Senior Ai Data Scientist

RequirementsProficiency 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 development5+ years of experience in AI, machine learning, or related fieldsProven experience in developing and deploying AI models in production environmentsStrong foundation in statistics and data analysis as it relates to AIFamiliarity 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 etcWhat the job involvesWe are looking for an AI Data Scientist to join our Engineering teamAs a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutionsYou will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business valueYou will work collaboratively with cross?functional teams to translate business requirements into AI?driven applications and insightsDesign, develop, and deploy AI models and algorithms to address specific business challengesConduct research and experimentation to advance the state?of?the?art in AI and machine learningCollaborate with product managers, engineers, and domain experts to identify opportunities for AI integrationPerform data preprocessing, feature engineering, and model selection for optimal performanceEvaluate and optimize AI models using performance metrics and model validation techniquesCommunicate findings and insights effectively to stakeholders through data storytelling and visualizationMentor and guide junior team members in AI concepts, tools, and best practicesStay current with advancements in AI technologies and methodologies#J-*****-Ljbffr

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