ML Engineer

The Role:

You will be responsible for :

• Design, develop, test, deploy, maintain and optimize ML models/infrastructure and software that uses these models.
• Architect efficient and scalable systems that drive complex applications.
• Build the libraries and frameworks that support large, complex web applications.
• Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world engineering problems.
• Identify and resolve performance and scalability issues.
• Participate in cutting edge research in artificial intelligence and machine learning applications.
• Manage individual project priorities, deadlines and deliverables.

Ideal Profile:

• Bachelor's degree in Computer Science, Data Science, Machine Learning or equivalent work experience.
• 1-3 years of relevant work experience in machine learning software development and architectures for machine learning (with focus on deep learning, computer vision, LLMs, GNN, RL.
• 1-3 years of experience using Python and popular libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience deg and implementing distributed software systems (e.g Java, C++, or Python).
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
• Experience with deployment on cloud platforms: AWS, Azure, GCP.
• Experience with developing machine learning models at scale from inception to business impact.
• Excellent communication skills and the ability to work in a team-oriented environment.
• Experience building maintainable and testable code bases, including API design and unit testing techniques

What's on Offer?

• Excellent career development opportunities
• Flexible working options
• Great work environment