- Entry-Level AI / Machine Learning Engineer
- Full-Time
- Candidate must be open to relocate
- Job Summary
- We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and work on real-world projects.
- Key Responsibilities
- Develop, train, and evaluate machine learning models.
- Clean, preprocess, and analyze structured and unstructured datasets.
- Implement supervised and unsupervised machine learning algorithms.
- Assist in developing AI solutions using Python and popular ML libraries.
- Perform model testing, optimization, and performance evaluation.
- Work with senior engineers and data scientists to solve technical problems.
- Create data visualizations and reports to communicate model results.
- Research emerging AI and machine learning techniques.
- Document code, experiments, and project findings.
- Assist with deploying machine learning models into production environments.
- Required Skills
- Basic knowledge of Python and programming fundamentals.
- Understanding of machine learning concepts and algorithms.
- Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools.
- Basic understanding of statistics and probability.
- Familiarity with SQL and databases.
- Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
- Knowledge of Git/GitHub.
- Strong problem-solving and analytical skills.
- Good to Have
- Exposure to TensorFlow or PyTorch.
- Basic knowledge of deep learning and neural networks.
- Familiarity with NLP, computer vision, or generative AI.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Academic, personal, internship, or GitHub projects involving AI/ML.
- Education
- Bachelor's degree or equivalent coursework in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field.
- Recent graduates and candidates with relevant projects are encouraged to apply.
- Experience Level
- 1-4 years of experience.
- Internship, academic, and personal AI/ML projects are considered relevant experience.
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