Entry Level AI ML Engineer

Description

Benda Infotech is excited to announce an opportunity for an Entry-Level AI / Machine Learning Engineer to join our innovative team. This full-time on-site position is ideal for recent graduates or individuals looking to begin their careers in the rapidly evolving field of artificial intelligence and machine learning.

In this role you will contribute to developing intelligent data-driven solutions that enhance automation decision-making and efficiency across various applications. You will collaborate with experienced engineers and data professionals on impactful projects that push the boundaries of technology. We offer a competitive salary range of $72000 $120000 annually along with a supportive work environment that fosters professional growth and development.

Key Responsibilities

• Assist in building and deploying machine learning models
• Work with structured and unstructured data for analysis and model development
• Collaborate with senior engineers on data preprocessing feature engineering and model evaluation
• Support integration of ML models into production systems
• Participate in testing debugging and performance optimization
• Contribute to documentation and reporting
• Stay updated with the latest developments in AI and machine learning

Required Qualifications

• Bachelors degree in Computer Science Data Science Engineering or a related field
• Basic understanding of machine learning concepts and algorithms
• Programming experience in Python (preferred) or Java/C
• Familiarity with libraries such as TensorFlow PyTorch or Scikit-learn is a plus
• Knowledge of data structures algorithms and statistics fundamentals
• Strong analytical and problem-solving skills
• Ability to work in a team-oriented environment
• Good communication skills

Preferred (Nice to Have)

• Hands-on experience with Python for data analysis and machine learning
• Familiarity with Scikit-learn for building machine learning models
• Basic knowledge of SQL for data querying and data handling
• Exposure to deep learning frameworks such as PyTorch