Remote Senior Machine Learning Engineer

Description:

• fabric is a next-generation commerce platform aimed at revolutionizing the commerce industry.
• The company is looking for a Senior Machine Learning Engineer with expertise in Deep Learning modeling, particularly in retail and commerce optimization.
• The role involves developing and implementing advanced machine learning solutions to enhance performance, efficiency, and customer experience.
• Responsibilities include leading the research and implementation of Generative AI models for product recommendation and personalization.
• The engineer will design and develop machine learning models for various e-commerce use cases, such as recommendation systems, demand forecasting, pricing/inventory optimization, and fraud detection.
• The position requires analyzing large datasets to extract insights for training Generative AI models.
• The engineer will train and fine-tune Deep Learning, Reinforcement Learning, and Causal models using advanced techniques.
• Experience with machine learning libraries and tools (C++, Java, Python preferred) is necessary, along with familiarity with AWS or GCP ML tools.
• Continuous monitoring and improvement of model performance is expected.
• Collaboration with software engineers, product managers, and stakeholders to integrate machine learning features into the SaaS platform is essential.
• Staying updated with the latest developments in machine learning and e-commerce is required for building prototypes for various use cases.
• Detailed documentation of ML models and processes must be maintained.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field is required.
• A minimum of 5 years of proven experience in designing and implementing Generative AI models, preferably in the e-commerce or retail domain, is necessary.
• Proficiency in programming languages such as Python and familiarity with ML libraries/frameworks like TensorFlow, PyTorch, and scikit-learn is essential.
• A solid understanding of statistical modeling and data analysis techniques is required.
• Experience working with large e-commerce-related datasets (TB+ preferred) is necessary.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment are essential.
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders are required.
• Knowledge of cloud platforms like AWS, Azure, or GCP is necessary.

Benefits:

• Competitive compensation packages are offered.
• The position includes PTO and holiday plans.
• Benefits packages include medical, dental, life, and vision insurance.
• Wellness and technology programs are available.
• A 401k program is provided.
• The work environment is fast-paced, fun, and collaborative.
• The company is invested in the personal and professional development of its team members.