Learning Engineer

4 weeks ago

Bengaluru, India Adappt Intelligence Full time

Job Summary:
We are looking for an experienced Senior Machine Learning Engineer/Data Scientist with a proven track record in building and deploying machine learning models using NVIDIA technologies. Specifically, we value expertise in the TAO (Train, Adapt, Optimize) toolkit, DeepStream SDK, and TensorRT. The ideal candidate will excel in developing video intelligence solutions, optimizing models for real-time inference, and deploying scalable and efficient systems. Additionally, proficiency in AWS cloud services, including EC2, S3, Lambda, and IoT Core, is highly desirable. This role provides an exciting opportunity to lead and innovate in machine learning projects, work collaboratively with a dynamic team, and contribute to cutting-edge solutions.

Key Responsibilities:

•     Design, develop, and deploy machine learning models using the NVIDIA TAO toolkit and DeepStream SDK, focusing on video intelligence solutions for real-time object detection, tracking, and analysis.
•     Optimize machine learning models for inference using TensorRT to achieve high performance and low latency in production environments.
•     Utilize AWS cloud services, including EC2, S3, Lambda, and IoT Core, for model training, deployment, and data storage.
•     Collaborate with cross-functional teams to integrate machine learning solutions into scalable and robust applications.
•     Implement and manage MLOps processes to streamline machine learning model development, deployment, and monitoring.
•     Conduct research, experiment with new algorithms, and stay updated on the latest advancements in machine learning, AI, video intelligence, and NVIDIA technologies.
•     Lead and mentor junior team members, providing guidance, support, and expertise in machine learning best practices and methodologies.
•     Collaborate with stakeholders to understand business requirements, define project goals, and deliver high-quality solutions that meet or exceed expectations.
•     Participate in code reviews, debugging, and troubleshooting to ensure optimal performance, scalability, and reliability of machine learning systems.

Qualifications:

•     Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; or equivalent work experience.
•     6+ years of professional experience in machine learning, AI, and data science, with a focus on building and deploying models.
•     Proficiency in programming languages such as Python, C++, and SQL.
•     Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, NVIDIA TAO toolkit, DeepStream SDK, and TensorRT.
•     Knowledge of AWS cloud services and platform offerings, including EC2, S3, Lambda, and IoT Core.
•     Strong understanding of MLOps processes, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring.
•     Experience deploying and maintaining machine learning models in a production environment.
•     Experience with containerization technologies such as Docker and Kubernetes.
•     Strong communication skills, both written and verbal, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
•     Excellent problem-solving skills, attention to detail, and a collaborative mindset.
•     Motivated self-starter with a strong desire to learn new technologies and take ownership of projects and tasks.

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