Machine Learning Engineer

Insignia; Daerah Khusus Ibukota Jakarta; Hybrid; IDR 501.672.000 - 836.121.000; Full time

Job summary

A technology company is looking for an ML Engineer with strong expertise in Data Science and exposure to Generative AI. You will design and implement ML models while owning end-to-end projects. Ideal candidates have 3–5 years of experience and proficiency in Python and ML frameworks. Join a collaborative team that promotes career growth and offers perks like health insurance and meals.

Benefits

Health insurance

Meals provided

Career growth opportunities

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.
• Hands-on with ML libraries/frameworks (TensorFlow, PyTorch, etc.).
• Familiarity with Generative AI techniques.

Responsibilities

• Design and implement machine learning and generative AI models.
• Own end-to-end ML/AI projects from scoping to continuous improvement.
• Collaborate to translate business needs into technical solutions.
• Identify opportunities where AI/ML can deliver impact.
• Optimize ML pipelines for performance.

Skills

Data Science

Machine Learning

Python

MLOps

Generative AI

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

AWS

MySQL

Job description

Location: Meruya, West Jakarta

Full-time I Hybrid (3WFO + 2WFH)

At 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.