Data Scientist & AI/ML Engineer
Company Description:
One of our clients is a leading agronomy company established in 1973 and headquartered in Indonesia. The company manages a diverse business portfolio, including fresh and canned fruit production, livestock farming, and healthy juice and smoothie products. Driven by a mission to provide high-quality, sustainably produced food through innovation, the company continues to grow and advance in the agricultural industry.
Role Overview:
The ideal candidate should have expertise in data analytics, machine learning model development, AI/ML platform deployment, and Generative AI applications. Additionally, experience working with Microsoft Fabric, Azure OpenAI, and data visualization tools like Power BI and Tableau would be highly beneficial.
Key Requirements:
- Strong expertise in Data Science & Machine Learning, including model development and feature engineering.
- Experience with cloud-based AI/ML platforms, preferably Azure ML, AWS SageMaker, or GCP Vertex AI.
- Hands-on experience with Microsoft Fabric and its AI/ML platform for unified data management.
- Knowledge of Generative AI, including Azure OpenAI, LLMs, and NLP applications.
- Proficiency in Python, SQL, and MLOps practices for scalable model deployment.
- Experience with Power BI, Tableau, and Streamlit for AI-driven data visualization.
- Strong business acumen and communication skills to collaborate with stakeholders effectively.
Ready to bring your skills to a place that values them? Please send us your resume to [email protected] .Thank you
Company Description:
One of our clients is a leading agronomy company established in 1973 and headquartered in Indonesia. The company manages a diverse business portfolio, including fresh and canned fruit production, livestock farming, and healthy juice and smoothie products. Driven by a mission to provide high-quality, sustainably produced food through innovation, the company continues to grow and advance in the agricultural industry.
Role Overview:
The ideal candidate should have expertise in data analytics, machine learning model development, AI/ML platform deployment, and Generative AI applications. Additionally, experience working with Microsoft Fabric, Azure OpenAI, and data visualization tools like Power BI and Tableau would be highly beneficial.
Key Requirements:
- Strong expertise in Data Science & Machine Learning, including model development and feature engineering.
- Experience with cloud-based AI/ML platforms, preferably Azure ML, AWS SageMaker, or GCP Vertex AI.
- Hands-on experience with Microsoft Fabric and its AI/ML platform for unified data management.
- Knowledge of Generative AI, including Azure OpenAI, LLMs, and NLP applications.
- Proficiency in Python, SQL, and MLOps practices for scalable model deployment.
- Experience with Power BI, Tableau, and Streamlit for AI-driven data visualization.
- Strong business acumen and communication skills to collaborate with stakeholders effectively.
Ready to bring your skills to a place that values them? Please send us your resume to [email protected] .Thank you