Senior Applied AI Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of the complete delivery process for production AI and ML systems, spanning from experimentation to deployment.

• Train, fine-tune, and enhance machine learning models, including large language models (LLMs) and open-weight models.

• Construct and uphold training, data processing, and inference pipelines.

• Enhance model performance in terms of accuracy, latency, reliability, and cost-effectiveness.

• Implement MLOps best practices related to deployment, monitoring, continuous integration and delivery (CI/CD), and automated model retraining.

• Create evaluation frameworks, benchmark datasets, and quality assurance processes for production models.

• Design and sustain scalable APIs and services that deliver AI functionalities.

• Collaborate with Product, Backend, and Frontend teams to seamlessly integrate AI into customer-facing workflows.

• Monitor production systems and strive for continuous enhancement of model and infrastructure performance.

• Investigate and assess emerging AI techniques, tools, and frameworks.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.

• A minimum of 3 years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or a comparable position.

• Extensive experience in training, fine-tuning, and deploying machine learning models in production settings.

• Proficient in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

• Experience managing and maintaining production ML systems.

• Practical experience with cloud platforms like AWS, GCP, or Azure.

• Knowledge of cloud ML services such as SageMaker, Vertex AI, or equivalent platforms.

• Strong grasp of API design and distributed system architecture.

• Experience in implementing MLOps methodologies, CI/CD pipelines, and model monitoring.

• Familiarity with Docker and Kubernetes.

• Understanding of PostgreSQL and contemporary data infrastructure.

• Experience with LLMs, retrieval-augmented generation (RAG) systems, and vector databases is a significant advantage.

• Exceptional written and verbal communication skills in English.

🏝️ Benefits

• Opportunities for professional development.

• Flexible work arrangements.