Production Ml Engineer: Scalable Pipelines & Deployment

Insignia.Co.Id; Jakarta Pusat; On-site; IDR 400,000,000 - 800,000,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Health, dental, and vision insurance

Generous paid time off & holidays

Professional development opportunities

Bekasi, West Java office

Cutting-edge AI projects

Job summary

Insignia.Co.Id seeks a seasoned Lead Machine Learning Engineer to head the design, development, and deployment of advanced ML models from our Bekasi, West Java office. You will guide a talented team and shape the technical direction of our AI products in a collaborative, in-person setting.

The ideal candidate has a strong theoretical background and a proven track record building production-ready ML systems, with leadership experience, proficiency in Python and major ML frameworks, and experience

Qualifications

• Master's or Ph.D. in Computer Science, ML, Statistics, or related quantitative field.
• 6+ years in machine learning engineering, with at least 2 years in a lead/senior role.
• Proven track record deploying and scaling ML models in production.
• Strong Python programming and experience with TF, PyTorch, scikit-learn.
• Solid knowledge of data structures, algorithms, and software engineering.
• Experience with cloud platforms and containers (AWS/Azure/GCP, Docker, Kubernetes).
• Excellent leadership, communication, and mentoring skills.
• Experience with MLOps is highly desirable.

Responsibilities

• Lead the design, development, and implementation of ML models and algorithms.
• Manage and mentor a team of ML engineers with technical guidance and feedback.
• Oversee the ML lifecycle from data preprocessing to deployment.
• Develop and maintain scalable ML pipelines and infrastructure.
• Collaborate with data scientists, engineers, and product managers to translate requirements.
• Ensure performance, reliability, and efficiency of deployed models.
• Establish best practices for ML development including reviews and testing.
• Stay updated with advancements and advocate new technologies.
• Troubleshoot and resolve production ML system issues.

Skills

Python

Leadership

Mentoring

Communication

ML pipelines

Education

Master's or Ph.D. in Computer Science / ML / Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role Our client, a dynamic force in the AI & Emerging Technologies landscape, is actively seeking a highly experienced and results-driven Lead Machine Learning Engineer to spearhead critical initiatives from our Bekasi, West Java, ID office. This is a pivotal role for a seasoned professional eager to make a significant impact by leading the design, development, and deployment of sophisticated machine learning models. You will guide a talented team of engineers, fostering an environment of innovation and technical excellence. The ideal candidate possesses a deep theoretical understanding of machine learning combined with extensive practical experience in building and scaling ML systems in production environments. This position offers a unique opportunity to shape the technical direction of our AI products and contribute to the company's growth and success in a collaborative, in-office setting.

Key Responsibilities

• Lead the design, development, and implementation of machine learning models and algorithms for various applications.
• Manage and mentor a team of machine learning engineers, providing technical guidance and performance feedback.
• Oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
• Develop and maintain robust, scalable ML pipelines and infrastructure.
• Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Ensure the performance, reliability, and efficiency of deployed ML models.
• Establish best practices for ML development, including code reviews, testing strategies, and documentation.
• Stay updated with the latest advancements in machine learning and advocate for the adoption of new technologies and techniques.
• Troubleshoot and resolve complex issues related to ML systems in production.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Significant experience (6+ years) in machine learning engineering, with at least 2 years in a lead or senior role.
• Proven track record of successfully deploying and scaling machine learning models in production.
• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent leadership, communication, and interpersonal skills.
• Ability to effectively manage and mentor a team of engineers.
• Experience with MLOps practices and tools is highly desirable.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and public holiday allowances.
• Professional development opportunities, including access to advanced training and conferences.
• A stimulating and collaborative work environment in our Bekasi, West Java, ID office.
• Opportunities to work on cutting-edge AI projects with significant industry impact.
• Company-provided resources and equipment.

Our client, a leader in cutting-edge technology solutions