We are seeking a talented and driven Engineer – Data & AI to contribute to the development and deployment of innovative Data Analytics and AI solutions. This role focuses on building scalable systems, optimizing data workflows, and applying machine learning techniques to solve real-world problems.
Key Responsibilities
- Build and maintain ETL/ELT pipelines for efficient data integration across multiple sources.
- Develop and deploy AI/ML models including LLMs, RAG systems, and intelligent agents.
- Design and implement predictive analytics solutions such as forecasting and classification models.
- Create and optimize Data Analytics solutions using Microsoft Fabric and Power BI.
- Collaborate with cross-functional teams to deliver high-performance, customer-facing Data, AI, and BI solutions.
- Apply best practices in data engineering, machine learning, and business intelligence.
Ideal Candidate
- Bachelor’s degree in Computer Science, Data Science, AI, or a related field.
- 2–4 years of experience in Data Analytics and AI/ML development.
- Hands-on experience with Microsoft Fabric, Synapse, and Azure AI services.
- Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Familiarity with web frameworks (e.g., Flask), API integrations, and vector databases.
- Exposure to tools like OpenAI, LangChain, and Hugging Face.
- Experience working with cloud platforms (Azure, AWS, GCP) and modern data architectures.
Preferred Certifications
- Microsoft Certified: Power BI Data Analyst (PL-300)
- Microsoft Certified: Fabric Analytics Engineer (DP-600)
If you're passionate about building impactful AI and BI solutions and eager to grow in a dynamic environment, we’d love to hear from you!
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