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:

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

Non-Technical Requirements:

• Strong problem-solving and analytical skills.
• 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.