Responsibilities:

Design, implement, and deploy machine learning models for various projects
Collaborate with cross-functional teams to understand business needs and develop solutions
Work closely with senior engineers to develop and optimize ML models
Conduct data exploration, analysis, and preprocessing to ensure data quality and relevance
Evaluate and improve existing machine learning models
Keep up-to-date with the latest advancements and techniques in machine learning and artificial intelligence
Support the integration of ML models into production environments
Maintain documentation and provide technical support for ML models

Qualifications:

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
1-2 years of experience in developing and deploying machine learning models
Strong understanding of machine learning algorithms and techniques
Proficient in programming languages such as Python, R, or Java
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch) is a plus
Familiarity with data visualization tools (Tableau, Power BI) is a plus
Excellent problem-solving and analytical skills
Ability to work in a fast-paced and collaborative environment
Strong communication skills and ability to explain technical concepts to non-technical stakeholders

If you are passionate about machine learning and want to be part of a dynamic team, we encourage you to apply for the Junior ML Model Engineer position.

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