Job Description

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 designing 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

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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