AIML Engineer

About the role

Eraytec is looking for an experienced AI/ML Engineer to design, build, and deploy machine learning solutions that power intelligent applications. The role focuses on predictive modeling, deep learning, and production AI systems.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Build data preprocessing, feature engineering, and model training pipelines.
• Develop predictive analytics and deep learning solutions for business problems.
• Optimize model performance, accuracy, scalability, and inference speed.
• Deploy ML models using cloud-native platforms and containerized environments.
• Collaborate with Data Scientists, Data Engineers, and MLOps teams.
• Monitor model performance, detect drift, and implement continuous improvements.
• Follow MLOps and software engineering best practices throughout the ML lifecycle.

Requirements

• Python, Machine Learning, Deep Learning, TensorFlow / PyTorch, Scikit-learn, Pandas & NumPy, SQL, MLflow, Docker, Kubernetes, AWS SageMaker / Azure ML / Vertex AI, and Git & CI/CD.
• Nice to have: NLP or Computer Vision experience, Generative AI and LLM integration, Apache Spark / PySpark, Databricks, and Feature Store implementation.

Key facts

• Required skills include Python, Machine Learning, Deep Learning, TensorFlow / PyTorch, SQL, Docker, Kubernetes, and Git & CI/CD.
• Responsibilities include developing and deploying production machine learning models.
• Nice-to-have experience includes NLP or Computer Vision, Generative AI and LLM integration, and Apache Spark / PySpark.