Key Responsibilities:
Model Development:
Develop, train, and evaluate machine learning models using Python libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.
Implement supervised, unsupervised, reinforcement learning models as per the project needs.
Build models for predictive analytics, classification, clustering, natural language processing (NLP), or computer vision.
Data Preparation:
Collect, clean, and preprocess data from various sources to ensure high-quality inputs for model training.
Use libraries like Pandas and NumPy for data wrangling, and visualize data trends with Matplotlib and Seaborn.
Feature Engineering:
Analyze and extract relevant features from raw data to improve model performance.
Perform data transformations, encoding categorical variables, and dealing with missing values.
Model Optimization and Evaluation:
Fine-tune models using techniques like cross-validation, hyperparameter tuning, and performance metrics (e.g., accuracy, precision, recall, F1-score, ROC-AUC).
Required Skills & Qualifications:
Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, and Seaborn.
Strong understanding of machine learning algorithms, including linear regression, decision trees, random forests, neural networks, clustering, etc.
Experience in data wrangling and feature engineering.
Familiarity with cloud services (e.g., AWS Sagemaker, Azure ML, or Google Cloud AI).
Solid understanding of statistics, data analysis, and hypothesis testing.
Problem-solving and critical thinking skills.
Strong communication skills to explain complex models and their results.
Experience with version control (e.g., Git) and working in an agile environment is a plus.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.