Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes.
• Lead the development of Generative AI solutions, including content generation and automation.
• Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions.
• Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability.
• Perform data exploration, analysis, and feature engineering to improve model performance.
• Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities.
• Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment.
• Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions.
• Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner.

Required Skills And Qualifications:

• 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models.
• Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques.
• Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks.
• In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks).
• Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK.
• Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models.
• Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases.
• Knowledge of MLOps and experience deploying models in production environments.
• Strong problem-solving skills and a deep understanding of statistical methods and algorithms.

Preferred Qualifications:

• Experience with Reinforcement Learning and Recommender Systems personalization techniques.
• Experience of working with AWS Bedrock services.
• Familiarity with ethical AI and model bias mitigation techniques.
• Experience with A/B testing, experimentation, and performance tracking for AI models in production.
• Prior experience mentoring junior data scientists and leading AI/ML projects.
• Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Why Join Us?

• Opportunity to be part of a rapidly growing, innovative product-based company.
• Collaborate with a talented, driven team focused on building high-quality software solutions.
• Competitive compensation and benefits package.