Junior AI/ML Engineer

United Consulting Hub, Inc.; United States; On-site; USD 65,000 - 95,000; Full time

Job summary

United Consulting Hub, Inc. is seeking an Entry-Level AI/ML Engineer to support the development, testing, and implementation of AI and machine learning solutions.

You will work with data scientists and software engineers to build, validate, and deploy models, and you will preprocess data using NumPy, Pandas, and related libraries. This role is ideal for recent graduates in CS, IT, Data Science, AI, or related fields who want hands-on experience with TensorFlow, PyTorch, and Scikit-learn, along

Qualifications

• Basic knowledge of Python programming and OOP concepts.
• Understanding of fundamental ML algorithms and statistics.
• Familiarity with data preprocessing and visualization techniques.
• Basic SQL and database concepts.
• Understanding of model training, evaluation, and metrics.
• Strong analytical thinking and communication skills.

Responsibilities

• Assist in developing, training, and testing ML models for business applications.
• Collect, clean, preprocess, and organize datasets.
• Support data analysis and exploration to identify patterns.
• Implement basic ML algorithms for classification, regression, and clustering.
• Evaluate model performance using appropriate metrics and validation techniques.
• Develop Python scripts for data processing and model development.
• Collaborate with data scientists, software engineers, and cross-functional teams.
• Document 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.

Skills

Python

OOP concepts

ML algorithms

Data preprocessing

SQL basics

Data analysis

Communication

Education

Bachelor's degree in CS/IT/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

NumPy

Pandas

Jupyter Notebook

Job description

We are seeking a motivated and analytical Entry-Level AI/ML Engineer to support the development, testing, and implementation of artificial intelligence and machine learning solutions. This role is ideal for recent graduates in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related fields who are eager to build their careers in AI and machine learning technologies.

Key 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

Skills Required:

• 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

Preferred Skills:

• 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