Lead AI/ML Engineer/Data Scientist

About the job

Job Description: As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: • Lead the design and development of machine learning models and AI solutions to solve business problems. • Select appropriate machine learning or deep learning models based on problem context and data availability. • Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. • Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. • Engineer features and performs exploratory data analysis to ensure data quality and model readiness. • Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). • Implement models into production environments, ensuring robustness, scalability, and maintainability. • Develop and maintain CI/CD pipelines for seamless model integration and deployment. • Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. • Document model architecture, development processes, and performance evaluations thoroughly. • Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. • Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. • Analyze large datasets to extract insights and improve model performance. • Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications: • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. • Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. • Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

Requirements

• AI/ML Engineering
• Machine Learning
• Statistical Modeling
• Python
• R
• Java

Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field
• 5+ years of experience

Preferred Technologies

• AI/ML Engineering
• Machine Learning
• Statistical Modeling
• Python
• R
• Java

About the company

UPS is a Fortune Global 500 organization committed to providing a workplace free of discrimination, harassment, and retaliation. The company is focused on maintaining a rewarding culture, exploring innovative possibilities, and helping its employees become better every day.