AI Engineer

ob Summary:

We are seeking a highly skilled AI Applied Engineer to design, develop, and implement innovative digital solutions powered by Artificial Intelligence. The ideal candidate will bridge the gap between data science and engineering-transforming AI models into scalable, production-ready applications that deliver real-world business impact.

Key Responsibilities:

• Design, develop, and deploy AI and Machine Learning (ML) solutions for digital transformation initiatives.

• Collaborate with data scientists to operationalize AI models using MLOps best practices.

• Integrate AI-driven components into existing enterprise systems and cloud platforms.

• Build scalable data pipelines to support model training, testing, and deployment.

• Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and optimization.

• Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for large-scale deployments.

• Apply Natural Language Processing (NLP), Computer Vision, and Predictive Analytics techniques to solve complex business challenges.

• Partner with cross-functional teams to identify opportunities for AI automation and digital innovation.

• Ensure solutions meet performance, scalability, and ethical AI standards.

• Maintain detailed technical documentation, conduct code reviews, and mentor junior engineers.

Required Skills & Qualifications:

• Strong programming skills in Python, Java, or C#.

• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).

• Experience deploying AI models into production environments.

• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

• Familiarity with data engineering tools and ETL pipelines.

• Understanding of cloud platforms (Azure, AWS, or GCP) and their AI/ML services.

• Proven experience in digital transformation or intelligent automation projects.

• Strong analytical and problem-solving abilities with a focus on innovation.

• Excellent collaboration and communication skills.

Nice to Have:

• Experience in Generative AI (LLMs, Prompt Engineering, LangChain, RAG frameworks).

• Exposure to Edge AI, IoT, or Real-time analytics.

• Familiarity with API integration and microservices architecture.

• Knowledge of Responsible AI principles and model governance.

Education:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.