Emonics LLC
We are looking for a passionate Machine Learning Intern to join our AI/ML team. This internship offers hands‑on experience in data preprocessing, model development, and deployment while working alongside experienced data scientists and engineers. It’s an excellent opportunity for recent graduates or students seeking real‑world exposure to machine learning in an enterprise environment.
Key Responsibilities
Assist in building, testing, and optimizing machine learning models.
Clean, preprocess, and analyze structured and unstructured datasets.
Research and experiment with new algorithms and AI techniques.
Support the development of data pipelines and automation scripts.
Collaborate with cross‑functional teams to integrate ML solutions into applications.
Prepare reports and visualizations to communicate findings and results.
Required Qualifications
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Basic understanding of machine learning principles and data analysis.
Proficiency in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
Knowledge of data manipulation tools like Pandas and NumPy.
Strong problem‑solving, analytical, and communication skills.
Preferred Qualifications
Experience with visualization tools (Matplotlib, Seaborn, or Power BI).
Familiarity with cloud computing platforms (AWS, Azure, or GCP).
Coursework or personal projects related to AI/ML.
What You’ll Gain
Practical experience developing and deploying machine learning solutions.
Mentorship from experienced data scientists and software engineers.
Exposure to real‑world data challenges and project workflows.
A potential pathway to a full‑time role at Emonics LLC upon successful completion.
How to Apply Submit your resume and a short cover letter describing your interest in machine learning and any related projects to:
#J-18808-Ljbffr
Key Responsibilities
Assist in building, testing, and optimizing machine learning models.
Clean, preprocess, and analyze structured and unstructured datasets.
Research and experiment with new algorithms and AI techniques.
Support the development of data pipelines and automation scripts.
Collaborate with cross‑functional teams to integrate ML solutions into applications.
Prepare reports and visualizations to communicate findings and results.
Required Qualifications
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Basic understanding of machine learning principles and data analysis.
Proficiency in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
Knowledge of data manipulation tools like Pandas and NumPy.
Strong problem‑solving, analytical, and communication skills.
Preferred Qualifications
Experience with visualization tools (Matplotlib, Seaborn, or Power BI).
Familiarity with cloud computing platforms (AWS, Azure, or GCP).
Coursework or personal projects related to AI/ML.
What You’ll Gain
Practical experience developing and deploying machine learning solutions.
Mentorship from experienced data scientists and software engineers.
Exposure to real‑world data challenges and project workflows.
A potential pathway to a full‑time role at Emonics LLC upon successful completion.
How to Apply Submit your resume and a short cover letter describing your interest in machine learning and any related projects to:
#J-18808-Ljbffr