Senior Deep Learning Engineer
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Job Description
Senior Deep Learning Engineer at Loti AI specializing in online threat detection and digital identity protection. Leading development of cutting-edge deep learning models and systems.
Responsibilities:
- Design, train, and deploy advanced deep learning models for various applications.
- Optimize models for performance, scalability, and efficiency on various hardware platforms.
- Stay updated with the latest advancements in deep learning, AI, and related technologies.
- Architect and implement scalable and reliable machine learning pipelines for training and inference.
- Collaborate with software and DevOps engineers to deploy models into production environments.
- Work closely with cross-functional teams to define project goals and deliverables.
- Provide mentorship and technical guidance to junior team members and peers.
- Collaborate with data engineering teams to preprocess, clean, and augment large datasets.
- Define and monitor key performance metrics to evaluate model performance and impact.
Requirements:
- MS in Data Science or Computer Science (PhD strong plus), or specialization in Deep learning.
- 5+ years of experience in developing and deploying deep learning models.
- Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and transformers.
- Firm understanding of Data Structures and Algorithms.
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Familiarity with distributed computing frameworks such as Spark or Dask.
- Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes).
- Experience with at least one specialized domain, such as computer vision, NLP, or Audio.
- Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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