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.