Responsibilities
- Collaborate with cross-functional teams to analyze large datasets, develop machine-learning models, and deploy solutions to solve complex business problems.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 2+ years of experience in data science, with a strong emphasis on Machine Learning (ML), Computer Vision, Deep Learning, and Generative AI.
- Proven experience in deploying machine learning models in production environments.
- Proficiency in Python, R, or similar programming languages for data analysis and model development.
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Strong experience with data wrangling, feature engineering, and preprocessing techniques.
- Strong knowledge of SQL and NoSQL databases for data manipulation and retrieval.
Preferred Qualifications (Nice to Have)
- Master’s degree preferred.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
Benefits
- Opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously.
- Fully remote work environment.
- Exposure to cutting-edge technologies and international clients spanning various industries.
- Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement.
- Profitable and bootstrapped company.
- Flexible working hours with a 5-day workweek.
- Over 30 paid leaves annually.
- Merit-based compensation with above-average annual increments.
- Sponsored team luncheons, festive celebrations, and semi-annual retreats.
Location
Category
AI & Machine Learning