AI/ML Engineer, 2+ years experience Job Description Template
As an AI/ML Engineer, you will design, develop, and implement machine learning models and AI algorithms to solve complex business problems. You will collaborate with cross-functional teams to integrate these solutions into our products and services. Your work will directly impact the efficiency and scalability of our technological infrastructure.
Responsibilities
- Design and implement machine learning models and AI algorithms
- Analyze and preprocess raw data for ML models
- Collaborate with data scientists and software engineers to integrate ML models into production systems
- Perform model training, validation, and testing
- Monitor and fine-tune model performance and scalability
- Stay updated with the latest AI and ML trends and technologies
- Document processes, models, and code in a clear and organized manner
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 2+ years of experience in machine learning, AI, or related fields
- Strong programming skills in Python or related languages
- Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn
- Proficiency in data preprocessing and feature engineering
- Strong problem-solving skills and analytical thinking
- Excellent communication and teamwork skills
Skills
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Data preprocessing
- Model validation and testing
- Algorithm development
- Version control (Git)
- Docker
- SQL
Frequently Asked Questions
An AI/ML Engineer with 2 years of experience is responsible for designing and implementing machine learning algorithms and models. They work with data scientists to analyze data, select suitable algorithms, and deploy models into production. They focus on optimizing model performance, ensuring accuracy, and maintaining systems. They may also participate in debugging and refining existing AI systems.
To become an AI/ML Engineer with over 2 years of experience, one should have a strong foundation in computer science, mathematics, and software development. Obtaining a degree in computer science, engineering, or a related field, followed by gaining practical experience with machine learning frameworks and programming languages like Python or R is recommended. Advanced courses or certifications in AI/ML can also enhance career prospects.
The average salary for an AI/ML Engineer with 2 years of experience can vary significantly based on factors such as location, employer, and industry. Generally, AI/ML Engineers enjoy competitive salaries due to high demand for their skills. Research indicates that they can expect compensation that reflects their specialized knowledge in machine learning and AI technologies.
An AI/ML Engineer with 2 years of experience should have a bachelor's degree in computer science, data science, or a related area. Proficiency in programming languages such as Python, a solid understanding of machine learning algorithms, and experience with AI frameworks like TensorFlow or PyTorch are often required. Employers may also look for problem-solving skills and practical experience in developing AI solutions.
An AI/ML Engineer with 2 years of experience should possess skills in data analysis, programming, and machine learning model development. Responsibilities include designing scalable AI systems, collaborating with interdisciplinary teams, and continuously improving model performance. Familiarity with tools such as TensorFlow, Scikit-learn, and cloud computing platforms is essential. Strong analytical thinking and communication skills are also vital.