Sr. Data Scientist

As a Senior Data Scientist, you will play a crucial role in designing, developing, and deploying AI/ML products and services based on customer needs. Your responsibilities will include: - Designing data pipelines to support the development and deployment of AI/ML products. - Continually developing capabilities to align with current demand and technology/business capability roadmaps. - Reviewing and integrating all application requirements, such as functional, security, integration, performance, quality, and operations requirements. - Improving technologies used by the team to deliver high-quality products and services to customers. - Implementing all application requirements and working closely with Product Owners and Architects to develop data science products and data pipelines in Modern Data Platforms. - Providing guidance and assistance on technical issues to the team. - Knowledge of handling unstructured, semi-structured, and structured data effectively. Qualifications Required: - 3+ years of experience as a Data Scientist. - Proficiency in cloud data engineering and Big Data services in Azure, AWS, or GCP. - Strong skills in Python and SQL for data analysis, model building, and deployment in production environments. - Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures. - Familiarity with ML stack tools such as scikit-learn, Tensorflow, Keras, and others. - Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments (Snowflake, AWS, Azure, or GCP). - Experience in fine-tuning models for improved accuracy rates. - Strong interpersonal and verbal communication skills. - Strong desire to work in a performance-based environment. - Knowledge of Snowflake Cortex, Snowpark Container is a plus. About the Company: The company is focused on leveraging cutting-edge technologies to develop innovative AI/ML products and services. They offer a collaborative work environment where you will have the opportunity to work on challenging projects and contribute to the growth of the organization. If you are passionate about data science and have the required skills and experience, we encourage you to apply for this exciting opportunity. As a Senior Data Scientist, you will play a crucial role in designing, developing, and deploying AI/ML products and services based on customer needs. Your responsibilities will include: - Designing data pipelines to support the development and deployment of AI/ML products. - Continually developing capabilities to align with current demand and technology/business capability roadmaps. - Reviewing and integrating all application requirements, such as functional, security, integration, performance, quality, and operations requirements. - Improving technologies used by the team to deliver high-quality products and services to customers. - Implementing all application requirements and working closely with Product Owners and Architects to develop data science products and data pipelines in Modern Data Platforms. - Providing guidance and assistance on technical issues to the team. - Knowledge of handling unstructured, semi-structured, and structured data effectively. Qualifications Required: - 3+ years of experience as a Data Scientist. - Proficiency in cloud data engineering and Big Data services in Azure, AWS, or GCP. - Strong skills in Python and SQL for data analysis, model building, and deployment in production environments. - Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures. - Familiarity with ML stack tools such as scikit-learn, Tensorflow, Keras, and others. - Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments (Snowflake, AWS, Azure, or GCP). - Experience in fine-tuning models for improved accuracy rates. - Strong interpersonal and verbal communication skills. - Strong desire to work in a performance-based environment. - Knowledge of Snowflake Cortex, Snowpark Container is a plus. About the Company: The company is focused on leveraging cutting-edge technologies to develop innovative AI/ML products and services. They offer a collaborative work environment where you will have the opportunity to work on challenging projects and contribute to the growth of the organization. If you are passionate about data science and have the required skills and experience, we encourage you to apply for this exciting opportunity.