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| job_list = [ | |
| """AI Engineer | |
| Position: AI Engineer | |
| Location: Remote / Hybrid (Jakarta, Indonesia preferred) | |
| Employment Type: Full-Time | |
| About the Role | |
| We are seeking a highly motivated AI Engineer to join our growing technology team. The successful candidate will design, build, and deploy AI-driven solutions to solve complex real-world problems. You will work closely with data scientists, ML researchers, and software engineers to bring cutting-edge models into production, ensuring scalability, efficiency, and business impact. | |
| Key Responsibilities | |
| Develop, fine-tune, and deploy Machine Learning (ML) and Deep Learning (DL) models for various applications (NLP, Computer Vision, Recommendation Systems, etc.). | |
| Implement MLOps pipelines for training, evaluation, and monitoring of AI models. | |
| Optimize AI solutions for performance across cloud and on-premise environments. | |
| Collaborate with cross-functional teams to integrate AI into existing products and services. | |
| Research emerging trends in AI/ML and recommend adoption of new methods or tools. | |
| Requirements | |
| Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field. | |
| Strong programming skills in Python (experience with libraries such as PyTorch, TensorFlow, Hugging Face, or Scikit-learn). | |
| Knowledge of MLOps frameworks (Docker, Kubernetes, FastAPI, MLflow, or similar). | |
| Experience with cloud platforms (AWS, GCP, Azure) is a plus. | |
| Familiarity with data pipelines, vector databases (FAISS, Pinecone), and APIs. | |
| Problem-solving mindset with ability to work in fast-paced environments. | |
| Preferred Skills | |
| Hands-on experience with Large Language Models (LLMs) and prompt engineering. | |
| Knowledge of distributed training and performance optimization. | |
| Experience with multi-tenant AI applications. | |
| Strong collaboration and communication skills. | |
| What We Offer | |
| Competitive salary and performance-based bonuses. | |
| Flexible working environment (remote/hybrid). | |
| Opportunity to work on cutting-edge AI projects with global impact. | |
| Career growth through training, mentorship, and conference participation. | |
| How to Apply | |
| Send your CV, portfolio, and GitHub (if any) to: careers@company.com""", | |
| """Data Scientist | |
| Position: Data Scientist | |
| Location: Remote / Hybrid (Jakarta, Indonesia preferred) | |
| Employment Type: Full-Time | |
| About the Role | |
| We are looking for a Data Scientist who is passionate about turning raw data into actionable insights. You will work with a variety of structured and unstructured datasets, applying advanced analytics, statistical modeling, and machine learning to support product innovation and business decision-making. | |
| Key Responsibilities | |
| Collect, clean, and preprocess large and complex datasets. | |
| Apply statistical models, machine learning, and deep learning techniques to solve real-world problems. | |
| Develop and validate predictive models for business applications. | |
| Work with engineers and product managers to integrate models into production systems. | |
| Communicate findings clearly through dashboards, reports, and visualizations. | |
| Stay updated with the latest research and trends in AI, data science, and big data technologies. | |
| Requirements | |
| Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related fields. | |
| Proficiency in Python/R and libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. | |
| Strong skills in SQL and working with relational/non-relational databases. | |
| Experience in data visualization tools (Tableau, Power BI, Plotly, or similar). | |
| Understanding of statistical methods, hypothesis testing, and experiment design. | |
| Ability to translate complex data into actionable insights for non-technical stakeholders. | |
| Preferred Skills | |
| Familiarity with cloud data platforms (AWS, GCP, Azure). | |
| Experience with big data frameworks (Spark, Hadoop). | |
| Knowledge of natural language processing (NLP) and/or recommendation systems. | |
| Strong problem-solving skills and curiosity for data-driven discovery. | |
| What We Offer | |
| Competitive salary and performance bonuses. | |
| Flexible remote/hybrid working setup. | |
| Opportunity to work on impactful projects with large-scale datasets. | |
| Support for continuous learning through workshops, training, and conferences. | |
| How to Apply | |
| Send your CV, portfolio, and GitHub/Kaggle profile (if any) to careers@company.com""", | |
| """Data Analyst | |
| Position: Data Analyst | |
| Location: Remote / Hybrid (Jakarta, Indonesia preferred) | |
| Employment Type: Full-Time | |
| About the Role | |
| We are seeking a detail-oriented Data Analyst to help our team turn raw data into meaningful insights. You will work closely with business stakeholders, engineers, and data scientists to collect, interpret, and visualize data that drives decision-making and strategy. | |
| Key Responsibilities | |
| Collect, clean, and organize datasets from multiple sources. | |
| Conduct exploratory data analysis (EDA) to uncover trends and patterns. | |
| Design and build dashboards, reports, and KPIs to support business decisions. | |
| Use SQL and analytics tools to query and transform large datasets. | |
| Collaborate with business and technical teams to translate requirements into actionable insights. | |
| Ensure data accuracy, integrity, and accessibility across the organization. | |
| Requirements | |
| Bachelor’s degree in Data Analytics, Statistics, Computer Science, Economics, or related fields. | |
| Strong proficiency in SQL and data visualization tools (Tableau, Power BI, Looker, or similar). | |
| Good knowledge of Excel/Google Sheets for advanced analytics. | |
| Experience with Python/R for data manipulation and analysis. | |
| Ability to communicate insights effectively to non-technical stakeholders. | |
| Strong problem-solving skills and attention to detail. | |
| Preferred Skills | |
| Familiarity with ETL pipelines and data warehousing. | |
| Experience working with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse). | |
| Basic knowledge of machine learning or predictive analytics. | |
| Experience in business intelligence (BI) roles. | |
| What We Offer | |
| Competitive salary and benefits package. | |
| Flexible remote/hybrid working environment. | |
| Opportunity to contribute to data-driven decision-making in a dynamic company. | |
| Continuous learning and career development support. | |
| How to Apply | |
| Send your CV and portfolio/dashboard samples to careers@company.com""" | |
| ] |