Machine Learning Engineer

Tech Consulting is seeking an Entry-Level Machine Learning Engineer to support machine learning, artificial intelligence, data analysis, and software development initiatives. The role involves applying Python, SQL, machine learning algorithms, data processing, and ML frameworks while building experience through hands-on projects and modern AI technologies.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related field , or equivalent practical experience
• Knowledge of Python programming
• Understanding of fundamental machine learning concepts and algorithms
• Familiarity with NumPy, Pandas, and Scikit-learn
• Basic understanding of supervised and unsupervised learning
• Knowledge of SQL and relational databases
• Understanding of data preprocessing, feature engineering, model training, and evaluation
• Familiarity with common machine learning evaluation metrics
• Basic understanding of statistics and probability
• Familiarity with Git and version control
• Strong analytical, troubleshooting, and problem-solving skills
• Good communication and teamwork abilities
• Recent graduates with a degree in Computer Science, Data Science, AI, Engineering, Mathematics, Statistics, or a related field
• Candidates with 0–2 years of machine learning, data science, software engineering, or AI experience
• Candidates with hands-on Python, SQL, and machine learning projects
• Candidates who have completed machine learning internships, academic projects, or personal AI/ML projects
• Exposure to TensorFlow, PyTorch, Keras, or other machine learning frameworks
• Experience with Natural Language Processing (NLP), Computer Vision, or Generative AI
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
• Exposure to ML platforms and services such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI
• Knowledge of Docker and containerization
• Familiarity with machine learning pipelines and MLOps concepts
• Exposure to data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI
• Basic understanding of REST APIs and deploying machine learning models
• Familiarity with databases such as PostgreSQL, MySQL, MongoDB, or SQL Server
• Experience with academic, internship, or personal machine learning projects
• Exposure to Agile or Scrum development methodologies
• Canadian Citizens eligible to work in the U.S. under TN status are encouraged to apply
• Candidates who currently hold valid TN status are encouraged to apply
• Canadian Citizens eligible for TN status
• Current TN Visa holders