Lead ML Ops

We are a rapidly expanding AI startup that is transforming digital advertising with groundbreaking AI technology and innovative solutions. We are seeking a dynamic and highly skilled Lead MLOps Engineer to join our team and play a critical role in building the future of advertising.

As a Lead MLOps Engineer, you will be at the forefront of deploying and scaling cutting-edge machine learning models, including custom Transformer-based architectures, to predict consumer behavior. You will take ownership of managing high-performance inference systems, ensuring the seamless delivery of daily predictions for millions of consumers at an unprecedented scale.

The ideal candidate will be a seasoned expert in machine learning operations with deep experience managing large-scale data environments. You should have a proven track record of deploying end-to-end machine learning solutions at scale on cloud platforms (preferably in AWS), with a focus on performance and cost optimization and reliability.

Key Responsibilities:

Lead MLOps Strategy:

Build Scalable Infrastructure:

Cost and Resource Management:

CI/CD Pipeline Implementation:

Automation and Optimization:

Model Monitoring and Performance:

Collaboration:

Documentation:

Innovation and Research:

Qualifications:

● Bachelor's, Master's or PhD in Computer Science, Engineering, AI or a related field

● At least 5+ years of experience in machine learning operations

● Extensive experience deploying, managing, and scaling AI/ML workloads for large scale data on AWS services such as EC2, SageMaker, Lambda, and other AWS offerings

● Proficiency in Docker, Kubernetes, and container orchestration, with experience in deploying machine learning models in these environments

● Proven track record in designing and implementing CI/CD pipelines for ML models

● Experience in performance tuning, cost optimization, and managing resources in cloud-based environments.

● Strong understanding of machine learning concepts, including supervised and unsupervised learning and deep learning

● Strong programming skills in Python, and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn and Keras

● Excellent problem-solving and analytical skills

● Strong communication and collaboration skills

Nice to have:

● Prior experience working in a fast-paced startup environment

What we offer:

We offer a competitive salary, benefits, and a dynamic work environment. If you are passionate about AI and predicting consumer behaviour, have a strong entrepreneurial spirit, and want to be part of a rapidly growing startup, we encourage you to apply for this exciting opportunity!