Remote Senior AI/ML Engineer

Placements24; Sandton; Híbrido; ZAR 1.496.000 - 2.160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Paid time off

Flexible hours

Remote work

Professional development

Descripción de la vacante

Placements24 is seeking a highly skilled Senior AI/ML Engineer for a fully remote, globally distributed team. You will design, train, and deploy sophisticated ML models, build robust pipelines, and collaborate with cross-functional partners to deliver production-ready AI features.

The role emphasizes scalable ML systems, MLOps practices, and cutting-edge AI technologies in a remote-first environment, with opportunities for continuous professional development and flexible working hours.

Formación

• Master's or PhD in Computer Science, Engineering, Mathematics, or related field.
• 4+ years of AI/ML engineering or data science with strong engineering focus.
• Proficiency in Python and core ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with MLOps (CI/CD, model monitoring, experiment tracking) and cloud ML services.

Responsabilidades

• Design, develop, train, and deploy ML models and AI algorithms.
• Build scalable ML pipelines for data processing, training, evaluation, deployment.
• Collaborate with product teams to translate requirements into AI/ML solutions.
• Optimize models for latency, scalability, and production deployment.
• Implement monitoring, logging, and alerting for deployed models.

Conocimientos

Python

ML Libraries

MLOps

Cloud Platforms

Educación

Masters/PhD required

Herramientas

Git

Spark

Descripción del empleo

About the Role

Our client, a fast-paced and innovative technology company, is actively recruiting a highly skilled Remote Senior AI/ML Engineer to join their globally distributed team. This role is crucial for developing, implementing, and deploying sophisticated machine learning models and AI-driven features that power their next-generation products. As a remote-first position, you will collaborate with talented engineers and data scientists across different time zones, contributing significantly to the core AI capabilities of the company. You will focus on building robust, scalable, and production-ready ML solutions, leveraging best practices in software engineering and MLOps. The ideal candidate is passionate about building practical AI applications and thrives in a collaborative, remote environment.

Key Responsibilities

Design, develop, train, and deploy machine learning models and AI algorithms for various applications. Build and maintain robust, scalable, and efficient ML pipelines for data processing, model training, evaluation, and deployment. Collaborate with product teams to understand requirements and translate them into technical AI/ML solutions. Optimize models for performance, scalability, and production deployment, considering latency and resource constraints. Implement monitoring, logging, and alerting systems for deployed ML models. Stay up-to-date with the latest advancements in AI, machine learning, and related technologies. Write high-quality, production-ready code and contribute to code reviews. Work with large datasets and ensure data quality and integrity for ML projects. Troubleshoot and resolve complex technical issues related to ML models and infrastructure. Contribute to the continuous improvement of MLOps practices and tools.

Requirements

Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. 4+ years of professional experience in AI/ML engineering or data science with a strong engineering focus. Proficiency in Python and experience with core ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of various machine learning algorithms (supervised, unsupervised, deep learning). Experience with MLOps principles and tools (e.g., CI/CD for ML, model monitoring, experiment tracking). Experience with cloud platforms (AWS, GCP, Azure) and their ML services. Solid software engineering skills, including version control (Git) and testing methodologies. Excellent problem-solving, analytical, and debugging skills. Strong communication and collaboration skills, effective in a remote team setting. Experience with distributed computing frameworks (e.g., Spark) is a plus.

Benefits

This fully remote role offers a highly competitive salary and a comprehensive benefits package. This includes top-tier health, dental, and vision insurance. Generous paid time off and flexible working hours are provided to ensure an excellent work-life balance. Opportunities for continuous professional development, including online courses, certifications, and virtual conferences, are readily available. Our client cultivates an innovative and collaborative remote work culture, providing you with the tools and support to excel.