We are looking for a highly motivated Junior AI/ML Engineer to join our dynamic team. In this role, you will contribute to designing, developing, and deploying machine learning models and AI solutions to solve real-world problems.
Junior AI/ML Engineer
Job Summary
Job Title: Junior AI/ML Engineer
We are looking for a highly motivated Junior AI/ML Engineer to join our dynamic team. In this role, you will contribute to designing, developing, and deploying machine learning models and AI solutions to solve real-world problems. The ideal candidate has a strong foundation in mathematics, programming, and machine learning concepts and is eager to learn and grow in the field of artificial intelligence.
Key Responsibilities
Data Preprocessing: Collect, clean, and preprocess structured and unstructured data to ensure quality inputs for machine learning models.
Model Development: Assist in designing, training, testing, and deploying machine learning and deep learning models for various projects.
Feature Engineering: Collaborate with senior team members to identify, extract, and engineer relevant features for model performance.
Model Evaluation: Analyze the performance of machine learning models using evaluation metrics and optimize them for better accuracy and efficiency.
Research and Experimentation: Stay updated with the latest AI/ML trends and tools; implement and experiment with innovative techniques under guidance.
Integration and Deployment: Work with cross-functional teams to integrate ML models into production environments using APIs or deployment pipelines.
Documentation: Create clear and concise documentation for datasets, models, experiments, and code to ensure reproducibility and knowledge sharing.
Qualifications and Skills Required:
Education:
Bachelor's degree in Computer Science, Data Science, AI/ML.
Programming:
Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
Mathematics:
Strong understanding of linear algebra, probability, statistics, and optimization techniques.
Data Skills:
Experience with data manipulation tools (e.g., pandas, NumPy) and data visualization libraries (e.g., Matplotlib, Seaborn).
Version Control:
Knowledge of Git for collaborative development.
Problem-Solving:
Analytical mindset with a passion for solving complex problems.
Communication:
Ability to effectively communicate technical concepts to non-technical stakeholders.
Total Experience 0 - 3 years
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Resources
- +1 (408) 715-7754
- sales@criterionnetworks.com
- 5201 Great America Pkwy #272 Santa Clara, CA 95054, USA
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