Data Scientist

Deskripsi pekerjaan Data Scientist PT. Fortech Indotama

We are seeking a hands-on Data Scientist with strong experience in building and deploying AI/ML-powered applications. This role goes beyond research: you'll work closely with cross-functional teams to develop, integrate, and scale intelligent features in real-world products. You will also handle administrative and operational tasks that keep the data and AI team running smoothly.

Responsibilities

• Design, develop, and deploy AI/ML models to power core features of our applications.
• Collaborate with Product, Engineering, and Design teams to translate business requirements into technical solutions.
• Build end-to-end pipelines from data ingestion and preprocessing to model inference and integration.
• Implement and optimize computer vision models (e.g., YOLO) for real-time applications.
• Integrate LLMs using frameworks like Langchain and manage embeddings via vector databases (e.g., FAISS, Chroma).
• Develop and implement Retrieval-Augmented Generation (RAG) systems using LLMs and vector databases to enhance contextual relevance.
• Develop APIs and backend services for AI features using Python frameworks like Flask, FastAPI, or Django.
• Perform feature engineering, data cleaning, and model evaluation to ensure high performance in production.
• Create clear and actionable dashboards, reports, or tools for monitoring and troubleshooting ML models.
• Stay current with best practices in AI engineering, deployment, and monitoring.

Manage team administration and operations, including project documentation, meeting schedules and minutes, task tracking, and progress reporting.

Maintain organized records of project files, datasets, model documentation, and reports for easy access and audit.

Handle operational administration such as tracking cloud and software subscriptions, licenses, and budgets, and preparing related reports or purchase requests.

• Coordinate with other departments and external vendors on schedules, requirements, and follow-ups.
• Prepare regular operational reports (project status, resource usage, team KPIs) for management.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Physics, or related fields.
• 2+ years of hands-on experience building and deploying ML-powered applications in production.
• Strong proficiency in Python, including ML libraries (scikit-learn, TensorFlow, PyTorch).
• Solid understanding of machine learning tasks: regression, classification, clustering, time series, etc.
• Familiar with LLM integration tools such as Langchain, and handling embeddings with FAISS or Chroma.
• Experience designing or implementing RAG pipelines that combine LLMs with retrieval systems.
• Solid experience building REST APIs and AI services with Flask, FastAPI, or Django.
• Proficient in working with large-scale data using SQL and NoSQL databases.
• Understanding of model deployment, versioning, and monitoring in production environments.
• Comfortable using cloud services (AWS, GCP, Azure) for model training and deployment.
• Familiar with tools for reproducibility and collaboration (Git, MLflow, DVC, etc.).
• Experience with Computer Vision, especially using YOLO (v5/v7/v8) or similar object detection frameworks.
• Strong organizational and time-management skills, with attention to detail in documentation and record-keeping.
• Proficiency with office and collaboration tools (Google Workspace/Microsoft Office, Jira/Trello/Notion, etc.).
• Good written and verbal communication skills for coordinating across teams and vendors.