Junior AI/ML Engineer

Responsibilities

• Assist in developing, training, and testing machine learning models for business applications
• Collect, clean, preprocess, and organize structured and unstructured datasets
• Support data analysis and exploratory data analysis to identify patterns and trends
• Implement basic machine learning algorithms for classification, regression, and clustering tasks
• Assist in evaluating model performance using appropriate metrics and validation techniques
• Develop and maintain Python scripts for data processing and model development
• Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
• Support feature engineering, data transformation, and model optimization activities
• Collaborate with data scientists, software engineers, and cross-functional teams
• Assist in documenting model development processes, experiments, and technical findings
• Participate in debugging, testing, and improving AI/ML applications
• Follow best practices for data quality, model reliability, security, and responsible AI development

Preferred

• Academic projects, internships, or practical experience in AI, machine learning, or data science
• Familiarity with TensorFlow, PyTorch, or Scikit-learn
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud
• Exposure to Git, APIs, Jupyter Notebook, or model deployment concepts

Benefits

• Remote work
• United Consulting Hub is a business consulting company that provides risk management and information technology services.
• Metuchen, New Jersey, USA
• https://unitedconsultinghub.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Customer Service and Support
• Trends of Total Sponsorships
• *2026
• (18)
• 2025
• (28)
• 2024
• (15)
• 2023
• (1)
• Growth Stage
• Leadership Team
• Babjee M
• Founder
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Qualifications

• Experience: 0–2 years
• recent graduates in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related fields
• Basic knowledge of Python programming and object-oriented programming concepts
• Understanding of fundamental machine learning algorithms and statistical concepts
• Familiarity with data manipulation, preprocessing, and visualization techniques
• Basic knowledge of SQL and database concepts
• Understanding of model training, testing, evaluation, and performance metrics
• Strong analytical thinking, problem-solving, and communication skills
• Recent graduates in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related fields
• Academic projects, internships, or practical experience in AI, machine learning, or data science
• Familiarity with TensorFlow, PyTorch, or Scikit-learn
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud
• Exposure to Git, APIs, Jupyter Notebook, or model deployment concepts

Required skills

• Data Preprocessing, Data Visualization, Database Concepts, Machine Learning, Model Evaluation, Object-Oriented Programming, PyTorch, Python, SQL, Scikit-learn, Statistics, TensorFlow

Preferred skills

• Familiarity with TensorFlow, PyTorch, or Scikit-learn

Experience

• Entry level