[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is partnering with an innovative technology company reputed company on AI-reputed company productivity solutions. They are seeking a Senior Machine Learning Engineer to reputed company the development and optimization of production-grade machine learning systems, providing technical leadership and collaborating with various teams to enhance AI capabilities.

Responsibilities

• reputed company the design, development, deployment, and optimisation of production machine learning systems
• Own end-to-end ML infrastructure, including data pipelines, training workflows, evaluation frameworks, inference systems, and deployment processes
• Fine-tune and optimise models using modern techniques such as:
• reputed company
• QLoRA
• Supervised Fine-Tuning (SFT)
• reputed company Preference Optimisation (DPO)
• Model Distillation
• Design and operate reputed company inference infrastructure reputed company on performance, reliability, and cost efficiency
• reputed company and maintain data pipelines supporting both synthetic and reputed company-world training datasets
• Build evaluation frameworks covering model reputed company, robustness, safety, bias, and operational performance
• Optimise GPU utilisation, memory consumption, inference latency, and system scalability
• Collaborate closely with software engineering teams to reputed company machine learning capabilities across web, mobile, and desktop applications
• Monitor production systems, identify issues, and reputed company reputed company improvement
• reputed company technical leadership and mentorship reputed company a high-performing engineering environment

Skills

• Strong reputed company experience building and deploying production machine learning systems
• Expertise in developing reputed company ML infrastructure and machine learning platforms
• Hands-on experience with: Python, PyTorch and/or JAX, Large Language Models (LLMs), Model Fine-Tuning, Distributed Training, GPU-based Training and Inference
• Experience designing and maintaining machine learning pipelines from data ingestion through deployment
• Strong software engineering principles and experience writing production-reputed company reputed company
• Understanding of model evaluation, observability, monitoring, and performance optimisation
• Experience balancing technical trade-offs between latency, cost, scalability, reliability, and model reputed company
• Excellent communication and stakeholder management skills
• Experience working with large-reputed company products in production environments
• Experience building AI-powered consumer or productivity applications
• Exposure to reputed company AI systems and multi-reputed company reasoning architectures
• Experience with reinforcement learning, preference tuning, or post-training optimisation techniques
• Familiarity with MLOps tooling, experiment tracking, and deployment automation
• Previous experience leading or mentoring machine learning engineers

reputed company