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Machine Learning Engineer – Modeling Focus

Sleepiz India
Bhubaneswar, Orissa

Quick apply

Job details

Full-time

Qualifications

Rust (programming language)
Git
Analysis skills
Machine learning
Distributed systems
Scalability
Python
Debugging

Full job description

We are seeking a talented Machine Learning Engineer to join our team at Sleepiz and drive innovation in real-time vital signs monitoring. You will play a key role in developing our machine learning algorithms for performance, scalability, and real-time application. This position involves a mix of model training and optimization, system adaptation for real-time analysis, and reducing resource needs for inference. Your contributions will directly impact the scalability and efficiency of Sleepiz’s cutting-edge health monitoring solutions, ensuring high-quality, real-time insights for patients and healthcare providers.

Key Responsibilities:

Train/Optimize Machine Learning Models: Analyze and refine existing machine learning models for real-time vital signs monitoring, employing techniques like pruning, quantization, and knowledge distillation to enhance efficiency while maintaining accuracy.
Rewrite Performance-Critical Code: Identify computational bottlenecks in current algorithms and rewrite resource-intensive operations using high-performance languages like Rust.
Adapt Algorithms for Real-Time Processing: Ensure optimized models are adapted for real-time computation, enabling efficient live data processing for continuous health monitoring.
Collaborate Across Teams: Work closely with software engineers, data scientists, and healthcare experts to ensure seamless integration of optimized algorithms into the Sleepiz platform.
Contribute to Scalability and Reliability: Implement and test solutions that enhance the scalability, reliability, and robustness of Sleepiz’s vital signs monitoring system.
Stay Updated: Keep up with the latest developments in machine learning optimization and high-performance computing to continually improve our solutions.

Key Requirements:

Strong understanding of machine learning principles and experience optimizing models for performance.
At least 5 years of relevant work experience.
Proficiency in Python.
Familiarity with model optimization techniques, including pruning, quantization, and knowledge distillation.
Experience adapting algorithms for real-time data processing.
Strong problem-solving and analytical skills to identify and resolve algorithmic inefficiencies.
Understanding of performance-critical coding principles and experience rewriting computationally intensive code.
Knowledge of software engineering best practices, including testing, debugging, and version control using Git.

Nice-to-Have:

Exposure to MLOps workflows and deploying machine learning models in production environments.
Experience with NN architectures for sequential data (e.g., transformers, RNNs).
Experience with the Rust programming language.
Familiarity with healthcare or biometric data systems.
Experience working with live data streams or similar real-time systems.
Knowledge of system scalability and distributed computing principles.

Job Type: Full-time

Experience:

Machine learning: 3 years (Required)

Work Location: Hybrid remote in Bhubaneswar, Orissa

Quick apply

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