AI Engineer (Innovation)
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Key skills for this role
About the Role
HTC Global Services seeks an AI Engineer (Innovation) with 6+ years of experience to design and develop AI/ML and Generative AI solutions. The role involves building predictive models, LLM-based applications, and deploying AI solutions on Azure.
Key Skills for This Role
Responsibilities
- Design and develop AI/ML and Generative AI solutions
- Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis
- Develop and deploy LLM based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks
- Build intelligent recommendation and personalization engines
- Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems
- Deploy and manage AI solutions on Azure cloud platforms
- Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions
- Ensure model performance, scalability, security, governance, and compliance standards
Requirements
- 6+ years of experience
- Strong 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
- Experience building RAG architectures and Vector Databases
- Strong knowledge of LLMs, Prompt Engineering, Fine tuning, and AI Evaluation frameworks
- Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps
- Experience with MLOps, CI/CD, model deployment, monitoring, and governance
- Knowledge of data engineering concepts, APIs, microservices, and event driven architectures
- Familiarity with SQL, Spark, and large scale data processing
Full Job Posting
About the Role
- We are seeking an AI Engineer (Innovation) with 6+ years of experience with strong 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 (Duties)
- Design and develop AI/ML and Generative AI solutions.
- Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
- Develop and deploy LLM based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
- Build intelligent recommendation and personalization engines.
- Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
- Deploy and manage AI solutions on Azure cloud platforms.
- Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
- Ensure model performance, scalability, security, governance, and compliance standards.
Required Skills
- Experience building RAG architectures and Vector Databases.
- Strong knowledge of LLMs, Prompt Engineering, Fine tuning, and AI Evaluation frameworks.
- Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
- Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
- Knowledge of data engineering concepts, APIs, microservices, and event driven architectures.
- Familiarity with SQL, Spark, and large scale data processing.
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