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NLP/ML Engineer
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Описание вакансии
Job Title: NLP/ML Engineer
About Role
My colleagues are looking for a Machine Learning Engineer specializing in Natural Language Processing (NLP) tasks within the biomedical and materials science domains. The role focuses on areas such as text classification, information extraction from abstracts, patents, and clinical trials, multi-task learning, knowledge graph construction, and fine-tuning large language models (LLMs) for chemical and biomedical applications.
About company
The company is an end-to-end, AI-driven pharma-biotechnology team with a mission to accelerate drug discovery and development by leveraging their rapidly evolving, proprietary platform across biology, chemistry, and clinical development.
Responsibilities
• fine-tune and optimize Large Language Models on domain-specific or custom datasets;
• analyze errors, identify system limitations, and propose enhancements;
• search and review state-of-the-art solutions and new datasets for NLP tasks;
• design scalable and maintainable engineering solutions inspired by the latest research and innovation;
• translate academic innovation into scalable, maintainable engineering solutions;
• build and curate datasets using annotation tools, distant supervision, and expert annotations;
• collaborate closely with clients and internal stakeholders to align research-driven initiatives with business needs.
Required education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
Required experience and skills:
• fluent spoken English (B2+);
• 3+ years of hands-on experience in NLP, Machine Learning, and Deep Learning;
• strong understanding of Machine Learning, Deep Learning and AI;
• motivation to learn new things and apply creative solutions;
• hands-on experience in scaling and optimizing large language model (LLM) training and fine-tuning, including multi-GPU/multi-node setups.
• familiarity with DeepSpeed, FSDP, Megatron-LM, or
equivalent;
• ability to diagnose and resolve performance bottlenecks in distributed training;
• experience in fine-tuning LLMs (e.g. GPT, LLaMA, Mistral) on custom or domain-specific datasets.
Nice to have:
• knowledge of chemistry and biology, particularly for domain-specific NLP
applications in life sciences;
• familiarity with Reinforcement Learning concepts and frameworks.
Before applying, please note that relocation to Abu Dhabi after trial period (3 mo) and B2+ English level are mandatory for this position🤞🏻
If this vacancy resonates with your interests and experience or if you know someone who might find it suitable, please feel free to send your CV to me at 🧪
About Role
My colleagues are looking for a Machine Learning Engineer specializing in Natural Language Processing (NLP) tasks within the biomedical and materials science domains. The role focuses on areas such as text classification, information extraction from abstracts, patents, and clinical trials, multi-task learning, knowledge graph construction, and fine-tuning large language models (LLMs) for chemical and biomedical applications.
About company
The company is an end-to-end, AI-driven pharma-biotechnology team with a mission to accelerate drug discovery and development by leveraging their rapidly evolving, proprietary platform across biology, chemistry, and clinical development.
Responsibilities
• fine-tune and optimize Large Language Models on domain-specific or custom datasets;
• analyze errors, identify system limitations, and propose enhancements;
• search and review state-of-the-art solutions and new datasets for NLP tasks;
• design scalable and maintainable engineering solutions inspired by the latest research and innovation;
• translate academic innovation into scalable, maintainable engineering solutions;
• build and curate datasets using annotation tools, distant supervision, and expert annotations;
• collaborate closely with clients and internal stakeholders to align research-driven initiatives with business needs.
Required education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
Required experience and skills:
• fluent spoken English (B2+);
• 3+ years of hands-on experience in NLP, Machine Learning, and Deep Learning;
• strong understanding of Machine Learning, Deep Learning and AI;
• motivation to learn new things and apply creative solutions;
• hands-on experience in scaling and optimizing large language model (LLM) training and fine-tuning, including multi-GPU/multi-node setups.
• familiarity with DeepSpeed, FSDP, Megatron-LM, or
equivalent;
• ability to diagnose and resolve performance bottlenecks in distributed training;
• experience in fine-tuning LLMs (e.g. GPT, LLaMA, Mistral) on custom or domain-specific datasets.
Nice to have:
• knowledge of chemistry and biology, particularly for domain-specific NLP
applications in life sciences;
• familiarity with Reinforcement Learning concepts and frameworks.
Before applying, please note that relocation to Abu Dhabi after trial period (3 mo) and B2+ English level are mandatory for this position🤞🏻
If this vacancy resonates with your interests and experience or if you know someone who might find it suitable, please feel free to send your CV to me at 🧪
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