Senior AI Engineer

• Work with large datasets and distributed computing tools (e.g., Spark).
• Integrate AI models into applications via APIs and microservices.
• Ensure model performance, scalability, and reliability.
• Apply MLOps best practices (CI/CD, monitoring, versioning).
• Stay up to date with emerging AI technologies and trends.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 8+ years of experience in software engineering, with 4+ years in AI/ML.
• Strong programming skills in Python (or Java/Scala).
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms and statistics.
• Experience with data engineering and large-scale data processing.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud).
• Experience deploying models in production environments.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with Natural Language Processing (NLP) or Computer Vision.
• Familiarity with Generative AI and large language models (LLMs).
• Experience with tools like MLflow, Kubeflow, or SageMaker.
• Knowledge of Docker and Kubernetes.
• PhD in AI, Machine Learning, or related field (optional).
• Experience with real-time AI systems and streaming data.

Key Skills

• Machine Learning & Deep Learning
• NLP / Computer Vision
• Python & AI Frameworks
• Data Engineering & Big Data
• MLOps & Model Deployment
• Cloud Platforms