• Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX. • Craft clean, efficient, and maintainable code adhering to industry best practices and standards. • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. • Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.

• Architect, build, and maintain scalable ETL/ELT pipelines on the Databricks Lakehouse Platform using PySpark, Spark SQL, and Delta Lake. • Design and implement medallion (bronze/silver/gold) data architectures and enforce data quality, governance, and lineage standards. • Optimize Spark jobs and cluster configurations for performance and cost, including partitioning, caching, and autoscaling strategies. • Implement and manage Unity Catalog for access control, data governance, and cross-workspace asset sharing. • Build and orchestrate workflows using Databricks Workflows, Delta Live Tables, and CI/CD pipelines. • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into reliable data products. • Establish engineering best practices, conduct code reviews, and mentor junior data engineers. • Monitor production pipelines, troubleshoot failures, and drive root-cause analysis and continuous improvement.

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources. • Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency. • Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform. • Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs. • Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow). • Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions. • Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions. • Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team.

• Lead and execute the testing and commissioning of the HVDC Valve Cooling and Mechanical and Building Services Systems. • Liaise with Engineering and PM team for timely issuance of data required for preparation of site works (specs, designs, BOQ, material lists, …). • Review Valve Cooling Sub-system & Auxiliary System architecture and drawings. • Check the interfaces between these systems and 3rd party systems including GEV eLumina HVDC Control. • Prepare and maintain commissioning documentation like Program, Procedures, ITPs, Checklists etc. for HVDC Valve Cooling & Auxiliary Systems. • Scheduling, preparing staffing plans, manage site team mobilization and track actuals versus plan for this scope. • Perform, manage and support functional testing of Building Systems (BMS), Mechanical Auxiliary Systems and HVDC Valve Cooling System. • Reporting on regular basis to the Site Commissioning Manager and be the first point of contact for testing and commissioning of HVDC Valve Cooling & Auxiliary systems scope including management of the team of commissioning engineers under this scope. • Publish test reports and follow up completion of relevant quality documentation. • Ensure all Testing & Commissioning activities are performed in accordance with safety protocols and regulatory requirements.