Machine Learning Engineer
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Role details
Tech stack
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Job description
We are looking for a motivated Entry-Level AI/ML Engineer to join our technology team. The candidate will work on machine learning models, data preparation, AI applications, and automation projects while gaining hands-on experience with real-world datasets and AI technologies., * Assist in developing, training, and evaluating Machine Learning models.
- Collect, clean, preprocess, and analyze datasets.
- Implement basic supervised and unsupervised learning algorithms.
- Work with Python, NumPy, Pandas, Scikit-learn and related libraries.
- Assist in developing AI/ML solutions using Generative AI, NLP, or Computer Vision.
- Perform model testing, optimization, and performance evaluation.
- Work with senior engineers to deploy ML models into applications.
- Document experiments, results, and technical processes.
- Stay updated with emerging AI/ML technologies and frameworks.
Requirements
Machine Learning, Automation, Machine Learning, Artificial Intelligence (AI), Data Sets, Data Modeling, Analysis Skills, Algorithms, Python Programming/Scripting Language, Natural Language Processing (NLP), * Strong understanding of Python programming.
- Basic knowledge of Machine Learning and Statistics.
- Familiarity with NumPy, Pandas, Scikit-learn.
- Understanding of algorithms such as Regression, Classification, Decision Trees, and Clustering.
- Basic knowledge of SQL and databases.
- Familiarity with Git/GitHub.
- Good analytical and problem-solving skills.
Good to Have:
- Knowledge of TensorFlow or PyTorch.
- Exposure to Generative AI/LLMs, NLP, or Computer Vision.
- Basic understanding of AWS/Azure/GCP.
- Internship or academic project experience in AI/ML. xxzpjkt
Education:
Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.
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