
Lead Data Engineer Position
20 hours ago
Lingaro Group is a global data services partner to leading brands and enterprises. We empower our clients through their data journey, from strategy to operations, helping them unlock the full value of their data.
We are recognized for innovation, technology excellence, and high-quality data services since 2008. Our commitment to data excellence attracts top data talent worldwide.
Data Science and AI Competency Center
This team focuses on leveraging data, analytics, and AI technologies to extract insights, build predictive models, and develop AI-powered solutions. It utilizes exploratory data analysis, statistical modeling, machine learning, model deployment, and integration, as well as model monitoring and maintenance.
The key duties include:
- Running end-to-end initiatives (business understanding, data understanding/preparation, modeling, evaluation, and deployment)
- Analyzing and interpreting findings
- Drawing conclusions and recommendations, including expected benefits and measuring ROI for enhancing business processes
- Supporting pre-sales activities and initiatives
Requirements
- Familiarity with machine learning concepts
- Experience with machine learning, especially in Generative AI (LLM/LMM), Natural Language Processing, or multi-modal models
- Business requirements gathering, transforming them into technical plans, data processing, feature engineering, model evaluation, hypothesis testing, and model deployment
- Fluency in Python, working knowledge of SQL, and vector databases
- Knowledge of specific DS/ML/CVGenAI/NLP libraries like NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs (OpenAI/Gemini)
Nice to have
- Experience in big data and distributed environments
- Commercial experience proven by multiple successful projects in Generative AI, Natural Language Processing, or Computer Vision
General
- Good computer programming skills and object-oriented programming familiarity
- Expertise in Azure cloud resources and Databricks
- Hands-on experience with Docker for containerization
- Strong business acumen
- Creative problem-solving abilities
- Leadership skills to lead small technical teams on projects
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