Senior Data Scientist and Lead Engineer
1 month ago
- Develop innovative solutions to address customer challenges using AI and ML.
- Lead data-driven decision-making by uncovering key insights that impact the business.
- Design and deploy algorithms, models, and pipelines to production.
- Lead and mentor junior data scientists, engineers, and product managers to deliver solutions and products on time.
- Coach and develop staff, including onboarding new employees and providing career development planning and opportunities.
- Establish scalable, efficient processes for large-scale data analysis, model deployment, and validation.
- Publish high-quality work under IEEE conferences.
- Bachelor's or Master's degree in Computer Science, Electrical/Electronic Engineering, or related field.
- 4+ years of professional experience in machine learning, deep learning, data science, and large data analysis.
- Experience with at least one DL framework, such as PyTorch or TensorFlow.
- 3+ years of experience with RNN, LSTM, GRU Networks, and CNN.
- 3+ years of experience with Python, R, or other programming languages.
- Hands-on experience with OpenCV and good understanding of modern clouds, server architectures, and their components.
- Experience with BERT, LLM's, Multi-Modals, and building RAG pipelines using AI Agents and LLM's.
- Experience with scientific and machine learning libraries, such as SciPy, SciKit-learn, and numPy.
- Ability to explain and present analyses and machine learning concepts to a broad technical audience.
- 2+ years of experience in statistical analysis, designing ML models, and working with big data.
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