What are the responsibilities and job description for the Machine Learning Engineer position at Jobs via Dice?
MTSI is currently seeking a Machine Learning Engineer to join our team in Huntsville, Alabama.
Job Responsibilities:
We're seeking a highly motivated and talented entry-level Machine Learning Engineer to join our team in our Huntsville, AL office. This is an excellent opportunity for entry level candidates or early-career professionals who are passionate about building intelligent systems, data-driven applications, and scalable ML solutions. You will be mentored by senior technical leaders, work in a collaborative multi-disciplinary team, and have the unique opportunity of developing cutting-edge machine learning models that power real-world applications.
Qualifications:
Bachelor's degree in Computer Science, Mathematics, Physics, Biomedical Engineering, or a related field
Proficiency in programming languages such as Python and MATLAB
0-2 years of experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)
Knowledge of deep learning and optimization techniques
Experience with data visualization tools
Strong analytical and problem-solving skills
Excellent communication
Desired Skills:
Experience with Bio-inspired algorithms and metaheuristic optimization techniques, including evolutionary algorithms, genetic algorithms, or swarm intelligence
Experience conducting experiments, analyzing performance metrics, and optimizing models for accuracy and efficiency
Understanding of MBSE (Model-Based Systems Engineering) concepts and tools (e.g., SysML, Cameo) for integrating models into larger systems
Familiarity with version control (Git) and collaborative software development
Required Clearance: Must have US government security clearance: ship required.
Job Responsibilities:
We're seeking a highly motivated and talented entry-level Machine Learning Engineer to join our team in our Huntsville, AL office. This is an excellent opportunity for entry level candidates or early-career professionals who are passionate about building intelligent systems, data-driven applications, and scalable ML solutions. You will be mentored by senior technical leaders, work in a collaborative multi-disciplinary team, and have the unique opportunity of developing cutting-edge machine learning models that power real-world applications.
Qualifications:
Bachelor's degree in Computer Science, Mathematics, Physics, Biomedical Engineering, or a related field
Proficiency in programming languages such as Python and MATLAB
0-2 years of experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)
Knowledge of deep learning and optimization techniques
Experience with data visualization tools
Strong analytical and problem-solving skills
Excellent communication
Desired Skills:
Experience with Bio-inspired algorithms and metaheuristic optimization techniques, including evolutionary algorithms, genetic algorithms, or swarm intelligence
Experience conducting experiments, analyzing performance metrics, and optimizing models for accuracy and efficiency
Understanding of MBSE (Model-Based Systems Engineering) concepts and tools (e.g., SysML, Cameo) for integrating models into larger systems
Familiarity with version control (Git) and collaborative software development
Required Clearance: Must have US government security clearance: ship required.