Machine Learning Engineer

About the Role

We are seeking a motivated and technically curious Machine Learning Engineer to join our growing data and AI team. This entry-level role focuses on supporting the development, testing, and deployment of machine learning models and data-driven solutions. The ideal candidate has a strong foundation in programming, data analysis, and a passion for building intelligent systems.

Key Responsibilities

• Assist in developing, training, and evaluating machine learning models
• Perform data preprocessing, cleaning, and feature engineering
• Work with datasets to build predictive and analytical solutions
• Collaborate with data scientists and engineers on ML projects
• Support model deployment and integration into applications
• Monitor model performance and contribute to optimization efforts
• Document code, workflows, and model outputs
• Stay updated with emerging trends in machine learning and AI

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• 0–1 year of experience in machine learning, data science, or software development (internships included)
• Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn
• Basic understanding of machine learning algorithms and statistical concepts
• Knowledge of data structures and data processing techniques
• Strong analytical and problem-solving skills
• Good communication and teamwork abilities

Preferred Qualifications

• Exposure to cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform
• Familiarity with SQL and database systems
• Basic knowledge of APIs and software development practices
• Exposure to deep learning, NLP, or computer vision concepts
• Understanding of version control systems (e.g., Git)

Skills

• Machine Learning Fundamentals
• Python & ML Libraries
• Data Processing & Analysis
• Problem Solving & Analytical Thinking
• Collaboration & Communication

What We Offer

• Competitive, market-aligned compensation
• Hands-on experience with real-world ML and AI projects
• Structured training and mentorship programs
• Career growth opportunities in AI and data domains
• Collaborative and innovation-driven work environment

Equal Opportunity Statement

We are an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration without regard to race, religion, gender, age, disability, or any other protected status.