ABOUT THE JOB
- Contribute to pre-sales phases in collaboration with managers and teams
- Prepare technical proposals, solution designs, and supporting documents for bids and tenders
- Design, develop, and deploy AI and Machine Learning solutions (predictive models, NLP, LLM, computer vision, generative AI, recommendation systems, etc.)
- Translate business challenges into robust data-driven solutions
- Work closely with clients and internal teams to deliver end-to-end AI projects
- Ensure model performance, scalability, and reliability in production environments
- Contribute to technical choices, architecture, and best practices
- Share knowledge within the community and support the growth of other consultants.
ABOUT YOU
- Bachelor's Degree in Data Science, Artificial Intelligence or related field
- 5+ years of experience in AI, Machine Learning, or Data Science related position.
- Proven exposure to pre-sales activities (technical proposals, solution design, client interactions)
- Strong expertise in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
- Solid understanding of MLOps, model deployment, and cloud platforms (AWS, GCP, or Azure)
- Comfortable explaining complex AI topics to non-technical stakeholders
- Fluent communication in English
- Autonomous, structured, and proactive, with a strong sense of ownership.
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 trip
- 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 promote 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.
