Key Responsibility

 Responsible for designing, implementing, and overseeing AI solutions that align with business objectives

Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.

System Design: Architect robust AI frameworks and infrastructure for scalability and performance.

Model Development: Design and implement AI/ML models, algorithms, and pipelines. 

Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions. 

Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency. 

Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation). 

Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices

Security & Compliance: Data anonymization, secure model deployment, bias detection

Work Experience

Mandatory Skills

Programming Languages: Python, Java, or Node.js for AI system development. 

Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability. 

Data Engineering & MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.

Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability. 

System Design & Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes). 

Security & Compliance: Data anonymization, secure model deployment, bias detection