Selected Intern's Day-to-day Responsibilities Include Sending emails to the client Understanding the email Replying to the client About Company: We, MLAI Digital Limited, are an artificial intelligence fintech providing various cognitive products well-suited for major BFSI institutions in India. We now want to serve the Singapore market and are opening an office in Singapore City. Show more Show less
As an intern at MLAI Digital Limited, you will be responsible for sending emails to clients, understanding the content of the emails, and effectively replying to the clients. The company, specializing in artificial intelligence fintech solutions, offers a range of cognitive products tailored for leading BFSI institutions in India. In line with our expansion plans, we are now gearing up to cater to the Singapore market by establishing an office in Singapore City. Join us in this exciting journey to deliver cutting-edge solutions and services to our clients in Singapore.,
As a Senior Data Engineer at MLAI Digital Ltd, you will be responsible for designing, developing, and maintaining scalable and secure data pipelines and architectures. Your role involves optimizing ETL workflows to ensure high performance and reliability while implementing and monitoring data governance frameworks to maintain data quality and integrity. Collaboration with data scientists, software engineers, and product teams is crucial to delivering end-to-end data solutions. You will analyze large and complex datasets to identify actionable trends, patterns, and insights, as well as develop robust data models that support business intelligence and reporting needs. Maintaining data security, compliance, and privacy in alignment with company policies is a key aspect of your responsibilities. Integration of structured and unstructured data from various internal and third-party sources is essential, along with troubleshooting and resolving data-related issues with minimal supervision. Driving innovation by recommending and implementing improvements in data engineering practices is encouraged, and you will work closely with stakeholders in BFSI to understand requirements and translate them into technical solutions. The ideal candidate must have expertise in SQL and Python for data processing and automation, hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, Luigi), and strong knowledge of data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery). Proficiency in working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), along with a solid understanding of data architecture, data governance, and data lifecycle management is required. Experience in cloud platforms such as AWS, GCP, or Azure, familiarity with containerization (Docker, Kubernetes), and CI/CD processes for data deployment are also essential. Exposure to machine learning pipelines and AI-driven applications is a plus, and experience in BFSI or fintech environments is highly desirable.,
As an intern at MLAI Digital Limited, your day-to-day responsibilities will include: - Sending emails to the client - Understanding the email - Replying to the client MLAI Digital Limited is an artificial intelligence fintech company that provides cognitive products tailored for major BFSI institutions in India. The company is expanding its operations to serve the Singapore market and is in the process of opening an office in Singapore City.,
As a Senior Data Engineer at MLAI Digital Ltd, your role will involve designing, developing, and maintaining scalable and secure data pipelines and architectures. You will be responsible for optimizing ETL workflows to ensure high performance and reliability. Additionally, you will implement and monitor data governance frameworks to maintain data quality and integrity. Collaboration with data scientists, software engineers, and product teams will be key to delivering end-to-end data solutions. Your analytical skills will be utilized to analyze large and complex datasets to identify actionable trends, patterns, and insights. Developing robust data models that support business intelligence and reporting needs will also be part of your responsibilities. Ensuring data security, compliance, and privacy in accordance with company policies is essential. Integration of structured and unstructured data from various internal and third-party sources will be required, along with troubleshooting and resolving data-related issues with minimal supervision. You will be expected to drive innovation by recommending and implementing improvements in data engineering practices and work closely with stakeholders in BFSI to understand requirements and translate them into technical solutions. Key Responsibilities: - Design, develop, and maintain scalable and secure data pipelines and architectures - Optimize ETL workflows to ensure high performance and reliability - Implement and monitor data governance frameworks, ensuring data quality and integrity - Collaborate with data scientists, software engineers, and product teams to deliver end-to-end data solutions - Analyze large and complex datasets to identify actionable trends, patterns, and insights - Develop robust data models that support business intelligence and reporting needs - Ensure data security, compliance, and privacy in accordance with company policies - Integrate structured and unstructured data from various internal and third-party sources - Troubleshoot and resolve data-related issues with minimal supervision - Drive innovation by recommending and implementing improvements in data engineering practices - Work closely with stakeholders in BFSI to understand requirements and translate them into technical solutions Required Skillsets: - Expertise in SQL and Python for data processing and automation - Hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, Luigi) - Strong knowledge of data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery) - Proficient in working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) - Solid understanding of data architecture, data governance, and data lifecycle management - Experience in cloud platforms such as AWS, GCP, or Azure - Familiarity with containerization (Docker, Kubernetes) and CI/CD processes for data deployment - Exposure to machine learning pipelines and AI-driven applications is a plus - Experience in BFSI or fintech environments is highly desirable MLAI Digital Ltd is a leading Artificial Intelligence fintech company specializing in delivering cognitive solutions for major BFSI institutions in India. Their platform automates repetitive tasks using cutting-edge ML and DL algorithms, enhancing operational efficiency. The company's flagship product, Automatic Speech Recognition, provides intelligent voice bots and advanced call center analytics engines to empower financial institutions. As a Senior Data Engineer at MLAI Digital Ltd, your role will involve designing, developing, and maintaining scalable and secure data pipelines and architectures. You will be responsible for optimizing ETL workflows to ensure high performance and reliability. Additionally, you will implement and monitor data governance frameworks to maintain data quality and integrity. Collaboration with data scientists, software engineers, and product teams will be key to delivering end-to-end data solutions. Your analytical skills will be utilized to analyze large and complex datasets to identify actionable trends, patterns, and insights. Developing robust data models that support business intelligence and reporting needs will also be part of your responsibilities. Ensuring data security, compliance, and privacy in accordance with company policies is essential. Integration of structured and unstructured data from various internal and third-party sources will be required, along with troubleshooting and resolving data-related issues with minimal supervision. You will be expected to drive innovation by recommending and implementing improvements in data engineering practices and work closely with stakeholders in BFSI to understand requirements and translate them into technical solutions. Key Responsibilities: - Design, develop, and maintain scalable and secure data pipelines and architectures - Optimize ETL workflows to ensure high performance and reliability - Implement and monit
You will be responsible for designing, developing, and maintaining scalable and secure data pipelines and architectures. Your key responsibilities will include: - Optimizing ETL workflows to ensure high performance and reliability - Implementing and monitoring data governance frameworks to ensure data quality and integrity - Collaborating with data scientists, software engineers, and product teams to deliver end-to-end data solutions - Analyzing large and complex datasets to identify actionable trends, patterns, and insights - Developing robust data models that support business intelligence and reporting needs - Ensuring data security, compliance, and privacy in accordance with company policies - Integrating structured and unstructured data from various internal and third-party sources - Troubleshooting and resolving data-related issues with minimal supervision - Driving innovation by recommending and implementing improvements in data engineering practices - Working closely with stakeholders in BFSI to understand requirements and translate them into technical solutions You are required to have expertise in SQL and Python for data processing and automation. Additionally, the following skillsets are necessary: - Hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, Luigi) - Strong knowledge of data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery) - Proficiency in working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) - Solid understanding of data architecture, data governance, and data lifecycle management - Experience in cloud platforms such as AWS, GCP, or Azure - Familiarity with containerization (Docker, Kubernetes) and CI/CD processes for data deployment - Exposure to machine learning pipelines and AI-driven applications is a plus - Experience in BFSI or fintech environments is highly desirable MLAI Digital Ltd is a leading Artificial Intelligence fintech company that specializes in delivering cognitive solutions for major BFSI institutions in India. Their platform automates repetitive tasks using ML and DL algorithms, enhancing operational efficiency. The company's flagship product is Automatic Speech Recognition, which provides intelligent voice bots and advanced call center analytics engines. You will be responsible for designing, developing, and maintaining scalable and secure data pipelines and architectures. Your key responsibilities will include: - Optimizing ETL workflows to ensure high performance and reliability - Implementing and monitoring data governance frameworks to ensure data quality and integrity - Collaborating with data scientists, software engineers, and product teams to deliver end-to-end data solutions - Analyzing large and complex datasets to identify actionable trends, patterns, and insights - Developing robust data models that support business intelligence and reporting needs - Ensuring data security, compliance, and privacy in accordance with company policies - Integrating structured and unstructured data from various internal and third-party sources - Troubleshooting and resolving data-related issues with minimal supervision - Driving innovation by recommending and implementing improvements in data engineering practices - Working closely with stakeholders in BFSI to understand requirements and translate them into technical solutions You are required to have expertise in SQL and Python for data processing and automation. Additionally, the following skillsets are necessary: - Hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, Luigi) - Strong knowledge of data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery) - Proficiency in working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) - Solid understanding of data architecture, data governance, and data lifecycle management - Experience in cloud platforms such as AWS, GCP, or Azure - Familiarity with containerization (Docker, Kubernetes) and CI/CD processes for data deployment - Exposure to machine learning pipelines and AI-driven applications is a plus - Experience in BFSI or fintech environments is highly desirable MLAI Digital Ltd is a leading Artificial Intelligence fintech company that specializes in delivering cognitive solutions for major BFSI institutions in India. Their platform automates repetitive tasks using ML and DL algorithms, enhancing operational efficiency. The company's flagship product is Automatic Speech Recognition, which provides intelligent voice bots and advanced call center analytics engines.