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).
Collaborate with clients to understand their business problems and design technical solutions using machine learning models.
Develop and deploy machine learning models on Google Cloud.
Use version control and agile working practices.
Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships.
Provides valuable feedback and acknowledges achievements in a constructive manner.
Utilizes diverse influencing techniques to achieve goals.
Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations.
Maintains a delicate balance between personal and team objectives.
Displays sensitivity to the needs of others and readily offers assistance when needed.
Capable of independently developing data solutions using appropriate tools and techniques.
Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas.
Adept at evaluating and incorporating new technologies into existing solutions.
Provides expert advice and support to customers in defining effective solutions.
Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.
Nice to have: Experience with data vectorization and emerging vector-based technologies.
Knowledge of GCP data and ML services.

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.
Diversity and Inclusion.

Senior Data Science Engineer

Key skills