Machine Learning Engineer
1 month ago
We are seeking a highly skilled Machine Learning Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing, Large Language Models, Computer Vision, Voice Synthesis, and more.
This role is ideal for a candidate who is SC Cleared or eligible for SC clearance, with a strong background in machine learning and a passion for innovation.
Key Responsibilities- Work on challenging ML problems for customers, including R&D activities and the implementation of early-stage research.
- Perform extensive experimentation throughout the project lifecycle, from data collection to defining and developing model architectures.
- Contribute to meeting project and product deliverables, ensuring they are completed on schedule and within budget.
- You'll work with state-of-the-art machine learning frameworks like PyTorch and TensorFlow to develop and deploy models.
- You'll use Redis and SQL databases and have working knowledge of AWS services to manage data storage and processing.
- You'll use GitHub for version control, Docker and Kubernetes for deployment and integration, and Jira for collaboration.
- You'll have the opportunity to deploy models on edge devices, particularly the Nvidia Jetson family (e.g., TX2, Orin), and specialized hardware like the Deepwave AIR-T.
- You'll work with MLOps pipelines, particularly using ClearML, and monitoring tools such as Grafana to ensure smooth operations and performance tracking across environments.
- Proven experience as an ML Engineer, particularly in R&D or exploratory environments.
- Strong problem-solving skills with a creative, experimental approach.
- Ability to work independently and handle uncertainty in data quality and technology preferences.
- Experience working on complex projects involving NLP, LLM, Computer Vision, and similar cutting-edge technologies.
- Eligibility for SC Clearance (Essential) or existing SC Clearance preferred.
- Work on groundbreaking ML projects, including NLP, LLM, Computer Vision, and Voice Synthesis.
- Be part of a dynamic R&D team where innovation and experimentation are encouraged.
- Contribute to high-impact projects that push the boundaries of current ML technologies.
- Benefit from a hybrid working model with flexibility and collaboration opportunities.
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