Company Description MLAI_Digital is a GenAI_Agentic Specialised Organisation(8 Years old) providing Various Cognitive Products well suited for major BFSI Institutions. Offices in US(ohio) 🇺🇸 ,Singapore 🇸🇬 (PTE), Malaysia , India 🇮🇳 and Australia(MEL) 🇦🇺 Domain expertise:- FINANCIAL INSTITUTIONS(Banks & Insurance) and Fraud Analytics for Financial Transactions Role Description This is a full-time on-site role for a GenAI Engineer located in Mumbai. Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of MLAI Digital team working in Mumbai and delivering projects to world leaders in various fields, like Finances, Insurance and others. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Skills/Qualifications:- Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Programming experience in Scala or Python, SQL • Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory • Ability to code • Ability to use word to create required technical documentation • Soft Skills • Excellent written and verbal skills (English) • Flexible • Self-Starter • Team Player or individual contributor
Company Description MLAI_Digital is a GenAI_Agentic Specialised Organisation(8 Years old) providing Various Cognitive Products well suited for major BFSI Institutions. Offices in US(ohio) 🇺🇸 ,Singapore 🇸🇬 (PTE), Malaysia , India 🇮🇳 and Australia(MEL) 🇦🇺 Domain expertise:- FINANCIAL INSTITUTIONS(Banks & Insurance) and Fraud Analytics for Financial Transactions Role Description This is a full-time on-site role for a Senior Databricks Engineer located in Mumbai. As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Note: This is a data engineer from the application side. Must be able to analyze data and develop strategies for populating data lakes. This is not an infrastructure position. This person may be called upon to do complex coding using U-SQL, Scala or Python and T-SQL. Skills/Qualifications • Expertise in Any ETL tool i.e. (SSIS, Informatica, Data Stage) • Expertise to Implementing Data warehousing Solutions • experience as Data Engineer in Azure Big Data Environment • Programming experience in Scala or Python, SQL • Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory • Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW • Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale • Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment • Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts • Proficient in a source code control system such as GIT • Knowledge of C# • Ability to code • Ability to use word to create required technical documentation • Soft Skills • Excellent written and verbal skills (English) • Flexible • Self-Starter • Team Player or individual contributor
As a Senior Databricks Engineer at MLAI_Digital, you will be responsible for working on-site in Mumbai to deliver solutions on the Azure Cloud using core cloud data warehouse tools like Azure Data Factory, Azure Databricks, Azure SQL DW, and other Big Data related technologies. Your main focus will be on building the next generation of application data platforms and improving recent implementations. This role requires expertise in analyzing data, developing strategies for populating data lakes, and complex coding using U-SQL, Scala or Python, and T-SQL. **Key Responsibilities:** - Implementing Data warehousing Solutions - Programming experience in Scala or Python, SQL - Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) - Good understanding of Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW - Building data analytics solutions on Azure Databricks platform - Applying analytical and problem-solving skills in a big data environment - Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts - Proficient in source code control systems like GIT - Ability to code and create technical documentation using Word - Knowledge of C# **Qualifications Required:** - Expertise in any ETL tool (SSIS, Informatica, Data Stage) - Experience as a Data Engineer in an Azure Big Data Environment - Good understanding of Azure Databricks platform - Demonstrated analytical and problem-solving skills - Excellent written and verbal communication skills in English - Soft skills like being flexible, a self-starter, and a team player or individual contributor MLAI_Digital is a GenAI_Agentic Specialised Organisation with domain expertise in Financial Institutions and Fraud Analytics for Financial Transactions. The company has offices in the US, Singapore, Malaysia, India, and Australia, providing various cognitive products tailored for major BFSI institutions.,