Artifical Intelligence Machine Learning Engineer

Key Responsibilities

• Model Development & Deployment
• Design, train, evaluate and deploy machine learning and deep learning models
• Build and maintain scalable AI solutions for real‑time or batch processing systems
• Optimize model performance including accuracy, latency and resource consumption
• Data Engineering & Processing : Collaborate with data engineers and analysts to source clean and transform data
• Apply advanced statistical and data mining techniques to extract meaningful patterns
• Research & Innovation : Stay updated with the latest advancements in AI and ML technologies
• Prototype innovative solutions, contribute to research publications and recommend adoption of new frameworks
• Systems Integration : Develop APIs and services to integrate AI solutions into existing platforms or applications
• Collaborate with software engineers and DevOps teams to ensure production‑level stability
• Collaboration & Communication : Work closely with academic and operational teams to understand business needs and translate them into technical solutions
• Prepare documentation, reports and presentation materials to communicate findings and methodologies

Requirements

Required Qualifications :

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or related field (Master’s or PhD preferred).

Minimum 3 years of hands‑on experience in AI / ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit‑learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP) and computer vision.

Experience in model deployment using cloud platforms (e.g. AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Desirable Skills

Knowledge of MLOps tools and CI / CD pipelines for ML projects.

Familiarity with big data platforms (e.g. Spark, Hadoop). Experience with academic or educational systems (LMS AI in education) is a plus.

Demonstrated contributions to open‑source projects, research publications or hackathons.

Employment Type : Full Time

Vacancy : 1

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