Job Description

Roles & Responsibilities

1. AI Feature Development

Identify opportunities to integrate AI/ML into digital products (recommendation engines, automation, NLP, predictive analytics, chatbots, etc.).

Build and deploy machine learning models using modern frameworks (TensorFlow, PyTorch, Scikit-learn).

Develop AI microservices/APIs to integrate with existing systems.

2. Product Integration

Work closely with product managers, designers, and developers to translate features into technical AI solutions.

Optimize AI model performance, user experience, and cost efficiency.

Ensure seamless integration into web/mobile/cloud platforms.

3. Data Engineering & Preparation

Work with teams to clean, structure, and prepare datasets.

Build data pipelines for training, testing, and monitoring AI models.

Ensure data quality, privacy, and governance compliance.

4. AI Strategy & Innovation

Advise leadership on AI opportunities and emerging technologies.

Build prototypes, POCs, and MVPs for new AI features.

Introduce best practices for model lifecycle management (MLOps).

5. Quality, Security, and Compliance

Ensure AI models meet accuracy, fairness, explainability, and security requirements.

Implement monitoring and retraining mechanisms for AI models

Document technical solutions, workflows, and architecture

Technical

o Strong experience in machine learning, deep learning, and NLP.

o Hands-on coding experience in Python (Pandas, NumPy, ML libraries).

o Experience with cloud platforms (Azure AI, AWS AI, or Google AI).

o Experience with REST APIs and microservices.

o Familiarity with MLOps, CI/CD pipelines.

Soft Skills

o Strong communication and ability to explain complex AI topics.

o Product mindset (thinking about user value, not just technology).

o Problem-solving and analytical skills.

o Ability to work cross-functionally with product, design, engineering, and business teams.

Desired Candidate Profile