As the demand for artificial intelligence and data-driven solutions surges across industries, the role of a Machine Learning Engineer has become one of the most sought-after in India’s tech job market. If you’re looking to launch your career in this dynamic field, the latest Learning Engineer Job Offer with a salary range of ₹3 LPA to ₹4.5 LPA in 2024 presents a golden opportunity. This comprehensive guide covers everything you need to know about the role, salary trends, skills required, and how to apply before these positions are filled.
Also Read :- Golden opportunity for Internship in Indian Army, you will be able to learn work…
Also Read :- Remote Fullstack Developer Hybrid Job (full time) ₹ 8 LPA – 20 LPA Apply…
Table of Contents
About Job
Novixpert Tech Inc. is a leader in innovative technology solutions, pushing the boundaries of what’s possible with vision intelligence. Our team is dedicated to creating cutting-edge products that leverage the latest advancements in machine learning and edge computing. We are seeking a passionate and talented Machine Learning Engineer to join our team and contribute to the development of edge-based software applications.
Job Overview
As a Machine Learning Engineer, you will work on developing software applications that interface with high-resolution cameras and manage learning models at the edge. You will write the orchestration layer to handle the deployment, management, and consumption of inference results. This role offers a unique opportunity to gain hands-on experience with edge computing and machine learning in a dynamic and supportive environment.
Key Responsibilities
– Collaborate with other machine learning engineers to understand project requirements and objectives.
– Develop and maintain edge-based software applications that connect 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 the integration of machine learning solutions with hardware and software components.
– Conduct performance analysis and optimization of deployed models.
– Troubleshoot and resolve issues related to model deployment and inference.
– Document development processes, model configurations, and system updates.
Qualifications
– Graduated with a degree in Computer Science, Electrical Engineering, Data Science, or a related field.
– Basic understanding of machine learning concepts and applications.
– Experience with programming languages such as Python, C++, or Java.
– Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
– Knowledge of edge computing and IoT concepts.
– Strong problem-solving skills and attention to detail.
– Excellent communication and teamwork abilities.
– Eagerness to learn and adapt to new technologies and methodologies.
Preferred Qualifications
– Experience with high-resolution cameras and image processing.
– Familiarity with containerization tools like Docker.
– Understanding of RESTful APIs and microservices architecture.
– Knowledge of edge computing platforms such as NVIDIA Jetson, or similar.
What We Offer
– Hands-on experience with edge computing and machine learning applications.
– Mentorship from experienced professionals in the field.
– Opportunity to work on real-world projects and contribute to innovative solutions.
– Flexible working hours and a collaborative work environment.
Technical Skills
Programming: Proficiency in Python (preferred), R, or Java.
Machine Learning Libraries: scikit-learn, TensorFlow, PyTorch, Keras.
Mathematics & Statistics: Understanding of linear algebra, probability, and statistics.
Data Handling: Experience with Pandas, NumPy, and data visualization tools.
Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning.
Model Deployment: Basics of REST APIs, Docker, or cloud platforms (AWS, GCP, Azure).
Version Control: Familiarity with Git/GitHub.
Soft Skills
Problem-solving and analytical thinking.
Communication and teamwork.
Curiosity and willingness to learn new technologies.
Time management and adaptability.
How to Apply?
Machine Learning Engineer Job Offer ₹ 3 LPA – 4.5 LPA Apply Now 2024 Click here
