Senior Machine Learning Engineer

Are you ready to bring your Senior Machine Learning Engineer experience to the next level?

As a Data Scientist specializing in Machine Learning, you'll play a crucial role in developing and implementing cutting-edge recommendation algorithms. Your expertise will help drive user engagement, enhance customer experiences, and contribute to the growth of the company. You'll work closely with a talented cross-functional team to turn data into actionable insights that drive our recommendation platforms forward.

Key Responsibilities:

• Design and implement machine learning models using Python libraries such as pandas and NumPy;
• Develop and evaluate advanced machine learning algorithms, with a focus on regression, classification, and scikit-learn models;
• Build, train, and deploy deep learning models, preferably with PyTorch, to solve complex problems;
• Create and refine Recommender systems, employing techniques like collaborative filtering and deep learning methods;
• Conduct model testing and validation to ensure accuracy and effectiveness;
• Collaborate with cross-functional teams to integrate machine learning technology into our products and services;
• Stay abreast of developments in the field and evaluate emerging technologies for potential application to business challenges.

Qualifications and Skills:

• 5+ years of experience in Python programming with a strong grasp of libraries like pandas and NumPy;
• 4+ years of hands-on experience in machine learning with a portfolio of models that have been put into production;
• 2+ years of deep learning experience, with a preference for candidates proficient in PyTorch;
• 2+ years of experience in designing and implementing Recommender systems;
• Practical experience in deploying models in a AWS cloud environment, particularly using AWS SageMaker;
• Experience in fine-tuning Large Language Models (LLMs), such as those offered by OpenAI, for specific company use cases like question-answering systems.

Benefits:

• Competitive compensation package with equity options;
• A Flexible work environment that values work-life balance;
• Opportunity to work on cutting-edge technologies and shape the future of recommendation systems;
• Collaborative and inclusive startup culture that encourages innovation and creative problem-solving;
• Growth opportunities and the chance to take on additional responsibilities as the company expands.

Sounds interesting? Do not hesitate to apply or contact us if you have any questions!