Make the unknown, known! ✨
We’re looking for a Medior or Senior Data Scientist with at least 3 years of experience and a proven track record in developing Generative AI applications. In this role, you’ll apply your expertise in Machine Learning and AI technologies to solve complex challenges and deliver impactful, data-driven solutions.
Your Role Design and develop AI applications (e.g., virtual assistants) that improve user experiences, empower employees with intelligent tools, and automate internal processes.
Apply a wide range of analytical techniques, including Generative and Predictive AI methods such as: Prompt Engineering, RAG, Fine-Tuning, Speech-to-Text, NLP, Image Generation, and Agentic AI.
Classical Machine Learning and Statistical Modeling approaches.
Build and deploy AI models into production, leveraging your strong programming skills in Python and familiarity with modern AI frameworks.
Present insights and results clearly to stakeholders and decision-makers .
Work with diverse and large-scale datasets, applying your analytical mindset to extract meaningful insights.
Collaborate in a lean, innovative, and Agile environment where open communication, teamwork, and shared learning are valued.
Your Profile Education: Master’s degree (or equivalent experience) in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering. Candidates with other backgrounds but strong analytical expertise are welcome.
Experience: Minimum 3 years in Data Science and Analytics, with hands‑on experience in Deep Learning and pre‑trained models .
Technical Skills (Required): Python, Deep Learning frameworks (e.g., PyTorch, TensorFlow)
Experience with pre-trained and Generative AI models
Technical Skills (Preferred): Tools like Domino, Git, and frameworks for GenAI (e.g., Prompt Engineering, Fine‑Tuning, LangGraph, ADK, MCP)
Business Experience (Preferred): Experience developing GenAI applications in Finance or similar domains
Soft Skills: Team player with a business-oriented mindset
Proactive, autonomous, and committed to results
Strong communication and influencing abilities
Excellent analytical and problem-solving skills
Comfortable working in a dynamic, multicultural environment
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