Senior AI Engineer

Duties:

• Design, develop, and deploy advanced AI/ML models for real-world applications.
• Lead end-to-end AI solution lifecycle: data collection, preprocessing, modeling, evaluation, and deployment.
• Collaborate with data scientists, software engineers, and product managers to integrate AI into products.
• Implement MLOps best practices for automation, monitoring, and retraining of models.
• Research and evaluate new AI/ML frameworks, tools, and algorithms to enhance solutions.
• Ensure scalability, performance, and reliability of AI systems in production.
• Mentor and guide junior engineers to improve team capabilities.

Technical Requirements

• Bachelor's or master's in computer science, AI, Machine Learning, Data Science, or related field
• 5+ years in AI/ML engineering with proven project deployment
• Strong proficiency in Python; knowledge of R, Java, or C++ is a plus
• TensorFlow, PyTorch, scikit-learn, Hugging Face, OpenAI APIs
• CI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS, Azure, GCP)
• Experience with SQL/NoSQL, data preprocessing, big data tools (Spark, Hadoop)
• Experience building REST APIs / microservices for model deployment

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Non-Technical Requirements

• Strong problem-solving and analytical skill
• Ability to prioritize tasks and manage time effectively
• Excellent verbal and written communication skills
• Strong collaboration and teamwork mindset
• Demonstrated proactivity, ownership, and commitment to deliver results
• Interest in continuous learning and professional development
• Ability to mentor junior engineers and foster knowledge-sharing culture