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Lead Machine Learning Engineer

Code and TheoryBengaluru, Karnataka, India
On-site Full-time

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Experience Level

Manager

Qualifications

Required Qualifications:PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Demonstrated experience in developing and deploying large language models (LLMs) with a thorough understanding of their architectures and applications. Robust background in multi-agent systems, flow engineering, and associated AI technologies. Proven track record of leading and mentoring teams of machine learning engineers and data scientists. Exceptional communication and presentation skills, capable of conveying complex concepts clearly. Professional experience in developing Python libraries for machine learning applications, with a strong grasp of frameworks such as Pytorch, HuggingFace, and Langchain/LlamaIndex. Excellent problem-solving abilities and a knack for critical and creative thinking. A history of published research in esteemed journals or conferences is advantageous.

About the job

Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.

Key Responsibilities:

  • Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.
  • Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.
  • Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.
  • Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.
  • Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.
  • Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.
  • Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.

About Code and Theory

Founded in 2001, Code and Theory is a pioneering digital-first creative agency that merges creativity with technology. We are dedicated to addressing consumer and business challenges while empowering our clients to develop new capabilities. Our impressive global clientele spans various industries, reflecting our commitment to innovation and excellence.

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