Entry-Level AI/ML Engineer

Role Overview

Join DetaPent as an Entry-Level AI/ML Engineer on a fast-paced data science team. You’ll help design, build, evaluate, and deploy machine learning models to solve real-world business problems using both structured and unstructured data.

Responsibilities

• Design, develop, and deploy machine learning models for business use cases
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
• Work with structured and unstructured datasets to build predictive and classification models
• Collaborate with data engineers and analysts to ensure data quality and efficient pipelines
• Implement and test algorithms using Python-based ML libraries
• Support model evaluation, validation, and performance tuning
• Document workflows, model performance, and technical processes
• Participate in code reviews and team discussions
• Stay current with advancements in AI/ML technologies and frameworks

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
• Strong understanding of ML concepts (supervised/unsupervised learning, regression, classification, clustering)
• Proficiency in Python with Pandas, NumPy, and Scikit-learn
• Basic knowledge of deep learning frameworks: TensorFlow or PyTorch
• Familiarity with SQL and relational databases
• Understanding of data structures, algorithms, and statistics
• Strong problem-solving and analytical thinking
• Good communication and teamwork skills

Preferred Qualifications

• Hands-on experience via internships, academic, or personal AI/ML projects
• Exposure to NLP, Computer Vision, or Generative AI
• Knowledge of cloud platforms: AWS, Azure, or Google Cloud
• Experience with Git
• Familiarity with data visualization tools: Tableau, Power BI, Matplotlib, Seaborn