Game Tester Freshers Walk-in Drive - GlobalStep Pune

Salary

Not Disclosed

Location

Gurugram

Highlights

Design high-performance ML solutions, optimize inference systems for low latency, collaborate on cross-functional teams.

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Description

Are you a seasoned MACHINE LEARNING ENGINEER with a passion for driving innovation through cutting-edge technology? Join our dynamic team as a Senior Machine Learning Engineer, where you’ll be at the forefront of developing and deploying large-scale, high-performance machine learning (ML) solutions. This role is ideal for professionals who are not only technically proficient but also possess strong cross-functional collaboration skills.

Your primary responsibilities will include designing, building, and optimizing ML pipelines that cater to real-world production environments. You’ll work closely with cross-functional teams to refine models, ensuring they meet stringent service-level agreements (SLAs) while maintaining system efficiency and security. Your expertise in deep learning, inference optimization, data engineering, and deployment strategies will be crucial in driving our mission forward.

Key responsibilities include:

• End-to-End ML Pipeline Development: Build and optimize model training, evaluation, and deployment pipelines for large-scale production environments.
• High-Performance Inference Engineering: Architect and scale distributed inference systems capable of processing high request volumes with minimal latency and efficient compute utilization.
• Model Optimization and Tuning: Implement advanced techniques such as quantization, pruning, ONNX/TensorRT acceleration, and GPU-level optimizations to enhance real-time performance.
• Data Engineering and Processing: Develop robust data ingestion, preprocessing, and augmentation frameworks for structured, unstructured, and multimodal datasets while ensuring data integrity and quality.

As a Senior Machine Learning Engineer at our company, you will be part of a vibrant team committed to excellence in machine learning engineering. We offer competitive compensation, a collaborative work environment, and the opportunity to grow professionally alongside industry experts.

Skills

Deep-Learning Inference-Optimization Data-Engineering MLOps Python-(PyTorch/TensorFlow)