Machine Learning Engineer-Novixpert

        📢 Job Opportunity Alert!

Position: Machine Learning Engineer
Location: Remote
Company: Novixpert  
Type: Internship
Stipend: INR 10K - 12K
Duration: 3 Months
Deadline: 8 February 2025

Responsibilities:

• Collaborate with senior machine learning engineers to understand project requirements and objectives.
• Develop and maintain edge-based software applications that interface with high-resolution cameras.
• Write and optimize the orchestration layer to manage machine learning models and inference results.
• Implement and test machine learning models in edge environments.
• Assist in integrating machine learning solutions with hardware and software components.
• Conducted performance analysis and optimized deployed models for efficiency.
• Troubleshoot and resolve issues related to model deployment and inference.
• Document development processes, model configurations, and system updates.

Requirements:

Mandatory Skills:

• Proficiency in C/C++ for software development.
• Understanding of Machine Learning concepts and applications.
• Experience with Computer Vision techniques and frameworks.

Optional Skills (Preferred):

• Familiarity with OpenCV for image processing.
• Basic knowledge of JavaScript for web-based interfaces.
• Experience with AWS for cloud-based deployment.
• Understanding of IoT concepts and edge computing.

Educational Qualifications:

• Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or a related field.

Technical Skills:

• Experience with Python, C++, or Java.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of edge computing platforms such as NVIDIA Jetson.
• Understanding of containerization tools like Docker (preferred).
• Experience with RESTful APIs and microservices architecture (preferred).

Soft Skills:

• Strong problem-solving abilities and attention to detail.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.

How to Apply: Click Here