Senior Deep Learning Engineer
1 month ago
Senior Deep Learning EngineerLocation:
Remote
Responsibilities:
Provide technical leadership in the development and deployment of
advanced AI models
for generating realistic virtual environments and interactions.Oversee the integration of new
AI models
into our platform's infrastructure, ensuring seamless deployment, scalability, and efficient resource utilization.Drive the optimization of AI model performance, spearheading experimentation, evaluation, and the application of cutting-edge techniques.Design and oversee robust data pipelines, ensuring the availability of high-quality, labeled datasets for training and evaluation purposes.Act as the subject matter expert in deep learning, staying abreast of the latest advancements in the field of
NLP and Computer Vision .Maintain comprehensive documentation for models, algorithms, infrastructure, and data pipelines, facilitating accessibility and reproducibility.Mentor, guide, and provide technical leadership to junior team members, fostering a culture of continuous learning and improvement while sharing your knowledge and expertise.Coordinate cross-functional teams, including product managers, full-stack engineers, market researchers, to define requirements, set technical direction, and architect scalable solutions.Manage project timelines, and deliverables, ensuring timely and efficient completion of project milestones.
Requirements:
Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. OR equivalent experience that can be demonstrated with prior work.5+ years of experience in developing and deploying deep learning models, with a focus on advanced AI techniques and a proven track record of successful projects.Strong theoretical and practical knowledge of the development, deployment, and optimisation of transformers-based models.Proven experience in leading and managing teams, with strong project management skills and the ability to coordinate cross-functional efforts.Knowledge of Agile development methodologies and tools, with experience leading teams in Agile environments.Proficiency in programming languages such as
Python, or C++Expertise in deep learning frameworks such as
Ray, TensorFlow, or PyTorch .Experience with containerization and orchestration technologies, such as
Docker and Kubernetes , for deploying and managing AI applications.Extensive experience with distributed computing and cloud platforms (e.g.,
AWS, GCP, or Azure ) for training and deploying large-scale models.Demonstrated ability to design, develop, and optimize data pipelines for machine learning applications, with experience leading data engineering efforts.In-depth understanding of machine learning concepts and with the ability to guide teams in these areas.Exceptional problem-solving and analytical skills, with the capacity to think creatively, propose innovative solutions, and drive technical decision-making.Strong communication and leadership skills, with the ability to effectively convey complex ideas, facilitate collaboration among diverse teams, and influence stakeholders.Strong understanding of ethical AI principles and practices, including fairness, accountability, transparency, and explainability.
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