We are seeking an experienced Data Engineer/Analyst to join our innovative team at Sentient Scripts. This role combines technical expertise in data engineering and analytics with leadership responsibilities. The successful candidate will design, develop, and maintain data pipelines and analytical models, with a focus on Generative AI and Large Language Models (LLMs), while also leading a team of interns to support in-house Research and Development (R&D) projects. With a strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance our cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines to process structured and unstructured data 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 deliver actionable insights from complex datasets, including those powering AI-driven systems. - Lead, mentor, and manage a team of interns, providing technical guidance, project oversight, and fostering a collaborative learning environment. - Conduct 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, particularly for AI model training and deployment. - Document workflows, processes, and technical specifications to support knowledge sharing and scalability. - Stay updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualisation in powerBI/tableau Required Qualifications: - 5-7 years of professional experience in data engineering, data analysis, or a related role. - 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 and frameworks and LLM ecosystems. - Strong knowledge of analytical modeling techniques, including statistical analysis, machine learning, Generative AI, and data visualization. - BI Visualisation in powerBI/tableau - Experience working with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Proven ability to lead and mentor junior team members or interns, with excellent communication and organizational skills. - 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. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. What We Offer: - Opportunity to work on groundbreaking R&D projects with real-world impact, including Generative AI and LLM innovations. - A collaborative and dynamic work environment with a focus on growth and learning.Experience - 5 Years to 8 Years

Description: We are seeking a skilled Cloud Architect with expertise in Azure, Databricks, and Snowflake to join our team. The ideal candidate will be responsible for designing and implementing cloud solutions to meet our organization's needs. Responsibilities: Designing and implementing cloud architecture solutions using Azure, Databricks, and Snowflake - Collaborating with cross-functional teams to ensure successful implementation of cloud projects - Providing technical guidance and support to team members on cloud-related issues Qualifications: Proven experience as a Cloud Architect - Strong knowledge of Azure, Databricks, and Snowflake - Excellent communication and teamwork skills - Bachelor's degree in Computer Science or related field Experience - 20 Years to 25 Years Salary - 1850000 to 2500000 Show more Show less

Were looking for a seasoned professional with hands-on experience in managing enterprise infrastructure and security. The ideal candidate will have expertise in tools like HP Lighthouse for cloud and infrastructure orchestration and Algosec for network security policy management. Youll be responsible for ensuring secure, scalable, and efficient IT operations across hybrid environments. Experience - 6 Years to 8 Years Show more Show less

Job Summary We are seeking a skilled and proactive Data Engineer with 3–4 years of hands-on experience in building robust data solutions on the Azure platform. The ideal candidate will have expertise in Azure Data Factory, Azure Data Lake, Azure Databricks, SQL, and Python, with additional experience in Power BI or Tableau considered a plus. You will be instrumental in developing and maintaining scalable data pipelines and ensuring efficient data integration and transformation to drive business intelligence and analytics initiatives. Key Responsibilities •Design, build, and manage data pipelines and data integration workflows using tools like Azure Data Factory and Azure Databricks. •Develop scalable ETL/ELT processes to ingest and transform structured and unstructured data from various internal and external sources. •Implement data warehousing solutions using Azure Synapse Analytics, Delta Lake, or other suitable Azure storage layers. •Collaborate with Data Scientists, Analysts, and Business Stakeholders to understand data requirements and deliver data models that support advanced analytics and reporting. •Optimize data workflows for performance and cost efficiency in a cloud-first environment. •Manage data in Azure Data Lake Gen2, including partitioning, schema management, and access control. •Ensure data quality, security, and compliance with organizational and industry standards. •Monitor and troubleshoot data pipeline issues; implement logging, alerting, and recovery mechanisms. •Maintain comprehensive documentation of pipelines, data flow diagrams, and design specifications. •Contribute to the development and enforcement of data governance and metadata management practices. Required Skills and Qualifications •3–4 years of data engineering experience, preferably in a cloud environment. •Strong proficiency in: •Python for data manipulation and pipeline orchestration •SQL for querying and transforming large datasets •Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, and Synapse Analytics •Experience in building Delta Lake tables, working with Apache Spark, and optimizing performance within Databricks notebooks or jobs. •Understanding of DevOps for Data using tools like Azure DevOps, Git, and CI/CD pipelines for deploying data workflows. •Familiarity with Power BI or Tableau for data validation or collaboration with reporting teams. •Experience with handling semi-structured data (JSON, Parquet, CSV, XML). •Knowledge of data governance, security (RBAC, ACLs), and compliance best practices. Preferred/Bonus Skills •Working knowledge of Microsoft Purview for data cataloging and governance. •Exposure to event-driven architecture using Event Hubs, Service Bus, or Azure Functions. •Experience with streaming data pipelines using Azure Stream Analytics or Structured Streaming in Databricks. •Familiarity with cost monitoring and performance tuning in cloud environments. Experience - 3 Years to 4 Years

We are seeking an experienced Data Scientist to join our innovative team at Sentient Scripts. This role combines technical expertise in data engineering and analytics. The successful candidate will design, develop, and maintain data pipelines and analytical models, with a focus on Generative AI and Large Language Models (LLMs). With a strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance our cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines to process structured and unstructured data 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 deliver actionable insights from complex datasets, including those powering AI-driven systems. - Conduct 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, particularly for AI model training and deployment. - Document workflows, processes, and technical specifications to support knowledge sharing and scalability. - Stay updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualisation in powerBI/tableau Required Qualifications: - 2-5 years of professional experience in data engineering, data analysis, or a related role. - 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 and frameworks and LLM ecosystems. - Strong knowledge of analytical modeling techniques, including statistical analysis, machine learning, Generative AI, and data visualization. - BI Visualisation in powerBI/tableau - 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. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. What We Offer: - Opportunity to work on groundbreaking R&D projects with real-world impact, including Generative AI and LLM innovations. - A collaborative and dynamic work environment with a focus on growth and learning. Experience - 2 Years to 5 Years

We are seeking an experienced Data Scientist to join our innovative team at Sentient Scripts. This role combines technical expertise in data engineering and analytics. The successful candidate will design, develop, and maintain data pipelines and analytical models, with a focus on Generative AI and Large Language Models (LLMs). With a strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance our cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines to process structured and unstructured data 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 deliver actionable insights from complex datasets, including those powering AI-driven systems. - Conduct 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, particularly for AI model training and deployment. - Document workflows, processes, and technical specifications to support knowledge sharing and scalability. - Stay updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualisation in powerBI/tableau Required Qualifications: - 3-5 years of professional experience in data engineering, data analysis, or a related role. - 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 and frameworks and LLM ecosystems. - Strong knowledge of analytical modeling techniques, including statistical analysis, machine learning, Generative AI, and data visualization. - BI Visualisation in powerBI/tableau - 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. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. What We Offer: - Opportunity to work on groundbreaking R&D projects with real-world impact, including Generative AI and LLM innovations. - A collaborative and dynamic work environment with a focus on growth and learning. Experience - 2 Years to 6 Years

We are seeking an experienced Data Scientist to join our innovative team at Sentient Scripts. This role combines technical expertise in data engineering and analytics. The successful candidate will design, develop, and maintain data pipelines and analytical models, with a focus on Generative AI and Large Language Models (LLMs). With a strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance our cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines to process structured and unstructured data 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 deliver actionable insights from complex datasets, including those powering AI-driven systems. - Conduct 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, particularly for AI model training and deployment. - Document workflows, processes, and technical specifications to support knowledge sharing and scalability. - Stay updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualisation in powerBI/tableau Required Qualifications: - 3-5 years of professional experience in data engineering, data analysis, or a related role. - 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 and frameworks and LLM ecosystems. - Strong knowledge of analytical modeling techniques, including statistical analysis, machine learning, Generative AI, and data visualization. - BI Visualisation in powerBI/tableau - 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. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. What We Offer: - Opportunity to work on groundbreaking R&D projects with real-world impact, including Generative AI and LLM innovations. - A collaborative and dynamic work environment with a focus on growth and learning. Experience - 2 Years to 6 Years