Sales - Senior Machine Learning and AI Engineer

Key Skills

3D data processing, Aartificial intelligence, Algorithms, AWS, Azure, Design, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, Sales

Job Description

In this role, you will work on:

• Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement, and retention.

• Algorithm Innovation: Develop novel algorithms and optimization techniques to solve complex problems, ensuring scalability and performance in production environments.

• Model Validation: Invent and implement robust validation strategies to ensure model accuracy, reliability, and generalizability, leveraging both quantitative metrics and qualitative insights.

• Data Processing: Work with large-scale datasets, utilizing advanced data processing techniques to extract meaningful insights and prepare data for modeling.

• Productionization: Deploy and maintain machine learning models in production, ensuring high performance, scalability, and reliability.

• Multi-Functional Collaboration: Partner with sales, engineering, analytics, and other teams to align ML solutions with business objectives and integrate them into user-facing systems.

• Continuous Improvement: Stay abreast of the latest advancements in AI/ML and propose innovative approaches to enhance existing solutions.

Minimum Qualifications

• Professional Experience: Minimum of 10 years of professional experience in machine learning, artificial intelligence, data science, or related fields, with a proven track record of delivering impactful ML solutions in industry settings.
• Educational Background: Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Operations Research, or a related field, or equivalent professional experience.
• Operations Research Expertise: Strong background in operations research, with hands-on experience applying optimization techniques (e.g., linear programming, dynamic programming, combinatorial optimization) to solve complex, real-world problems in sales or related domains.
• Advanced AI/ML Knowledge: Deep understanding of machine learning principles, including supervised and unsupervised learning, deep learning, reinforcement learning, graph neural networks, and generative AI. Proficiency in practical implementation, hyper-parameter tuning, and performance optimization is essential.
• Algorithm Development: Exceptional ability to design and implement novel algorithms tailored to specific business needs, with a focus on scalability and efficiency.
• Validation Expertise: Proven ability to develop innovative validation frameworks to assess model performance, ensuring robustness and reliability in production environments.
• Python Proficiency: Exceptional programming skills in Python, with experience writing clean, efficient, and maintainable code. Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or similar is highly desirable.
• SQL Competence: Strong ability to write complex SQL queries to extract, transform, and analyze large datasets from relational databases.
• Multi-functional Collaboration: Excellent communication and collaboration skills to work effectively with diverse teams and translate business requirements into technical solutions.
• Experience with Large-Scale Systems: Practical experience building and deploying ML models at scale, with a focus on real-world applications.

Preferred Qualifications

• Experience with transformer-based architectures or large language models (LLMs) for personalization or other applications.
• Familiarity with cloud-based ML platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of sales and customer engagement processes, particularly in a global context.
• Ph.D. in Machine Learning, Computer Science, Mathematics, Operation Research, or a related field.