Machine Learning Engineer - Contract

Overview:

We are looking for a highly experienced ML Engineer with 7 years of experience on a contract basis to develop AI/ML-driven solutions that automate commentary generation and improve the user experience for a sports-focused platform. The role involves working with large-scale datasets to deliver personalized content for users.

Company Details:

A leading platform providing comprehensive sports content and statistics, serving millions of users globally. This platform focuses on enhancing fan experiences through innovative technologies and data-driven insights.

Requirements:

• 7 years of experience as an ML Engineer or similar role.
• Proven experience in deploying ML models into production, especially in high-traffic environments.
• Proficiency in machine learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure).
• Strong knowledge of NLP techniques for text generation in dynamic environments.
• Proficiency in Python and relevant ML libraries (scikit-learn, etc.).
• Experience working with large datasets (preferably in sports or related domains).
• Strong analytical and problem-solving skills.
• Ability to work independently and lead ML initiatives.
• Strong communication skills, especially with non-technical stakeholders.
• Experience working in a fast-paced, startup-like environment.

Responsibilities:

• ML Model Development: Design, develop, and deploy ML models for real-time commentary generation using existing sports data.
• Infrastructure & Pipeline Setup: Establish infrastructure and pipelines for data ingestion and model training. Optimize models for performance and scalability.
• Data Utilization: Work with large datasets (2-3TB) of sports-related statistics and commentary data to create clean, structured datasets for model development.
• Deployment & Maintenance: Manage end-to-end deployment of ML models from experimentation to production, ensuring scalability and real-time performance.
• Collaboration: Work with cross-functional teams, including content and engineering, to ensure model accuracy and performance.
• Future Planning: Contribute to long-term projects like personalizing user experiences and defining the roadmap for AI/ML initiatives within the platform.

Job Details:

• Contract Duration: 6 months remote contract, extendable to 12 months.
• Location: Remote.

Interview Process:

1. Screening: Initial HR screening to assess general fit and background.
2. Technical Round 1: Focused on machine learning concepts, model development, and problem-solving abilities.
3. Technical Round 2: Deep dive into NLP techniques, dataset handling, and deployment of ML models in production.

Role of ClanX:

ClanX is partnering with the platform to recruit highly skilled ML Engineers to support the development and deployment of cutting-edge AI/ML solutions, ensuring the platform provides top-notch personalized content to users globally.