
Data Solution Specialist
2 days ago
Lingaro Group is a leading data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.
Our Data Science/AI Competency Center focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI-powered solutions. Utilizing Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance, we deliver business solutions using multiple AI techniques and tools.
The key duties are:
- Running end-to-end initiatives, including business understanding, data 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 theory behind various machine learning concepts
- Experience with Machine Learning (ML), especially in Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi-modal models
- Experience with business requirements gathering, transforming them into technical plans, data processing, feature engineering, models 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 i.e. OpenAI/Gemini
Nice to have:
- Experience in working with big data and distributed environments would be a plus
- Commercial experience proven by multiple successful projects in Generative AI, Natural Language Processing, or Computer Vision would be a significant plus
General:
- Good computer programming skills and familiarity with object-oriented programming concepts
- Expertise in Azure cloud resources, Databricks
- Hands-on experience with Docker for containerization
- Strong business acumen
- Ability to come up with creative solutions to address customer problems
- Ability to lead small technical teams on projects
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