Talent Pool For Vp Ai Engineer

Jatis Mobile; Jakarta Pusat; On-site; IDR 700,000,000 - 1,000,000,000; Full time

Job summary

Jatis Mobile in Jakarta is seeking a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models across our product suite. You will build robust data pipelines for training, evaluation, and deployment at scale.

Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing and new products, and optimize model performance in production.

Responsibilities

• Design, implement, and validate machine learning models for various applications.
• Develop and maintain data pipelines for training, evaluating, and deploying models at scale.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing and new products.
• Optimize model performance, efficiency, and scalability for production environments.
• Conduct research into new AI techniques and technologies to identify opportunities for innovation and improvement.
• Ensure ethical considerations and bias mitigation are addressed in model development and deployment.

Job description

Senior Machine Learning Engineer - Jakarta

Our client is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division in Jakarta . This pivotal role involves designing, developing, and deploying advanced machine learning models and algorithms that will drive innovation across our client's product suite. You will be instrumental in shaping the future of our AI capabilities, working within a dynamic and collaborative environment that fosters creativity and technological excellence. This position offers the chance to tackle complex challenges, contribute to impactful projects, and grow your expertise in a rapidly evolving field.

Key Responsibilities

• Design, implement, and validate machine learning models and algorithms for various applications, including prediction, classification, and anomaly detection.
• Develop and maintain robust data pipelines for training, evaluating, and deploying models at scale.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing and new products.
• Optimize model performance, efficiency, and scalability for production environments.
• Conduct research into new AI techniques and technologies to identify opportunities for innovation and improvement.
• Ensure ethical considerations and bias mitigation are addressed in model development and deployment.