AIML Engineer

MaximaTek; Pennsylvania; On-site; USD 70,000 - 110,000; Full time

Job summary

MaximaTek seeks an AI/ML Engineer to design, develop, train, and deploy ML solutions using Python and modern frameworks. Entry-level to mid-level candidates with hands-on AI projects are encouraged to apply.

You will handle data processing, model development, and production deployment, collaborating with data scientists and software engineers to deliver scalable AI-driven applications.

Qualifications

• Bachelor's or Master's degree in CS, Data Science, AI, ML, Engineering, Mathematics, or related field.
• Strong knowledge of Python.
• Understanding of ML concepts and algorithms.
• Knowledge of data structures, statistics, and basic mathematics.
• Experience with NumPy, Pandas, Scikit-learn or similar.
• Academic projects, internships, or personal AI/ML projects valued.
• 2–5 years of experience in AI/ML, data science, software engineering, or related field.
• Experience developing and deploying ML models.
• Strong Python programming and ML framework experience.
• Experience with cloud platforms and production ML systems preferred.

Responsibilities

• Develop, train, test, and deploy machine learning models.
• Apply supervised and unsupervised learning to business problems.
• Perform data preprocessing, feature engineering, and EDA.
• Build predictive and classification models using Python and ML frameworks.
• Work with structured and unstructured datasets.
• Evaluate model performance using appropriate metrics.
• Develop and integrate AI/ML solutions into production apps.
• Collaborate with data scientists, software engineers, and business teams.

Skills

Python

ML concepts

Data processing

Model development

Cloud platforms

Analytical thinking

Education

Bachelor's or Master's in CS/Data Science/AI/ML/Engineering/Math

Tools

NumPy

Pandas

Scikit-learn

Git

Jupyter Notebook

REST APIs

Job description

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have a strong foundation in Python, machine learning algorithms, data processing, and model development, with an interest in building scalable AI-driven applications.

This role is suitable for entry-level candidates, recent graduates, and mid-level professionals with hands-on academic, project, internship, or professional experience in AI/ML.

Key Responsibilities

• Develop, train, test, and deploy machine learning models.
• Apply supervised and unsupervised learning techniques to business problems.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Build predictive and classification models using Python and ML frameworks.
• Work with structured and unstructured datasets.
• Evaluate model performance using appropriate metrics and validation techniques.
• Develop and integrate AI/ML solutions into production applications.
• Work with data scientists, software engineers, and business teams to define requirements.
• Implement model optimization and improve accuracy, scalability, and reliability.
• Develop APIs and services for integrating ML models into applications.
• Monitor deployed models and troubleshoot performance issues.
• Maintain documentation for models, datasets, experiments, and technical processes.
• Stay current with developments in generative AI, NLP, computer vision, and machine learning.

Required Qualifications

Entry Level:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.
• Strong knowledge of Python.
• Understanding of machine learning concepts and algorithms.
• Knowledge of data structures, statistics, and basic mathematics.
• Experience with libraries such as NumPy, Pandas, Scikit-learn, or similar.
• Academic projects, internships, or personal projects in AI/ML are highly valued.
• 2–5 years of experience in AI/ML, data science, software engineering, or a related field.
• Experience developing and deploying machine learning models.
• Strong Python programming and ML framework experience.
• Experience working with cloud platforms and production ML systems is preferred.

Preferred Technical Skills

• Programming: Python, SQL
• Generative AI: LLMs, Prompt Engineering, RAG, Vector Databases
• Cloud: AWS, Azure, or Google Cloud
• Tools: Git, Jupyter Notebook, REST APIs

Key Skills

• Analytical and problem-solving abilities
• Understanding of machine learning lifecycle
• Ability to work with large datasets
• Good communication and teamwork skills
• Ability to translate business requirements into technical solutions
• Willingness to learn emerging AI technologies

Typical AI/ML Projects

Candidates may work on:

• Predictive analytics
• Recommendation systems
• Natural language processing

Ready to Take the Next Step?