Job Description

Responsibilities:

Software Development

Develop, optimize, and maintain software for AI research projects.
Collaborate with researchers to implement state-of-the-art machine learning models.
Work with large-scale datasets, designing efficient data processing pipelines.
Support the deployment and scaling of AI models for real-world applications.
Contribute to open-source AI projects and research publications.
Stay up to date with the latest advancements in AI and machine learning.
Be an advocate to maintain and improve computing infrastructure for code development
Create comprehensive documentation of any software developed
Complete user manuals for knowledge transfer, and ensure smooth handover with clear communication at the conclusion of the RSE software development
Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
3+ years of Python experience with ML libraries (TensorFlow, PyTorch, scikit-learn), including optimization and deployment in production environments.
Strong grasp of AI/ML fundamentals including advanced concepts in model architectures, hyperparameter tuning, and real-world problem-solving
Proficiency in software development best practices (version control, testing, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques.
Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment.
Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters.
Excellent verbal and written communication skills.
Preferred qualifications

Master’s degree in a related field.
Experience with deep learning model training, evaluation, and distributed computing.
Contributions to AI research and open-source projects.
Strong collaboration skills across scientific disciplines.
Leadership or project management experience.
Ability to design and teach AI modules or training sessions.
Experience presenting research in publications, seminars, or conferences.