Machine Learning Engineer — Learn & Grow (In‑Person)

App Innovation Technologies Pvt Ltd; Tennessee; On-site; USD 1,800 - 2,900; Full time

Benefits offered by this job

Performance-based incentives

Learning opportunities

Career development opportunities

Job summary

App Innovation Technology is seeking a Machine Learning Engineer to develop, train, and deploy ML models using Python and popular ML frameworks. You will handle data collection, preprocessing, and evaluation to ensure robust performance across real-world applications.

The role welcomes freshers and experienced candidates, offering learning opportunities, performance-based incentives, and career development paths. Work is in-person with opportunities to advance technical skills.

Qualifications

• Basic to advanced knowledge of Python programming.
• Understanding of machine learning concepts and algorithms.
• Knowledge of data analysis and model evaluation.
• Familiarity with AI tools and ML frameworks is an advantage.
• Good analytical, problem-solving, and communication skills.

Responsibilities

• Develop and implement machine learning models and algorithms.
• Work with data collection, preprocessing, and analysis.
• Build, train, and test ML models for real-world applications.
• Use Python and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Collaborate with the team to develop AI-powered solutions.
• Improve model accuracy and performance.

Skills

Python programming

Machine learning concepts

Data analysis

Model evaluation

Problem solving

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

App Innovation Technology is seeking a Machine Learning Engineer to develop, train, and deploy ML models using Python and popular ML frameworks. You will handle data collection, preprocessing, and evaluation to ensure robust performance across real-world applications.

The role welcomes freshers and experienced candidates, offering learning opportunities, performance-based incentives, and career development paths. Work is in-person with opportunities to advance technical skills.