Location: Meruya, West Jakarta
Full-time I Hybrid (3WFO + 2WFH)
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We are looking for a ML Engineer with strong expertise in Data Science and exposure to Generative AI to join our growing team.
Key Responsibilities:
- Design, develop, and implement machine learning and generative AI models aligned with business objectives.
- Own end-to-end ML/AI projects: from scoping, data preparation, model development, deployment, monitoring, to continuous improvement.
- Collaborate with stakeholders to translate business needs into actionable technical solutions.
- Proactively identify opportunities where AI/ML can deliver business impact.
- Ensure scalability, reliability, and cost-efficiency in solutions using best practices in MLOps and cloud-native architecture.
- Continuously optimize ML pipelines and workflows for performance.
- Stay ahead with the latest AI/ML advancements (esp. Generative AI) and advocate adoption within the team.
- Take ownership and demonstrate accountability across the project lifecycle.
Qualifications:
- 3–5 years of relevant experience in Data Science / Machine Learning.
- Proficiency in Python (preferred), R, or Julia.
- Proven track record in the end-to-end ML lifecycle (data preprocessing, feature engineering, model building, deployment, monitoring, optimization).
- Hands-on with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
- Familiarity with Generative AI (LLMs, embeddings, prompt engineering, fine-tuning, vector DBs, RAG).
- Experience with structured databases (MySQL, PostgreSQL, Snowflake) and unstructured data (Elasticsearch, MongoDB).
- Hands-on with cloud platforms (AWS preferred, GCP/Azure a plus).
- Bonus: MLOps expertise (CI/CD for ML, pipeline orchestration, model registry, monitoring).
- Strong foundation in math, statistics, and problem-solving.
Why Join Us?
Opportunity to work on impactful AI/ML projects.
Collaborative and innovative team environment.
Career growth, health insurance, meals provided, etc.