Lead Data Scientist - Machine Learning

As a Lead Data Scientist, your role will involve driving the design, development, and deployment of advanced AI solutions with a focus on end-to-end ownership of machine learning and GenAI initiatives. You will be responsible for mentoring junior team members and collaborating with business and engineering stakeholders to deliver scalable, production-grade AI systems. Your key responsibilities will include: - Leading the design and implementation of machine learning and AI solutions from end-to-end - Building and deploying advanced ML models for both structured and unstructured data - Architecting and delivering NLP and GenAI solutions, such as LLM-based applications and RAG pipelines - Designing and implementing deep learning architectures using TensorFlow or PyTorch - Owning data preparation, feature engineering, model training, and validation workflows - Writing and optimizing complex SQL queries for large-scale data analysis - Guiding model evaluation, monitoring, explainability, and retraining strategies - Collaborating with engineering and MLOps teams to ensure scalable deployment - Mentoring junior data scientists and providing technical leadership - Translating complex technical solutions into clear business recommendations - Staying current with advancements in ML, NLP, and GenAI technologies Your required skills and qualifications include: - 7+ years of experience in Data Science, Applied ML, or AI Engineering - Strong expertise in Python for data science and ML development - Advanced SQL skills for data extraction and analytics - Deep understanding of machine learning algorithms and model tuning - Hands-on experience with NLP techniques and frameworks such as spaCy, Hugging Face, NLTK - Strong experience in Deep Learning using TensorFlow or PyTorch - Practical experience with Generative AI / LLMs, prompt engineering, embeddings, and RAG - Solid foundation in statistics, linear algebra, and optimization techniques This job opportunity will provide you with a chance to work on cutting-edge AI solutions, mentor junior team members, and collaborate with various stakeholders to drive impactful outcomes in the field of data science and AI. As a Lead Data Scientist, your role will involve driving the design, development, and deployment of advanced AI solutions with a focus on end-to-end ownership of machine learning and GenAI initiatives. You will be responsible for mentoring junior team members and collaborating with business and engineering stakeholders to deliver scalable, production-grade AI systems. Your key responsibilities will include: - Leading the design and implementation of machine learning and AI solutions from end-to-end - Building and deploying advanced ML models for both structured and unstructured data - Architecting and delivering NLP and GenAI solutions, such as LLM-based applications and RAG pipelines - Designing and implementing deep learning architectures using TensorFlow or PyTorch - Owning data preparation, feature engineering, model training, and validation workflows - Writing and optimizing complex SQL queries for large-scale data analysis - Guiding model evaluation, monitoring, explainability, and retraining strategies - Collaborating with engineering and MLOps teams to ensure scalable deployment - Mentoring junior data scientists and providing technical leadership - Translating complex technical solutions into clear business recommendations - Staying current with advancements in ML, NLP, and GenAI technologies Your required skills and qualifications include: - 7+ years of experience in Data Science, Applied ML, or AI Engineering - Strong expertise in Python for data science and ML development - Advanced SQL skills for data extraction and analytics - Deep understanding of machine learning algorithms and model tuning - Hands-on experience with NLP techniques and frameworks such as spaCy, Hugging Face, NLTK - Strong experience in Deep Learning using TensorFlow or PyTorch - Practical experience with Generative AI / LLMs, prompt engineering, embeddings, and RAG - Solid foundation in statistics, linear algebra, and optimization techniques This job opportunity will provide you with a chance to work on cutting-edge AI solutions, mentor junior team members, and collaborate with various stakeholders to drive impactful outcomes in the field of data science and AI.