Description
We are seeking a Lead Machine Learning Engineer to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes.
You will collaborate with cross-functional teams to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms.
Key responsibilities:
- Architect, develop, and program integrated software solutions, especially in support of the development, deployment, and life cycle of machine learning models.
- Build and maintain robust data pipelines and monitoring systems in distributed computing environments.
- Define collection protocols, analyze data sources, develop, train, and evaluate models, and create visualizations of data properties and model performance.
- Establish and optimize scalable processes for large-scale data operations to drive ML product improvements.
- Engage with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
- Collaborate with DevOps teams to integrate models into production systems and automate deployment processes.
- Validate, communicate, and monitor the delivery of customer requirements for AI/ML solutions.
- Participate in cutting-edge research in artificial intelligence and machine learning applications.
- Stay up-to-date with the latest advancements in machine learning and related technologies.
Requirements:
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred certifications:
- AWS Certified Machine Learning Specialty
Required skills:
- Agile Methodology
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- Data Science
- Deep Learning
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Scikit-learn (Machine Learning Library)
- Software Engineering
- TensorFlow