Data & Ai Engineer
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About the Role
We are looking for a highly skilledData & AI Engineerto join an innovative team focused on building next-generation AI and Data solutions.
The ideal candidate combines strong software engineering skills with hands-on experience in Machine Learning, Generative AI, and modern Data Platforms.
You will design, develop, and deploy scalable data pipelines and AI solutions while working closely with Data Scientists, AI Engineers, and business stakeholders.
Key Responsibilities
Design and develop scalable data pipelines using Python, Spark, and SQL.
Build and maintain AI/ML models for production environments.
Develop and optimize Generative AI and LLM-based solutions.
Implement RAG architectures, vector databases, and prompt engineering best practices.
Work with Databricks to build and manage modern data platforms.
Process and transform large-scale datasets using Spark.
Deploy AI and ML workloads in cloud environments.
Collaborate with multidisciplinary teams to deliver innovative data-driven products.
Monitor, maintain, and improve performance of AI applications.
Mandatory Requirements
Strong experience withPython(3+ years)
Experience withMachine Learningand AI projects
Experience working withLarge Language Models (LLMs)andGenerative AI
Strong knowledge ofSQL
Experience withDatabricks
Strong experience withApache Spark / PySpark
Understanding of data engineering concepts and ETL/ELT processes
Experience with Git and software engineering best practices
FluentEnglish(minimum B2 level)
Nice to Have
Knowledge of LangChain, LlamaIndex, Semantic Kernel or similar frameworks
Experience with MLOps tools and CI/CD pipelines
Docker and Kubernetes knowledge
Azure, AWS or GCP certifications
We've got you covered
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