
AI Solutions Engineer
1 day ago
Job Title: AI Data Scientist
About the Role:
We are seeking an experienced professional with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.
The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.
Key Responsibilities:
- Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.
- Apply advanced statistical methods to improve model robustness and interpretability.
- Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.
- Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.
- Work closely with ML engineers to validate, train, and deploy the models.
- Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.
Qualifications & Skills:
- Education: PhD or master's degree in Statistics, Mathematics, or Data Science
- Experience:
- 4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.
- Proficiency in SQL, Python and visualization tools (Power BI).
- Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries.
- Strong communication skills to interact effectively with both technical and non-technical stakeholders.
- Excellent problem-solving skills with the ability to work independently and as part of a team.
- Soft Skills:
- Curiosity to uncover insights and drive innovation in AI-driven solutions.
What We Offer:
A competitive compensation package, opportunities for growth and professional development, and a collaborative work environment that fosters creativity and innovation.
How to Apply:
Please submit your resume and a cover letter outlining your relevant experience and qualifications.
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