Senior Ai Data Scientist: Lead Production Ml & Nlp

Requirements Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras) , Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers) , Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy) , Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy) , Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure) , Experience with version control systems (e.g., Git) for collaborative development , 5+ years of experience in AI, machine learning, or related fields , Proven experience in developing and deploying AI models in production environments , Strong foundation in statistics and data analysis as it relates to AI , Familiarity with Agile methodologies and product development cycles , (Desirable) Experience with reinforcement learning and advanced AI techniques , (Desirable) Familiarity with ethical AI practices and regulations , (Desirable) Understanding of business applications and implications of AI technologies , (Desirable) Experience related to LLMs, Bedrock etc What the job involves We are looking for an AI Data Scientist to join our Engineering team , As a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutions , You will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value , You will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights , Design, develop, and deploy AI models and algorithms to address specific business challenges , Conduct research and experimentation to advance the state-of-the-art in AI and machine learning , Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration , Perform data preprocessing, feature engineering, and model selection for optimal performance , Evaluate and optimize AI models using performance metrics and model validation techniques , Communicate findings and insights effectively to stakeholders through data storytelling and visualization , Mentor and guide junior team members in AI concepts, tools, and best practices , Stay current with advancements in AI technologies and methodologies #J-*****-Ljbffr

Requirements Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras) , Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers) , Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy) , Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy) , Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure) , Experience with version control systems (e.g., Git) for collaborative development , 5+ years of experience in AI, machine learning, or related fields , Proven experience in developing and deploying AI models in production environments , Strong foundation in statistics and data analysis as it relates to AI , Familiarity with Agile methodologies and product development cycles , (Desirable) Experience with reinforcement learning and advanced AI techniques , (Desirable) Familiarity with ethical AI practices and regulations , (Desirable) Understanding of business applications and implications of AI technologies , (Desirable) Experience related to LLMs, Bedrock etc What the job involves We are looking for an AI Data Scientist to join our Engineering team , As a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutions , You will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value , You will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights , Design, develop, and deploy AI models and algorithms to address specific business challenges , Conduct research and experimentation to advance the state-of-the-art in AI and machine learning , Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration , Perform data preprocessing, feature engineering, and model selection for optimal performance , Evaluate and optimize AI models using performance metrics and model validation techniques , Communicate findings and insights effectively to stakeholders through data storytelling and visualization , Mentor and guide junior team members in AI concepts, tools, and best practices , Stay current with advancements in AI technologies and methodologies #J-*****-Ljbffr