Role Overview
We are seeking a Senior Data Scientist with 7+ years of experience in Data Science and Machine Learning to join our growing AI team. The ideal candidate will have a strong track record of developing and deploying production-grade machine learning solutions and hands-on experience with modern AI technologies, including Large Language Models (LLMs) and Generative AI. This role will focus on delivering scalable, data-driven solutions that solve complex business challenges and create measurable impact.
Key Responsibilities
- Design, develop, and deploy machine learning models for predictive analytics, optimization, automation, and decision-support applications.
- Build and maintain end-to-end ML pipelines and production-ready AI solutions.
- Apply Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to real-world business problems.
- Analyze large and complex datasets to identify trends, generate insights, and support strategic decision-making.
- Lead model development activities, including feature engineering, training, validation, deployment, monitoring, and performance optimization.
- Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver scalable AI/ML solutions.
- Monitor and improve model performance, reliability, and scalability in production environments.
- Communicate technical findings and recommendations to both technical and non-technical audiences.
- Mentor junior team members and contribute to AI/ML best practices across the organization.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
- 7+ years of experience in Data Science and Machine Learning.
- Proven experience designing, developing, deploying, and maintaining machine learning models in production environments.
- Strong expertise in statistical analysis, predictive modeling, experimentation, and data-driven decision making.
- Hands-on experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
- Strong programming skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with MLOps practices, CI/CD pipelines, model monitoring, and ML lifecycle management.
- Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Experience building and deploying LLM-powered applications in production environments.
- Knowledge of vector databases and AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Experience with NLP, recommendation systems, deep learning, or other advanced AI/ML domains.
- Experience mentoring Data Scientists or leading technical initiatives.
