ABOUT THE JOB
- Accompany clients in delivering business value through AI-driven solutions
- Design, develop, and deploy machine learning models to address complex business challenges
- Create proof-of-concept ML models from datasets to validate solution feasibility
- Collaborate with cross-functional teams to integrate AI models into production environments
- Implement and optimize MLOps pipelines using cloud-based tools
- Apply advanced techniques in computer vision, forecasting, or clustering to solve client problems
- Ensure best practices in data management, model versioning, and reproducibility
- Support clients in understanding and leveraging AI technologies for their business needs.
ABOUT YOU
- Bachelor's Degree in Computer Science, Data Science or related field
- 3+ years of professional experience in AI or machine learning development
- Proficiency in Python, SQL, and Spark
- Experience with MLOps platforms: Sagemaker, AzureML, Vertex AI, or Databricks
- Expertise in machine learning techniques: computer vision, forecasting, or clustering
- Experience with database technologies: Snowflake, BigQuery, Azure Datalake Storage, or Redshift
- Experience with DevOps tools: Docker, Terraform, or Kubernetes
- Fluent communication in English.
- An ability to synthesize complex information and communicate effectively.
WHY AMARIS
- Competitive salary and 13th-month salary
- 14+ annual leaves per year
- Premium healthcare insurance, starting from your probation period
- Project reviews and yearly performance appraisals
- Annual company trips
- Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
- International team with flexible working time
- Tailor-made career path
- Technical workshops and training courses
- Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
Equal Opportunity
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
