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Senior Data Expert
2 weeks ago
We are seeking an experienced senior data expert to lead our AI team. The ideal candidate will have a strong background in machine learning and data science, with experience working with Generative AI (LLM/LMM) and Natural Language Processing (NLP).
Key Responsibilities:- Executing end-to-end initiatives, including business understanding, data preparation, modeling, evaluation, and deployment.
- Analyzing and interpreting findings, drawing conclusions, and providing recommendations for enhancing business processes.
- Supporting pre-sales activities.
- Familiarity with theoretical machine learning concepts.
- Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on NLP.
- Experience with 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/CV/GenAI/NLP libraries, such as NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs.
- Experience working with big data and distributed environments would be beneficial.
- Commercial experience proven by multiple successful projects in the area of Generative AI, NLP, or Computer Vision would be advantageous.
Why choose us?
- Employment with over 1300 talented professionals worldwide.
- 100% remote work option available.
- Flexibility regarding working hours.
- Online onboarding program with a 'Buddy' from day one.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day one.
- Certificate training programs with over 500 technology certificates earned annually.
- Upskilling support through capability development programs, competency centers, knowledge sharing sessions, community webinars, and over 110 training opportunities annually.
- Opportunity to grow with the company.
- Diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work.
- Create our community together, referring friends to receive bonuses.
- Activities supporting your well-being and health.
- Opportunities to donate to charities and support the environment.
