Machine Learning Engineer
hace 2 semanas
About Asenium
Asenium is a leading innovator in AI and workplace automation, committed to harnessing the power of technology to drive business success. Our team of experts is dedicated to developing cutting-edge solutions that enhance productivity, efficiency, and decision-making.
We are seeking an exceptional Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with experience in developing predictive models, creating data-driven strategies, and fine-tuning AI models for query understanding, summarization, and knowledge retrieval.
Key Responsibilities- Data Analysis and Modeling: Develop predictive models to analyze employee behavior and productivity, and create data-driven strategies to improve digital workplace efficiency.
- AI Model Development: Fine-tune AI models for query understanding, summarization, and knowledge retrieval, ensuring they are accurate, explainable, and aligned with business needs.
- Workplace Automation: Analyze workplace data to identify trends and automation opportunities, and ensure AI models are ethical, explainable, and aligned with real-world applications.
- Technical Skills: Strong experience in machine learning, deep learning, and data science, proficiency in Python, R, SQL, and AI frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Candidate Profile: Experience with NLP, predictive modeling, and data-driven decision-making, ability to interpret complex data and provide actionable insights, and strong problem-solving skills and a business-oriented mindset.
- Nice to Have: Experience with digital workplace automation and HR analytics, knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and understanding of AI ethics and explainability.
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