Qureos Mentor

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
 
 AI Engineer
 
 for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 </li>
 </ul>
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 
</div>

AI Engineer

<div>
 
 Job Description
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Data Engineer (Innovation) with 6+ years of experience to design, develop and maintain data pipelines to support AI initiatives.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Collaborate with data scientists to understand requirements and ensure data availability and quality.
 </li>
 <li>
 Implement data processing and transformation logic to prepare data for analysis and modelling.
 </li>
 <li>
 Monitor and optimize data pipelines for performance, scalability, and reliability.
 </li>
 <li>
 Stay abreast of the latest advancements in data engineering technologies and best practices.
 </li>
 <li>
 Contribute to low-level architecture/technical design aligned to the high-level solution and business
 </li>
 <li>
 requirements
 </li>
 <li>
 Work within the agile development team to analyse and decompose stories into tasks for simpler
 </li>
 <li>
 implementation
 </li>
 <li>
 Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
 </li>
 <li>
 Responsible for the end-to-end quality of your own deliverables
 </li>
 <li>
 Communicate clearly and effectively with team members throughout all the implementation lifecycle
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
 </li>
 <li>
 Strong understanding of database technologies and SQL.
 </li>
 <li>
 Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
 
 
 </li>
 </ul>
</div>

Data Engineer (Innovation)

<div>
 
 Job Description
 
 
 
 
 About the Role:
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 
 
 </li>
 </ul>
</div>

AI Engineer (Innovation)

<div>
 
 Job Description
 
 
 
 Job Title
 
 
 Agile Scrum Master / Delivery Lead
 
 
 
 Overview / Summary
 
 
 
 We are seeking an experienced Agile professional to support Scrum board ownership in partnership with the Product Owner. This role will help drive work item quality, ensure delivery completion, support cross-team collaboration, and maintain adherence to Agile best practices within a SAFe Agile environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own and manage the Scrum board in partnership with the Product Owner
 </li>
 <li>
 Work within SAFe Agile methodology and create cards where needed
 </li>
 <li>
 Ensure cards are followed through to completion
 </li>
 <li>
 Represent the team and their work in cross-team ceremonies
 </li>
 <li>
 Vet work items to ensure robust business acceptance criteria
 </li>
 <li>
 Vet work items to ensure robust technical acceptance criteria
 </li>
 <li>
 Ensure adherence to the Definition of Done and help mature the definition over time
 </li>
 <li>
 Partner with upstream and downstream teams to ensure all required needs are met
 </li>
 <li>
 Ensure robust test plans are in place
 </li>
 <li>
 Eliminate unvetted assumptions across work items and processes
 </li>
 <li>
 Support testing and validation activities as needed
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 At least 3 years of experience in a role supporting the listed responsibilities
 </li>
 <li>
 Experience with SAFe Agile methodology
 </li>
 <li>
 Excellent critical thinking skills with the ability to bring clarity out of confusion
 </li>
 <li>
 Self-starter with curiosity and eagerness to strengthen team performance
 </li>
 <li>
 Highly analytical with the ability to dig into cards and topics
 </li>
 <li>
 Willingness to &ldquo;get hands dirty&rdquo; and assist with testing and validation
 </li>
 <li>
 Scrum Master or Advanced Scrum Master certifications preferred
 
 
 </li>
 </ul>
 
 
 What Makes HTC A Great Place To Build Your Future
 
 
 
 
 HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you&rsquo;ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You&rsquo;ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
 
 
 At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
 
 
 Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
 
 
</div>

Scrum Master

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring Azure Data bricks - Lead (Airline Project) for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 <ul>
 <li>
 Lead and manage a team of Data Engineers, providing technical guidance, mentorship, and performance coaching.
 </li>
 <li>
 Design, develop, and optimize large-scale data pipelines using Azure Databricks and PySpark.
 </li>
 <li>
 Architect and implement modern data lake and lakehouse solutions using Azure Data Lake Storage (ADLS).
 </li>
 <li>
 Build and maintain batch and real-time streaming data pipelines using technologies such as Azure Event Hubs, Kafka, Spark Streaming, or Structured Streaming.
 </li>
 <li>
 Collaborate with Solution Architects, Data Scientists, Product Owners, and business stakeholders to define data requirements and technical solutions.
 </li>
 <li>
 Establish data engineering best practices, coding standards, CI/CD processes, and governance frameworks.
 </li>
 <li>
 Ensure high availability, scalability, security, and performance of data platforms.
 </li>
 <li>
 Drive Agile delivery, sprint planning, effort estimation, and technical reviews.
 </li>
 <li>
 Troubleshoot complex data engineering challenges and optimize platform performance.
 </li>
 <li>
 Evaluate emerging technologies and recommend improvements to the organization's data architecture.
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong experience with Azure Data Engineering ecosystem.
 </li>
 <li>
 Expert-level proficiency in Azure Databricks.
 </li>
 <li>
 Strong hands-on experience with PySpark and Apache Spark.
 </li>
 <li>
 Experience with Azure Data Lake Storage (ADLS Gen2).
 </li>
 <li>
 Expertise in designing and implementing streaming data solutions using:
 </li>
 <li>
 Spark Structured Streaming
 </li>
 <li>
 Azure Event Hubs
 </li>
 <li>
 Apache Kafka
 </li>
 <li>
 Real-time data processing frameworks
 </li>
 <li>
 Experience with Azure Data Factory (ADF) for orchestration and ETL workflows.
 </li>
 <li>
 Strong SQL and data modeling skills.
 </li>
 <li>
 Experience with Delta Lake and Lakehouse architecture.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Azure DevOps, Git, and Infrastructure as Code.
 </li>
 <li>
 Experience working with large-scale enterprise data platforms.
 </li>
 <li>
 Strong experience with
 
 Databricks Unity Catalog
 
 for enterprise data governance, access control, metadata management, and secure data sharing across multiple workspaces.
 </li>
 <li>
 Hands-on experience with
 
 Lakeflow Declarative Pipelines (formerly Delta Live Tables)
 
 for building scalable, reliable, and maintainable data ingestion and transformation pipelines.
 </li>
 <li>
 Expertise in implementing data quality checks, monitoring, lineage, and orchestration using Databricks-native pipeline capabilities.
 </li>
 <li>
 Experience working with
 
 Databricks Genie
 
 and AI-powered conversational analytics to enable business users to interact with enterprise data through natural language interfaces.
 </li>
 <li>
 Knowledge of integrating Generative AI capabilities within the Databricks ecosystem, including leveraging Databricks AI/BI, Genie Spaces, and Lakehouse AI features.
 </li>
 <li>
 Strong understanding of Delta Lake optimization techniques, including partitioning, clustering, performance tuning, and data lifecycle management.
 </li>
 <li>
 Experience in designing and implementing modern Lakehouse architectures using Databricks, Unity Catalog, Delta Lake, and Azure Data Lake Storage (ADLS).
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Databricks Certified Data Engineer Professional.
 </li>
 <li>
 Experience implementing enterprise-wide data governance frameworks using Unity Catalog.
 </li>
 <li>
 Exposure to Databricks AI/BI, Genie, Mosaic AI, Vector Search, and Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Experience supporting self-service analytics and business intelligence solutions using Databricks Lakehouse Platform.
 </li>
 <li>
 Experience leading modernization initiatives involving migration from traditional data warehouses to Databricks Lakehouse.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #Uaejobs #DataLead #Azuredata #ADB #Databricks
 
</div>

Azure Databricks Lead - Airline Domain