Note: The job is a remote job and is open to candidates in USA. LingaTech is seeking an AI Solution Engineer to design, develop, deploy, and optimize end-to-end artificial intelligence solutions. The role focuses on machine learning, generative AI, RAG, data engineering, enterprise data platforms, solution evaluation, and collaboration with technical and business stakeholders.
Responsibilities
- Design, develop, deploy, and optimize machine learning, generative AI, and Retrieval-Augmented Generation (RAG) solutions
- Build AI applications and models, including predictive analytics, classification, recommendation engines, and natural language processing solutions
- Evaluate AI solutions for performance, accuracy, bias, reliability, and opportunities for improvement
- Develop and maintain scalable data pipelines, ETL/ELT processes, and data preparation workflows for structured and unstructured data
- Perform data profiling, cleansing, validation, transformation, and quality management to support analytics and AI initiatives
- Support enterprise data architectures and platforms, including data lakes, lakehouses, and data warehouses
- Integrate and manage data from cloud, on-premises, API, and third-party systems
- Apply best practices for data governance, metadata management, lineage, security, and Responsible AI
Skills
- Experience developing and implementing machine learning and generative AI solutions
- Experience designing and developing Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources
- Strong knowledge of data engineering principles, including ETL/ELT, data pipelines, and data quality management
- Experience working with enterprise data platforms, including data lakes, lakehouses, and data warehouses
- Proficiency in Python, SQL, PySpark, REST APIs, and modern cloud-based AI and data technologies
- Understanding of data governance, metadata management, data lineage, data security, and Responsible AI best practices
- Strong analytical and problem-solving skills
- Strong written and verbal communication skills with the ability to collaborate effectively across technical and business teams
- Experience building and optimizing predictive models, classification models, recommendation engines, and natural language processing applications
- Experience integrating data from multiple enterprise environments, including cloud, on-premises, APIs, and third-party systems
- Experience evaluating and improving AI model performance, accuracy, reliability, and bias
- Experience supporting end-to-end AI solution development, from data ingestion and preparation through deployment and ongoing optimization
- Familiarity with scalable enterprise data architectures and modern cloud-based AI and analytics ecosystems
Benefits
- Remote work arrangement
Company Overview
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