Data AI Engineer

6 days ago


Jakarta, Jakarta, Indonesia Nityo Infotech Indonesia Full time $60,000 - $120,000 per year

Requirement:

  1. To strengthen data-driven decision-making, model development, and AI implementation across business units.

  2. The position will be responsible for developing, training, and deploying machine learning models, ensuring production-grade

reliability and performance.

  1. Increasing demand for AI automation, recommendation systems, and predictive analytics within the company's digital transformation roadmap.

4.
Excellent knowledge and hands-on experience with Python, SQL, and data libraries such as Pandas, NumPy, Scikit-learn, and

TensorFlow/PyTorch

  1. Strong understanding of
    machine learning algorithms, model evaluation, and feature engineering

6.
Experience with data visualization tools

(e.g., Power BI, Tableau, Plotly, or Matplotlib/Seaborn)

7.
Working knowledge of cloud-based AI platforms

(AWS SageMaker, GCP Vertex AI, or Azure ML)

8.
Familiarity with data pipelines, ETL, and MLOps concepts

(CI/CD for ML, Docker, Airflow, MLflow, etc.)

  1. Knowledge of big data frameworks (Spark, Databricks, or similar) is a
    plus

10.
Solid understanding of data governance, security, and privacy compliance

11.
Training or certification

in Machine Learning, Deep Learning, or Data Engineering preferred

12.

Familiarity with Agile development and MLOps practices

Job Description:

  1. Collect, clean, and preprocess large structured and unstructured datasets

  2. Develop, validate, and deploy machine learning and AI models for prediction, classification, clustering, and recommendation

  3. Collaborate with engineering and business teams to translate requirements into data-driven insights and AI solutions

  4. Monitor and optimize deployed models to maintain performance and accuracy

  5. Build and maintain data pipelines and feature stores for production models

  6. Conduct exploratory data analysis (EDA) to identify trends and business opportunities

  7. Document methodologies and present findings clearly to non-technical stakeholders

  8. Support the development of AI strategy and contribute to innovation initiatives

Competencies and Personal Character:

A. Strong analytical and problem-solving mindset

B. Detail-oriented, curious, and data-driven

C. Communicative and collaborative across cross-functional teams

D. Able to manage multiple projects and meet deadlines under pressure

E. Self-motivated and proactive in exploring new AI technologies

F. Uphold data ethics, confidentiality, and accuracy

Additional Notes:

  1. Minimum 3 years of experience as Data Scientist or Machine Learning Engineer

  2. Proven record of deploying AI/ML models into production environments


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