Job
Description
As an experienced Data Scientist at Sentient Scripts, your role will entail utilizing your technical expertise in data engineering and analytics. You will be responsible for designing, developing, and maintaining data pipelines and analytical models, with a specific focus on Generative AI and Large Language Models (LLMs). Your strong background in Python, open-source models, and analytical frameworks will enable you to drive data-driven insights and contribute to cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines for processing structured and unstructured data, specifically tailored for analytical, Generative AI, and LLM-based applications. - Develop and implement analytical models, Generative AI solutions, and LLM workflows using Python, open-source frameworks, and libraries. - Collaborate with cross-functional teams to define data requirements and derive actionable insights from complex datasets to empower AI-driven systems. - Engage in hands-on development for in-house R&D projects, exploring innovative data solutions, Generative AI use cases, and LLM integrations. - Ensure data quality, integrity, and security across all systems and processes, with a particular emphasis on AI model training and deployment. - Document workflows, processes, and technical specifications to facilitate knowledge sharing and scalability. - Stay abreast of industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - Perform BI Visualization in powerBI/Tableau. Qualification Required: - 3-5 years of professional experience in data engineering, data analysis, or related roles. - Proficiency in Python programming for data processing, analysis, and model development, including Generative AI and LLM applications. - Hands-on experience with open-source data tools, frameworks, and LLM ecosystems. - Strong knowledge of analytical modeling techniques, encompassing statistical analysis, machine learning, Generative AI, and data visualization. - Experience working with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. - Problem-solving mindset with a passion for innovation and R&D in AI technologies. Sentient Scripts offers you the opportunity to work on groundbreaking R&D projects with real-world impact, focusing on Generative AI and LLM innovations. You will be part of a collaborative and dynamic work environment that prioritizes growth and learning. As an experienced Data Scientist at Sentient Scripts, your role will entail utilizing your technical expertise in data engineering and analytics. You will be responsible for designing, developing, and maintaining data pipelines and analytical models, with a specific focus on Generative AI and Large Language Models (LLMs). Your strong background in Python, open-source models, and analytical frameworks will enable you to drive data-driven insights and contribute to cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines for processing structured and unstructured data, specifically tailored for analytical, Generative AI, and LLM-based applications. - Develop and implement analytical models, Generative AI solutions, and LLM workflows using Python, open-source frameworks, and libraries. - Collaborate with cross-functional teams to define data requirements and derive actionable insights from complex datasets to empower AI-driven systems. - Engage in hands-on development for in-house R&D projects, exploring innovative data solutions, Generative AI use cases, and LLM integrations. - Ensure data quality, integrity, and security across all systems and processes, with a particular emphasis on AI model training and deployment. - Document workflows, processes, and technical specifications to facilitate knowledge sharing and scalability. - Stay abreast of industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - Perform BI Visualization in powerBI/Tableau. Qualification Required: - 3-5 years of professional experience in data engineering, data analysis, or related roles. - Proficiency in Python programming for data processing, analysis, and model development, including Generative AI and LLM applications. - Hands-on experience with open-source data tools, frameworks, and LLM ecosystems. - Strong knowledge of analytical modeling techniques, encompassing statistical analysis, machine learning, Generative AI, and data visualization. - Experience working with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. - Problem-solving mindset with a passion for innovation and R&D in AI
