Join our team of high-caliber professionals to solve problems that don't have answers yet. As a Senior Data Science Engineer, you will work on high-stakes projects that require innovation, accountability, and integrity.
Requirements
- Strong grasp of statistics and probability fundamentals
- Solid understanding of machine learning algorithms for supervised and unsupervised learning
- Understanding of Transformer based models
- Experience developing AI agents
- Strong Python and SQL skills
- Experience with Cloud ML tools and version control (e.g. git)
- Experience with MLOps
- Collaborative, proactive, logical, methodical, and attentive to detail
- Excellent communication skills (verbal and written)
- Ability to collaborate with clients to understand their business problems and design technical solutions using machine learning models
- Ability to develop and deploy machine learning models on Google Cloud
- Ability to stay up-to-date with the latest developments in machine learning and bring new ideas to the team
Benefits
- Competitive base salary
- De Minimis Allowance
- 13th Month Pay: Equivalent to one month’s base salary, paid every December
- Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid)
- Sick Leave: 15 paid days per year, pro-rated from the start date
- Annual Leave: 28 days per calendar year (January 1 – December 31), pro-rated based on start date
- Birthday Leave: An extra paid day off for your birthday
- Learning Leaves: Ten paid learning days per year
- Philippine Public Holidays: Statutory holidays are included
- Bereavement Leave: 3 paid days
- Parental Leave: Maternity or Paternity leave
- Flexible Work Arrangement: Hybrid model (two to three days in the office)
- Peer Recognition: 100 Bonusly points per month for peer recognition