Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and translate them into machine learning solutions.
Deploy and monitor machine learning and optimization models to solve complex retail problems such as customer segmentation, recommendation systems, personalized marketing, and supply chain.
Implement best practices of MLOps to ensure product health
Apply state-of-the-art techniques in deep learning, natural language processing, reinforcement learning, and computer vision to drive innovation and improve business performance.
Design and implement scalable and efficient algorithms to process large-scale datasets, ensuring robustness, accuracy, and scalability.
Analyze and interpret the results of ML models, providing actionable insights and recommendations to stakeholders.
Collaborate with data engineers to ensure the availability, quality, and reliability of data required for machine learning models.
Collaborate with Developer AI Platform teams to enable the delivery of new Generative AI capabilities.
Stay up-to-date with the latest advancements in machine learning and retail industry trends, proactively identifying opportunities for improvement and innovation.
Mentor and guide junior team members, fostering a culture of knowledge sharing and continuous learning.
Requirements & Skills:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of industry experience working as a Machine Learning Engineer, ideally in the retail sector.
Strong programming skills in Python/Java.
Demonstrated expertise in developing and deploying machine learning models at scale.
Demonstrated expertise in developing and deploying machine learning models at scale.
Solid understanding of deep learning architectures, natural language processing, and computer vision techniques.
Experience with prompt engineering
Experience with deep learning/LLM-based products or platforms.
Proficiency in data manipulation, feature engineering, and model evaluation.
Experience working with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
Experience with design and architecture, and with testing/launching software products.
Excellent problem-solving and analytical thinking abilities, with a strong attention to detail.
Strong communication and collaboration skills, with the ability to effectively convey complex ideas to both technical and non-technical stakeholders.
Proven track record of delivering high-quality machine learning solutions in a fast-paced, agile environment.
